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ORCIDXuming He 0001
Xu-Ming He 0001
Person information
- affiliation: ShanghaiTech University, China
Other persons with the same name
- Xuming He — disambiguation page
- Xuming He 0002 — University of Michigan, Ann Arbor, MI, USA (and 1 more)
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2020 – today
- 2024
[j14]Rongjie Li
, Songyang Zhang, Xuming He:
SGTR+: End-to-End Scene Graph Generation With Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2191-2205 (2024)- [j13]Xiangxi Meng, Kaicong Sun, Jun Xu, Xuming He, Dinggang Shen:
Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing. IEEE Trans. Medical Imaging 43(7): 2587-2598 (2024) - [c120]Longtian Qiu, Shan Ning, Xuming He:
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training. AAAI 2024: 4605-4613 - [c119]Rongjie Li, Yu Wu, Xuming He:
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning. CVPR 2024: 13428-13437 - [c118]Rongjie Li, Songyang Zhang, Dahua Lin, Kai Chen, Xuming He:
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models. CVPR 2024: 28076-28086 - [c117]Zeeshan Hayder, Xuming He:
DSGG: Dense Relation Transformer for an End-to-End Scene Graph Generation. CVPR 2024: 28317-28326 - [c116]Yuyang Chen, Yiwen Wu, Jingya Wang, Tao Wu, Xuming He, Jingyi Yu, Hao Geng:
LLM-HD: Layout Language Model for Hotspot Detection with GDS Semantic Encoding. DAC 2024: 121:1-121:6 - [c115]Ziyi Lin, Dongyang Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Yu Qiao, Hongsheng Li:
SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models. ECCV (62) 2024: 36-55 - [c114]Ruijie Xu, Chuyu Zhang, Hui Ren, Xuming He:
Dual-Level Adaptive Self-labeling for Novel Class Discovery in Point Cloud Segmentation. ECCV (13) 2024: 288-305 - [c113]Chuyu Zhang, Hui Ren, Xuming He:
P2OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering. ICLR 2024 - [c112]Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu:
Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations. ICRA 2024: 9502-9508 - [c111]Yumeng Liu, Yaxun Yang, Youzhuo Wang, Xiaofei Wu, Jiamin Wang, Yichen Yao, Sören Schwertfeger, Sibei Yang, Wenping Wang, Jingyi Yu, Xuming He, Yuexin Ma:
RealDex: Towards Human-like Grasping for Robotic Dexterous Hand. IJCAI 2024: 6859-6867 - [i76]Longtian Qiu, Shan Ning, Xuming He:
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training. CoRR abs/2401.02347 (2024) - [i75]Chuyu Zhang, Hui Ren, Xuming He:
P2OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering. CoRR abs/2401.09266 (2024) - [i74]Rongjie Li, Songyang Zhang, Xuming He:
SGTR+: End-to-end Scene Graph Generation with Transformer. CoRR abs/2401.12835 (2024) - [i73]Yumeng Liu, Yaxun Yang, Youzhuo Wang, Xiaofei Wu, Jiamin Wang, Yichen Yao, Sören Schwertfeger, Sibei Yang, Wenping Wang, Jingyi Yu, Xuming He, Yuexin Ma:
RealDex: Towards Human-like Grasping for Robotic Dexterous Hand. CoRR abs/2402.13853 (2024) - [i72]Zeeshan Hayder, Xuming He:
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation. CoRR abs/2403.14886 (2024) - [i71]Rongjie Li, Songyang Zhang, Dahua Lin, Kai Chen, Xuming He:
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models. CoRR abs/2404.00906 (2024) - [i70]Rongjie Li, Yu Wu, Xuming He:
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning. CoRR abs/2404.00909 (2024) - [i69]Chuyu Zhang, Hui Ren, Xuming He:
SP2OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering. CoRR abs/2404.03446 (2024) - [i68]Songyang Zhang, Chuyu Zhang, Yingfan Hu, Haowen Shen, Kuikun Liu, Zerun Ma, Fengzhe Zhou, Wenwei Zhang, Xuming He, Dahua Lin, Kai Chen:
CIBench: Evaluating Your LLMs with a Code Interpreter Plugin. CoRR abs/2407.10499 (2024) - [i67]Ruijie Xu, Chuyu Zhang, Hui Ren, Xuming He:
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation. CoRR abs/2407.12489 (2024) - [i66]Ruijie Xu, Zhihan Liu, Yongfei Liu, Shipeng Yan, Zhaoran Wang, Zhi Zhang, Xuming He:
Just say what you want: only-prompting self-rewarding online preference optimization. CoRR abs/2409.17534 (2024) - [i65]Chuyu Zhang, Peiyan Gu, Xueyang Yu, Xuming He:
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery. CoRR abs/2410.13285 (2024) - 2023
- [j12]Chuyu Zhang, Ruijie Xu, Xuming He:
Novel Class Discovery for Long-tailed Recognition. Trans. Mach. Learn. Res. 2023 (2023) - [c110]Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui:
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention. AAAI 2023: 746-754 - [c109]Chuyu Zhang, Hui Ren, Chuanyang Hu, Yongfei Liu, Xuming He:
Cascade Sparse Feature Propagation Network for Interactive Segmentation. BMVC 2023: 798 - [c108]Shan Ning, Longtian Qiu, Yongfei Liu, Xuming He:
HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models. CVPR 2023: 23507-23517 - [c107]Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He:
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. FG 2023: 1-8 - [c106]Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He:
Grounded Image Text Matching with Mismatched Relation Reasoning. ICCV 2023: 2964-2975 - [c105]Peiyan Gu, Chuyu Zhang, Ruijie Xu, Xuming He:
Class-relation Knowledge Distillation for Novel Class Discovery. ICCV 2023: 16428-16437 - [c104]Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, Yuexin Ma:
Human-centric Scene Understanding for 3D Large-scale Scenarios. ICCV 2023: 20292-20302 - [c103]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - [c102]Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He:
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts. ICLR 2023 - [c101]Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He:
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. ICLR 2023 - [c100]Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He:
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. IJCAI 2023: 828-836 - [c99]Xiaozhu Lin, Wenbin Song, Xiaopei Liu, Xuming He, Yang Wang:
Exploring Learning-Based Control Policy for Fish-Like Robots in Altered Background Flows. IROS 2023: 2338-2345 - [c98]Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue:
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. ISBI 2023: 1-4 - [c97]Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen:
HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. MICCAI (6) 2023: 54-63 - [c96]Bingnan Li, Zhitong Gao, Xuming He:
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. ML4H@NeurIPS 2023: 292-306 - [c95]Ziteng Wen, Hai Xu, Chenyu Liu, Tao Guo, Jinshui Hu, Xuming He, Fengren Wang, Shun Lou, Haibo Fan:
OccluBEV: Occlusion Aware Spatiotemporal Modeling for Multi-view 3D Object Detection. ACM Multimedia 2023: 4074-4083 - [c94]Zhitong Gao, Shipeng Yan, Xuming He:
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation. NeurIPS 2023 - [i64]Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng:
Dynamic Grained Encoder for Vision Transformers. CoRR abs/2301.03831 (2023) - [i63]Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He:
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. CoRR abs/2303.01313 (2023) - [i62]Shan Ning, Longtian Qiu, Yongfei Liu, Xuming He:
HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models. CoRR abs/2303.15786 (2023) - [i61]Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He:
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. CoRR abs/2306.11560 (2023) - [i60]Peiyan Gu, Chuyu Zhang, Ruijie Xu, Xuming He:
Class-relation Knowledge Distillation for Novel Class Discovery. CoRR abs/2307.09158 (2023) - [i59]Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, Yuexin Ma:
Human-centric Scene Understanding for 3D Large-scale Scenarios. CoRR abs/2307.14392 (2023) - [i58]Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He:
Grounded Image Text Matching with Mismatched Relation Reasoning. CoRR abs/2308.01236 (2023) - [i57]Chuyu Zhang, Ruijie Xu, Xuming He:
Novel Class Discovery for Long-tailed Recognition. CoRR abs/2308.02989 (2023) - [i56]Zhitong Gao, Shipeng Yan, Xuming He:
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation. CoRR abs/2309.05994 (2023) - [i55]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR abs/2309.15478 (2023) - [i54]Ziyi Lin, Chris Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Chen Lin, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Hongsheng Li, Yu Qiao:
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models. CoRR abs/2311.07575 (2023) - [i53]Bingnan Li, Zhitong Gao, Xuming He:
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. CoRR abs/2311.09737 (2023) - [i52]Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu:
GenEM: Physics-Informed Generative Cryo-Electron Microscopy. CoRR abs/2312.02235 (2023) - 2022
- [c93]Jiangwei Xie, Shipeng Yan, Xuming He:
General Incremental Learning with Domain-aware Categorical Representations. CVPR 2022: 14331-14340 - [c92]Rongjie Li, Songyang Zhang, Xuming He:
SGTR: End-to-end Scene Graph Generation with Transformer. CVPR 2022: 19464-19474 - [c91]Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He:
Generative Negative Text Replay for Continual Vision-Language Pretraining. ECCV (36) 2022: 22-38 - [c90]Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava:
Learning Semantic Correspondence with Sparse Annotations. ECCV (14) 2022: 267-284 - [c89]Qiuyue Wang, Songyang Zhang, Xuming He:
Robust Temporally-Coherent Strategy for Few-shot Video Instance Segmentation. ICIP 2022: 251-255 - [c88]Wenji Liu, Kai Bai, Xuming He, Shuran Song, Changxi Zheng, Xiaopei Liu:
FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning. ICRA 2022: 6268-6275 - [c87]Weizhen Liu, Qian He, Xuming He:
Weakly Supervised Nuclei Segmentation Via Instance Learning. ISBI 2022: 1-5 - [c86]Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng:
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. KDD 2022: 4021-4031 - [c85]Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan:
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. NAACL-HLT (Findings) 2022: 1589-1600 - [i51]Shipeng Yan, Songyang Zhang, Xuming He:
Budget-aware Few-shot Learning via Graph Convolutional Network. CoRR abs/2201.02304 (2022) - [i50]Weizhen Liu, Qian He, Xuming He:
Weakly Supervised Nuclei Segmentation via Instance Learning. CoRR abs/2202.01564 (2022) - [i49]Chuyu Zhang, Chuanyang Hu, Yongfei Liu, Xuming He:
Intention-aware Feature Propagation Network for Interactive Segmentation. CoRR abs/2203.05145 (2022) - [i48]Jiangwei Xie, Shipeng Yan, Xuming He:
General Incremental Learning with Domain-aware Categorical Representations. CoRR abs/2204.04078 (2022) - [i47]Zhichao Liu, Liyue Qian, Wenke Jing, Desen Zhou, Xuming He, Edmond Lou, Rui Zheng:
Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN. CoRR abs/2204.07988 (2022) - [i46]Wenji Liu, Kai Bai, Xuming He, Shuran Song, Changxi Zheng, Xiaopei Liu:
FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning. CoRR abs/2206.01683 (2022) - [i45]Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng:
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. CoRR abs/2206.05240 (2022) - [i44]Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen:
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion. CoRR abs/2207.03430 (2022) - [i43]Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava:
Learning Semantic Correspondence with Sparse Annotations. CoRR abs/2208.06974 (2022) - [i42]Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He:
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. CoRR abs/2208.09150 (2022) - [i41]Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui:
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention. CoRR abs/2209.14169 (2022) - [i40]Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He:
Generative Negative Text Replay for Continual Vision-Language Pretraining. CoRR abs/2210.17322 (2022) - [i39]Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He:
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Expert. CoRR abs/2212.07328 (2022) - 2021
- [c84]Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun:
Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition. CVPR 2021: 2361-2370 - [c83]Shipeng Yan, Jiangwei Xie, Xuming He:
DER: Dynamically Expandable Representation for Class Incremental Learning. CVPR 2021: 3014-3023 - [c82]Yongfei Liu, Bo Wan, Lin Ma, Xuming He:
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding. CVPR 2021: 5612-5621 - [c81]Rongjie Li, Songyang Zhang, Bo Wan, Xuming He:
Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation. CVPR 2021: 11109-11119 - [c80]Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu:
GNeRF: GAN-based Neural Radiance Field without Posed Camera. ICCV 2021: 6331-6341 - [c79]Songyang Zhang, Jiale Zhou, Xuming He:
Learning Implicit Temporal Alignment for Few-shot Video Classification. IJCAI 2021: 1309-1315 - [c78]Shuailin Li, Zhitong Gao, Xuming He:
Superpixel-Guided Iterative Learning from Noisy Labels for Medical Image Segmentation. MICCAI (1) 2021: 525-535 - [c77]Qian He, Shuailin Li, Xuming He:
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model. MIDL 2021: 268-285 - [c76]Qian He, Desen Zhou, Bo Wan, Xuming He:
Single Image 3D Object Estimation with Primitive Graph Networks. ACM Multimedia 2021: 2353-2361 - [c75]Shipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He:
An EM Framework for Online Incremental Learning of Semantic Segmentation. ACM Multimedia 2021: 3052-3060 - [c74]Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding:
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. ACM Multimedia 2021: 4334-4342 - [c73]Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng:
Dynamic Grained Encoder for Vision Transformers. NeurIPS 2021: 5770-5783 - [c72]Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He:
Fixed-Price Diffusion Mechanism Design. PRICAI (1) 2021: 49-62 - [i38]Yongfei Liu, Bo Wan, Lin Ma, Xuming He:
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding. CoRR abs/2103.12989 (2021) - [i37]Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu:
GNeRF: GAN-based Neural Radiance Field without Posed Camera. CoRR abs/2103.15606 (2021) - [i36]Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun:
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition. CoRR abs/2103.16370 (2021) - [i35]Shipeng Yan, Jiangwei Xie, Xuming He:
DER: Dynamically Expandable Representation for Class Incremental Learning. CoRR abs/2103.16788 (2021) - [i34]Rongjie Li, Songyang Zhang, Bo Wan, Xuming He:
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation. CoRR abs/2104.00308 (2021) - [i33]Qian He, Shuailin Li, Xuming He:
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model. CoRR abs/2104.13082 (2021) - [i32]Hongye Zeng, Songhan Ge, Yuchong Gao, Desen Zhou, Kang Zhou, Xu-Ming He, Rui Zheng:
Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network. CoRR abs/2105.03847 (2021) - [i31]Songyang Zhang, Jiale Zhou, Xuming He:
Learning Implicit Temporal Alignment for Few-shot Video Classification. CoRR abs/2105.04823 (2021) - [i30]Shuailin Li, Zhitong Gao, Xuming He:
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation. CoRR abs/2107.10100 (2021) - [i29]Shipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He:
An EM Framework for Online Incremental Learning of Semantic Segmentation. CoRR abs/2108.03613 (2021) - [i28]Songyang Zhang, Lin Song, Songtao Liu, Zheng Ge, Zeming Li, Xuming He, Jian Sun:
Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge. CoRR abs/2108.04230 (2021) - [i27]Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding:
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. CoRR abs/2108.04536 (2021) - [i26]Qian He, Desen Zhou, Bo Wan, Xuming He:
Single Image 3D Object Estimation with Primitive Graph Networks. CoRR abs/2109.04153 (2021) - [i25]Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan:
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. CoRR abs/2109.10504 (2021) - [i24]Rongjie Li, Songyang Zhang, Xuming He:
SGTR: End-to-end Scene Graph Generation with Transformer. CoRR abs/2112.12970 (2021) - 2020
- [j11]Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao:
Learning a Layout Transfer Network for Context Aware Object Detection. IEEE Trans. Intell. Transp. Syst. 21(10): 4209-4224 (2020) - [c71]Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He:
Learning Cross-Modal Context Graph for Visual Grounding. AAAI 2020: 11645-11652 - [c70]Haozhe Wang, Jiale Zhou, Xuming He:
Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning. AAMAS 2020: 1440-1448 - [c69]Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He:
Part-Aware Prototype Network for Few-Shot Semantic Segmentation. ECCV (9) 2020: 142-158 - [c68]Shichang Tang, Xu Zhou, Xuming He, Yi Ma:
Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective. ICPR 2020: 10042-10049 - [c67]Shuailin Li, Chuyu Zhang, Xuming He:
Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images. MICCAI (1) 2020: 552-561 - [c66]