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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) - [c122]Longtian Qiu, Shan Ning, Xuming He:
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training. AAAI 2024: 4605-4613 - [c121]Rongjie Li, Yu Wu, Xuming He:
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning. CVPR 2024: 13428-13437 - [c120]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 - [c119]Zeeshan Hayder, Xuming He:
DSGG: Dense Relation Transformer for an End-to-End Scene Graph Generation. CVPR 2024: 28317-28326 - [c118]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 - [c117]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 - [c116]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 - [c115]Chuyu Zhang, Hui Ren, Xuming He:
P2OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering. ICLR 2024 - [c114]Kefei Wu, Xuming He, Yang Wang, Xiaopei Liu:
Multi-Level Progressive Reinforcement Learning for Control Policy in Physical Simulations. ICRA 2024: 9502-9508 - [c113]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 - [c112]Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He:
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. NeurIPS 2024 - [c111]Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu:
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy. NeurIPS 2024 - [i79]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) - [i78]Chuyu Zhang, Hui Ren, Xuming He:
P2OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering. CoRR abs/2401.09266 (2024) - [i77]Rongjie Li, Songyang Zhang, Xuming He:
SGTR+: End-to-end Scene Graph Generation with Transformer. CoRR abs/2401.12835 (2024) - [i76]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) - [i75]Zeeshan Hayder, Xuming He:
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation. CoRR abs/2403.14886 (2024) - [i74]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) - [i73]Rongjie Li, Yu Wu, Xuming He:
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning. CoRR abs/2404.00909 (2024) - [i72]Chuyu Zhang, Hui Ren, Xuming He:
SP2OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering. CoRR abs/2404.03446 (2024) - [i71]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) - [i70]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) - [i69]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) - [i68]Chuyu Zhang, Peiyan Gu, Xueyang Yu, Xuming He:
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery. CoRR abs/2410.13285 (2024) - [i67]Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He:
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts. CoRR abs/2411.03829 (2024) - [i66]Xiaofei Wu, Tao Liu, Caoji Li, Yuexin Ma, Yujiao Shi, Xuming He:
FastGrasp: Efficient Grasp Synthesis with Diffusion. CoRR abs/2411.14786 (2024) - [i65]Tao Liu, Rongjie Li, Chongyu Wang, Xuming He:
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation. CoRR abs/2412.19021 (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]Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli:
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. HUMA @ ACM Multimedia 2020: 33-41 - [c65]Quan Meng, Jiakai Zhang, Qiang Hu, Xuming He, Jingyi Yu:
LGNN: A Context-aware Line Segment Detector. ACM Multimedia 2020: 4364-4372 - [c64]Shuaiyi Huang, Qiuyue Wang, Xuming He:
Confidence-Aware Adversarial Learning for Self-supervised Semantic Matching. PRCV (1) 2020: 91-103 - [i23]Haozhe Wang, Jiale Zhou, Xuming He:
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning. CoRR abs/2003.01373 (2020) - [i22]Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He:
Part-aware Prototype Network for Few-shot Semantic Segmentation. CoRR abs/2007.06309 (2020) - [i21]Shuailin Li, Chuyu Zhang, Xuming He:
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images. CoRR abs/2007.10732 (2020) - [i20]Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli:
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. CoRR abs/2007.13098 (2020) - [i19]Quan Meng, Jiakai Zhang, Qiang Hu, Xuming He, Jingyi Yu:
LGNN: A Context-aware Line Segment Detector. CoRR abs/2008.05892 (2020) - [i18]Shuaiyi Huang, Qiuyue Wang, Xuming He:
Confidence-aware Adversarial Learning for Self-supervised Semantic Matching. CoRR abs/2008.10902 (2020)
2010 – 2019
- 2019
- [c63]Shipeng Yan, Songyang Zhang, Xuming He:
A Dual Attention Network with Semantic Embedding for Few-Shot Learning. AAAI 2019: 9079-9086 - [c62]Shipeng Yan, Songyang Zhang, Xuming He:
A Dual Attention Network with Semantic Embedding for Few-shot Learning. CVPR Workshops 2019 - [c61]Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He:
Dynamic Context Correspondence Network for Semantic Alignment. ICCV 2019: 2010-2019 - [c60]Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He:
Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection. ICCV 2019: 9468-9477 - [c59]Songyang Zhang, Xuming He, Shipeng Yan:
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition. ICML 2019: 7374-7383 - [i17]Xiangyang Zhi, Xuming He, Sören Schwertfeger:
Learning Autonomous Exploration and Mapping with Semantic Vision. CoRR abs/1901.04782 (2019) - [i16]Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He:
Fixed-price Diffusion Mechanism Design. CoRR abs/1905.05450 (2019) - [i15]Songyang Zhang, Shipeng Yan, Xuming He:
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition. CoRR abs/1905.11634 (2019) - [i14]Shuaiyi Huang, Qiuyue Wang, Songyang Zhang, Shipeng Yan, Xuming He:
Dynamic Context Correspondence Network for Semantic Alignment. CoRR abs/1909.03444 (2019) - [i13]Bo Wan, Desen Zhou, Yongfei Liu, Rongjie Li, Xuming He:
Pose-aware Multi-level Feature Network for Human Object Interaction Detection. CoRR abs/1909.08453 (2019) - [i12]Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He:
Learning Cross-modal Context Graph for Visual Grounding. CoRR abs/1911.09042 (2019) - [i11]Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao:
Learning a Layout Transfer Network for Context Aware Object Detection. CoRR abs/1912.03865 (2019) - 2018
- [j10]Feiyang Cheng, Xuming He, Hong Zhang:
Learning to refine depth for robust stereo estimation. Pattern Recognit. 74: 122-133 (2018) - [c58]Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu:
3D Box Proposals From a Single Monocular Image of an Indoor Scene. AAAI 2018: 7639-7647 - [c57]Qian He, Desen Zhou, Xuming He:
3D Object Structure Recovery via Semi-supervised Learning on Videos. BMVC 2018: 127 - [c56]Hongtao Yang, Xuming He, Fatih Porikli:
One-Shot Action Localization by Learning Sequence Matching Network. CVPR 2018: 1450-1459 - [c55]Miaomiao Liu, Xuming He, Mathieu Salzmann:
Geometry-Aware Deep Network for Single-Image Novel View Synthesis. CVPR 2018: 4616-4624 - [c54]Alexander Patrick Mathews, Lexing Xie, Xuming He:
SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text. CVPR 2018: 8591-8600 - [c53]Hongtao Yang, Xuming He, Fatih Porikli:
Instance-Aware Detailed Action Labeling in Videos. WACV 2018: 1577-1586 - [i10]Miaomiao Liu, Xuming He, Mathieu Salzmann:
Geometry-aware Deep Network for Single-Image Novel View Synthesis. CoRR abs/1804.06008 (2018) - [i9]Alexander Patrick Mathews, Lexing Xie, Xuming He:
Simplifying Sentences with Sequence to Sequence Models. CoRR abs/1805.05557 (2018) - [i8]Alexander Patrick Mathews, Lexing Xie, Xuming He:
SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text. CoRR abs/1805.07030 (2018) - 2017
- [j9]Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun:
Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(9): 5407-5423 (2017) - [j8]Feiyang Cheng, Xuming He, Hong Zhang:
Stacked Learning to Search for Scene Labeling. IEEE Trans. Image Process. 26(4): 1887-1898 (2017) - [c52]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Boundary-Aware Instance Segmentation. CVPR 2017: 587-595 - [c51]Tao Wang, Xuming He, Songzhi Su, Yin Guan:
Efficient Scene Layout Aware Object Detection for Traffic Surveillance. CVPR Workshops 2017: 926-933 - [c50]Yufan Liu, Songyang Zhang, Mai Xu, Xuming He:
Predicting Salient Face in Multiple-Face Videos. CVPR 2017: 3224-3232 - [c49]Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu:
Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference. CVPR 2017: 6269-6277 - [c48]Haoyang Zhang, Xuming He:
Deep Free-Form Deformation Network for Object-Mask Registration. ICCV 2017: 4261-4269 - [c47]Salman Hameed Khan, Xuming He, Fatih Porikli, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Learning deep structured network for weakly supervised change detection. IJCAI 2017: 2008-2015 - [c46]Haoyang Zhang, Xuming He, Fatih Porikli:
Learning Spatial Transforms for Refining Object Segment Proposals. WACV 2017: 37-46 - 2016
- [j7]Yansheng Ming, Hongdong Li, Xuming He:
Contour Completion Without Region Segmentation. IEEE Trans. Image Process. 25(8): 3597-3611 (2016) - [c45]Alexander Patrick Mathews, Lexing Xie, Xuming He:
SentiCap: Generating Image Descriptions with Sentiments. AAAI 2016: 3574-3580 - [c44]Haoyang Zhang, Xuming He, Fatih Porikli:
Learning to Generate Object Segment Proposals with Multi-modal Cues. ACCV (1) 2016: 121-136 - [c43]Yurui Xie, Fatih Porikli, Xuming He:
Object-Aware Dictionary Learning with Deep Features. ACCV (2) 2016: 237-253 - [c42]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Learning to Co-Generate Object Proposals with a Deep Structured Network. CVPR 2016: 2565-2573 - [c41]Miaomiao Liu, Xuming He, Mathieu Salzmann:
Building Scene Models by Completing and Hallucinating Depth and Semantics. ECCV (6) 2016: 258-274 - [c40]Buyu Liu, Xuming He:
Learning Dynamic Hierarchical Models for Anytime Scene Labeling. ECCV (6) 2016: 650-666 - [c39]Haoyang Zhang, Xuming He, Fatih Porikli, Laurent Kneip:
Semantic context and depth-aware object proposal generation. ICIP 2016: 1-5 - [c38]Hanxi Li, Xuming He, Nick Barnes, Mingwen Wang:
Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation. MMM (2) 2016: 116-129 - [i7]Miaomiao Liu, Mathieu Salzmann, Xuming He:
Semantic-Aware Depth Super-Resolution in Outdoor Scenes. CoRR abs/1605.09546 (2016) - [i6]Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Fatih Porikli, Ferdous Ahmed Sohel, Roberto Togneri:
Weakly Supervised Change Detection in a Pair of Images. CoRR abs/1606.02009 (2016) - [i5]Buyu Liu, Xuming He:
Learning Dynamic Hierarchical Models for Anytime Scene Labeling. CoRR abs/1608.03474 (2016) - [i4]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Shape-aware Instance Segmentation. CoRR abs/1612.03129 (2016) - 2015
- [j6]Yansheng Ming, Hongdong Li, Xuming He:
Winding Number Constrained Contour Detection. IEEE Trans. Image Process. 24(1): 68-79 (2015) - [j5]Heng Yang, Xuming He, Xuhui Jia, Ioannis Patras:
Robust Face Alignment Under Occlusion via Regional Predictive Power Estimation. IEEE Trans. Image Process. 24(8): 2393-2403 (2015) - [c37]Wei Zhuo, Mathieu Salzmann, Xuming He, Miaomiao Liu:
Indoor scene structure analysis for single image depth estimation. CVPR 2015: 614-622 - [c36]Buyu Liu, Xuming He:
Multiclass semantic video segmentation with object-level active inference. CVPR 2015: 4286-4294 - [c35]Salman Hameed Khan, Xuming He, Mohammed Bennamoun, Ferdous Ahmed Sohel, Roberto Togneri:
Separating objects and clutter in indoor scenes. CVPR 2015: 4603-4611 - [c34]Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Structural Kernel Learning for Large Scale Multiclass Object Co-detection. ICCV 2015: 2632-2640 - [c33]Alexander Patrick Mathews, Lexing Xie, Xuming He:
Studying Object Naming with Online Photos and Caption. MMCommons@ACM Multimedia 2015: 31-36 - [c32]Alexander Patrick Mathews, Lexing Xie, Xuming He:
Choosing Basic-Level Concept Names Using Visual and Language Context. WACV 2015: 595-602 - [c31]Buyu Liu, Xuming He, Stephen Gould:
Multi-class Semantic Video Segmentation with Exemplar-Based Object Reasoning. WACV 2015: 1014-1021 - [c30]Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker:
Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces. WACV 2015: 1046-1053 - [i3]Alexander Patrick Mathews, Lexing Xie, Xuming He:
SentiCap: Generating Image Descriptions with Sentiments. CoRR abs/1510.01431 (2015) - [i2]Miaomiao Liu, Mathieu Salzmann, Xuming He:
Structured Depth Prediction in Challenging Monocular Video Sequences. CoRR abs/1511.06070 (2015) - 2014
- [j4]Stephen Gould, Xuming He:
Scene understanding by labeling pixels. Commun. ACM 57(11): 68-77 (2014) - [c29]Xuming He, Stephen Gould:
An Exemplar-Based CRF for Multi-instance Object Segmentation. CVPR 2014: 296-303 - [c28]Miaomiao Liu, Mathieu Salzmann, Xuming He:
Discrete-Continuous Depth Estimation from a Single Image. CVPR 2014: 716-723 - [c27]Donghao Zhang, Xuming He, Hanxi Li:
Data-Driven Street Scene Layout Estimation for Distant Object Detection. DICTA 2014: 1-7 - [c26]Zeeshan Hayder, Mathieu Salzmann, Xuming He:
Object Co-detection via Efficient Inference in a Fully-Connected CRF. ECCV (3) 2014: 330-345 - [c25]Stephen Gould, Jiecheng Zhao, Xuming He, Yuhang Zhang:
Superpixel Graph Label Transfer with Learned Distance Metric. ECCV (1) 2014: 632-647 - [c24]Buyu Liu, Xuming He, Stephen Gould:
Joint semantic and geometric segmentation of videos with a stage model. WACV 2014: 737-744 - 2013
- [j3]Lexing Xie, Apostol Natsev, Xuming He, John R. Kender, Matthew L. Hill, John R. Smith:
Tracking Large-Scale Video Remix in Real-World Events. IEEE Trans. Multim. 15(6): 1244-1254 (2013) - [c23]Tao Wang, Xuming He, Nick Barnes:
Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning. CVPR 2013: 1790-1797 - [c22]Yansheng Ming, Hongdong Li, Xuming He:
Winding Number for Region-Boundary Consistent Salient Contour Extraction. CVPR 2013: 2818-2825 - [c21]Xuming He, Stephen Gould:
Multi-instance Object Segmentation with Exemplars. ICCV Workshops 2013: 1-4 - [c20]Tao Wang, Xuming He, Nick Barnes:
Glass object segmentation by label transfer on joint depth and appearance manifolds. ICIP 2013: 2944-2948 - [c19]Yansheng Ming, Hongdong Li, Xuming He:
Symmetry detection via contour grouping. ICIP 2013: 4259-4263 - [c18]Lexing Xie, Xuming He:
Picture tags and world knowledge: learning tag relations from visual semantic sources. ACM Multimedia 2013: 967-976 - 2012
- [c17]Yansheng Ming, Hongdong Li, Xuming He:
Connected contours: A new contour completion model that respects the closure effect. CVPR 2012: 829-836 - [c16]Tao Wang, Xuming He, Nick Barnes:
Learning Hough Forest with Depth-Encoded Context for Object Detection. DICTA 2012: 1-8 - [c15]Nick Barnes, Xuming He, Chris McCarthy, Lachlan Horne, Junae Kim, Adele F. Scott, Paulette Lieby:
The role of vision processing in prosthetic vision. EMBC 2012: 308-311 - [c14]Lachlan Horne, Nick Barnes, Chris McCarthy, Xuming He:
Image segmentation for enhancing symbol recognition in prosthetic vision. EMBC 2012: 2792-2795 - [c13]Xuming He, Junae Kim, Nick Barnes:
An face-based visual fixation system for prosthetic vision. EMBC 2012: 2981-2984 - [c12]Tao Wang, Xuming He, Nick Barnes:
Glass object localization by joint inference of boundary and depth. ICPR 2012: 3783-3786 - [i1]Lexing Xie, Apostol Natsev, Xuming He, John R. Kender, Matthew L. Hill, John R. Smith:
Tracking Large-Scale Video Remix in Real-World Events. CoRR abs/1210.0623 (2012) - 2011
- [c11]Jun Sun, Hongdong Li, Xuming He:
Analysis on Tree Structure Selection for MRF Inference in Low-level Vision. DICTA 2011: 66-71 - [c10]Tao Wang, Xuming He, Chunhua Shen, Nick Barnes:
Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. DICTA 2011: 209-216 - [c9]Jun Sun, Hongdong Li, Xuming He:
Efficient Image Denoising by MRF Approximation with Uniform-Sampled Multi-spanning-tree. ICIG 2011: 88-93 - [c8]Lexing Xie, Xuming He:
Spatial Semantics and Classifier Cascades: The ANU 2011 Multimedia Event Detection System. TRECVID 2011 - 2010
- [c7]Xuming He, Alan L. Yuille:
Occlusion Boundary Detection Using Pseudo-depth. ECCV (4) 2010: 539-552 - [c6]Shuang Wu, Xuming He, Hongjing Lu, Alan L. Yuille:
A unified model of short-range and long-range motion perception. NIPS 2010: 2478-2486
2000 – 2009
- 2008
- [b1]Xuming He:
Learning structured prediction models for image labeling. University of Toronto, Canada, 2008 - [j2]Liam Stewart, Xuming He, Richard S. Zemel:
Learning Flexible Features for Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1415-1426 (2008) - [c5]Xuming He, Richard S. Zemel:
Latent topic random fields: Learning using a taxonomy of labels. CVPR 2008 - [c4]Xiaodan Zhu, Xuming He, Cosmin Munteanu, Gerald Penn:
Using latent Dirichlet allocation to incorporate domain knowledge for topic transition detection. INTERSPEECH 2008: 2443-2445 - [c3]Xuming He, Richard S. Zemel:
Learning Hybrid Models for Image Annotation with Partially Labeled Data. NIPS 2008: 625-632 - 2006
- [j1]Xuming He, Richard S. Zemel, Volodymyr Mnih:
Topological map learning from outdoor image sequences. J. Field Robotics 23(11-12): 1091-1104 (2006) - [c2]Xuming He, Richard S. Zemel, Debajyoti Ray:
Learning and Incorporating Top-Down Cues in Image Segmentation. ECCV (1) 2006: 338-351 - 2004
- [c1]Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán:
Multiscale Conditional Random Fields for Image Labeling. CVPR (2) 2004: 695-702
Coauthor Index
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