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2020 – today
- 2023
[j6]Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided feature mining and fusion network for natural image matting. Comput. Vis. Image Underst. 230: 103645 (2023)- [j5]Zhenchao Jin
, Dongdong Yu, Zehuan Yuan, Lequan Yu:
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5988-6005 (2023) - [j4]Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang:
DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7319-7337 (2023) - [j3]Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Zehuan Yuan, Ping Luo:
Sparse R-CNN: An End-to-End Framework for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15650-15664 (2023) - [c35]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce. CVPR 2023: 11060-11069 - [c34]Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu:
Universal Instance Perception as Object Discovery and Retrieval. CVPR 2023: 15325-15336 - [c33]Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu:
Meta Compositional Referring Expression Segmentation. CVPR 2023: 19478-19487 - [c32]Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu:
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. CVPR 2023: 24027-24038 - [c31]Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai:
Learning Object-Language Alignments for Open-Vocabulary Object Detection. ICLR 2023 - [c30]Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan:
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. ICLR 2023 - [c29]Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Satoshi Tsutsui, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou:
Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization. ACM Multimedia 2023: 2507-2515 - [c28]Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu:
MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. SIGIR 2023: 1528-1538 - [i47]Keyu Tian, Yi Jiang, Qishuai Diao, Chen Lin, Liwei Wang, Zehuan Yuan:
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling. CoRR abs/2301.03580 (2023) - [i46]Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu:
Universal Instance Perception as Object Discovery and Retrieval. CoRR abs/2303.06674 (2023) - [i45]Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo:
Multi-Level Contrastive Learning for Dense Prediction Task. CoRR abs/2304.02010 (2023) - [i44]Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo:
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. CoRR abs/2304.02012 (2023) - [i43]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce. CoRR abs/2304.02853 (2023) - [i42]Tianjiao Li, Lin Geng Foo, Ping Hu, Xindi Shang, Hossein Rahmani, Zehuan Yuan, Jun Liu:
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training. CoRR abs/2304.04175 (2023) - [i41]Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu:
Meta Compositional Referring Expression Segmentation. CoRR abs/2304.04415 (2023) - [i40]Zijia Zhao, Longteng Guo, Tongtian Yue, Sihan Chen, Shuai Shao, Xinxin Zhu, Zehuan Yuan, Jing Liu:
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst. CoRR abs/2305.16103 (2023) - [i39]Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo:
Exploring Transformers for Open-world Instance Segmentation. CoRR abs/2308.04206 (2023) - [i38]Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang:
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. CoRR abs/2308.11971 (2023) - [i37]Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi:
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection. CoRR abs/2310.16667 (2023) - [i36]Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu:
Recognize Any Regions. CoRR abs/2311.01373 (2023) - 2022
- [j2]Bo Yuan, Danpei Zhao, Shuai Shao, Zehuan Yuan, Changhu Wang:
Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. IEEE Trans. Image Process. 31: 2878-2892 (2022) - [j1]Guanghao Yin, Wei Wang, Zehuan Yuan, Wei Ji, Dongdong Yu, Shouqian Sun, Tat-Seng Chua, Changhu Wang:
Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations. IEEE Trans. Image Process. 31: 3949-3960 (2022) - [c27]Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. AAAI 2022: 3134-3142 - [c26]Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan:
Focal and Global Knowledge Distillation for Detectors. CVPR 2022: 4633-4642 - [c25]Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo:
Language as Queries for Referring Video Object Segmentation. CVPR 2022: 4964-4974 - [c24]Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo:
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. CVPR 2022: 20961-20970 - [c23]Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang:
ByteTrack: Multi-object Tracking by Associating Every Detection Box. ECCV (22) 2022: 1-21 - [c22]Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan:
Masked Generative Distillation. ECCV (11) 2022: 53-69 - [c21]Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu:
You Should Look at All Objects. ECCV (9) 2022: 332-349 - [c20]Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan:
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation. ECCV (36) 2022: 380-397 - [c19]Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu:
Towards Grand Unification of Object Tracking. ECCV (21) 2022: 733-751 - [c18]Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu:
Objects in Semantic Topology. ICLR 2022 - [c17]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. NeurIPS 2022 - [c16]Chuofan Ma, Qiushan Guo, Yi Jiang, Ping Luo, Zehuan Yuan, Xiaojuan Qi:
Rethinking Resolution in the Context of Efficient Video Recognition. NeurIPS 2022 - [c15]Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan:
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. NeurIPS 2022 - [i35]Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo:
Language as Queries for Referring Video Object Segmentation. CoRR abs/2201.00487 (2022) - [i34]Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. CoRR abs/2202.13123 (2022) - [i33]Qishuai Diao, Yi Jiang, Bin Wen, Jia Sun, Zehuan Yuan:
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition. CoRR abs/2203.02751 (2022) - [i32]Bo Yuan, Danpei Zhao, Shuai Shao, Zehuan Yuan, Changhu Wang:
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. CoRR abs/2204.02111 (2022) - [i31]Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan:
Masked Generative Distillation. CoRR abs/2205.01529 (2022) - [i30]Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu:
Towards Grand Unification of Object Tracking. CoRR abs/2207.07078 (2022) - [i29]Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu:
You Should Look at All Objects. CoRR abs/2207.07889 (2022) - [i28]Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou:
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. CoRR abs/2208.09023 (2022) - [i27]Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu:
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. CoRR abs/2209.04471 (2022) - [i26]Chuofan Ma, Qiushan Guo, Yi Jiang, Zehuan Yuan, Ping Luo, Xiaojuan Qi:
Rethinking Resolution in the Context of Efficient Video Recognition. CoRR abs/2209.12797 (2022) - [i25]Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong Mu:
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding. CoRR abs/2209.13306 (2022) - [i24]Hao Wang, Guosheng Lin, Ana Garcia del Molino, Anran Wang, Zehuan Yuan, Chunyan Miao, Jiashi Feng:
ManiCLIP: Multi-Attribute Face Manipulation from Text. CoRR abs/2210.00445 (2022) - [i23]Haosen Yang, Deng Huang, Bin Wen, Jiannan Wu, Hongxun Yao, Yi Jiang, Xiatian Zhu, Zehuan Yuan:
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders. CoRR abs/2210.04154 (2022) - [i22]Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu:
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning. CoRR abs/2210.04183 (2022) - [i21]Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai:
Learning Object-Language Alignments for Open-Vocabulary Object Detection. CoRR abs/2211.14843 (2022) - [i20]Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan:
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. CoRR abs/2212.07855 (2022) - 2021
- [c14]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. AAAI 2021: 7746-7753 - [c13]Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo:
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals. CVPR 2021: 14454-14463 - [c12]Wei Wang, Haochen Zhang, Zehuan Yuan, Changhu Wang:
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective. ICCV 2021: 4298-4307 - [c11]Chuang Lin, Zehuan Yuan, Sicheng Zhao, Peize Sun, Changhu Wang, Jianfei Cai:
Domain-Invariant Disentangled Network for Generalizable Object Detection. ICCV 2021: 8751-8760 - [c10]Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. ICCV 2021: 11986-11995 - [c9]Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng:
Exploring Balanced Feature Spaces for Representation Learning. ICLR 2021 - [c8]Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo:
What Makes for End-to-End Object Detection? ICML 2021: 9934-9944 - [c7]Xindi Shang, Zehuan Yuan, Anran Wang, Changhu Wang:
Multimodal Video Summarization via Time-Aware Transformers. ACM Multimedia 2021: 1756-1765 - [c6]Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu:
Disentangled Contrastive Learning on Graphs. NeurIPS 2021: 21872-21884 - [i19]Guanghao Yin, Wei Wang, Zehuan Yuan, Dongdong Yu, Shouqian Sun, Changhu Wang:
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations. CoRR abs/2104.03926 (2021) - [i18]Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang:
Center Prediction Loss for Re-identification. CoRR abs/2104.14746 (2021) - [i17]Zhenchao Jin, Dongdong Yu, Kai Su, Zehuan Yuan, Changhu Wang:
Memory Based Video Scene Parsing. CoRR abs/2109.00373 (2021) - [i16]Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. CoRR abs/2109.06109 (2021) - [i15]Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu:
Objects in Semantic Topology. CoRR abs/2110.02687 (2021) - [i14]Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang:
ByteTrack: Multi-Object Tracking by Associating Every Detection Box. CoRR abs/2110.06864 (2021) - [i13]Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan:
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation. CoRR abs/2111.05759 (2021) - [i12]Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan:
Focal and Global Knowledge Distillation for Detectors. CoRR abs/2111.11837 (2021) - [i11]Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo:
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. CoRR abs/2111.14690 (2021) - [i10]Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu:
Trimap-guided Feature Mining and Fusion Network for Natural Image Matting. CoRR abs/2112.00510 (2021) - 2020
- [c5]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CVPR 2020: 6428-6437 - [c4]Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang:
Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. CVPR 2020: 11801-11810 - [c3]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Moflowgan: Video Generation With Flow Guidance. ICME 2020: 1-6 - [i9]Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao:
Controllable Orthogonalization in Training DNNs. CoRR abs/2004.00917 (2020) - [i8]Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo:
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals. CoRR abs/2011.12450 (2020) - [i7]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. CoRR abs/2012.05660 (2020) - [i6]Peize Sun, Yi Jiang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo:
OneNet: Towards End-to-End One-Stage Object Detection. CoRR abs/2012.05780 (2020) - [i5]Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, Ping Luo:
TransTrack: Multiple-Object Tracking with Transformer. CoRR abs/2012.15460 (2020)
2010 – 2019
- 2019
- [i4]Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang:
Deformable Tube Network for Action Detection in Videos. CoRR abs/1907.01847 (2019) - [i3]Dongdong Yu, Zehuan Yuan, Jinlai Liu, Kun Yuan, Changhu Wang:
Towards Good Practices for Instance Segmentation. CoRR abs/1911.07939 (2019) - 2018
- [c2]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. ECCV Workshops (4) 2018: 145-152 - [c1]Jinlai Liu, Zehuan Yuan, Changhu Wang:
Towards Good Practices for Multi-modal Fusion in Large-Scale Video Classification. ECCV Workshops (4) 2018: 287-296 - [i2]Jinlai Liu, Zehuan Yuan, Changhu Wang:
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification. CoRR abs/1809.05848 (2018) - [i1]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. CoRR abs/1810.03821 (2018)
Coauthor Index
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