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ORCID37th AAAI 2023: Washington, DC, USA
- Brian Williams, Yiling Chen, Jennifer Neville:
Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023. AAAI Press 2023, ISBN 978-1-57735-880-0
AAAI Technical Track on Cognitive Modeling & Cognitive Systems
- Hasra Dodampegama
, Mohan Sridharan:
Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork. 3-10 - Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu:
Reducing ANN-SNN Conversion Error through Residual Membrane Potential. 11-21 - Wentao He, Jialu Zhang, Jianfeng Ren, Ruibin Bai, Xudong Jiang:
Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning. 22-30 - Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. 31-39 - Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman:
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks. 40-47 - Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen:
A Machine with Short-Term, Episodic, and Semantic Memory Systems. 48-56 - Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen:
Persuasion Strategies in Advertisements. 57-66 - Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao:
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild. 67-75 - Pritam Sarkar, Aaron Posen, Ali Etemad:
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work. 76-85 - Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang:
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. 86-93 - Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. 94-101 - Qingyu Wang, Tielin Zhang, Minglun Han, Yi Wang, Duzhen Zhang, Bo Xu:
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition. 102-109 - Shanshan Wang, Zhen Zeng, Xun Yang, Xingyi Zhang:
Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis. 110-118 - Mengting Wei, Xingxun Jiang, Wenming Zheng, Yuan Zong, Cheng Lu, Jiateng Liu:
CMNet: Contrastive Magnification Network for Micro-Expression Recognition. 119-127 - Benedict Wilkins, Kostas Stathis:
Disentangling Reafferent Effects by Doing Nothing. 128-136 - Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang:
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms. 137-147 - Ruizhe Zheng, Jun Li, Yi Wang, Tian Luo, Yuguo Yu:
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges. 148-158
AAAI Technical Track on Computer Vision I
- Amro Abbas, Stéphane Deny:
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses. 160-168 - Sumyeong Ahn, Se-Young Yun:
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels. 169-177 - Naveed Akhtar, Mohammad Amir Asim Khan Jalwana:
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers. 178-186 - Jinwoo Bae, Sungho Moon, Sunghoon Im:
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation. 187-196 - Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun:
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. 197-205 - Yue Bai, Dipu Manandhar, Zhaowen Wang, John P. Collomosse, Yun Fu:
Layout Representation Learning with Spatial and Structural Hierarchies. 206-214 - Peijun Bao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot:
Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization. 215-222 - Suvaansh Bhambri, Byeonghwi Kim, Jonghyun Choi:
Multi-Level Compositional Reasoning for Interactive Instruction Following. 223-231 - Xiuli Bi, Wuqing Yan, Bo Liu, Bin Xiao, Weisheng Li, Xinbo Gao:
Self-Supervised Image Local Forgery Detection by JPEG Compression Trace. 232-240 - Yonatan Bitton, Ron Yosef, Eliyahu Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky:
VASR: Visual Analogies of Situation Recognition. 241-249 - Pingping Cai, Zhenyao Wu, Xinyi Wu, Song Wang:
Parametric Surface Constrained Upsampler Network for Point Cloud. 250-258 - Yiqing Cai, Lianggangxu Chen, Haoyue Guan, Shaohui Lin, Changhong Lu, Changbo Wang, Gaoqi He:
Explicit Invariant Feature Induced Cross-Domain Crowd Counting. 259-267 - Junyan Cao, Yan Hong, Li Niu:
Painterly Image Harmonization in Dual Domains. 268-276 - Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu:
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. 277-285 - Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Xiongwu Xiao, Bisheng Yang:
KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion. 286-294 - Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr:
Deconstructed Generation-Based Zero-Shot Model. 295-303 - Jiayi Chen, Mi Yan, Jiazhao Zhang, Yinzhen Xu, Xiaolong Li, Yijia Weng, Li Yi, Shuran Song, He Wang:
Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild. 304-312 - Junjie Chen, Li Niu, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang:
Amodal Instance Segmentation via Prior-Guided Expansion. 313-321 - Lei Chen, Fei Du, Yuan Hu, Zhibin Wang, Fan Wang:
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting. 322-330 - Rongshan Chen, Hao Sheng, Da Yang, Sizhe Wang, Zhenglong Cui, Ruixuan Cong:
Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction. 331-339 - Rufeng Chen, Bolun Zheng, Hua Zhang, Quan Chen, Chenggang Yan, Gregory G. Slabaugh, Shanxin Yuan:
Improving Dynamic HDR Imaging with Fusion Transformer. 340-349 - Shiyan Chen, Zhaofei Yu, Tiejun Huang:
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera. 350-358 - Shuo Chen, Binbin Yan, Xinzhu Sang, Duo Chen, Peng Wang, Xiao Guo, Chongli Zhong, Huaming Wan:
Bidirectional Optical Flow NeRF: High Accuracy and High Quality under Fewer Views. 359-368 - Wen-Cheng Chen, Chu-Song Chen, Wei-Chen Chiu, Min-Chun Hu:
Scalable Spatial Memory for Scene Rendering and Navigation. 369-377 - Xiang Chen, Jinshan Pan, Jiyang Lu, Zhentao Fan, Hao Li:
Hybrid CNN-Transformer Feature Fusion for Single Image Deraining. 378-386 - Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, Wilton W. T. Fok, Xiaojuan Qi, Yik-Chung Wu:
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection. 387-395 - Yizhen Chen, Jie Wang, Lijian Lin, Zhongang Qi, Jin Ma, Ying Shan:
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval. 396-404 - Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen:
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning. 405-413 - Zihan Chen, Ziyue Wang, Jun-Jie Huang, Wentao Zhao, Xiao Liu, Dejian Guan:
Imperceptible Adversarial Attack via Invertible Neural Networks. 414-424 - De Cheng, Xiaolong Wang, Nannan Wang, Zhen Wang, Xiaoyu Wang, Xinbo Gao:
Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding. 425-432 - Jiaxin Cheng, Yue Wu, Ayush Jaiswal, Xu Zhang, Pradeep Natarajan, Prem Natarajan:
User-Controllable Arbitrary Style Transfer via Entropy Regularization. 433-441 - Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu:
Neural Architecture Search for Wide Spectrum Adversarial Robustness. 442-451 - Qiaosong Chu, Shuyan Li, Guangyi Chen, Kai Li, Xiu Li:
Adversarial Alignment for Source Free Object Detection. 452-460 - Peishan Cong, Yiteng Xu, Yiming Ren, Juze Zhang, Lan Xu, Jingya Wang, Jingyi Yu, Yuexin Ma:
Weakly Supervised 3D Multi-Person Pose Estimation for Large-Scale Scenes Based on Monocular Camera and Single LiDAR. 461-469 - Mingyue Cui, Junhua Long, Mingjian Feng, Boyang Li, Kai Huang:
OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement. 470-478 - Yuning Cui, Yi Tao, Wenqi Ren, Alois Knoll:
Dual-Domain Attention for Image Deblurring. 479-487 - Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu:
Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition. 488-496 - Jiangfan Deng, Dewen Fan, Xiaosong Qiu, Feng Zhou:
Improving Crowded Object Detection via Copy-Paste. 497-505 - Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. 506-515 - Bo Dong, Pichao Wang, Fan Wang:
Head-Free Lightweight Semantic Segmentation with Linear Transformer. 516-524 - Jianfeng Dong, Shengkai Sun, Zhonglin Liu, Shujie Chen, Baolong Liu, Xun Wang:
Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning. 525-533 - Lintao Dong, Wei Zhai, Zheng-Jun Zha:
Exploring Tuning Characteristics of Ventral Stream's Neurons for Few-Shot Image Classification. 534-542 - Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. 543-551 - Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu, Baining Guo:
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers. 552-560 - Zhipeng Du, Jiankang Deng, Miaojing Shi:
Domain-General Crowd Counting in Unseen Scenarios. 561-570 - Yuxuan Duan, Yan Hong, Li Niu, Liqing Zhang:
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation. 571-578 - Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. 579-587 - Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang:
Target-Free Text-Guided Image Manipulation. 588-596 - Shuangkang Fang, Weixin Xu, Heng Wang, Yi Yang, Yufeng Wang, Shuchang Zhou:
One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation. 597-605 - Zijie Fang, Yang Chen, Yifeng Wang, Zhi Wang, Xiangyang Ji, Yongbing Zhang:
Weakly-Supervised Semantic Segmentation for Histopathology Images Based on Dataset Synthesis and Feature Consistency Constraint. 606-613 - Zhengcong Fei, Mingyuan Fan, Li Zhu, Junshi Huang, Xiaoming Wei, Xiaolin Wei:
Uncertainty-Aware Image Captioning. 614-622 - Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge:
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment. 623-631 - Xiaoyu Feng, Heming Du, Hehe Fan, Yueqi Duan, Yongpan Liu:
SEFormer: Structure Embedding Transformer for 3D Object Detection. 632-640 - Yuan Gao, Zilei Wang, Jiafan Zhuang, Yixin Zhang, Junjie Li:
Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation. 641-649 - Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Tong Xu, Jianxin Liao:
Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision. 650-657 - Chunjiang Ge, Shiji Song, Gao Huang:
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. 658-666 - Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li:
Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations. 667-675 - Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu:
Progressive Multi-View Human Mesh Recovery with Self-Supervision. 676-684 - Yi Gu, Chao Wang, Jie Li:
Incremental Image De-raining via Associative Memory. 685-693 - Zhihao Guan, Ruixin Liu, Zejian Yuan, Ao Liu, Kun Tang, Tong Zhou, Erlong Li, Chao Zheng, Shuqi Mei:
Flexible 3D Lane Detection by Hierarchical Shape Matching. 694-701 - Chunle Guo, Ruiqi Wu, Xin Jin, Linghao Han, Weidong Zhang, Zhi Chai, Chongyi Li:
Underwater Ranker: Learn Which Is Better and How to Be Better. 702-709 - Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen:
ShadowFormer: Global Context Helps Shadow Removal. 710-718 - Longwei Guo, Hao Zhu, Yuanxun Lu, Menghua Wu, Xun Cao:
RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs. 719-727 - Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge:
RankDNN: Learning to Rank for Few-Shot Learning. 728-736 - Yunfei Guo, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu:
Social Relation Reasoning Based on Triangular Constraints. 737-745 - Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui:
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention. 746-754 - Jiaming Han, Yuqiang Ren, Jian Ding, Ke Yan, Gui-Song Xia:
Few-Shot Object Detection via Variational Feature Aggregation. 755-763 - Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao:
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization. 764-772 - Kaijie He, Canlong Zhang, Sheng Xie, Zhixin Li, Zhiwen Wang:
Target-Aware Tracking with Long-Term Context Attention. 773-780 - Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W. H. Lau:
Weakly-Supervised Camouflaged Object Detection with Scribble Annotations. 781-789 - Ruozhen He, Jiaying Lin, Rynson W. H. Lau:
Efficient Mirror Detection via Multi-Level Heterogeneous Learning. 790-798 - Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang:
TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision. 799-807 - Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia:
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. 808-816 - Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang:
Parameter-Efficient Model Adaptation for Vision Transformers. 817-825 - Yuze He, Yubin Hu, Wang Zhao, Jisheng Li, Yong-Jin Liu, Yuxing Han, Jiangtao Wen:
DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images. 826-834 - Haotian Hu, Fanyi Wang, Zhiwang Zhang, Yaonong Wang, Laifeng Hu, Yanhao Zhang:
GAM: Gradient Attention Module of Optimization for Point Clouds Analysis. 835-843 - Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhongyuan Lai:
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. 844-853 - Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng:
Self-Emphasizing Network for Continuous Sign Language Recognition. 854-862 - Mengshun Hu, Kui Jiang, Zhixiang Nie, Jiahuan Zhou, Zheng Wang:
Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolution. 863-871 - Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun:
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. 872-880 - Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao:
High-Resolution Iterative Feedback Network for Camouflaged Object Detection. 881-889 - Xiaoming Hu, Zilei Wang:
Leveraging Sub-class Discimination for Compositional Zero-Shot Learning. 890-898 - Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. 899-907 - Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu:
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning. 908-916 - Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng:
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. 917-925 - Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-Robust Language-Image Pre-training. 926-934 - Tianyu Huang, Bowen Dong, Jiaying Lin, Xiaohui Liu, Rynson W. H. Lau, Wangmeng Zuo:
Symmetry-Aware Transformer-Based Mirror Detection. 935-943 - Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li:
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio. 944-952 - Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang:
Boosting Point Clouds Rendering via Radiance Mapping. 953-961 - Yangyu Huang, Xi Chen, Jongyoo Kim, Hao Yang, Chong Li, Jiaolong Yang, Dong Chen:
FreeEnricher: Enriching Face Landmarks without Additional Cost. 962-970 - Md Mofijul Islam, Alexi Gladstone, Tariq Iqbal:
PATRON: Perspective-Aware Multitask Model for Referring Expression Grounding Using Embodied Multimodal Cues. 971-979 - Jiho Jang, Chaerin Kong, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak:
Unifying Vision-Language Representation Space with Single-Tower Transformer. 980-988 - Kai Jia, Hongwen Zhang, Liang An, Yebin Liu:
Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery. 989-997 - Mengxi Jia, Yifan Sun, Yunpeng Zhai, Xinhua Cheng, Yi Yang, Ying Li:
Semi-attention Partition for Occluded Person Re-identification. 998-1006 - Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui:
Fast Online Hashing with Multi-Label Projection. 1007-1014 - Xi Jia, Joseph Bartlett, Wei Chen, Siyang Song, Tianyang Zhang, Xinxing Cheng, Wenqi Lu, Zhaowen Qiu, Jinming Duan:
Fourier-Net: Fast Image Registration with Band-Limited Deformation. 1015-1023 - Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu:
Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint. 1024-1032 - Xuhao Jiang, Weimin Tan, Tian Tan, Bo Yan, Liquan Shen:
Multi-Modality Deep Network for Extreme Learned Image Compression. 1033-1041 - Yanqin Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, Yu-Gang Jiang:
PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer. 1042-1050 - Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu:
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. 1051-1059 - Shibo Jie, Zhi-Hong Deng:
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer. 1060-1068 - Yeying Jin, Ruoteng Li, Wenhan Yang, Robby T. Tan:
Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning. 1069-1077 - Kumara Kahatapitiya, Zhou Ren, Haoxiang Li, Zhenyu Wu, Michael S. Ryoo, Gang Hua:
Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection. 1078-1086 - Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas:
Correlation Loss: Enforcing Correlation between Classification and Localization. 1087-1095 - Minsoo Kang, Suhyun Kim:
GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps. 1096-1104 - Yangyuxuan Kang, Yuyang Liu, Anbang Yao, Shandong Wang, Enhua Wu:
3D Human Pose Lifting with Grid Convolution. 1105-1113 - Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In So Kweon, Dong-Geol Choi:
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation. 1114-1123 - Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim:
Frequency Selective Augmentation for Video Representation Learning. 1124-1132 - Minseok Kim, Changwoo Kang, Jeongin Park, Kyungdon Joo:
Pose-Guided 3D Human Generation in Indoor Scene. 1133-1141 - Sangtae Kim, Daeyoung Park, Byonghyo Shim:
Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation. 1142-1150 - Taeheon Kim, Youngjoon Yu, Yong Man Ro:
Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films. 1151-1159 - Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum:
CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer. 1160-1168 - Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson:
Simple and Effective Synthesis of Indoor 3D Scenes. 1169-1178 - Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, Jun Won Choi:
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection. 1179-1187 - Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. 1188-1195 - Hyeokjun Kweon, Hyeonseong Kim, Yoonsu Kang, Youngho Yoon, Wooseong Jeong, Kuk-Jin Yoon:
Pixel-Wise Warping for Deep Image Stitching. 1196-1204 - Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao:
Learning to Learn Better for Video Object Segmentation. 1205-1212 - Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu:
Curriculum Multi-Negative Augmentation for Debiased Video Grounding. 1213-1221 - Yuxiang Lan, Yachao Zhang, Yanyun Qu, Cong Wang, Chengyang Li, Jia Cai, Yuan Xie, Zongze Wu:
Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency. 1222-1230 - Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee:
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels. 1231-1239 - Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, Hongil Yoon:
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud. 1240-1249 - Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou:
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task. 1250-1259 - Yang Lei, Peizhi Zhao, Pijian Li, Yi Cai, Qingbao Huang:
Linking People across Text and Images Based on Social Relation Reasoning. 1260-1268 - Bingchuan Li, Tianxiang Ma, Peng Zhang, Miao Hua, Wei Liu, Qian He, Zili Yi:
ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing. 1269-1277 - Chunxiao Li, Xuejing Kang, Zhifeng Zhang, Anlong Ming:
SWBNet: A Stable White Balance Network for sRGB Images. 1278-1286 - Dongyang Li, Hao Luo, Pichao Wang, Zhibin Wang, Shang Liu, Fan Wang:
Frequency Domain Disentanglement for Arbitrary Neural Style Transfer. 1287-1295 - Han Li, Bowen Shi, Wenrui Dai, Hongwei Zheng, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong:
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation. 1296-1304 - Haolun Li, Chi-Man Pun:
CEE-Net: Complementary End-to-End Network for 3D Human Pose Generation and Estimation. 1305-1313 - Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu:
Real-World Deep Local Motion Deblurring. 1314-1322 - Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun:
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. 1323-1333 - Jianwei Li, Zitong Yu, Jingang Shi:
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos. 1334-1342 - Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia:
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. 1343-1350 - Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang, Di Huang:
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing. 1351-1359 - Meng Li, Yahan Yu, Yi Yang, Guanghao Ren, Jian Wang:
Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration. 1360-1367 - Miaoyu Li, Ying Fu, Yulun Zhang:
Spatial-Spectral Transformer for Hyperspectral Image Denoising. 1368-1376 - Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Hai-Tao Zheng, Kuncai Zhang:
Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval. 1377-1385 - Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens:
Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding. 1386-1395 - Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
NeAF: Learning Neural Angle Fields for Point Normal Estimation. 1396-1404 - Siyuan Li, Li Sun, Qingli Li:
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels. 1405-1413
AAAI Technical Track on Computer Vision II
- Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu:
DC-Former: Diverse and Compact Transformer for Person Re-identification. 1415-1423 - Xiang Li, Haoyuan Cao, Shijie Zhao, Junlin Li, Li Zhang, Bhiksha Raj:
Panoramic Video Salient Object Detection with Ambisonic Audio Guidance. 1424-1432 - Xiang Li, Junbo Yin, Botian Shi, Yikang Li, Ruigang Yang, Jianbing Shen:
LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving. 1433-1441 - Xinhui Li, Mingjia Li, Yaxing Wang, Chuan-Xian Ren, Xiaojie Guo:
Adaptive Texture Filtering for Single-Domain Generalized Segmentation. 1442-1450 - Xinjie Li, Huijuan Xu:
MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition. 1451-1459 - Xuyang Li, Xuemei Xie, Mingxuan Yu, Jiakai Luo, Chengwei Rao, Guangming Shi:
Gradient Corner Pooling for Keypoint-Based Object Detection. 1460-1467 - Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang:
Towards Real-Time Segmentation on the Edge. 1468-1476 - Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, Zeming Li:
BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection. 1477-1485 - Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, Zeming Li:
BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo. 1486-1494 - Yu Li, Dongwei Ren, Xinya Shu, Wangmeng Zuo:
Learning Single Image Defocus Deblurring with Misaligned Training Pairs. 1495-1503 - Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang:
Curriculum Temperature for Knowledge Distillation. 1504-1512 - Zhilin Li, Zilei Wang, Qinying Liu:
Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization. 1513-1521 - Zhuopeng Li, Lu Li, Jianke Zhu:
READ: Large-Scale Neural Scene Rendering for Autonomous Driving. 1522-1529 - Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu:
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. 1530-1538 - Han Liang, Yannan He, Chengfeng Zhao, Mutian Li, Jingya Wang, Jingyi Yu, Lan Xu:
HybridCap: Inertia-Aid Monocular Capture of Challenging Human Motions. 1539-1548 - Yun Liang, Qiaoqiao Li, Fumian Long:
Global Dilated Attention and Target Focusing Network for Robust Tracking. 1549-1557 - Liang Liao, Wenyi Chen, Zhen Zhang, Jing Xiao, Yan Yang, Chia-Wen Lin, Shin'ichi Satoh:
Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding. 1558-1567 - Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. 1568-1576 - Dekun Lin:
Probability Guided Loss for Long-Tailed Multi-Label Image Classification. 1577-1585 - Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley:
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. 1586-1594 - Lijian Lin, Xintao Wang, Zhongang Qi, Ying Shan:
Accelerating the Training of Video Super-resolution Models. 1595-1603 - Shiqi Lin, Zhizheng Zhang, Xin Li, Zhibo Chen:
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation. 1604-1612 - Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu:
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer. 1613-1621 - Yiqi Lin, Huabin Zheng, Huaping Zhong, Jinjing Zhu, Weijia Li, Conghui He, Lin Wang:
SEPT: Towards Scalable and Efficient Visual Pre-training. 1622-1630 - Yongguo Ling, Zhun Zhong, Zhiming Luo, Fengxiang Yang, Donglin Cao, Yaojin Lin, Shaozi Li, Nicu Sebe:
Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-identification. 1631-1639 - Daizong Liu, Xiang Fang, Pan Zhou, Xing Di, Weining Lu, Yu Cheng:
Hypotheses Tree Building for One-Shot Temporal Sentence Localization. 1640-1648 - Hao Liu, Xinghua Jiang, Xin Li, Antai Guo, Yiqing Hu, Deqiang Jiang, Bo Ren:
The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training. 1649-1656 - Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. 1657-1665 - Jie Liu, Chao Chen, Jie Tang, Gangshan Wu:
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution. 1666-1674 - Jinxian Liu, Ye Chen, Bingbing Ni, Wei Ren, Zhenbo Yu, Xiaoyang Huang:
Fast Fluid Simulation via Dynamic Multi-Scale Gridding. 1675-1682 - Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, Hesheng Wang:
TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry. 1683-1691 - Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian:
Low-Light Video Enhancement with Synthetic Event Guidance. 1692-1700 - Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu:
Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition. 1701-1709 - Renshuai Liu, Chengyang Li, Haitao Cao, Yinglin Zheng, Ming Zeng, Xuan Cheng:
EMEF: Ensemble Multi-Exposure Image Fusion. 1710-1718 - Shaolei Liu, Siqi Yin, Linhao Qu, Manning Wang:
Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation. 1719-1727 - Shilong Liu, Shijia Huang, Feng Li, Hao Zhang, Yaoyuan Liang, Hang Su, Jun Zhu, Lei Zhang:
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding. 1728-1736 - Ting Liu, Yunchao Wei, Yanning Zhang:
Progressive Neighborhood Aggregation for Semantic Segmentation Refinement. 1737-1745 - Weihuang Liu, Xiaodong Cun, Chi-Man Pun, Menghan Xia, Yong Zhang, Jue Wang:
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying. 1746-1754 - Xuyang Liu, Bingbing Wen, Sibei Yang:
CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation. 1755-1763 - Yanzhu Liu, Ying Sun, Joo-Hwee Lim:
Counterfactual Dynamics Forecasting - a New Setting of Quantitative Reasoning. 1764-1771 - Yuang Liu, Wei Zhang, Jun Wang:
Self-Decoupling and Ensemble Distillation for Efficient Segmentation. 1772-1780 - Yuqi Liu, Luhui Xu, Pengfei Xiong, Qin Jin:
Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language. 1781-1789 - Zhe Liu, Xiaoqing Ye, Xiao Tan, Errui Ding, Xiang Bai:
StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection. 1790-1798 - Zhengqi Liu, Jie Gui, Hao Luo:
Good Helper Is around You: Attention-Driven Masked Image Modeling. 1799-1807 - Yunfei Long, Abhinav Kumar, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty:
RADIANT: Radar-Image Association Network for 3D Object Detection. 1808-1816 - Yujing Lou, Zelin Ye, Yang You, Nianjuan Jiang, Jiangbo Lu, Weiming Wang, Lizhuang Ma, Cewu Lu:
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame. 1817-1825 - Haifeng Lu, Xiping Hu, Bin Hu:
See Your Emotion from Gait Using Unlabeled Skeleton Data. 1826-1834 - Hu Lu, Xuezhang Zou, Pingping Zhang:
Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification. 1835-1843 - Xiaonan Lu, Wenhui Diao, Yongqiang Mao, Junxi Li, Peijin Wang, Xian Sun, Kun Fu:
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection. 1844-1852 - Xiaoyong Lu, Yaping Yan, Bin Kang, Songlin Du:
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching. 1853-1860 - Jinxin Lv, Xiaoyu Zeng, Sheng Wang, Ran Duan, Zhiwei Wang, Qiang Li:
Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation. 1861-1869 - Jiefeng Ma, Jun Du, Pengfei Hu, Zhenrong Zhang, Jianshu Zhang, Huihui Zhu, Cong Liu:
HRDoc: Dataset and Baseline Method toward Hierarchical Reconstruction of Document Structures. 1870-1877 - Tianxiang Ma, Bingchuan Li, Qian He, Jing Dong, Tieniu Tan:
Semantic 3D-Aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field. 1878-1886 - Tianxiang Ma, Bingchuan Li, Wei Liu, Miao Hua, Jing Dong, Tieniu Tan:
CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation. 1887-1895 - Yifeng Ma, Suzhen Wang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Zhidong Deng, Xin Yu:
StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles. 1896-1904 - Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang:
Intriguing Findings of Frequency Selection for Image Deblurring. 1905-1913 - Puneet Mathur, Rajiv Jain, Jiuxiang Gu, Franck Dernoncourt, Dinesh Manocha, Vlad I. Morariu:
DocEdit: Language-Guided Document Editing. 1914-1922 - Jongbo Moon, Hyunjun Kim, Jae-Pil Heo:
Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation. 1923-1930 - WonJun Moon, Hyun Seok Seong, Jae-Pil Heo:
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition. 1931-1939 - Khanh Nguyen, Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas:
Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia. 1940-1948 - Chang Nie, Yiqing Hu, Yanqiu Qu, Hao Liu, Deqiang Jiang, Bo Ren:
TaCo: Textual Attribute Recognition via Contrastive Learning. 1949-1956 - Jiahao Nie, Zhiwei He, Yuxiang Yang, Mingyu Gao, Jing Zhang:
GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds. 1957-1965 - Yuxiang Nie, Chaowei Fang, Lechao Cheng, Liang Lin, Guanbin Li:
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. 1966-1974 - Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui:
MIMO Is All You Need：A Strong Multi-in-Multi-Out Baseline for Video Prediction. 1975-1983 - Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Universe Points Representation Learning for Partial Multi-Graph Matching. 1984-1992 - Geunwoo Oh, Jonghee Back, Jae-Pil Heo, Bochang Moon:
Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images. 1993-2001 - Yixuan Pan, Yao Yao, Yichao Cao, Chongjin Chen, Xiaobo Lu:
Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization. 2002-2010 - Zhiyu Pan, Yinpeng Chen, Jiale Zhang, Hao Lu, Zhiguo Cao, Weicai Zhong:
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression. 2011-2019 - Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng:
Domain Decorrelation with Potential Energy Ranking. 2020-2028 - Cheng Peng, Rama Chellappa:
PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images. 2029-2037 - Min Peng, Chongyang Wang, Yu Shi, Xiang-Dong Zhou:
Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer. 2038-2046 - Xidong Peng, Xinge Zhu, Yuexin Ma:
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection. 2047-2055 - Yansong Peng, Yueyi Zhang, Peilin Xiao, Xiaoyan Sun, Feng Wu:
Better and Faster: Adaptive Event Conversion for Event-Based Object Detection. 2056-2064 - Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz:
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness. 2065-2073 - Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li:
Exploring Stochastic Autoregressive Image Modeling for Visual Representation. 2074-2081 - Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong:
Context-Aware Transformer for 3D Point Cloud Automatic Annotation. 2082-2090 - Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang:
Data-Efficient Image Quality Assessment with Attention-Panel Decoder. 2091-2100 - Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. 2101-2109 - Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen:
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. 2110-2118 - Yadong Qu, Qingfeng Tan, Hongtao Xie, Jianjun Xu, YuXin Wang, Yongdong Zhang:
Exploring Stroke-Level Modifications for Scene Text Editing. 2119-2127 - Yuhui Quan, Zhile Chen, Tongyao Pang, Hui Ji:
Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation. 2128-2136 - Sameera Ramasinghe, Simon Lucey:
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. 2137-2145 - Haziq Razali, Yiannis Demiris:
Action-Conditioned Generation of Bimanual Object Manipulation Sequences. 2146-2154 - Tal Reiss, Yedid Hoshen:
Mean-Shifted Contrastive Loss for Anomaly Detection. 2155-2162 - Pengfei Ren, Yuchen Chen, Jiachang Hao, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao:
Two Heads Are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation. 2163-2171 - Mozhdeh Rouhsedaghat, Masoud Monajatipoor, C.-C. Jay Kuo, Iacopo Masi:
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier. 2172-2179 - Karthik Seemakurthy, Charles Fox, Erchan Aptoula, Petra Bosilj:
Domain Generalised Faster R-CNN. 2180-2190 - Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim:
MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation. 2191-2199 - Jiaxiang Shang, Yu Zeng, Xin Qiao, Xin Wang, Runze Zhang, Guangyuan Sun, Vishal Patel, Hongbo Fu:
JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment. 2200-2208 - Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang:
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image. 2209-2217 - Ankit Kumar Sharma, Hassan Foroosh:
Channel Regeneration: Improving Channel Utilization for Compact DNNs. 2218-2226 - Hao Shen, Zhong-Qiu Zhao, Wandi Zhang:
Adaptive Dynamic Filtering Network for Image Denoising. 2227-2235 - Xiangjun Shen, Stanley Ebhohimhen Abhadiomhen, Yang Yang, Zhifeng Liu, Sirui Tian:
Edge Structure Learning via Low Rank Residuals for Robust Image Classification. 2236-2244 - Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang:
Memory-Oriented Structural Pruning for Efficient Image Restoration. 2245-2253 - Yuheng Shi, Naiyan Wang, Xiaojie Guo:
YOLOV: Making Still Image Object Detectors Great at Video Object Detection. 2254-2262 - Jae-hun Shim, Hyunwoo Yu, Kyeongbo Kong, Suk-Ju Kang:
FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation. 2263-2271 - Jisu Shin, SeungHyun Shin, Hae-Gon Jeon:
Task-Specific Scene Structure Representations. 2272-2281 - Jungwook Shin, Jaeill Kim, Kyungeun Lee, Hyunghun Cho, Wonjong Rhee:
Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. 2282-2291 - Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min, Euntai Kim:
SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation. 2292-2302 - Xingke Song, Jiahuan Jin, Chenglin Yao, Shihe Wang, Jianfeng Ren, Ruibin Bai:
Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps. 2303-2311 - Yiren Song, Xuning Shao, Kang Chen, Weidong Zhang, Zhongliang Jing, Minzhe Li:
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics. 2312-2320 - Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang:
Compact Transformer Tracker with Correlative Masked Modeling. 2321-2329 - Mohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluís Gómez, Dimosthenis Karatzas:
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement. 2330-2338 - Shihao Su, Jianyun Xu, Huanyu Wang, Zhenwei Miao, Xin Zhan, Dayang Hao, Xi Li:
PUPS: Point Cloud Unified Panoptic Segmentation. 2339-2347 - Wanjuan Su, Wenbing Tao:
Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. 2348-2356 - Wei Su, Peihan Miao, Huanzhang Dou, Yongjian Fu, Xi Li:
Referring Expression Comprehension Using Language Adaptive Inference. 2357-2365 - Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun:
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. 2366-2374 - Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu:
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution. 2375-2383 - Che Sun, Chenrui Shi, Yunde Jia, Yuwei Wu:
Learning Event-Relevant Factors for Video Anomaly Detection. 2384-2392 - Jiahao Sun, Chunmei Qing, Junpeng Tan, Xiangmin Xu:
Superpoint Transformer for 3D Scene Instance Segmentation. 2393-2401 - Linhui Sun, Yifan Zhang, Jian Cheng, Hanqing Lu:
Asynchronous Event Processing with Local-Shift Graph Convolutional Network. 2402-2410 - Ruizhou Sun, Yukun Su, Qingyao Wu:
DENet: Disentangled Embedding Network for Visible Watermark Removal. 2411-2419 - Keke Tang, Jianpeng Wu, Weilong Peng, Yawen Shi, Peng Song, Zhaoquan Gu, Zhihong Tian, Wenping Wang:
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching. 2420-2428 - Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung:
Fair Generative Models via Transfer Learning. 2429-2437 - Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia:
Learning Context-Aware Classifier for Semantic Segmentation. 2438-2446 - Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM: Robust and Interpretable Topic-Assisted Feature Matching. 2447-2455 - Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao:
Learning Fractals by Gradient Descent. 2456-2464 - Deepali Verma, Arya Haldar, Tanima Dutta:
Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network. 2465-2473 - Bingrui Wang, Yuan Zhou:
Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval. 2474-2482 - Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu:
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning. 2483-2491 - Dongsheng Wang, Xu Jia, Yang Zhang, Xinyu Zhang, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu:
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation. 2492-2500 - Guangzhi Wang, Hehe Fan, Mohan S. Kankanhalli:
Text to Point Cloud Localization with Relation-Enhanced Transformer. 2501-2509 - Hao Wang, Min Li, Yangyang Song, Youjian Zhang, Liying Chi:
UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast. 2510-2518 - Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Calibrated Teacher for Sparsely Annotated Object Detection. 2519-2527 - Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun:
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network. 2528-2536 - He Wang, Lin Wan, He Tang:
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise. 2537-2545 - He Wang, Yunfeng Diao, Zichang Tan, Guodong Guo:
Defending Black-Box Skeleton-Based Human Activity Classifiers. 2546-2554 - Jianyi Wang, Kelvin C. K. Chan, Chen Change Loy:
Exploring CLIP for Assessing the Look and Feel of Images. 2555-2563 - Kaisiyuan Wang, Changcheng Liang, Hang Zhou, Jiaxiang Tang, Qianyi Wu, Dongliang He, Zhibin Hong, Jingtuo Liu, Errui Ding, Ziwei Liu, Jingdong Wang:
Robust Video Portrait Reenactment via Personalized Representation Quantization. 2564-2572 - Kuo Wang, Jingyu Zhuang, Guanbin Li, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou:
De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection. 2573-2580 - Lei Wang, Zejian Yuan, Badong Chen:
Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features. 2581-2589 - Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu:
Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models. 2590-2598 - Likang Wang, Yue Gong, Qirui Wang, Kaixuan Zhou, Lei Chen:
Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction. 2599-2607 - Ning Wang, Jiangrong Xie, Hang Luo, Qinglin Cheng, Jihao Wu, Mingbo Jia, Linlin Li:
Efficient Image Captioning for Edge Devices. 2608-2616 - Ning Wang, Jiahao Xie, Jihao Wu, Mingbo Jia, Linlin Li:
Controllable Image Captioning via Prompting. 2617-2625 - Ruibin Wang, Xianghua Ying, Bowei Xing, Jinfa Yang:
ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud. 2626-2634 - Ruikui Wang, Yuanfang Guo, Yunhong Wang:
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos. 2635-2643 - Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, Qi Tian:
Fine-Grained Retrieval Prompt Tuning. 2644-2652
AAAI Technical Track on Computer Vision III
- Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Björn Stenger, Tong Lu:
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method. 2654-2662 - Weihao Wang, Rufeng Zhang, Mingyu You, Hongjun Zhou, Bin He:
3D Assembly Completion. 2663-2671 - Wenhao Wang, Yifan Sun, Yi Yang:
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection. 2672-2679 - Wufan Wang, Lei Zhang, Hua Huang:
Revisiting Unsupervised Local Descriptor Learning. 2680-2688 - Xiaofeng Wang, Zheng Zhu, Guan Huang, Xu Chi, Yun Ye, Ziwei Chen, Xingang Wang:
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning. 2689-2697 - Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Zhengyan Tong, Hang Wang:
Learning Continuous Depth Representation via Geometric Spatial Aggregator. 2698-2706 - Yan Wang, Junbo Yin, Wei Li, Pascal Frossard, Ruigang Yang, Jianbing Shen:
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud. 2707-2715 - Yanbo Wang, Chuming Lin, Donghao Luo, Ying Tai, Zhizhong Zhang, Yuan Xie:
High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets. 2716-2723 - Yinhuai Wang, Yujie Hu, Jiwen Yu, Jian Zhang:
GAN Prior Based Null-Space Learning for Consistent Super-resolution. 2724-2732 - Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
Contrastive Masked Autoencoders for Self-Supervised Video Hashing. 2733-2741 - Zhizhong Wang, Lei Zhao, Zhiwen Zuo, Ailin Li, Haibo Chen, Wei Xing, Dongming Lu:
MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer. 2742-2750 - Zixiao Wang, Junwu Weng, Chun Yuan, Jue Wang:
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos. 2751-2758 - Guoqiang Wei, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen:
Active Token Mixer. 2759-2767 - Juanjuan Weng, Zhiming Luo, Zhun Zhong, Dazhen Lin, Shaozi Li:
Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks. 2768-2775 - Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim:
Towards Good Practices for Missing Modality Robust Action Recognition. 2776-2784 - Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng:
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis. 2785-2794 - Hai Wu, Chenglu Wen, Wei Li, Xin Li, Ruigang Yang, Cheng Wang:
Transformation-Equivariant 3D Object Detection for Autonomous Driving. 2795-2802 - Huisi Wu, Jingyin Lin, Wende Xie, Jing Qin:
Super-efficient Echocardiography Video Segmentation via Proxy- and Kernel-Based Semi-supervised Learning. 2803-2811 - Huisi Wu, Wende Xie, Jingyin Lin, Xinrong Guo:
ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning. 2812-2820 - Jijie Wu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jie Cao, Jun Guo, Yi-Zhe Song:
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification. 2821-2829 - Jingyu Wu, Lefan Hou, Zejian Li, Jun Liao, Li Liu, Lingyun Sun:
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer. 2830-2838 - Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun:
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. 2839-2846 - Wenhao Wu, Zhun Sun, Wanli Ouyang:
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition. 2847-2855 - Yang Wu, Pengxu Wei, Liang Lin:
Scene Graph to Image Synthesis via Knowledge Consensus. 2856-2865 - Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning. 2866-2874 - Yuxuan Wu, Le Wang, Sanping Zhou, Jinghai Duan, Gang Hua, Wei Tang:
Multi-Stream Representation Learning for Pedestrian Trajectory Prediction. 2875-2882 - Zhenyu Wu, Lin Wang, Wei Wang, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li:
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection. 2883-2891 - Zizhang Wu, Yunzhe Wu, Jian Pu, Xianzhi Li, Xiaoquan Wang:
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection. 2892-2900 - Jingfei Xia, Mingchen Zhuge, Tiantian Geng, Shun Fan, Yuantai Wei, Zhenyu He, Feng Zheng:
Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs. 2901-2909 - Lujie Xia, Jing Zhao, Ruiqin Xiong, Tiejun Huang:
SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion. 2910-2918 - Mengfei Xia, Yezhi Shu, Yuji Wang, Yu-Kun Lai, Qiang Li, Pengfei Wan, Zhongyuan Wang, Yong-Jin Liu:
FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces. 2919-2927 - Kun Xiang, Xing Zhang, Jinwen She, Jinpeng Liu, Haohan Wang, Shiqi Deng, Shancheng Jiang:
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. 2928-2937 - Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu:
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. 2938-2946 - Jingfen Xie, Jian Zhang:
Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks. 2947-2955 - Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan:
Mitigating Artifacts in Real-World Video Super-resolution Models. 2956-2964 - Wuyuan Xie, Shukang Wang, Sukun Tian, Lirong Huang, Ye Liu, Miaohui Wang:
Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach. 2965-2973 - Bowei Xing, Xianghua Ying, Ruibin Wang, Jinfa Yang, Taiyan Chen:
Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation. 2974-2982 - Daitao Xing, Jinglin Shen, Chiuman Ho, Anthony Tzes:
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation. 2983-2991 - Hangdi Xing, Feiyu Gao, Rujiao Long, Jiajun Bu, Qi Zheng, Liangcheng Li, Cong Yao, Zhi Yu:
LORE: Logical Location Regression Network for Table Structure Recognition. 2992-3000 - Jiazheng Xing, Mengmeng Wang, Yong Liu, Boyu Mu:
Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition. 3001-3009 - Han Xu, Liang Haochen, Jiayi Ma:
Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning. 3010-3017 - Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen:
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. 3018-3026 - Mingjie Xu, Haofei Wang, Feng Lu:
Learning a Generalized Gaze Estimator from Gaze-Consistent Feature. 3027-3035 - Pengcheng Xu, Boyu Wang, Charles Ling:
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation. 3036-3044 - Rongtao Xu, Changwei Wang, Jiaxi Sun, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang:
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation. 3045-3053 - Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, Jiaya Jia:
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution. 3054-3062 - Xixia Xu, Yingguo Gao, Xingjia Pan, Ke Yan, Xiaoyu Chen, Qi Zou:
Inter-image Contrastive Consistency for Multi-Person Pose Estimation. 3063-3071 - Yangyang Xu, Yibo Yang, Lefei Zhang:
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction. 3072-3080 - Kashu Yamazaki, Khoa Vo, Quang Sang Truong, Bhiksha Raj, Ngan Le:
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning. 3081-3090 - Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng:
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. 3091-3099 - Rui Yan, Mike Zheng Shou, Yixiao Ge, Jinpeng Wang, Xudong Lin, Guanyu Cai, Jinhui Tang:
Video-Text Pre-training with Learned Regions for Retrieval. 3100-3108 - Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang:
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion. 3109-3117 - Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
Self-Supervised Video Representation Learning via Latent Time Navigation. 3118-3126 - Dongbao Yang, Yu Zhou, Xiaopeng Hong, Aoting Zhang, Weiping Wang:
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object. 3127-3135 - Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Heng Ji, Shih-Fu Chang:
Video Event Extraction via Tracking Visual States of Arguments. 3136-3144 - Jiange Yang, Sheng Guo, Gangshan Wu, Limin Wang:
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. 3145-3154 - Jinhai Yang, Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang:
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling. 3155-3163 - Lu Yang, Peng Wang, Yanning Zhang:
Stop-Gradient Softmax Loss for Deep Metric Learning. 3164-3172 - Peiyu Yang, Naveed Akhtar, Zeyi Wen, Ajmal Mian:
Local Path Integration for Attribution. 3173-3180 - Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao:
Spatiotemporal Deformation Perception for Fisheye Video Rectification. 3181-3189 - Siwei Yang, Hanrong Ye, Dan Xu:
Contrastive Multi-Task Dense Prediction. 3190-3197 - Xi Yang, Jie Zhang, Han Fang, Chang Liu, Zehua Ma, Weiming Zhang, Nenghai Yu:
AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents. 3198-3205 - Yang Yang, Yurui Huang, Weili Guo, Baohua Xu, Dingyin Xia:
Towards Global Video Scene Segmentation with Context-Aware Transformer. 3206-3213 - Yong Yang, Wenzhi Xu, Shuying Huang, Weiguo Wan:
Low-Light Image Enhancement Network Based on Multi-Scale Feature Complementation. 3214-3221 - Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr:
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation. 3222-3230 - Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh:
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception. 3231-3240 - Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao:
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. 3241-3249 - Xinyi Ye, Weiyue Zhao, Hao Lu, Zhiguo Cao:
Learning Second-Order Attentive Context for Efficient Correspondence Pruning. 3250-3258 - Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu:
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting. 3259-3266 - Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo:
Can We Find Strong Lottery Tickets in Generative Models? 3267-3275 - Rumeng Yi, Dayan Guan, Yaping Huang, Shijian Lu:
Class-Independent Regularization for Learning with Noisy Labels. 3276-3284 - Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park:
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. 3285-3294 - Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang:
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation. 3295-3303 - En Yu, Songtao Liu, Zhuoling Li, Jinrong Yang, Zeming Li, Shoudong Han, Wenbing Tao:
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation. 3304-3312 - Jianhui Yu, Chaoyi Zhang, Weidong Cai:
Rethinking Rotation Invariance with Point Cloud Registration. 3313-3321 - Qing Yu, Kent Fujiwara:
Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition. 3322-3330 - Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Recurrent Structure Attention Guidance for Depth Super-resolution. 3331-3339 - Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang:
Structure Flow-Guided Network for Real Depth Super-resolution. 3340-3348 - Xiaojian Yuan, Kejiang Chen, Jie Zhang, Weiming Zhang, Nenghai Yu, Yang Zhang:
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. 3349-3357 - Haixiao Yue, Keyao Wang, Guosheng Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang:
Cyclically Disentangled Feature Translation for Face Anti-spoofing. 3358-3366 - Hao Zeng, Wei Zhang, Changjie Fan, Tangjie Lv, Suzhen Wang, Zhimeng Zhang, Bowen Ma, Lincheng Li, Yu Ding, Xin Yu:
FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping. 3367-3375 - Yawen Zeng, Qin Jin, Tengfei Bao, Wenfeng Li:
Multi-Modal Knowledge Hypergraph for Diverse Image Retrieval. 3376-3383 - Jucai Zhai, Pengcheng Zeng, Chihao Ma, Jie Chen, Yong Zhao:
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild. 3384-3392 - Binjie Zhang, Shupeng Su, Yixiao Ge, Xuyuan Xu, Yexin Wang, Chun Yuan, Mike Zheng Shou, Ying Shan:
Darwinian Model Upgrades: Model Evolving with Selective Compatibility. 3393-3400 - Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li:
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation. 3401-3409 - Canyu Zhang, Zhenyao Wu, Xinyi Wu, Ziyu Zhao, Song Wang:
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network. 3410-3417 - Dingxin Zhang, Jianhui Yu, Chaoyi Zhang, Weidong Cai:
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration. 3418-3426 - Jiahang Zhang, Lilang Lin, Jiaying Liu:
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations. 3427-3435 - Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu:
ImageNet Pre-training Also Transfers Non-robustness. 3436-3444 - Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi:
Language-Assisted 3D Feature Learning for Semantic Scene Understanding. 3445-3453 - Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang:
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation. 3454-3462 - Lei Zhang, Yuxuan Sun, Wei Wei:
Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection. 3463-3471 - Shihua Zhang, Jiayi Ma:
ConvMatch: Rethinking Network Design for Two-View Correspondence Learning. 3472-3479 - Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah:
Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence. 3480-3488 - Xinjian Zhang, Su Yang, Wuyang Luo, Longwen Gao, Weishan Zhang:
Video Compression Artifact Reduction by Fusing Motion Compensation and Global Context in a Swin-CNN Based Parallel Architecture. 3489-3497 - Yukang Zhang, Yan Yan, Jie Li, Hanzi Wang:
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification. 3498-3506 - Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jiwen Lu, Jie Zhou:
A Simple Baseline for Multi-Camera 3D Object Detection. 3507-3515 - Zhemin Zhang, Xun Gong:
Positional Label for Self-Supervised Vision Transformer. 3516-3524 - Zhenduo Zhang:
Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment. 3525-3533 - Zhengming Zhang, Renran Tian, Zhengming Ding:
TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty. 3534-3542 - Zhimeng Zhang, Zhipeng Hu, Wenjin Deng, Changjie Fan, Tangjie Lv, Yu Ding:
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video. 3543-3551 - Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian:
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories. 3552-3560 - Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shutao Xia:
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment. 3561-3569 - Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang:
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. 3570-3578 - Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang:
Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera. 3579-3587 - Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng:
TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields. 3588-3596 - Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li:
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization. 3597-3605 - Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu:
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis. 3606-3614 - Weisong Zhao, Xiangyu Zhu, Kaiwen Guo, Xiaoyu Zhang, Zhen Lei:
Grouped Knowledge Distillation for Deep Face Recognition. 3615-3623 - Wenda Zhao, Ruikai Yang, Yu Liu, You He:
Style-Content Metric Learning for Multidomain Remote Sensing Object Recognition. 3624-3632 - Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing:
Occupancy Planes for Single-View RGB-D Human Reconstruction. 3633-3641 - Yaping Zhao, Siming Zheng, Xin Yuan:
Deep Equilibrium Models for Snapshot Compressive Imaging. 3642-3650 - Huan Zheng, Tongyao Pang, Hui Ji:
Unsupervised Deep Video Denoising with Untrained Network. 3651-3659 - Jiawen Zheng, Bo Li, Shengchuan Zhang, Shuang Wu, Liujuan Cao, Shouhong Ding:
Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations. 3660-3668 - Minghang Zheng, Sizhe Li, Qingchao Chen, Yuxin Peng, Yang Liu:
Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization. 3669-3677 - Naishan Zheng, Jie Huang, Man Zhou, Zizheng Yang, Qi Zhu, Feng Zhao:
Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement. 3678-3686 - Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong:
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection. 3687-3695 - Shida Zheng, Chenshu Chen, Xi Yang, Wenming Tan:
MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation. 3696-3704 - Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang:
RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking. 3705-3714 - Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin:
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. 3715-3723 - Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye:
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning. 3724-3732 - Zhipeng Zhong, Fei Zhou, Guoping Qiu:
Aesthetically Relevant Image Captioning. 3733-3741 - Chu Zhou, Minggui Teng, Youwei Lyu, Si Li, Chao Xu, Boxin Shi:
Polarization-Aware Low-Light Image Enhancement. 3742-3750 - Chuanwei Zhou, Chunyan Xu, Zhen Cui:
Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation. 3751-3759 - Chuanwei Zhou, Zhen Cui, Chunyan Xu, Cao Han, Jian Yang:
Exploratory Inference Learning for Scribble Supervised Semantic Segmentation. 3760-3768 - Hang Zhou, Junqing Yu, Wei Yang:
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection. 3769-3777 - Hanyu Zhou, Yi Chang, Gang Chen, Luxin Yan:
Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow. 3778-3786 - Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Zhenda Xu, Jingren Zhou:
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices. 3787-3795 - Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu, Shiming Xiang:
Robust Feature Rectification of Pretrained Vision Models for Object Recognition. 3796-3804 - Siyuan Zhou, Chunru Zhan, Biao Wang, Tiezheng Ge, Yuning Jiang, Li Niu:
Video Object of Interest Segmentation. 3805-3813 - Xinzhe Zhou, Yadong Mu:
Tree-Structured Trajectory Encoding for Vision-and-Language Navigation. 3814-3824 - Yujie Zhou, Haodong Duan, Anyi Rao, Bing Su, Jiaqi Wang:
Self-Supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences. 3825-3833 - Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization. 3834-3842 - Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue:
Improving Scene Text Image Super-resolution via Dual Prior Modulation Network. 3843-3851 - Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu:
SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation. 3852-3860 - Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer:
Gradient-Based Graph Attention for Scene Text Image Super-resolution. 3861-3869 - Xuefeng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler:
RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking. 3870-3878 - Yaohui Zhu, Linhu Liu, Jiang Tian:
Learn More for Food Recognition via Progressive Self-Distillation. 3879-3887 - Zhiwen Zuo, Lei Zhao, Ailin Li, Zhizhong Wang, Zhanjie Zhang, Jiafu Chen, Wei Xing, Dongming Lu:
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning. 3888-3896
AAAI Technical Track on Constraint Satisfaction and Optimization
- Kirill Brilliantov, Vasily Alferov, Ivan Bliznets:
Improved Algorithms for Maximum Satisfiability and Its Special Cases. 3898-3905 - Che Cheng, Jie-Hong R. Jiang:
Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT. 3906-3914 - Yi Chu, Shaowei Cai, Chuan Luo:
NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques. 3915-3923 - Erel Cohen, Omer Lev, Roie Zivan:
Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs. 3924-3931 - Nadia Creignou, Frédéric Olive, Johannes Schmidt:
Complexity of Reasoning with Cardinality Minimality Conditions. 3932-3940 - Tonmoy Dey, Yixin Chen, Alan Kuhnle:
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization. 3941-3948 - Yu-Wei Fan, Jie-Hong R. Jiang:
SharpSSAT: A Witness-Generating Stochastic Boolean Satisfiability Solver. 3949-3958 - Yu-Ran Gu, Chao Bian, Chao Qian:
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. 3959-3967 - Tesshu Hanaka, Masashi Kiyomi, Yasuaki Kobayashi, Yusuke Kobayashi, Kazuhiro Kurita, Yota Otachi:
A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems. 3968-3976 - Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami:
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing. 3977-3986 - Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee:
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. 3987-3995 - Xuanxiang Huang, Yacine Izza, João Marques-Silva:
Solving Explainability Queries with Quantification: The Case of Feature Relevancy. 3996-4006 - Jie-Hong R. Jiang:
Second-Order Quantified Boolean Logic. 4007-4015 - Nan Jiang, Yi Gu, Yexiang Xue:
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. 4016-4024 - Yong Lai, Kuldeep S. Meel, Roland H. C. Yap:
Fast Converging Anytime Model Counting. 4025-4034 - Hongbo Li, Jimmy H. M. Lee:
Finding Good Partial Assignments during Restart-Based Branch and Bound Search. 4035-4043 - Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He:
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem. 4044-4051 - Seonho Park, Pascal Van Hentenryck:
Self-Supervised Primal-Dual Learning for Constrained Optimization. 4052-4060 - Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett:
Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories. 4061-4069 - Aduri Pavan, Kuldeep S. Meel, N. V. Vinodchandran, Arnab Bhattacharyya:
Constraint Optimization over Semirings. 4070-4077 - Guillaume Perez, Steve Malalel, Gael Glorian, Victor Jung, Alexandre Papadopoulos, Marie Pelleau, Wijnand Suijlen, Jean-Charles Régin, Arnaud Lallouet:
Generalized Confidence Constraints. 4078-4086 - Franz-Xaver Reichl, Friedrich Slivovsky, Stefan Szeider:
Circuit Minimization with QBF-Based Exact Synthesis. 4087-4094 - Alexander A. Semenov, Daniil Chivilikhin, Stepan Kochemazov, Ibragim Dzhiblavi:
Probabilistic Generalization of Backdoor Trees with Application to SAT. 4095-4103 - Ruiwei Wang, Roland H. C. Yap:
The Expressive Power of Ad-Hoc Constraints for Modelling CSPs. 4104-4114 - Yudong Xu, Elias B. Khalil, Scott Sanner:
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus. 4115-4122 - Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Nina Narodytska, João Marques-Silva:
Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations. 4123-4131 - Jiongzhi Zheng, Kun He, Jianrong Zhou:
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers. 4132-4139
AAAI Technical Track on Data Mining and Knowledge Management
- Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim:
LANCER: A Lifetime-Aware News Recommender System. 4141-4148 - Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng:
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. 4149-4156 - Huajie Chen, Jiyuan He, Weisheng Xu, Tao Feng, Ming Liu, Tianyu Song, Runfeng Yao, Yuanyuan Qiao:
Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items. 4157-4165 - Jianhao Chen, Junyang Ren, Wentao Ding, Yuzhong Qu:
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs. 4166-4172 - Lihan Chen, Tinghui Zhu, Jingping Liu, Jiaqing Liang, Yanghua Xiao:
End-to-End Entity Linking with Hierarchical Reinforcement Learning. 4173-4181 - Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen:
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding. 4182-4190 - Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo:
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. 4191-4198 - Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu:
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. 4199-4207 - Chanyoung Chung, Joyce Jiyoung Whang:
Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction. 4208-4216 - Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs. 4217-4224 - Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu:
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. 4225-4232 - Sanjeeb Dash, Joao Goncalves:
Rule Induction in Knowledge Graphs Using Linear Programming. 4233-4241 - Pan Deng, Yu Zhao, Junting Liu, Xiaofeng Jia, Mulan Wang:
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction. 4242-4249 - Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li:
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. 4250-4258 - Wenzhou Dou, Derong Shen, Xiangmin Zhou, Tiezheng Nie, Yue Kou, Hang Cui, Ge Yu:
Soft Target-Enhanced Matching Framework for Deep Entity Matching. 4259-4266 - Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang:
DropMessage: Unifying Random Dropping for Graph Neural Networks. 4267-4275 - Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan:
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning. 4276-4283 - Xumeng Gong, Cheng Yang, Chuan Shi:
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. 4284-4292 - Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu:
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling. 4293-4301 - Han Huang, Leilei Sun, Bowen Du, Weifeng Lv:
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation. 4302-4311 - Qiang Huang, Yanhao Wang, Anthony K. H. Tung:
SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search. 4312-4321 - Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. 4322-4329 - Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku:
Constrained Market Share Maximization by Signal-Guided Optimization. 4330-4338 - Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu:
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. 4339-4346 - Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju:
Detecting Sources of Healthcare Associated Infections. 4347-4355 - Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. 4356-4364 - Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang:
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. 4365-4373 - Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang:
Continuous Trajectory Generation Based on Two-Stage GAN. 4374-4382 - Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye:
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. 4383-4390 - Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang:
GLCC: A General Framework for Graph-Level Clustering. 4391-4399 - Leon Kellerhals, Tomohiro Koana, Pascal Kunz, Rolf Niedermeier:
Parameterized Algorithms for Colored Clustering. 4400-4408 - Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu:
Towards Reliable Item Sampling for Recommendation Evaluation. 4409-4416 - Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu:
Multiple Robust Learning for Recommendation. 4417-4425 - Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong:
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors. 4426-4434 - Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li:
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. 4435-4443 - Yu Li, Meng Qu, Jian Tang, Yi Chang:
Signed Laplacian Graph Neural Networks. 4444-4452 - Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen:
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. 4453-4461 - Dongding Lin, Jian Wang, Wenjie Li:
COLA: Improving Conversational Recommender Systems by Collaborative Augmentation. 4462-4470 - Longlong Lin, Ronghua Li, Tao Jia:
Scalable and Effective Conductance-Based Graph Clustering. 4471-4478 - Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu:
Multi-Domain Generalized Graph Meta Learning. 4479-4487 - Jiajun Liu, Peng Wang, Ziyu Shang, Chenxiao Wu:
IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings. 4488-4496 - Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu:
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. 4497-4506 - Yinan Liu, Hu Chen, Wei Shen, Jiaoyan Chen:
Low-Resource Personal Attribute Prediction from Conversations. 4507-4515 - Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. 4516-4524 - Zemin Liu, Trung-Kien Nguyen, Yuan Fang:
On Generalized Degree Fairness in Graph Neural Networks. 4525-4533 - Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Time Series Contrastive Learning with Information-Aware Augmentations. 4534-4542 - Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan:
NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs. 4543-4551 - Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. 4552-4560 - Xiaowei Mao, Huaiyu Wan, Haomin Wen, Fan Wu, Jianbin Zheng, Yuting Qiang, Shengnan Guo, Lixia Wu, Haoyuan Hu, Youfang Lin:
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. 4561-4568 - Guanglin Niu, Bo Li:
Logic and Commonsense-Guided Temporal Knowledge Graph Completion. 4569-4577 - Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong:
Graph Structure Learning on User Mobility Data for Social Relationship Inference. 4578-4586 - Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
Online Random Feature Forests for Learning in Varying Feature Spaces. 4587-4595 - Kyuyong Shin, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong, Jung-Woo Ha, Kyung-Min Kim:
Scaling Law for Recommendation Models: Towards General-Purpose User Representations. 4596-4604 - Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu:
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. 4605-4613 - Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang:
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation. 4614-4622 - Haoxin Sun, Zhongzhi Zhang:
Opinion Optimization in Directed Social Networks. 4623-4632 - Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu:
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. 4633-4642 - Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. 4643-4651 - Dingmin Wang, Yeyuan Chen, Bernardo Cuenca Grau:
Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs. 4652-4659 - Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu:
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. 4660-4667 - Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang:
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. 4668-4675 - Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. 4676-4684 - Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang:
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction. 4685-4692 - Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen:
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework. 4693-4701 - Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang:
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection. 4702-4710 - Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. 4711-4719 - Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He:
Online Semi-supervised Learning with Mix-Typed Streaming Features. 4720-4728 - Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao:
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. 4729-4737 - Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu:
ConTextual Masked Auto-Encoder for Dense Passage Retrieval. 4738-4746 - Yangyang Wu, Xiaoye Miao, Xinyu Huang, Jianwei Yin:
Jointly Imputing Multi-View Data with Optimal Transport. 4747-4755 - Changyi Xiao, Xiangnan He, Yixin Cao:
Knowledge Graph Embedding by Normalizing Flows. 4756-4764 - Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu:
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning. 4765-4773 - Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai:
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data. 4774-4782 - Feng Yao, Jingyuan Zhang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Yun Liu, Weixing Shen:
Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive. 4783-4791 - Xincheng Yao, Chongyang Zhang, Ruoqi Li, Jun Sun, Zhenyu Liu:
One-for-All: Proposal Masked Cross-Class Anomaly Detection. 4792-4800 - Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen:
Analogical Inference Enhanced Knowledge Graph Embedding. 4801-4808 - Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang:
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. 4809-4817 - Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang, Shangquan Wu, Zhao Cao:
Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search. 4818-4826 - Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han:
Next POI Recommendation with Dynamic Graph and Explicit Dependency. 4827-4834 - Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv:
Predicting Temporal Sets with Simplified Fully Connected Networks. 4835-4844 - Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang:
Learning to Count Isomorphisms with Graph Neural Networks. 4845-4853 - Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang:
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. 4854-4863 - Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li:
Practical Cross-System Shilling Attacks with Limited Access to Data. 4864-4874 - Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. 4875-4883 - Linhao Zhang, Li Jin, Xian Sun, Guangluan Xu, Zequn Zhang, Xiaoyu Li, Nayu Liu, Qing Liu, Shiyao Yan:
TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection. 4884-4892 - Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang:
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. 4893-4901 - Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang:
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. 4902-4910 - Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang:
Fair Representation Learning for Recommendation: A Mutual Information Perspective. 4911-4919 - Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long, Tong Zhang:
Deep Graph Structural Infomax. 4920-4928 - Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Mulan Wang:
Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction. 4929-4936 - Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah:
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels. 4937-4945 - Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
A Provable Framework of Learning Graph Embeddings via Summarization. 4946-4953 - Mengting Zhou, Zhiguo Gong:
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification. 4954-4962 - Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng:
Detecting Multivariate Time Series Anomalies with Zero Known Label. 4963-4971 - Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han:
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM. 4972-4980 - Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han:
Heterogeneous Region Embedding with Prompt Learning. 4981-4989
AAAI Technical Track on Domain(s) of Application
- David S. Aleixo, Levi H. S. Lelis:
Show Me the Way! Bilevel Search for Synthesizing Programmatic Strategies. 4991-4998 - Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos:
Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods. 4999-5009 - Soodeh Atefi, Sakshyam Panda, Emmanouil Panaousis, Aron Laszka:
Principled Data-Driven Decision Support for Cyber-Forensic Investigations. 5010-5017 - Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu:
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. 5018-5026 - Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu:
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. 5027-5035 - Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong, Xiangtao Li:
Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. 5036-5044 - Zheng Dai, David K. Gifford:
Constrained Submodular Optimization for Vaccine Design. 5045-5053 - Han Fang, Yupeng Qiu, Kejiang Chen, Jiyi Zhang, Weiming Zhang, Ee-Chien Chang:
Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions. 5054-5061 - Umberto Grandi, Lawqueen Kanesh, Grzegorz Lisowski, Ramanujan Sridharan, Paolo Turrini:
Identifying and Eliminating Majority Illusion in Social Networks. 5062-5069 - Zixun Guo, Jaeyong Kang, Dorien Herremans:
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. 5070-5077 - Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu:
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model. 5078-5086 - Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho:
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. 5087-5095 - Cheng Huang, Cong Bai, Sixian Chan, Jinglin Zhang, Yuquan Wu:
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data. 5096-5104 - Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong:
MDM: Molecular Diffusion Model for 3D Molecule Generation. 5105-5112 - Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang:
Learning Chemical Rules of Retrosynthesis with Pre-training. 5113-5121 - Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen:
Online Symbolic Regression with Informative Query. 5122-5130 - Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Gust Verbruggen, Ivan Radicek:
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. 5131-5140 - Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park:
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. 5141-5150 - Youngseo Kim, Danushka Edirimanna, Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey, Samitha Samaranayake:
Rolling Horizon Based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows. 5151-5159 - Yongju Lee, Hyunho Lee, Kyoungseob Shin, Sunghoon Kwon:
GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer. 5160-5168 - Chunyan Li, Junfeng Yao, Jinsong Su, Zhaoyang Liu, Xiangxiang Zeng, Chenxi Huang:
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning. 5169-5177 - Guobiao Li, Sheng Li, Meiling Li, Xinpeng Zhang, Zhenxing Qian:
Steganography of Steganographic Networks. 5178-5186 - Shuqi Li, Weiheng Liao, Yuhan Chen, Rui Yan:
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability. 5187-5194 - Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Decision-Making Context Interaction Network for Click-Through Rate Prediction. 5195-5202 - Zuchao Li, Ruhan Gong, Yineng Chen, Kehua Su:
Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion. 5203-5212 - Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu:
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. 5213-5221 - Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski:
On Manipulating Weight Predictions in Signed Weighted Networks. 5222-5229 - Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis:
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. 5230-5238 - Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé:
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. 5239-5247 - Ling Sun, Yuan Rao, Yuqian Lan, Bingcan Xia, Yangyang Li:
HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection. 5248-5256 - Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang:
Defending against Backdoor Attacks in Natural Language Generation. 5257-5265 - Atsushi Takada, Daichi Yamazaki, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai, Naoki Hamada, Likun Liu, Taiga Yamamoto, Daisuke Sakurai:
GenéLive! Generating Rhythm Actions in Love Live! 5266-5275 - Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen, Yuanfang Guo:
Deepfake Video Detection via Facial Action Dependencies Estimation. 5276-5284 - Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
Contrastive Attention Networks for Attribution of Early Modern Print. 5285-5293 - Xu Wan, Mingyang Sun, Boli Chen, Zhongda Chu, Fei Teng:
AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems. 5294-5302 - Jeremiasz Wolosiuk, Maciej Swiechowski, Jacek Mandziuk:
Don't Predict Counterfactual Values, Predict Expected Values Instead. 5303-5311 - Fang Wu, Dragomir Radev, Stan Z. Li:
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. 5312-5320 - Fang Wu, Stan Z. Li:
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. 5321-5329 - Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. 5330-5338 - Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang:
Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction. 5339-5347 - Shan Xue, Ye Du, Liang Xu:
Tighter Robust Upper Bounds for Options via No-Regret Learning. 5348-5356 - Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. 5357-5365 - Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu:
Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt. 5366-5374 - Zijiang Yang, Zhongwei Qiu, Dongmei Fu:
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks. 5375-5383 - Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge:
Bootstrapping Multi-View Representations for Fake News Detection. 5384-5392 - Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou:
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. 5393-5401 - Yuyao Zhai, Liang Chen, Minghua Deng:
Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data. 5402-5410 - Xinjian Zhang, Su Yang, Yi Xu, Weishan Zhang, Longwen Gao:
Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation. 5411-5419 - Ruijie Zhao, Mingwei Zhan, Xianwen Deng, Yanhao Wang, Yijun Wang, Guan Gui, Zhi Xue:
Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation. 5420-5427 - Sha Zhao, Yongrui Huang, Ling Chen, Chunping Wang, Shijian Li, Lei Chen, Gang Pan:
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views. 5428-5436 - Ervine Zheng, Qi Yu, Zhi Zheng:
Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns. 5437-5445 - Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang:
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing. 5446-5454
AAAI Technical Track on Game Theory and Economic Paradigms
- Itai Arieli, Ivan Geffner, Moshe Tennenholtz:
Mediated Cheap Talk Design. 5456-5463 - Guy Avni, Ismaël Jecker, Dorde Zikelic:
Bidding Graph Games with Partially-Observable Budgets. 5464-5471 - Haris Aziz, Warut Suksompong, Zhaohong Sun, Toby Walsh:
Fairness Concepts for Indivisible Items with Externalities. 5472-5480 - Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas:
Finding Fair Allocations under Budget Constraints. 5481-5489 - Jake Barrett, Kobi Gal, Paul Gölz, Rose M. Hong, Ariel D. Procaccia:
Now We're Talking: Better Deliberation Groups through Submodular Optimization. 5490-5498 - Niclas Boehmer, Martin Bullinger, Anna Maria Kerkmann:
Causes of Stability in Dynamic Coalition Formation. 5499-5506 - Niclas Boehmer, Jin-Yi Cai, Piotr Faliszewski, Austen Z. Fan, Lukasz Janeczko, Andrzej Kaczmarczyk, Tomasz Was:
Properties of Position Matrices and Their Elections. 5507-5514 - Niclas Boehmer, Robert Bredereck, Dominik Peters:
Rank Aggregation Using Scoring Rules. 5515-5523 - Markus Brill, Stefan Forster, Martin Lackner, Jan Maly, Jannik Peters:
Proportionality in Approval-Based Participatory Budgeting. 5524-5531 - Markus Brill, Hayrullah Dindar, Jonas Israel, Jérôme Lang, Jannik Peters, Ulrike Schmidt-Kraepelin:
Multiwinner Voting with Possibly Unavailable Candidates. 5532-5539 - Xiaolin Bu, Zihao Li, Shengxin Liu, Jiaxin Song, Biaoshuai Tao:
Fair Division with Prioritized Agents. 5540-5548 - Martin Bullinger, Warut Suksompong:
Topological Distance Games. 5549-5556 - Jiehua Chen, Seyedeh Negar Layegh Khavidaki, Sebastian Vincent Haydn, Sofia Simola, Manuel Sorge:
Game Implementation: What Are the Obstructions? 5557-5564