Xuming He - RankMe

229 papers A* 64A 12B 7Misc 5Journal 102Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis. CoRR Xiaofei Wu, Yi Zhang, Yumeng Liu, Yuexin Ma, Yujiao Shi, Xuming He
2026	J	`jnl`	DA-DPO: Cost-efficient Difficulty-aware Preference Optimization for Reducing MLLM Hallucinations. CoRR Longtian Qiu, Shan Ning, Chuyu Zhang, Jiaxuan Sun, Xuming He
2026	J	`jnl`	Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum. CoRR Shan Ning, Longtian Qiu, Xuming He
2026	J	`jnl`	WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition. CoRR Shan Ning, Longtian Qiu, Jiaxuan Sun, Xuming He
2025	J	`jnl`	DA-DPO: Cost-efficient Difficulty-aware Preference Optimization for Reducing MLLM Hallucinations. Trans. Mach. Learn. Res. Longtian Qiu, Shan Ning, Chuyu Zhang, Jiaxuan Sun, Xuming He
2025	—	`conf`	FastGrasp: Efficient Grasp Synthesis with Diffusion. 3DV Xiaofei Wu, Tao Liu, Caoji Li, Yuexin Ma, Yujiao Shi, Xuming He
2025	J	`jnl`	Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery. CoRR Chuyu Zhang, Xueyang Yu, Peiyan Gu, Xuming He
2025	J	`jnl`	GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation. CoRR Tao Liu, Chongyu Wang, Rongjie Li, Yingchen Yu, Xuming He, Song Bai
2025	J	`jnl`	GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization. CoRR Shaowen Tong, Zimin Xia, Alexandre Alahi, Xuming He, Yujiao Shi
2025	J	`jnl`	Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning. CoRR Yana Wei, Zeen Chi, Chongyu Wang, Yu Wu, Shipeng Yan, Yongfei Liu, Xuming He
2025	A	`conf`	LMLitho: A Large Vision Model-Driven Lithography Simulation Framework. ICCAD Zhen Wang, Hongquan He, Tao Wu, Xuming He, Qi Sun, Cheng Zhuo, Bei Yu, Jingyi Yu, Hao Geng
2025	A*	`conf`	LVM-MO: A Large Vision Model Pioneer on Full-Chip Mask Optimization. DAC Yiwen Wu, Yuyang Chen, Shuo Yin, Nan Wang, Tao Wu, Xuming He, Hao Geng, Jingyi Yu
2025	J	`jnl`	NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation. CoRR Longtian Qiu, Shan Ning, Jiaxuan Sun, Xuming He
2025	A*	`conf`	Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation. AAAI Tao Liu, Rongjie Li, Chongyu Wang, Xuming He
2024	J	`jnl`	CIBench: Evaluating Your LLMs with a Code Interpreter Plugin. CoRR Songyang Zhang, Chuyu Zhang, Yingfan Hu, Haowen Shen, Kuikun Liu, Zerun Ma, Fengzhe Zhou, Wenwei Zhang, Xuming He, Dahua Lin, Kai Chen
2024	J	`jnl`	Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery. CoRR Chuyu Zhang, Peiyan Gu, Xueyang Yu, Xuming He
2024	A*	`conf`	CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy. NeurIPS Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu
2024	A*	`conf`	DSGG: Dense Relation Transformer for an End-to-End Scene Graph Generation. CVPR Zeeshan Hayder, Xuming He
2024	J	`jnl`	DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation. CoRR Zeeshan Hayder, Xuming He
2024	—	`conf`	Dual-Level Adaptive Self-labeling for Novel Class Discovery in Point Cloud Segmentation. ECCV (13) Ruijie Xu, Chuyu Zhang, Hui Ren, Xuming He
2024	J	`jnl`	Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation. CoRR Ruijie Xu, Chuyu Zhang, Hui Ren, Xuming He
2024	J	`jnl`	FastGrasp: Efficient Grasp Synthesis with Diffusion. CoRR Xiaofei Wu, Tao Liu, Caoji Li, Yuexin Ma, Yujiao Shi, Xuming He
2024	A*	`conf`	From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models. CVPR Rongjie Li, Songyang Zhang, Dahua Lin, Kai Chen, Xuming He
2024	J	`jnl`	From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models. CoRR Rongjie Li, Songyang Zhang, Dahua Lin, Kai Chen, Xuming He
2024	A*	`conf`	Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. NeurIPS Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He
2024	J	`jnl`	Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. CoRR Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He
2024	J	`jnl`	Just say what you want: only-prompting self-rewarding online preference optimization. CoRR Ruijie Xu, Zhihan Liu, Yongfei Liu, Shipeng Yan, Zhaoran Wang, Zhi Zhang, Xuming He
2024	A*	`conf`	LLM-HD: Layout Language Model for Hotspot Detection with GDS Semantic Encoding. DAC Yuyang Chen, Yiwen Wu, Jingya Wang, Tao Wu, Xuming He, Jingyi Yu, Hao Geng
2024	A*	`conf`	Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning. CVPR Rongjie Li, Yu Wu, Xuming He
2024	J	`jnl`	Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning. CoRR Rongjie Li, Yu Wu, Xuming He
2024	A*	`conf`	Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training. AAAI Longtian Qiu, Shan Ning, Xuming He
2024	J	`jnl`	Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training. CoRR Longtian Qiu, Shan Ning, Xuming He
2024	A*	`conf`	Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations. ICRA Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu
2024	J	`jnl`	Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing. IEEE Trans. Medical Imaging Xiangxi Meng, Kaicong Sun, Jun Xu, Xuming He, Dinggang Shen
2024	J	`jnl`	P CoRR Chuyu Zhang, Hui Ren, Xuming He
2024	A*	`conf`	P2OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering. ICLR Chuyu Zhang, Hui Ren, Xuming He
2024	A*	`conf`	RealDex: Towards Human-like Grasping for Robotic Dexterous Hand. IJCAI Yumeng Liu, Yaxun Yang, Youzhuo Wang, Xiaofei Wu, Jiamin Wang, Yichen Yao, Sören Schwertfeger, Sibei Yang, Wenping Wang, Jingyi Yu, Xuming He, Yuexin Ma
2024	J	`jnl`	RealDex: Towards Human-like Grasping for Robotic Dexterous Hand. CoRR Yumeng Liu, Yaxun Yang, Youzhuo Wang, Xiaofei Wu, Jiamin Wang, Yichen Yao, Sören Schwertfeger, Sibei Yang, Wenping Wang, Jingyi Yu, Xuming He, Yuexin Ma
2024	J	`jnl`	Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation. CoRR Tao Liu, Rongjie Li, Chongyu Wang, Xuming He
2024	J	`jnl`	SGTR+: End-to-End Scene Graph Generation With Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Rongjie Li, Songyang Zhang, Xuming He
2024	J	`jnl`	SGTR+: End-to-end Scene Graph Generation with Transformer. CoRR Rongjie Li, Songyang Zhang, Xuming He
2024	J	`jnl`	SP CoRR Chuyu Zhang, Hui Ren, Xuming He
2024	—	`conf`	SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models. ECCV (62) 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
2023	A*	`conf`	ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation. NeurIPS Zhitong Gao, Shipeng Yan, Xuming He
2023	J	`jnl`	ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation. CoRR Zhitong Gao, Shipeng Yan, Xuming He
2023	A*	`conf`	CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention. AAAI Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui
2023	A	`conf`	Cascade Sparse Feature Propagation Network for Interactive Segmentation. BMVC Chuyu Zhang, Hui Ren, Chuanyang Hu, Yongfei Liu, Xuming He
2023	A*	`conf`	Class-relation Knowledge Distillation for Novel Class Discovery. ICCV Peiyan Gu, Chuyu Zhang, Ruijie Xu, Xuming He
2023	J	`jnl`	Class-relation Knowledge Distillation for Novel Class Discovery. CoRR Peiyan Gu, Chuyu Zhang, Ruijie Xu, Xuming He
2023	J	`jnl`	Dynamic Grained Encoder for Vision Transformers. CoRR Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng
2023	A	`conf`	Exploring Learning-Based Control Policy for Fish-Like Robots in Altered Background Flows. IROS Xiaozhu Lin, Wenbin Song, Xiaopei Liu, Xuming He, Yang Wang
2023	J	`jnl`	GenEM: Physics-Informed Generative Cryo-Electron Microscopy. CoRR Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu
2023	—	`conf`	Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. ML4H@NeurIPS Bingnan Li, Zhitong Gao, Xuming He
2023	J	`jnl`	Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation. CoRR Bingnan Li, Zhitong Gao, Xuming He
2023	A*	`conf`	Grounded Image Text Matching with Mismatched Relation Reasoning. ICCV Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He
2023	J	`jnl`	Grounded Image Text Matching with Mismatched Relation Reasoning. CoRR Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He
2023	—	`conf`	HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. MICCAI (6) Lanzhuju Mei, Yu Fang, Zhiming Cui, Ke Deng, Nizhuan Wang, Xuming He, Yiqiang Zhan, Xiang Zhou, Maurizio Tonetti, Dinggang Shen
2023	A*	`conf`	HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models. CVPR Shan Ning, Longtian Qiu, Yongfei Liu, Xuming He
2023	J	`jnl`	HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models. CoRR Shan Ning, Longtian Qiu, Yongfei Liu, Xuming He
2023	A*	`conf`	Human-centric Scene Understanding for 3D Large-scale Scenarios. ICCV Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, Yuexin Ma
2023	J	`jnl`	Human-centric Scene Understanding for 3D Large-scale Scenarios. CoRR Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, Yuexin Ma
2023	A*	`conf`	MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. IJCAI Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He
2023	J	`jnl`	MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels. CoRR Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He
2023	A*	`conf`	Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts. ICLR Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He
2023	J	`jnl`	Novel Class Discovery for Long-tailed Recognition. CoRR Chuyu Zhang, Ruijie Xu, Xuming He
2023	J	`jnl`	Novel Class Discovery for Long-tailed Recognition. Trans. Mach. Learn. Res. Chuyu Zhang, Ruijie Xu, Xuming He
2023	A*	`conf`	OccluBEV: Occlusion Aware Spatiotemporal Modeling for Multi-view 3D Object Detection. ACM Multimedia Ziteng Wen, Hai Xu, Chenyu Liu, Tao Guo, Jinshui Hu, Xuming He, Fengren Wang, Shun Lou, Haibo Fan
2023	B	`conf`	Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. FG Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He
2023	J	`jnl`	SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models. CoRR 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
2023	—	`conf`	Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening. ISBI Jiyuan Liu, Xiao Zhang, Dongdong Gu, Xi Ouyang, Jiadong Zhang, Xuming He, Dinggang Shen, Zhong Xue
2023	—	`conf`	The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 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
2023	J	`jnl`	The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR 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
2023	A*	`conf`	Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. ICLR Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He
2023	J	`jnl`	Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning. CoRR Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He
2022	J	`jnl`	A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion. CoRR Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen
2022	J	`jnl`	Automatic spinal curvature measurement on ultrasound spine images using Faster R-CNN. CoRR Zhichao Liu, Liyue Qian, Wenke Jing, Desen Zhou, Xuming He, Edmond Lou, Rui Zheng
2022	J	`jnl`	Budget-aware Few-shot Learning via Graph Convolutional Network. CoRR Shipeng Yan, Songyang Zhang, Xuming He
2022	J	`jnl`	CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention. CoRR Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui
2022	A*	`conf`	FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning. ICRA Wenji Liu, Kai Bai, Xuming He, Shuran Song, Changxi Zheng, Xiaopei Liu
2022	J	`jnl`	FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning. CoRR Wenji Liu, Kai Bai, Xuming He, Shuran Song, Changxi Zheng, Xiaopei Liu
2022	A*	`conf`	General Incremental Learning with Domain-aware Categorical Representations. CVPR Jiangwei Xie, Shipeng Yan, Xuming He
2022	J	`jnl`	General Incremental Learning with Domain-aware Categorical Representations. CoRR Jiangwei Xie, Shipeng Yan, Xuming He
2022	—	`conf`	Generative Negative Text Replay for Continual Vision-Language Pretraining. ECCV (36) Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
2022	J	`jnl`	Generative Negative Text Replay for Continual Vision-Language Pretraining. CoRR Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He
2022	J	`jnl`	Intention-aware Feature Propagation Network for Interactive Segmentation. CoRR Chuyu Zhang, Chuanyang Hu, Yongfei Liu, Xuming He
2022	—	`conf`	KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. NAACL-HLT (Findings) Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan
2022	—	`conf`	Learning Semantic Correspondence with Sparse Annotations. ECCV (14) Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava
2022	J	`jnl`	Learning Semantic Correspondence with Sparse Annotations. CoRR Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava
2022	J	`jnl`	Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Expert. CoRR Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He
2022	J	`jnl`	Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. CoRR Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He
2022	A*	`conf`	ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. KDD Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng
2022	J	`jnl`	ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. CoRR Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng
2022	B	`conf`	Robust Temporally-Coherent Strategy for Few-shot Video Instance Segmentation. ICIP Qiuyue Wang, Songyang Zhang, Xuming He
2022	A*	`conf`	SGTR: End-to-end Scene Graph Generation with Transformer. CVPR Rongjie Li, Songyang Zhang, Xuming He
2022	—	`conf`	Weakly Supervised Nuclei Segmentation Via Instance Learning. ISBI Weizhen Liu, Qian He, Xuming He
2022	J	`jnl`	Weakly Supervised Nuclei Segmentation via Instance Learning. CoRR Weizhen Liu, Qian He, Xuming He
2021	A*	`conf`	An EM Framework for Online Incremental Learning of Semantic Segmentation. ACM Multimedia Shipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He
2021	J	`jnl`	An EM Framework for Online Incremental Learning of Semantic Segmentation. CoRR Shipeng Yan, Jiale Zhou, Jiangwei Xie, Songyang Zhang, Xuming He
2021	A*	`conf`	Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation. CVPR Rongjie Li, Songyang Zhang, Bo Wan, Xuming He
2021	J	`jnl`	Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation. CoRR Rongjie Li, Songyang Zhang, Bo Wan, Xuming He
2021	A*	`conf`	DER: Dynamically Expandable Representation for Class Incremental Learning. CVPR Shipeng Yan, Jiangwei Xie, Xuming He
2021	J	`jnl`	DER: Dynamically Expandable Representation for Class Incremental Learning. CoRR Shipeng Yan, Jiangwei Xie, Xuming He
2021	A*	`conf`	Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition. CVPR Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun
2021	J	`jnl`	Distribution Alignment: A Unified Framework for Long-tail Visual Recognition. CoRR Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun
2021	A*	`conf`	Dynamic Grained Encoder for Vision Transformers. NeurIPS Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng
2021	—	`conf`	Fixed-Price Diffusion Mechanism Design. PRICAI (1) Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He
2021	A*	`conf`	GNeRF: GAN-based Neural Radiance Field without Posed Camera. ICCV Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu
2021	J	`jnl`	GNeRF: GAN-based Neural Radiance Field without Posed Camera. CoRR Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu
2021	J	`jnl`	KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. CoRR Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan
2021	A*	`conf`	Learning Implicit Temporal Alignment for Few-shot Video Classification. IJCAI Songyang Zhang, Jiale Zhou, Xuming He
2021	J	`jnl`	Learning Implicit Temporal Alignment for Few-shot Video Classification. CoRR Songyang Zhang, Jiale Zhou, Xuming He
2021	A*	`conf`	Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. ACM Multimedia Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding
2021	J	`jnl`	Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition. CoRR Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding
2021	A*	`conf`	Relation-aware Instance Refinement for Weakly Supervised Visual Grounding. CVPR Yongfei Liu, Bo Wan, Lin Ma, Xuming He
2021	J	`jnl`	Relation-aware Instance Refinement for Weakly Supervised Visual Grounding. CoRR Yongfei Liu, Bo Wan, Lin Ma, Xuming He
2021	J	`jnl`	SGTR: End-to-end Scene Graph Generation with Transformer. CoRR Rongjie Li, Songyang Zhang, Xuming He
2021	A*	`conf`	Single Image 3D Object Estimation with Primitive Graph Networks. ACM Multimedia Qian He, Desen Zhou, Bo Wan, Xuming He
2021	J	`jnl`	Single Image 3D Object Estimation with Primitive Graph Networks. CoRR Qian He, Desen Zhou, Bo Wan, Xuming He
2021	—	`conf`	Superpixel-Guided Iterative Learning from Noisy Labels for Medical Image Segmentation. MICCAI (1) Shuailin Li, Zhitong Gao, Xuming He
2021	J	`jnl`	Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation. CoRR Shuailin Li, Zhitong Gao, Xuming He
2021	—	`conf`	Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model. MIDL Qian He, Shuailin Li, Xuming He
2021	J	`jnl`	Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model. CoRR Qian He, Shuailin Li, Xuming He
2021	J	`jnl`	Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge. CoRR Songyang Zhang, Lin Song, Songtao Liu, Zheng Ge, Zeming Li, Xuming He, Jian Sun
2020	—	`conf`	Confidence-Aware Adversarial Learning for Self-supervised Semantic Matching. PRCV (1) Shuaiyi Huang, Qiuyue Wang, Xuming He
2020	J	`jnl`	Confidence-aware Adversarial Learning for Self-supervised Semantic Matching. CoRR Shuaiyi Huang, Qiuyue Wang, Xuming He
2020	B	`conf`	Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective. ICPR Shichang Tang, Xu Zhou, Xuming He, Yi Ma
2020	A*	`conf`	LGNN: A Context-aware Line Segment Detector. ACM Multimedia Quan Meng, Jiakai Zhang, Qiang Hu, Xuming He, Jingyi Yu
2020	J	`jnl`	LGNN: A Context-aware Line Segment Detector. CoRR Quan Meng, Jiakai Zhang, Qiang Hu, Xuming He, Jingyi Yu
2020	A	`conf`	Learning Context-aware Task Reasoning for Efficient Meta Reinforcement Learning. AAMAS Haozhe Wang, Jiale Zhou, Xuming He
2020	J	`jnl`	Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning. CoRR Haozhe Wang, Jiale Zhou, Xuming He
2020	A*	`conf`	Learning Cross-Modal Context Graph for Visual Grounding. AAAI Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He
2020	J	`jnl`	Learning a Layout Transfer Network for Context Aware Object Detection. IEEE Trans. Intell. Transp. Syst. Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao
2020	—	`conf`	Part-Aware Prototype Network for Few-Shot Semantic Segmentation. ECCV (9) Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He
2020	J	`jnl`	Part-aware Prototype Network for Few-shot Semantic Segmentation. CoRR Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He
2020	—	`conf`	Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images. MICCAI (1) Shuailin Li, Chuyu Zhang, Xuming He
2020	J	`jnl`	Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images. CoRR Shuailin Li, Chuyu Zhang, Xuming He
2020	—	`conf`	Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. HUMA @ ACM Multimedia Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli
2020	J	`jnl`	Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. CoRR Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli
2019	A*	`conf`	A Dual Attention Network with Semantic Embedding for Few-Shot Learning. AAAI Shipeng Yan, Songyang Zhang, Xuming He
2019	—	`conf`	A Dual Attention Network with Semantic Embedding for Few-shot Learning. CVPR Workshops Shipeng Yan, Songyang Zhang, Xuming He
2019	A*	`conf`	Dynamic Context Correspondence Network for Semantic Alignment. ICCV Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He
2019	J	`jnl`	Dynamic Context Correspondence Network for Semantic Alignment. CoRR Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He
2019	J	`jnl`	Fixed-price Diffusion Mechanism Design. CoRR Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He
2019	A*	`conf`	LatentGNN: Learning Efficient Non-local Relations for Visual Recognition. ICML Songyang Zhang, Xuming He, Shipeng Yan
2019	J	`jnl`	LatentGNN: Learning Efficient Non-local Relations for Visual Recognition. CoRR Songyang Zhang, Shipeng Yan, Xuming He
2019	J	`jnl`	Learning Autonomous Exploration and Mapping with Semantic Vision. CoRR Xiangyang Zhi, Xuming He, Sören Schwertfeger
2019	J	`jnl`	Learning Cross-modal Context Graph for Visual Grounding. CoRR Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He
2019	J	`jnl`	Learning a Layout Transfer Network for Context Aware Object Detection. CoRR Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao
2019	A*	`conf`	Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection. ICCV Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He
2019	J	`jnl`	Pose-aware Multi-level Feature Network for Human Object Interaction Detection. CoRR Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He
2018	A*	`conf`	3D Box Proposals From a Single Monocular Image of an Indoor Scene. AAAI Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu
2018	A	`conf`	3D Object Structure Recovery via Semi-supervised Learning on Videos. BMVC Qian He, Desen Zhou, Xuming He
2018	A*	`conf`	Geometry-Aware Deep Network for Single-Image Novel View Synthesis. CVPR Miaomiao Liu, Xuming He, Mathieu Salzmann
2018	J	`jnl`	Geometry-aware Deep Network for Single-Image Novel View Synthesis. CoRR Miaomiao Liu, Xuming He, Mathieu Salzmann
2018	A	`conf`	Instance-Aware Detailed Action Labeling in Videos. WACV Hongtao Yang, Xuming He, Fatih Porikli
2018	J	`jnl`	Learning to refine depth for robust stereo estimation. Pattern Recognit. Feiyang Cheng, Xuming He, Hong Zhang
2018	A*	`conf`	One-Shot Action Localization by Learning Sequence Matching Network. CVPR Hongtao Yang, Xuming He, Fatih Porikli
2018	A*	`conf`	SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text. CVPR Alexander Patrick Mathews, Lexing Xie, Xuming He
2018	J	`jnl`	SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text. CoRR Alexander Patrick Mathews, Lexing Xie, Xuming He
2018	J	`jnl`	Simplifying Sentences with Sequence to Sequence Models. CoRR Alexander Patrick Mathews, Lexing Xie, Xuming He
2017	A*	`conf`	Boundary-Aware Instance Segmentation. CVPR Zeeshan Hayder, Xuming He, Mathieu Salzmann
2017	A*	`conf`	Deep Free-Form Deformation Network for Object-Mask Registration. ICCV Haoyang Zhang, Xuming He
2017	—	`conf`	Efficient Scene Layout Aware Object Detection for Traffic Surveillance. CVPR Workshops Tao Wang, Xuming He, Songzhi Su, Yin Guan
2017	J	`jnl`	Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun
2017	A*	`conf`	Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference. CVPR Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu
2017	A	`conf`	Learning Spatial Transforms for Refining Object Segment Proposals. WACV Haoyang Zhang, Xuming He, Fatih Porikli
2017	A*	`conf`	Learning deep structured network for weakly supervised change detection. IJCAI Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri
2017	A*	`conf`	Predicting Salient Face in Multiple-Face Videos. CVPR Yufan Liu, Songyang Zhang, Mai Xu, Xuming He
2017	J	`jnl`	Stacked Learning to Search for Scene Labeling. IEEE Trans. Image Process. Feiyang Cheng, Xuming He, Hong Zhang
2016	—	`conf`	Building Scene Models by Completing and Hallucinating Depth and Semantics. ECCV (6) Miaomiao Liu, Xuming He, Mathieu Salzmann
2016	J	`jnl`	Contour Completion Without Region Segmentation. IEEE Trans. Image Process. Yansheng Ming, Hongdong Li, Xuming He
2016	—	`conf`	Learning Dynamic Hierarchical Models for Anytime Scene Labeling. ECCV (6) Buyu Liu, Xuming He
2016	J	`jnl`	Learning Dynamic Hierarchical Models for Anytime Scene Labeling. CoRR Buyu Liu, Xuming He
2016	—	`conf`	Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation. MMM (2) Hanxi Li, Xuming He, Nick Barnes, Mingwen Wang
2016	A*	`conf`	Learning to Co-Generate Object Proposals with a Deep Structured Network. CVPR Zeeshan Hayder, Xuming He, Mathieu Salzmann
2016	—	`conf`	Learning to Generate Object Segment Proposals with Multi-modal Cues. ACCV (1) Haoyang Zhang, Xuming He, Fatih Porikli
2016	—	`conf`	Object-Aware Dictionary Learning with Deep Features. ACCV (2) Yurui Xie, Fatih Porikli, Xuming He
2016	B	`conf`	Semantic context and depth-aware object proposal generation. ICIP Haoyang Zhang, Xuming He, Fatih Porikli, Laurent Kneip
2016	J	`jnl`	Semantic-Aware Depth Super-Resolution in Outdoor Scenes. CoRR Miaomiao Liu, Mathieu Salzmann, Xuming He
2016	A*	`conf`	SentiCap: Generating Image Descriptions with Sentiments. AAAI Alexander Patrick Mathews, Lexing Xie, Xuming He
2016	J	`jnl`	Shape-aware Instance Segmentation. CoRR Zeeshan Hayder, Xuming He, Mathieu Salzmann
2016	J	`jnl`	Weakly Supervised Change Detection in a Pair of Images. CoRR Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Fatih Porikli, Ferdous Ahmed Sohel, Roberto Togneri
2015	A	`conf`	Choosing Basic-Level Concept Names Using Visual and Language Context. WACV Alexander Patrick Mathews, Lexing Xie, Xuming He
2015	A*	`conf`	Indoor scene structure analysis for single image depth estimation. CVPR Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu
2015	A	`conf`	Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces. WACV Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker
2015	A	`conf`	Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning. WACV Buyu Liu, Xuming He, Stephen Gould
2015	A*	`conf`	Multiclass semantic video segmentation with object-level active inference. CVPR Buyu Liu, Xuming He
2015	J	`jnl`	Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation. IEEE Trans. Image Process. Heng Yang, Xuming He, Xuhui Jia, Ioannis Patras
2015	J	`jnl`	SentiCap: Generating Image Descriptions with Sentiments. CoRR Alexander Patrick Mathews, Lexing Xie, Xuming He
2015	A*	`conf`	Separating objects and clutter in indoor scenes. CVPR Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri
2015	A*	`conf`	Structural Kernel Learning for Large Scale Multiclass Object Co-detection. ICCV Zeeshan Hayder, Xuming He, Mathieu Salzmann
2015	J	`jnl`	Structured Depth Prediction in Challenging Monocular Video Sequences. CoRR Miaomiao Liu, Mathieu Salzmann, Xuming He
2015	—	`conf`	Studying Object Naming with Online Photos and Caption. MMCommons@ACM Multimedia Alexander Patrick Mathews, Lexing Xie, Xuming He
2015	J	`jnl`	Winding Number Constrained Contour Detection. IEEE Trans. Image Process. Yansheng Ming, Hongdong Li, Xuming He
2014	A*	`conf`	An Exemplar-Based CRF for Multi-instance Object Segmentation. CVPR Xuming He, Stephen Gould
2014	Misc	`conf`	Data-Driven Street Scene Layout Estimation for Distant Object Detection. DICTA Donghao Zhang, Xuming He, Hanxi Li
2014	A*	`conf`	Discrete-Continuous Depth Estimation from a Single Image. CVPR Miaomiao Liu, Mathieu Salzmann, Xuming He
2014	A	`conf`	Joint semantic and geometric segmentation of videos with a stage model. WACV Buyu Liu, Xuming He, Stephen Gould
2014	—	`conf`	Object Co-detection via Efficient Inference in a Fully-Connected CRF. ECCV (3) Zeeshan Hayder, Mathieu Salzmann, Xuming He
2014	J	`jnl`	Scene understanding by labeling pixels. Commun. ACM Stephen Gould, Xuming He
2014	—	`conf`	Superpixel Graph Label Transfer with Learned Distance Metric. ECCV (1) Stephen Gould, Jiecheng Zhao, Xuming He, Yuhang Zhang
2013	B	`conf`	Glass object segmentation by label transfer on joint depth and appearance manifolds. ICIP Tao Wang, Xuming He, Nick Barnes
2013	A*	`conf`	Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning. CVPR Tao Wang, Xuming He, Nick Barnes
2013	—	`conf`	Multi-instance Object Segmentation with Exemplars. ICCV Workshops Xuming He, Stephen Gould
2013	A*	`conf`	Picture tags and world knowledge: learning tag relations from visual semantic sources. ACM Multimedia Lexing Xie, Xuming He
2013	B	`conf`	Symmetry detection via contour grouping. ICIP Yansheng Ming, Hongdong Li, Xuming He
2013	J	`jnl`	Tracking Large-Scale Video Remix in Real-World Events. IEEE Trans. Multim. Lexing Xie, Apostol Natsev, Xuming He, John R. Kender, Matthew L. Hill, John R. Smith
2013	A*	`conf`	Winding Number for Region-Boundary Consistent Salient Contour Extraction. CVPR Yansheng Ming, Hongdong Li, Xuming He
2012	—	`conf`	An face-based visual fixation system for prosthetic vision. EMBC Xuming He, Junae Kim, Nick Barnes
2012	A*	`conf`	Connected contours: A new contour completion model that respects the closure effect. CVPR Yansheng Ming, Hongdong Li, Xuming He
2012	B	`conf`	Glass object localization by joint inference of boundary and depth. ICPR Tao Wang, Xuming He, Nick Barnes
2012	—	`conf`	Image segmentation for enhancing symbol recognition in prosthetic vision. EMBC Lachlan Horne, Nick Barnes, Chris McCarthy, Xuming He
2012	Misc	`conf`	Learning Hough Forest with Depth-Encoded Context for Object Detection. DICTA Tao Wang, Xuming He, Nick Barnes
2012	—	`conf`	The role of vision processing in prosthetic vision. EMBC Nick Barnes, Xuming He, Chris McCarthy, Lachlan Horne, Junae Kim, Adele F. Scott, Paulette Lieby
2012	J	`jnl`	Tracking Large-Scale Video Remix in Real-World Events CoRR Lexing Xie, Apostol Natsev, Xuming He, John R. Kender, Matthew L. Hill, John R. Smith
2011	Misc	`conf`	Analysis on Tree Structure Selection for MRF Inference in Low-level Vision. DICTA Jun Sun, Hongdong Li, Xuming He
2011	Misc	`conf`	Efficient Image Denoising by MRF Approximation with Uniform-Sampled Multi-spanning-tree. ICIG Jun Sun, Hongdong Li, Xuming He
2011	Misc	`conf`	Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. DICTA Tao Wang, Xuming He, Chunhua Shen, Nick Barnes
2011	—	`conf`	Spatial Semantics and Classifier Cascades: The ANU 2011 Multimedia Event Detection System. TRECVID Lexing Xie, Xuming He
2010	—	`conf`	A unified model of short-range and long-range motion perception. NIPS Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille
2010	—	`conf`	Occlusion Boundary Detection Using Pseudo-depth. ECCV (4) Xuming He, Alan L. Yuille
2008	A*	`conf`	Latent topic random fields: Learning using a taxonomy of labels. CVPR Xuming He, Richard S. Zemel
2008	J	`jnl`	Learning Flexible Features for Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. Liam Stewart, Xuming He, Richard S. Zemel
2008	—	`conf`	Learning Hybrid Models for Image Annotation with Partially Labeled Data. NIPS Xuming He, Richard S. Zemel
2008	—	`—`	Learning structured prediction models for image labeling. Xuming He
2008	A	`conf`	Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection. INTERSPEECH Xiaodan Zhu, Xuming He, Cosmin Munteanu, Gerald Penn
2006	—	`conf`	Learning and Incorporating Top-Down Cues in Image Segmentation. ECCV (1) Xuming He, Richard S. Zemel, Debajyoti Ray
2006	J	`jnl`	Topological map learning from outdoor image sequences. J. Field Robotics Xuming He, Richard S. Zemel, Volodymyr Mnih
2004	—	`conf`	Multiscale Conditional Random Fields for Image Labeling. CVPR (2) Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán