Qin, Jie

46 publications

AAAI 2025 Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search Yizhen Jia, Rong Quan, Yue Feng, Haiyan Chen, Jie Qin

NeurIPS 2025 MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence Yue Feng, Jinwei Hu, Qijia Lu, Jiawei Niu, Li Tan, Shuo Yuan, Ziyi Yan, Yizhen Jia, Qingzhi He, Shiping Ge, Ethan Q. Chen, Wentong Li, Limin Wang, Jie Qin

NeurIPS 2025 MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection Shengtian Yang, Yue Feng, Yingshi Liu, Jingrou Zhang, Jie Qin

ICCV 2025 Perceiving and Acting in First-Person: A Dataset and Benchmark for Egocentric Human-Object-Human Interactions Liang Xu, Chengqun Yang, Zili Lin, Fei Xu, Yifan Liu, Congsheng Xu, Yiyi Zhang, Jie Qin, Xingdong Sheng, Yunhui Liu, Xin Jin, Yichao Yan, Wenjun Zeng, Xiaokang Yang

NeurIPS 2025 VITRIX-UniViTAR: Unified Vision Transformer with Native Resolution Limeng Qiao, Yiyang Gan, Bairui Wang, Jie Qin, Shuang Xu, Siqi Yang, Lin Ma

CVPR 2024 CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution Qingguo Liu, Chenyi Zhuang, Pan Gao, Jie Qin

IJCAI 2024 Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation Jiayi Chen, Rong Quan, Jie Qin

ECCV 2024 DSMix: Distortion-Induced Saliency mAP Based Pre-Training for No-Reference Image Quality Assessment Jinsong Shi, Pan Gao, Xiaojiang Peng, Jie Qin

CVPR 2024 Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network Sizhe Zheng, Pan Gao, Peng Zhou, Jie Qin

AAAI 2024 Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation Xiaoyi Bao, Jie Qin, Siyang Sun, Xingang Wang, Yun Zheng

AAAI 2024 Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning Jinsong Shi, Pan Gao, Jie Qin

IJCAI 2024 Unified Unsupervised Salient Object Detection via Knowledge Transfer Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin

ECCV 2024 WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models Xin-Jian Wu, Ruisong Zhang, Jie Qin, Shijie Ma, Cheng-Lin Liu

ICCV 2023 AlignDet: Aligning Pre-Training and Fine-Tuning in Object Detection Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan

CVPR 2023 Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong

CVPR 2023 FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang

AAAI 2023 Memory-Aided Contrastive Consensus Learning for Co-Salient Object Detection Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong

AAAI 2023 Multi-Classifier Adversarial Optimization for Active Learning Lin Geng, Ningzhong Liu, Jie Qin

ICCV 2023 Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang

AAAI 2022 ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization Zichen Yang, Jie Qin, Di Huang

AAAI 2022 Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang

AAAI 2022 Exploring Visual Context for Weakly Supervised Person Search Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang

ECCV 2022 Motion Sensitive Contrastive Learning for Self-Supervised Video Representation Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang

ECCV 2022 Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang

IJCAI 2022 PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation Jiahao Wang, Jie Qin, Yunhong Wang, Annan Li

ECCV 2022 Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang

CVPR 2021 Anchor-Free Person Search Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao

ICCV 2021 P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham

AAAI 2021 Partial Is Better than All: Revisiting Fine-Tuning Strategy for Few-Shot Learning Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

CVPR 2021 S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides

NeurIPS 2021 You Never Cluster Alone Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip Torr, Ling Shao

ECCV 2020 Invertible Zero-Shot Recognition Flows Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao

ECCV 2020 Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

ECCV 2020 Learning Attentive and Hierarchical Representations for 3D Shape Recognition Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao

ECCV 2020 Region Graph Embedding Network for Zero-Shot Learning Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao

ICCVW 2019 DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function Jiehao Xu, Chengyu Guo, Qingjie Liu, Jie Qin, Yunhong Wang, Li Liu

ICCVW 2019 Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen

IJCAI 2019 Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin

ECCVW 2018 A Joint Generative Model for Zero-Shot Learning Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang

ECCV 2018 Highly-Economized Multi-View Binary Compression for Scalable Image Clustering Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen

ECCV 2018 TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, Heng Tao Shen

ECCV 2018 stagNet: An Attentive Semantic RNN for Group Activity Recognition Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool

CVPR 2017 Binary Coding for Partial Action Analysis with Limited Observation Ratios Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang

CVPR 2017 Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao

CVPR 2017 Zero-Shot Action Recognition with Error-Correcting Output Codes Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang

IJCAI 2015 Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm Huaping Liu, Jie Qin, Hong Cheng, Fuchun Sun