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Zhongdao Wang
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2020 – today
- 2024
- [c17]Pin Tang, Zhongdao Wang, Guoqing Wang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, Chao Ma:
SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction. CVPR 2024: 15035-15044 - [c16]Fei Xie, Zhongdao Wang, Chao Ma:
DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking. CVPR 2024: 19113-19124 - [c15]Jianhao Li, Tianyu Sun, Zhongdao Wang, Enze Xie, Bailan Feng, Hongbo Zhang, Ze Yuan, Ke Xu, Jiaheng Liu, Ping Luo:
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts. ECCV (84) 2024: 407-423 - [c14]Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. ICLR 2024 - [i25]Zhenyu Wang, Enze Xie, Aoxue Li, Zhongdao Wang, Xihui Liu, Zhenguo Li:
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation. CoRR abs/2401.15688 (2024) - [i24]Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation. CoRR abs/2403.04692 (2024) - [i23]Hao Shi, Song Wang, Jiaming Zhang, Xiaoting Yin, Zhongdao Wang, Zhijian Zhao, Guangming Wang, Jianke Zhu, Kailun Yang, Kaiwei Wang:
OccFiner: Offboard Occupancy Refinement with Hybrid Propagation. CoRR abs/2403.08504 (2024) - [i22]Pin Tang, Zhongdao Wang, Guoqing Wang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, Chao Ma:
SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction. CoRR abs/2404.09502 (2024) - [i21]Guoqing Wang, Zhongdao Wang, Pin Tang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, Chao Ma:
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving. CoRR abs/2404.15014 (2024) - [i20]Jianhao Li, Tianyu Sun, Zhongdao Wang, Enze Xie, Bailan Feng, Hongbo Zhang, Ze Yuan, Ke Xu, Jiaheng Liu, Ping Luo:
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts. CoRR abs/2407.11382 (2024) - [i19]Jilai Zheng, Pin Tang, Zhongdao Wang, Guoqing Wang, Xiangxuan Ren, Bailan Feng, Chao Ma:
VEON: Vocabulary-Enhanced Occupancy Prediction. CoRR abs/2407.12294 (2024) - [i18]Mingkang Zhu, Xi Chen, Zhongdao Wang, Hengshuang Zhao, Jiaya Jia:
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation. CoRR abs/2407.13752 (2024) - 2023
- [j3]Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng:
A Study of Using Synthetic Data for Effective Association Knowledge Learning. Mach. Intell. Res. 20(2): 194-206 (2023) - [c13]Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo:
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation. ICCV 2023: 8687-8697 - [c12]Zhaopeng Dou, Zhongdao Wang, Yali Li, Shengjin Wang:
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification. ICCV 2023: 15801-15812 - [i17]Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo:
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation. CoRR abs/2304.09801 (2023) - [i16]Zhaopeng Dou, Zhongdao Wang, Yali Li, Shengjin Wang:
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification. CoRR abs/2308.08887 (2023) - [i15]Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. CoRR abs/2310.00426 (2023) - 2022
- [j2]Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng:
Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. IEEE Trans. Image Process. 31: 612-622 (2022) - [c11]Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng:
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? ECCV (8) 2022: 38-55 - [c10]Zhaopeng Dou, Zhongdao Wang, Weihua Chen, Yali Li, Shengjin Wang:
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval. ECCV (14) 2022: 588-605 - [c9]Zhaopeng Dou, Zhongdao Wang, Yali Li, Shengjin Wang:
Progressive-Granularity Retrieval Via Hierarchical Feature Alignment for Person Re-Identification. ICASSP 2022: 2714-2718 - [c8]Xin Liu, Zhongdao Wang, Yali Li, Shengjin Wang:
Self-Supervised Learning via Maximum Entropy Coding. NeurIPS 2022 - [i14]Xin Liu, Zhongdao Wang, Yali Li, Shengjin Wang:
Self-Supervised Learning via Maximum Entropy Coding. CoRR abs/2210.11464 (2022) - [i13]Zhaopeng Dou, Zhongdao Wang, Weihua Chen, Yali Li, Shengjin Wang:
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval. CoRR abs/2210.13440 (2022) - [i12]Zhongdao Wang, Zhaopeng Dou, Jingwei Zhang, Liang Zheng, Yifan Sun, Yali Li, Shengjin Wang:
Generalizable Re-Identification from Videos with Cycle Association. CoRR abs/2211.03663 (2022) - 2021
- [c7]Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip H. S. Torr, Luca Bertinetto:
Do Different Tracking Tasks Require Different Appearance Models? NeurIPS 2021: 726-738 - [i11]Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng:
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking. CoRR abs/2106.16100 (2021) - [i10]Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip H. S. Torr, Luca Bertinetto:
Do Different Tracking Tasks Require Different Appearance Models? CoRR abs/2107.02156 (2021) - [i9]Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng:
Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset). CoRR abs/2112.01730 (2021) - [i8]Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng:
Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. CoRR abs/2112.07664 (2021) - 2020
- [j1]Jingwei Zhang, Zhongdao Wang, Yali Li, Shengjin Wang:
Node-Adaptive Multi-Graph Fusion Using Extreme Value Theory. IEEE Signal Process. Lett. 27: 351-355 (2020) - [c6]Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang:
Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning. AAAI 2020: 10957-10964 - [c5]Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei:
Circle Loss: A Unified Perspective of Pair Similarity Optimization. CVPR 2020: 6397-6406 - [c4]Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang:
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions. ECCV (11) 2020: 72-88 - [c3]Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, Shengjin Wang:
Towards Real-Time Multi-Object Tracking. ECCV (11) 2020: 107-122 - [i7]Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei:
Circle Loss: A Unified Perspective of Pair Similarity Optimization. CoRR abs/2002.10857 (2020) - [i6]Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang:
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions. CoRR abs/2007.07577 (2020)
2010 – 2019
- 2019
- [c2]Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang:
Linkage Based Face Clustering via Graph Convolution Network. CVPR 2019: 1117-1125 - [i5]Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang:
Linkage Based Face Clustering via Graph Convolution Network. CoRR abs/1903.11306 (2019) - [i4]Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang:
Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning. CoRR abs/1908.01281 (2019) - [i3]Zhongdao Wang, Liang Zheng, Yixuan Liu, Shengjin Wang:
Towards Real-Time Multi-Object Tracking. CoRR abs/1909.12605 (2019) - [i2]Yunzhong Hou, Liang Zheng, Zhongdao Wang, Shengjin Wang:
Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking. CoRR abs/1911.12037 (2019) - 2018
- [i1]Zhongdao Wang, Liang Zheng, Shengjin Wang:
Query Adaptive Late Fusion for Image Retrieval. CoRR abs/1810.13103 (2018) - 2017
- [c1]Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang:
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification. ICCV 2017: 379-387
Coauthor Index
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last updated on 2024-11-11 21:23 CET by the dblp team
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