Rui Zhao

According to our database, Rui Zhao authored at least 69 papers between 2010 and 2024.

Collaborative distances:

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

2024

Structured Domain Adaptation With Online Relation Regularization for Unsupervised Person Re-ID.

Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li

IEEE Trans. Neural Networks Learn. Syst., January, 2024

DragAnything: Motion Control for Anything using Entity Representation.

Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang

CoRR, 2024

2023

COCAS+: Large-Scale Clothes-Changing Person Re-Identification With Clothes Templates.

Shihua Li, Haobin Chen, Shijie Yu, Zhiqun He, Feng Zhu, Rui Zhao, Jie Chen, Yu Qiao

IEEE Trans. Circuits Syst. Video Technol., April, 2023

AutoMA: Towards Automatic Model Augmentation for Transferable Adversarial Attacks.

Haojie Yuan, Qi Chu, Feng Zhu, Rui Zhao, Bin Liu, Nenghai Yu

IEEE Trans. Multim., 2023

Hulk: A Universal Knowledge Translator for Human-Centric Tasks.

Yizhou Wang, Yixuan Wu, Shixiang Tang, Weizhen He, Xun Guo, Feng Zhu, Lei Bai, Rui Zhao, Jian Wu, Tong He, Wanli Ouyang

CoRR, 2023

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy.

Qianxiong Xu, Cheng Long, Ziyue Li, Sijie Ruan, Rui Zhao, Zhishuai Li

CoRR, 2023

Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain.

Guanghu Sui, Zhishuai Li, Ziyue Li, Sun Yang, Jingqing Ruan, Hangyu Mao, Rui Zhao

CoRR, 2023

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

David Junhao Zhang, Jay Zhangjie Wu, Jia-Wei Liu, Rui Zhao, Lingmin Ran, Yuchao Gu, Difei Gao, Mike Zheng Shou

CoRR, 2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models.

Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen

CoRR, 2023

Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities.

Kaijian Liu, Shixiang Tang, Ziyue Li, Zhishuai Li, Lei Bai, Feng Zhu, Rui Zhao

CoRR, 2023

Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, Rui Zhao

CoRR, 2023

Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions.

Weizhen He, Shixiang Tang, Yiheng Deng, Qihao Chen, Qingsong Xie, Yizhou Wang, Lei Bai, Feng Zhu, Rui Zhao, Wanli Ouyang, Donglian Qi, Yunfeng Yan

CoRR, 2023

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

CoRR, 2023

Advancing Referring Expression Segmentation Beyond Single Image.

Yixuan Wu, Zhao Zhang, Xie Chi, Feng Zhu, Rui Zhao

CoRR, 2023

Better Aligning Text-to-Image Models with Human Preference.

Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li

CoRR, 2023

CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching.

Xiaoshi Wu, Feng Zhu, Rui Zhao, Hongsheng Li

CoRR, 2023

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining.

Shixiang Tang, Cheng Chen, Qingsong Xie, Meilin Chen, Yizhou Wang, Yuanzheng Ci, Lei Bai, Feng Zhu, Haiyang Yang, Li Yi, Rui Zhao, Wanli Ouyang

CoRR, 2023

Saliency Guided Contrastive Learning on Scene Images.

Meilin Chen, Yizhou Wang, Shixiang Tang, Feng Zhu, Haiyang Yang, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang

CoRR, 2023

MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis.

Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning.

Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining.

Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization.

Haiyang Yang, Xiaotong Li, Shixiang Tang, Feng Zhu, Yizhou Wang, Meilin Chen, Lei Bai, Rui Zhao, Wanli Ouyang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Trust Your Partner's Friends: Hierarchical Cross-Modal Contrastive Pre-Training for Video-Text Retrieval.

Yuhan Xiang, Kaijian Liu, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Xianming Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery.

Dedong Li, Ziyue Li, Zhishuai Li, Lei Bai, Qingyuan Gong, Lijun Sun, Wolfgang Ketter, Rui Zhao

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2023

UniHCP: A Unified Model for Human-Centric Perceptions.

Yuanzheng Ci, Yizhou Wang, Meilin Chen, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Fengwei Yu, Donglian Qi, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping.

Luxuan Wang, Lei Bai, Ziyue Li, Rui Zhao, Fugee Tsung

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Dynamic Causal Graph Convolutional Network for Traffic Prediction.

Junpeng Lin, Ziyue Li, Zhishuai Li, Lei Bai, Rui Zhao, Chen Zhang

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

DOTIN: Dropping Task-Irrelevant Nodes for GNNs.

Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang

CoRR, 2022

Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning.

Yizhou Wang, Meilin Chen, Shixiang Tang, Feng Zhu, Haiyang Yang, Lei Bai, Rui Zhao, Yunfeng Yan, Donglian Qi, Wanli Ouyang

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

Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning.

Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains.

Haiyang Yang, Shixiang Tang, Meilin Chen, Yizhou Wang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang

Proceedings of the Computer Vision - ECCV 2022, 2022

Relative Contrastive Loss for Unsupervised Representation Learning.

Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang

Proceedings of the Computer Vision - ECCV 2022, 2022

Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective.

Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Chenyu Wang, Wanli Ouyang

Proceedings of the Computer Vision - ECCV 2022, 2022

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification.

Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu

Proceedings of the Computer Vision - ECCV 2022, 2022

Align Representations with Base: A New Approach to Self-Supervised Learning.

Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Feature Erasing and Diffusion Network for Occluded Person Re-Identification.

Zhikang Wang, Feng Zhu, Shixiang Tang, Rui Zhao, Lihuo He, Jiangning Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting the Transferability of Supervised Pretraining: an MLP Perspective.

Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Jointly Contrastive Representation Learning on Road Network and Trajectory.

Zhenyu Mao, Ziyue Li, Dedong Li, Lei Bai, Rui Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification.

Shijie Yu, Feng Zhu, Dapeng Chen, Rui Zhao, Haobin Chen, Shixiang Tang, Jinguo Zhu, Yu Qiao

CoRR, 2021

Neighbourhood-guided Feature Reconstruction for Occluded Person Re-Identification.

Shijie Yu, Dapeng Chen, Rui Zhao, Haobin Chen, Yu Qiao

CoRR, 2021

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification.

Yixiao Ge, Ching Lam Choi, Xiao Zhang, Peipei Zhao, Feng Zhu, Rui Zhao, Hongsheng Li

CoRR, 2021

Consensus-Guided Correspondence Denoising.

Chen Zhao, Yixiao Ge, Jiaqi Yang, Feng Zhu, Rui Zhao, Hongsheng Li

CoRR, 2021

Continual Representation Learning for Biometric Identification.

Bo Zhao, Shixiang Tang, Dapeng Chen, Hakan Bilen, Rui Zhao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Efficient Open-Set Adversarial Attacks on Deep Face Recognition.

Haojie Yuan, Qi Chu, Feng Zhu, Rui Zhao, Bin Liu, Nenghai Yu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Improving Facial Attribute Recognition by Group and Graph Learning.

Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Progressive Correspondence Pruning by Consensus Learning.

Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Structured Domain Adaptation for Unsupervised Person Re-identification.

Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li

CoRR, 2020

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Hongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax.

Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2020, 2020

Self-supervising Fine-Grained Region Similarities for Large-Scale Image Localization.

Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li

Proceedings of the Computer Vision - ECCV 2020, 2020

COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification.

Shijie Yu, Shihua Li, Dapeng Chen, Rui Zhao, Junjie Yan, Yu Qiao

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

Learning to Cluster Faces via Confidence and Connectivity Estimation.

Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin

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

Density-Aware Feature Embedding for Face Clustering.

Senhui Guo, Jing Xu, Dapeng Chen, Chao Zhang, Xiaogang Wang, Rui Zhao

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

2019

Memory-Based Neighbourhood Embedding for Visual Recognition.

Suichan Li, Dapeng Chen, Bin Liu, Nenghai Yu, Rui Zhao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations.

Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li

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

P2SGrad: Refined Gradients for Optimizing Deep Face Models.

Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li

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

2018

Attention-Aware Compositional Network for Person Re-Identification.

Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Person Re-Identification by Saliency Learning.

Rui Zhao, Wanli Ouyang, Xiaogang Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks.

Zhuoyi Zhao, Hongsheng Li, Rui Zhao, Xiaogang Wang

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Saliency detection by multi-context deep learning.

Rui Zhao, Wanli Ouyang, Hongsheng Li, Xiaogang Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Person Re-identification: System Design and Evaluation Overview.

Xiaogang Wang, Rui Zhao

Proceedings of the Person Re-Identification, 2014

Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification.

Hongsheng Li, Rui Zhao, Xiaogang Wang

CoRR, 2014

Learning Mid-level Filters for Person Re-identification.

Rui Zhao, Wanli Ouyang, Xiaogang Wang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

DeepReID: Deep Filter Pairing Neural Network for Person Re-identification.

Wei Li, Rui Zhao, Tong Xiao, Xiaogang Wang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Counting Vehicles from Semantic Regions.

Rui Zhao, Xiaogang Wang

IEEE Trans. Intell. Transp. Syst., 2013

Person Re-identification by Salience Matching.

Rui Zhao, Wanli Ouyang, Xiaogang Wang

Proceedings of the IEEE International Conference on Computer Vision, 2013

Unsupervised Salience Learning for Person Re-identification.

Rui Zhao, Wanli Ouyang, Xiaogang Wang

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Human Reidentification with Transferred Metric Learning.

Wei Li, Rui Zhao, Xiaogang Wang

Proceedings of the Computer Vision - ACCV 2012, 2012

2010

SVD based linear filtering in DCT domain.

Liansheng Zhuang, Rui Zhao, Nenghai Yu, Bin Liu

Proceedings of the International Conference on Image Processing, 2010