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ORCID32nd IJCAI 2023: Macao, SAR, China
- Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China. ijcai.org 2023
Main Track
Agent-based and Multi-agent Systems
- Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark, Radha Poovendran:
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases. 3-11 - Anupama Arukgoda, Erandi Lakshika, Michael Barlow, Kasun Gunawardana:
Artificial Agents Inspired by Human Motivation Psychology for Teamwork in Hazardous Environments. 12-19 - Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah:
Proportionally Fair Online Allocation of Public Goods with Predictions. 20-28 - Luca Becchetti, Andrea E. F. Clementi, Amos Korman, Francesco Pasquale, Luca Trevisan, Robin Vacus:
On the Role of Memory in Robust Opinion Dynamics. 29-37 - Luca Becchetti, Vincenzo Bonifaci, Emilio Cruciani, Francesco Pasquale:
On a Voter Model with Context-Dependent Opinion Adoption. 38-45 - Francesco Belardinelli, Angelo Ferrando, Wojciech Jamroga, Vadim Malvone, Aniello Murano:
Scalable Verification of Strategy Logic through Three-Valued Abstraction. 46-54 - Kayla Boggess, Sarit Kraus, Lu Feng:
Explainable Multi-Agent Reinforcement Learning for Temporal Queries. 55-63 - Da Qi Chen, Ann Li, George Z. Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Efficient and Equitable Deployment of Mobile Vaccine Distribution Centers. 64-72 - Alex Cloud, Albert Wang, Wesley Kerr:
Anticipatory Fictitious Play. 73-81 - Aleksander Czechowski, Frans A. Oliehoek:
Safe Multi-agent Learning via Trapping Regions. 82-90 - Michael Dann, Yuan Yao, Natasha Alechina
, Brian Logan, Felipe Meneguzzi, John Thangarajah:
Multi-Agent Intention Recognition and Progression. 91-99 - Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu:
Controlling Neural Style Transfer with Deep Reinforcement Learning. 100-108 - Thiago Freitas dos Santos, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Nardine Osman, Marco Schorlemmer:
Cross-community Adapter Learning (CAL) to Understand the Evolving Meanings of Norm Violation. 109-117 - Yuma Fujimoto, Kaito Ariu, Kenshi Abe:
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. 118-125 - Xudong Guo, Daming Shi, Wenhui Fan:
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism. 126-134 - Aamal Abbas Hussain, Francesco Belardinelli, Georgios Piliouras:
Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics. 135-143 - David Hyland, Julian Gutierrez, Michael J. Wooldridge:
Principal-Agent Boolean Games. 144-152 - Waldy Joe, Hoong Chuin Lau:
Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning. 153-161 - Kiarash Kazari, Ezzeldin Shereen, György Dán:
Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning. 162-170 - David Klaska, Antonín Kucera, Martin Kurecka, Vít Musil, Petr Novotný, Vojtech Rehák:
Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems. 171-179 - Pascal Kunz, Hendrik Molter, Meirav Zehavi:
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks? 180-188 - Lening Li, Hazhar Rahmani, Jie Fu:
Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives. 189-198 - Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan:
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control. 199-207 - Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan:
Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning. 208-216 - Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli:
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks. 217-224 - Munyque Mittelmann, Aniello Murano, Laurent Perrussel:
Discounting in Strategy Logic. 225-233 - Ahad N. Zehmakan, Charlotte Out, Sajjad Hesamipour Khelejan:
Why Rumors Spread Fast in Social Networks, and How to Stop It. 234-242 - Keisuke Okumura:
Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding. 243-251 - Keisuke Okumura, Xavier Défago:
Quick Multi-Robot Motion Planning by Combining Sampling and Search. 252-261 - Ben Rachmut, Sofia Amador Nelke, Roie Zivan:
Asynchronous Communication Aware Multi-Agent Task Allocation. 262-270 - David Radke, Kate Larson, Tim Brecht, Kyle Tilbury:
Towards a Better Understanding of Learning with Multiagent Teams. 271-279 - Senthil Rajasekaran, Suguman Bansal, Moshe Y. Vardi:
Multi-Agent Systems with Quantitative Satisficing Goals. 280-288 - Amika M. Singh, Munindar P. Singh:
Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy. 289-297 - Zijian Song, Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhaoqi Wang:
CVTP3D: Cross-view Trajectory Prediction Using Shared 3D Queries for Autonomous Driving. 298-308 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm:
Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation. 309-316 - Elizaveta Tennant, Stephen Hailes, Mirco Musolesi:
Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning. 317-325 - Pei Xu, Junge Zhang, Kaiqi Huang:
Exploration via Joint Policy Diversity for Sparse-Reward Multi-Agent Tasks. 326-334 - Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun:
Measuring Acoustics with Collaborative Multiple Agents. 335-343 - Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian:
Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. 344-352 - Bin Zhang, Lijuan Li, Zhiwei Xu, Dapeng Li, Guoliang Fan:
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning. 353-361
AI Ethics, Trust, Fairness
- Sander Beckers, Hana Chockler, Joseph Y. Halpern:
Quantifying Harm. 363-371 - Filip Cano Córdoba, Samuel Judson, Timos Antonopoulos, Katrine Bjørner, Nicholas Shoemaker, Scott J. Shapiro, Ruzica Piskac, Bettina Könighofer:
Analyzing Intentional Behavior in Autonomous Agents under Uncertainty. 372-381 - Edmund Dervakos, Konstantinos Thomas, Giorgos Filandrianos, Giorgos Stamou:
Choose your Data Wisely: A Framework for Semantic Counterfactuals. 382-390 - Sharmila Duppala, Juan Luque, John P. Dickerson, Aravind Srinivasan:
Group Fairness in Set Packing Problems. 391-399 - Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Incentivizing Recourse through Auditing in Strategic Classification. 400-408 - Sruthi Gorantla, Amit Deshpande, Anand Louis:
Sampling Ex-Post Group-Fair Rankings. 409-417 - Umberto Grandi, Emiliano Lorini, Timothy Parker:
Moral Planning Agents with LTL Values. 418-426 - Eoin M. Kenny, Eoin Delaney, Mark T. Keane:
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting. 427-435 - Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu:
Fairness via Group Contribution Matching. 436-445 - Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. 446-454 - Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu:
Robust Reinforcement Learning via Progressive Task Sequence. 455-463 - Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. 464-472 - Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein:
Explanation-Guided Reward Alignment. 473-482 - Md Asifur Rahman, Tongtong Liu, Sarra Alqahtani:
Adversarial Behavior Exclusion for Safe Reinforcement Learning. 483-491 - Shubham Sharma, Jette Henderson, Joydeep Ghosh:
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. 492-500 - Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. 501-509 - Cuong Tran, Ferdinando Fioretto:
On the Fairness Impacts of Private Ensembles Models. 510-518 - Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. 519-526 - Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang:
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition. 527-535 - Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu:
Towards Semantics- and Domain-Aware Adversarial Attacks. 536-544
Computer Vision
- Chamath Abeysinghe, Chris Reid, Hamid Rezatofighi, Bernd Meyer:
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking. 546-554 - Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang:
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. 555-563 - Jiahao Chao, Zhou Zhou, Hongfan Gao, Jiali Gong, Zhenbing Zeng, Zhengfeng Yang:
A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution. 564-572 - Changjie Chen, Yong Yang, Shuying Huang, Wei Tu, Weiguo Wan, Shengna Wei:
MMPN: Multi-supervised Mask Protection Network for Pansharpening. 573-580 - Han-Yuan Chen, Jun-Yan He, Wangmeng Xiang, Zhi-Qi Cheng, Wei Liu, Hanbing Liu, Bin Luo, Yifeng Geng, Xuansong Xie:
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation. 581-589 - Tianxiang Chen, Qi Chu, Bin Liu, Nenghai Yu:
Fluid Dynamics-Inspired Network for Infrared Small Target Detection. 590-598 - Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie:
CostFormer: Cost Transformer for Cost Aggregation in Multi-view Stereo. 599-608 - Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong:
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning. 609-617 - Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang:
Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion. 618-626 - Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu:
Robust Image Ordinal Regression with Controllable Image Generation. 627-635 - Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen:
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation. 636-644 - Yuning Cui, Yi Tao, Luoxi Jing, Alois Knoll:
Strip Attention for Image Restoration. 645-653 - Xiaolei Diao, Daqian Shi, Hao Tang, Qiang Shen, Yanzeng Li, Lei Wu, Hao Xu:
RZCR: Zero-shot Character Recognition via Radical-based Reasoning. 654-662 - Chuanghao Ding, Jianrong Zhang, Henghui Ding, Hongwei Zhao, Zhihui Wang, Tengfei Xing, Runbo Hu:
Decoupling with Entropy-based Equalization for Semi-Supervised Semantic Segmentation. 663-671 - Chenghao Dong, Xuejing Kang, Anlong Ming:
ICDA: Illumination-Coupled Domain Adaptation Framework for Unsupervised Nighttime Semantic Segmentation. 672-680 - Shuting Dong, Feng Lu, Zhe Wu, Chun Yuan:
DFVSR: Directional Frequency Video Super-Resolution via Asymmetric and Enhancement Alignment Network. 681-689 - Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun:
Timestamp-Supervised Action Segmentation from the Perspective of Clustering. 690-698 - Zhongjing Du, Xu Jiang, Peng Wang, Qizheng Zhou, Xi Wu, Jiliu Zhou, Yan Wang:
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning. 699-707 - Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. 708-716 - Ke Fan, Changan Wang, Yabiao Wang, Chengjie Wang, Ran Yi, Lizhuang Ma:
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation. 717-725 - Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He:
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion. 726-735 - Xianyong Fang, Yuqing Shi, Qingqing Guo, Linbo Wang, Zhengyi Liu:
Sub-Band Based Attention for Robust Polyp Segmentation. 736-744 - Zhengcong Fei, Junshi Huang:
Incorporating Unlikely Negative Cues for Distinctive Image Captioning. 745-753 - Rao Fu, Cheng Wen, Qian Li, Xiao Xiao, Pierre Alliez:
BPNet: Bézier Primitive Segmentation on 3D Point Clouds. 754-762 - Shiwei Gan, Yafeng Yin, Zhiwei Jiang, Kang Xia, Lei Xie, Sanglu Lu:
Contrastive Learning for Sign Language Recognition and Translation. 763-772 - Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen:
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. 773-781 - Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia:
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. 782-790 - Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzhi Li, Pheng-Ann Heng:
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. 791-799 - Young-Joo Han, Ha-Jin Yu:
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity. 800-809 - Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Wangmeng Xiang, Binghui Chen, Bin Luo, Yifeng Geng, Xuansong Xie:
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving. 810-818 - Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, Dongde Hou:
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation. 819-827 - Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He:
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. 828-836 - Xin Hu, Lingling Zhang, Jun Liu, Xinyu Zhang, Wenjun Wu, Qianying Wang:
Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. 837-845 - Zhenzhen Hu, Zhenshan Wang, Zijie Song, Richang Hong:
Dual Video Summarization: From Frames to Captions. 846-854 - Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu:
Part Aware Contrastive Learning for Self-Supervised Action Recognition. 855-863 - Huayang Huang, Qian Wang, Xueluan Gong, Tao Wang:
Orion: Online Backdoor Sample Detection via Evolution Deviance. 864-874 - Shaofei Huang, Han Li, Yuqing Wang, Hongji Zhu, Jiao Dai, Jizhong Han, Wenge Rong, Si Liu:
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation. 875-883 - Xinyang Huang, Chuang Zhu, Wenkai Chen:
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning. 884-892 - Tianrui Hui, Zihan Ding, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu:
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding. 893-901 - Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang:
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset. 902-910 - Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. 911-919 - Deyi Ji, Feng Zhao, Hongtao Lu:
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation. 920-928 - Xiangze Jia, Hui Zhou, Xinge Zhu, Yandong Guo, Ji Zhang, Yuexin Ma:
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds. 929-937 - Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen:
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. 938-946 - Jingyi Ju, Buzhen Huang, Chen Zhu, Zhihao Li, Yangang Wang:
Physics-Guided Human Motion Capture with Pose Probability Modeling. 947-955 - Kumara Kahatapitiya, Michael S. Ryoo:
SWAT: Spatial Structure Within and Among Tokens. 956-964 - Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman:
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. 965-973 - Jeongho Kim, Hanbeen Lee, Simon S. Woo:
IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation. 974-982 - Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang:
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. 983-990 - Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang:
Clustered-patch Element Connection for Few-shot Learning. 991-998 - Shenqi Lai, Xi Du, Jia Guo, Kaipeng Zhang:
RaMLP: Vision MLP via Region-aware Mixing. 999-1007 - Pengcheng Lei, Faming Fang, Guixu Zhang, Ming Xu:
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction. 1008-1016 - Tao Lei, Rui Sun, Xuan Wang, Yingbo Wang, Xi He, Asoke K. Nandi:
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation. 1017-1025 - Chunxiao Li, Xuejing Kang, Anlong Ming:
WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows. 1026-1034 - Guanxin Li, Jingang Shi, Yuan Zong, Fei Wang, Tian Wang, Yihong Gong:
Learning Attention from Attention: Efficient Self-Refinement Transformer for Face Super-Resolution. 1035-1043 - Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen:
TG-VQA: Ternary Game of Video Question Answering. 1044-1052 - Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye:
Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint. 1053-1061 - Ling Li,