Zhongdao Wang

According to our database, Zhongdao Wang authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

OccFiner: Offboard Occupancy Refinement with Hybrid Propagation.

Hao Shi, Song Wang, Jiaming Zhang, Xiaoting Yin, Zhongdao Wang, Zhijian Zhao, Guangming Wang, Jianke Zhu, Kailun Yang, Kaiwei Wang

CoRR, 2024

PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li

CoRR, 2024

Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation.

Zhenyu Wang, Enze Xie, Aoxue Li, Zhongdao Wang, Xihui Liu, Zhenguo Li

CoRR, 2024

2023

A Study of Using Synthetic Data for Effective Association Knowledge Learning.

Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng

Mach. Intell. Res., April, 2023

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li

CoRR, 2023

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.

Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo

CoRR, 2023

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation.

Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification.

Zhaopeng Dou, Zhongdao Wang, Yali Li, Shengjin Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking.

Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng

IEEE Trans. Image Process., 2022

Generalizable Re-Identification from Videos with Cycle Association.

Zhongdao Wang, Zhaopeng Dou, Jingwei Zhang, Liang Zheng, Yifan Sun, Yali Li, Shengjin Wang

CoRR, 2022

Self-Supervised Learning via Maximum Entropy Coding.

Xin Liu, Zhongdao Wang, Yali Li, Shengjin Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Progressive-Granularity Retrieval Via Hierarchical Feature Alignment for Person Re-Identification.

Zhaopeng Dou, Zhongdao Wang, Yali Li, Shengjin Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?

Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng

Proceedings of the Computer Vision - ECCV 2022, 2022

Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval.

Zhaopeng Dou, Zhongdao Wang, Weihua Chen, Yali Li, Shengjin Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset).

Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng

CoRR, 2021

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking.

Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng

CoRR, 2021

Do Different Tracking Tasks Require Different Appearance Models?

Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip H. S. Torr, Luca Bertinetto

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Node-Adaptive Multi-Graph Fusion Using Extreme Value Theory.

Jingwei Zhang, Zhongdao Wang, Yali Li, Shengjin Wang

IEEE Signal Process. Lett., 2020

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions.

Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Real-Time Multi-Object Tracking.

Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, Shengjin Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Circle Loss: A Unified Perspective of Pair Similarity Optimization.

Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning.

Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking.

Yunzhong Hou, Liang Zheng, Zhongdao Wang, Shengjin Wang

CoRR, 2019

Towards Real-Time Multi-Object Tracking.

Zhongdao Wang, Liang Zheng, Yixuan Liu, Shengjin Wang

CoRR, 2019

Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning.

Lanqing He, Zhongdao Wang, Yali Li, Shengjin Wang

CoRR, 2019

Linkage Based Face Clustering via Graph Convolution Network.

Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Query Adaptive Late Fusion for Image Retrieval.

Zhongdao Wang, Liang Zheng, Shengjin Wang

CoRR, 2018

2017

Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.

Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang

Proceedings of the IEEE International Conference on Computer Vision, 2017