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ORCIDJie Qin 0004
Person information
- affiliation: Nanjing University of Aeronautics and Astronautics, Nanjing, China
Other persons with the same name
- Jie Qin — disambiguation page
- Jie Qin 0001
![[0000-0002-0550-457X]](https://images.weserv.nl/?url=https%3A%2F%2Fdblp.org%2Fimg%2Forcid-mark.12x12.png&q=12&output=webp&max-age=110 "0000-0002-0550-457X")
— Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China - Jie Qin 0002 — Ritsumeikan University, Kyoto, Japan
- Jie Qin 0003 — School of Liberal Arts, SCAD Hong Kong, Hong Kong, SAR, China
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2020 – today
- 2025
[j31]Yichao Yan, Junjie Li, Shengcai Liao, Jie Qin:
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification. Int. J. Autom. Comput. 22(2): 337-351 (2025)- [j30]Wentong Li, Yuqian Yuan, Jian Liu, Dongqi Tang, Song Wang, Jie Qin, Jianke Zhu, Lei Zhang:
TokenPacker: Efficient Visual Projector for Multimodal LLM. Int. J. Comput. Vis. 133(10): 6794-6812 (2025) - [j29]Junjie Li, Guanshuo Wang, Yichao Yan, Fufu Yu, Qiong Jia, Jie Qin, Shouhong Ding, Xiaokang Yang:
GPS: Generalizable Person Search on Large-Scale User-Generated Video Content. IEEE Trans. Circuits Syst. Video Technol. 35(6): 5461-5474 (2025) - [j28]Yao Yuan, Pan Gao, Qun Dai, Jie Qin, Wei Xiang:
Uncertainty-Guided Refinement for Fine-Grained Salient Object Detection. IEEE Trans. Image Process. 34: 2301-2314 (2025) - [j27]Yizhen Jia, Rong Quan, Haiyan Chen, Jiamei Liu, Yichao Yan, Song Bai, Jie Qin:
Disaggregation Distillation for Person Search. IEEE Trans. Multim. 27: 158-170 (2025) - [j26]Longteng Kong, Wanting Zhou, Yongjian Huai, Jie Qin:
Multi-Scale Reconstruction and Relation Decomposition Modeling for Group Activity Recognition. ACM Trans. Multim. Comput. Commun. Appl. 21(8): 234:1-234:23 (2025) - [c70]Yizhen Jia, Rong Quan, Yue Feng, Haiyan Chen, Jie Qin:
Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search. AAAI 2025: 3949-3957 - [c69]Wutao Liu, Yao Yuan, Pan Gao, Zheng Lin, Jie Qin:
ACGFormer: Attribute Classification Guided Transformer for Camouflaged Object Detection. PRCV (16) 2025: 113-127 - [c68]Qingzhi He, Yizhen Jia, Wentong Li, Shengcai Liao, Rong Quan, Tong Cui, Jie Qin:
Large Models are Good Annotators for Zero-Shot Learning. SIGIR 2025: 2764-2768 - [i48]Zhi Zuo, Chenyi Zhuang, Zhiqiang Shen, Pan Gao, Jie Qin:
Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos. CoRR abs/2504.04837 (2025) - [i47]Yao Yuan, Pan Gao, Qun Dai, Jie Qin, Wei Xiang:
Uncertainty Guided Refinement for Fine-Grained Salient Object Detection. CoRR abs/2504.09666 (2025) - [i46]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:
Perceiving and Acting in First-Person: A Dataset and Benchmark for Egocentric Human-Object-Human Interactions. CoRR abs/2508.04681 (2025) - [i45]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:
MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence. CoRR abs/2510.21406 (2025) - [i44]Lirui Zhang, Zhengkai Zhao, Zhi Zuo, Pan Gao, Jie Qin:
Simba: Towards High-Fidelity and Geometrically-Consistent Point Cloud Completion via Transformation Diffusion. CoRR abs/2511.16161 (2025) - 2024
- [j25]Wanting Zhou, Longteng Kong, Yushan Han, Jie Qin, Zhenan Sun:
Contextualized Relation Predictive Model for Self-Supervised Group Activity Representation Learning. IEEE Trans. Multim. 26: 353-366 (2024) - [c67]Qingguo Liu, Chenyi Zhuang, Pan Gao, Jie Qin:
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution. CVPR 2024: 7455-7464 - [c66]Sizhe Zheng, Pan Gao, Peng Zhou, Jie Qin:
Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network. CVPR 2024: 8059-8068 - [c65]Jinsong Shi, Pan Gao, Xiaojiang Peng, Jie Qin:
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment. ECCV (70) 2024: 1-17 - [c64]Dongni Lu, Jiaxuan Chen, Haiyan Chen, Ziyi Peng, Rong Quan, Jie Qin:
Camouflaged Object Detection Via Style Transfer-Based Data Augmentation. ICIP 2024: 2229-2235 - [c63]Tiancheng Ying, Rong Quan, Peng Zheng, Yichao Yan, Jie Qin:
MTA-PS: Towards Practical Person Search in Videos. ICIP 2024: 2459-2465 - [c62]Peng Zhou, Dunbo Cai, Yujian Du, Runqing Zhang, Bingbing Ni, Jie Qin, Ling Qian:
Edit3D: Elevating 3D Scene Editing with Attention-Driven Multi-Turn Interactivity. ACM Multimedia 2024: 3401-3410 - [c61]Longwu Yang, Haiyan Chen, Dongni Lu, Jie Qin:
ECLNet: A Compact Encoder-Decoder Network for Efficient Camouflaged Object Detection. PRCV (13) 2024: 62-76 - [c60]Liangxu Su, Rong Quan, Zhiyuan Qi, Jie Qin:
MACA: Memory-aided Coarse-to-fine Alignment for Text-based Person Search. SIGIR 2024: 2497-2501 - [i43]Jie Qin, Jie Wu, Weifeng Chen, Yuxi Ren, Huixia Li, Hefeng Wu, Xuefeng Xiao, Rui Wang, Shilei Wen:
DiffusionGPT: LLM-Driven Text-to-Image Generation System. CoRR abs/2401.10061 (2024) - [i42]Jing Xu, Wentao Shi, Sheng Ren, Pan Gao, Peng Zhou, Jie Qin:
Sparse Sampling is All You Need for Fast Wrong-way Cycling Detection in CCTV Videos. CoRR abs/2405.07293 (2024) - [i41]Tao Wu, Shuqiu Ge, Jie Qin, Gangshan Wu, Limin Wang:
Open-Vocabulary Spatio-Temporal Action Detection. CoRR abs/2405.10832 (2024) - 2023
- [j24]Yichao Yan, Jinpeng Li, Jie Qin, Peng Zheng, Shengcai Liao, Xiaokang Yang:
Efficient Person Search: An Anchor-Free Approach. Int. J. Comput. Vis. 131(7): 1642-1661 (2023) - [j23]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7001-7018 (2023) - [j22]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10173-10196 (2023) - [j21]Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Yu-Wing Tai, Chi-Keung Tang, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10929-10946 (2023) - [j20]Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao:
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Trans. Medical Imaging 42(11): 3194-3204 (2023) - [j19]Rui Gao, Xingsong Hou, Jie Qin, Yuming Shen, Yang Long, Li Liu, Zhao Zhang, Ling Shao:
Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning. IEEE Trans. Multim. 25: 1649-1664 (2023) - [c59]Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong:
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection. AAAI 2023: 3687-3695 - [c58]Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong:
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. CVPR 2023: 5557-5566 - [c57]Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Yuxi Ren, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang:
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation. CVPR 2023: 19446-19455 - [c56]Jie Qin, Peng Zheng, Yichao Yan, Rong Quan, Xiaogang Cheng, Bingbing Ni:
Movienet-PS: A Large-Scale Person Search Dataset in the Wild. ICASSP 2023: 1-5 - [c55]Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan:
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection. ICCV 2023: 6843-6853 - [c54]Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection. ICCV 2023: 6865-6874 - [c53]Yue Feng, Zhengye Zhang, Rong Quan, Limin Wang, Jie Qin:
RefineTAD: Learning Proposal-free Refinement for Temporal Action Detection. ACM Multimedia 2023: 135-143 - [c52]Shifeng Xia, Lin Geng, Ningzhong Liu, Han Sun, Jie Qin:
Lifelong Scene Text Recognizer via Expert Modules. ACM Multimedia 2023: 1821-1830 - [c51]Pan Gao, Haoyue Tian, Jie Qin:
Video Frame Interpolation with Flow Transformer. ACM Multimedia 2023: 1933-1942 - [i40]Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong:
Memory-aided Contrastive Consensus Learning for Co-salient Object Detection. CoRR abs/2302.14485 (2023) - [i39]Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao:
Self-Paced Learning for Open-Set Domain Adaptation. CoRR abs/2303.05933 (2023) - [i38]Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong:
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. CoRR abs/2303.14816 (2023) - [i37]Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Yuxi Ren, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang:
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation. CoRR abs/2303.17225 (2023) - [i36]Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan:
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection. CoRR abs/2307.11077 (2023) - [i35]Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection. CoRR abs/2308.10155 (2023) - [i34]Manlin Zhang, Jie Wu, Yuxi Ren, Ming Li, Jie Qin, Xuefeng Xiao, Wei Liu, Rui Wang, Min Zheng, Andy J. Ma:
DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection. CoRR abs/2309.03893 (2023) - [i33]Junjie Li, Guanshuo Wang, Yichao Yan, Fufu Yu, Qiong Jia, Jie Qin, Shouhong Ding, Xiaokang Yang:
Generalizable Person Search on Open-world User-Generated Video Content. CoRR abs/2310.10068 (2023) - 2022
- [j18]Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang, Nhat Hoang-Xuan, Chi-Bien Chu, Khoi-Nguyen Nguyen-Ngoc, Thien-Tri Cao, Nhat-Khang Ngô, Tuan-Luc Huynh, Hai-Dang Nguyen, Minh-Triet Tran, Haoyang Luo, Jianning Wang, Zheng Zhang, Zihao Xin, Yang Wang, Feng Wang, Ying Tang, Haiqin Chen, Yan Wang, Qunying Zhou, Ji Zhang, Hongyuan Wang:
SHREC'22 track: Sketch-based 3D shape retrieval in the wild. Comput. Graph. 107: 104-115 (2022) - [j17]Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao:
A Generalized Method for Binary Optimization: Convergence Analysis and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4524-4543 (2022) - [c50]Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. AAAI 2022: 2117-2125 - [c49]Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang:
Exploring Visual Context for Weakly Supervised Person Search. AAAI 2022: 3027-3035 - [c48]Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization. AAAI 2022: 3090-3098 - [c47]Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang:
Motion Sensitive Contrastive Learning for Self-supervised Video Representation. ECCV (35) 2022: 457-474 - [c46]Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang:
Multi-granularity Distillation Scheme Towards Lightweight Semi-supervised Semantic Segmentation. ECCV (30) 2022: 481-498 - [c45]Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles. ECCV (10) 2022: 494-511 - [c44]Jiahao Wang, Jie Qin, Yunhong Wang, Annan Li:
PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation. IJCAI 2022: 1423-1429 - [i32]Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham:
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR abs/2204.09138 (2022) - [i31]Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. CoRR abs/2205.15469 (2022) - [i30]Ming Li, Jie Wu, Jinhang Cai, Jie Qin, Yuxi Ren, Xuefeng Xiao, Min Zheng, Rui Wang, Xin Pan:
Parallel Pre-trained Transformers (PPT) for Synthetic Data-based Instance Segmentation. CoRR abs/2206.10845 (2022) - [i29]Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang, Nhat Hoang-Xuan, Chi-Bien Chu, Khoi-Nguyen Nguyen-Ngoc, Thien-Tri Cao, Nhat-Khang Ngô, Tuan-Luc Huynh, Hai-Dang Nguyen, Minh-Triet Tran, Haoyang Luo, Jianning Wang, Zheng Zhang, Zihao Xin, Yang Wang, Feng Wang, Ying Tang, Haiqin Chen, Yan Wang, Qunying Zhou, Ji Zhang, Hongyuan Wang:
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild. CoRR abs/2207.04945 (2022) - [i28]Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles. CoRR abs/2207.10172 (2022) - [i27]Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang:
Motion Sensitive Contrastive Learning for Self-supervised Video Representation. CoRR abs/2208.06105 (2022) - [i26]Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang:
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation. CoRR abs/2208.10169 (2022) - 2021
- [j16]Yuan Huang, Xingsong Hou, Yujie Dun, Jie Qin, Li Liu, Xueming Qian, Ling Shao:
Learning Deformable and Attentive Network for image restoration. Knowl. Based Syst. 231: 107384 (2021) - [j15]Mengshi Qi, Jie Qin, Yi Yang, Yunhong Wang, Jiebo Luo:
Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval. IEEE Trans. Image Process. 30: 2989-3004 (2021) - [c43]Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. AAAI 2021: 9594-9602 - [c42]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. CVPR 2021: 2165-2174 - [c41]Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CVPR 2021: 7690-7699 - [c40]Zichen Yang, Di Huang, Jie Qin, Yunhong Wang:
Human-Aware Coarse-to-Fine Online Action Detection. ICASSP 2021: 2455-2459 - [c39]Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. ICCV 2021: 15984-15993 - [c38]Jingcheng Ni, Jie Qin, Di Huang:
Identity-aware Graph Memory Network for Action Detection. ACM Multimedia 2021: 3437-3445 - [c37]Mengshi Qi, Jie Qin, Di Huang, Zhiqiang Shen, Yi Yang, Jiebo Luo:
Latent Memory-augmented Graph Transformer for Visual Storytelling. ACM Multimedia 2021: 4892-4901 - [c36]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. NeurIPS 2021: 27734-27746 - [i25]Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. CoRR abs/2102.03983 (2021) - [i24]Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides:
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration. CoRR abs/2102.08946 (2021) - [i23]Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. CoRR abs/2103.01055 (2021) - [i22]Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CoRR abs/2103.11617 (2021) - [i21]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. CoRR abs/2104.14236 (2021) - [i20]Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CoRR abs/2104.14913 (2021) - [i19]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. CoRR abs/2106.01908 (2021) - [i18]Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang, Ling Shao:
Exploring Visual Context for Weakly Supervised Person Search. CoRR abs/2106.10506 (2021) - [i17]Jingcheng Ni, Jie Qin, Di Huang:
Identity-aware Graph Memory Network for Action Detection. CoRR abs/2108.11559 (2021) - [i16]Yichao Yan, Jinpeng Li, Jie Qin, Shengcai Liao, Xiaokang Yang:
Efficient Person Search: An Anchor-Free Approach. CoRR abs/2109.00211 (2021) - [i15]Yichao Yan, Junjie Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang:
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification. CoRR abs/2111.14290 (2021) - [i14]Peng Zheng, Jie Qin, Yichao Yan, Shengcai Liao, Bingbing Ni, Xiaogang Cheng, Ling Shao:
Global-Local Context Network for Person Search. CoRR abs/2112.02500 (2021) - [i13]Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. CoRR abs/2112.08996 (2021) - [i12]Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization. CoRR abs/2112.10977 (2021) - 2020
- [j14]Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool:
Efficient Visual Recognition. Int. J. Comput. Vis. 128(8): 1997-2001 (2020) - [j13]Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao:
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. 105: 107317 (2020) - [j12]Longteng Kong, Di Huang, Jie Qin, Yunhong Wang:
A Joint Framework for Athlete Tracking and Action Recognition in Sports Videos. IEEE Trans. Circuits Syst. Video Technol. 30(2): 532-548 (2020) - [j11]Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li, Jiebo Luo, Luc Van Gool:
stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(2): 549-565 (2020) - [j10]Rui Gao, Xingsong Hou, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Zhao Zhang, Ling Shao:
Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning. IEEE Trans. Image Process. 29: 3665-3680 (2020) - [j9]Zhengming Li, Zheng Zhang, Jie Qin, Zhao Zhang, Ling Shao:
Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(3): 786-800 (2020) - [c35]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CVPR 2020: 2815-2824 - [c34]Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. CVPR 2020: 2896-2905 - [c33]Mengshi Qi, Jie Qin, Yu Wu, Yi Yang:
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation. CVPR 2020: 12733-12742 - [c32]Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang:
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. ECAI 2020: 1706-1713 - [c31]Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao:
Learning Attentive and Hierarchical Representations for 3D Shape Recognition. ECCV (15) 2020: 105-122 - [c30]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs. ECCV (2) 2020: 384-401 - [c29]Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao:
Region Graph Embedding Network for Zero-Shot Learning. ECCV (4) 2020: 562-580 - [c28]Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Invertible Zero-Shot Recognition Flows. ECCV (16) 2020: 614-631 - [c27]Mengshi Qi, Jie Qin, Xiantong Zhen, Di Huang, Yi Yang, Jiebo Luo:
Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks. ACM Multimedia 2020: 3007-3015 - [c26]Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Deep Local Binary Coding for Person Re-Identification by Delving into the Details. ACM Multimedia 2020: 3034-3043 - [i11]Zhao Zhang, Zemin Tang, Yang Wang, Jie Qin, Zhengjun Zha, Shuicheng Yan:
Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition. CoRR abs/2001.09021 (2020) - [i10]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i9]Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. CoRR abs/2002.11930 (2020) - [i8]Yuming Shen, Jie Qin, Lei Huang:
Invertible Zero-Shot Recognition Flows. CoRR abs/2007.04873 (2020) - [i7]Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. CoRR abs/2009.12836 (2020)
2010 – 2019
- 2019
- [j8]Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai:
Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality. Neural Networks 119: 93-112 (2019) - [j7]Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan:
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowl. Data Eng. 31(12): 2423-2440 (2019) - [c25]Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao:
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing. CVPR 2019: 791-800 - [c24]Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li:
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing. CVPR 2019: 5237-5246 - [c23]Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao:
Attentive Region Embedding Network for Zero-Shot Learning. CVPR 2019: 9384-9393 - [c22]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen:
Embarrassingly Simple Binary Representation Learning. ICCV Workshops 2019: 2883-2892 - [c21]Jiehao Xu, Chengyu Guo, Qingjie Liu, Jie Qin, Yunhong Wang, Li Liu:
DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function. ICCV Workshops 2019: 3054-3062 - [c20]Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool:
Adversarial Binary Coding for Efficient Person Re-Identification. ICME 2019: 700-705 - [c19]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI 2019: 4376-4382 - [i6]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. CoRR abs/1905.10568 (2019) - [i5]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. CoRR abs/1905.11543 (2019) - [i4]Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu:
Embarrassingly Simple Binary Representation Learning. CoRR abs/1908.09573 (2019) - [i3]Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang:
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. CoRR abs/1912.06446 (2019) - 2018
- [j6]Yan Zhang, Zhao Zhang, Jie Qin, Li Zhang, Bing Li, Fanzhang Li:
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. Pattern Recognit. 76: 662-678 (2018) - [j5]Zhao Zhang, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang, Shuicheng Yan:
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3388-3403 (2018) - [j4]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3798-3814 (2018) - [c18]Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool:
stagNet: An Attentive Semantic RNN for Group Activity Recognition. ECCV (10) 2018: 104-120 - [c17]Diwen Wan, Fumin Shen, Li Liu, Fan Zhu, Jie Qin, Ling Shao, Heng Tao Shen:
TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights. ECCV (2) 2018: 322-339 - [c16]Rui Gao, Xingsong Hou, Jie Qin, Li Liu, Fan Zhu, Zhao Zhang:
A Joint Generative Model for Zero-Shot Learning. ECCV Workshops (4) 2018: 631-646 - [c15]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. ECCV (12) 2018: 731-748 - [c14]Longteng Kong, Jie Qin, Di Huang, Yunhong Wang, Luc Van Gool:
Hierarchical Attention and Context Modeling for Group Activity Recognition. ICASSP 2018: 1328-1332 - [c13]Lei Wang, Zhao Zhang, Guangcan Liu, Qiaolin Ye, Jie Qin, Meng Wang:
Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation. ICPR 2018: 800-805 - [c12]Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan:
Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. ICPR 2018: 1664-1669 - [c11]Zemin Tang, Zhao Zhang, Xiao-hu Ma, Jie Qin, Mingbo Zhao:
Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification. PCM (1) 2018: 357-369 - [c10]Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin:
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) 2018: 71-84 - [i2]Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool:
Adversarial Binary Coding for Efficient Person Re-identification. CoRR abs/1803.10914 (2018) - [i1]Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. CoRR abs/1809.05992 (2018) - 2017
- [j3]Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast action retrieval from videos via feature disaggregation. Comput. Vis. Image Underst. 156: 104-116 (2017) - [c9]Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang:
Zero-Shot Action Recognition with Error-Correcting Output Codes. CVPR 2017: 1042-1051 - [c8]Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao:
Fast Person Re-identification via Cross-Camera Semantic Binary Transformation. CVPR 2017: 5330-5339 - [c7]Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang:
Binary Coding for Partial Action Analysis with Limited Observation Ratios. CVPR 2017: 6728-6737 - [c6]Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan:
Robust Projective Dictionary Learning by Joint Label Embedding and Classification. ICDM Workshops 2017: 510-517 - 2016
- [j2]Jie Qin, Yunhong Wang, Li Liu, Jiaxin Chen, Ling Shao:
Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition. IEEE Signal Process. Lett. 23(11): 1667-1671 (2016) - [j1]Jie Qin, Li Liu, Zhaoxiang Zhang, Yunhong Wang, Ling Shao:
Compressive Sequential Learning for Action Similarity Labeling. IEEE Trans. Image Process. 25(2): 756-769 (2016) - [c5]Zhihong Dong, Jie Qin, Yunhong Wang:
Multi-stream Deep Networks for Person to Person Violence Detection in Videos. CCPR (1) 2016: 517-531 - 2015
- [c4]Jie Qin, Li Liu, Mengyang Yu, Yunhong Wang, Ling Shao:
Fast Action Retrieval from Videos via Feature Disaggregation. BMVC 2015: 180.1-180.11 - 2014
- [c3]Xin Sun, Di Huang, Yunhong Wang, Jie Qin:
Action recognition based on kinematic representation of video data. ICIP 2014: 1530-1534 - [c2]Zhaoxiang Zhang, Jie Qin, Yunhong Wang, Meng Liang:
Object Classification in Traffic Scene Surveillance Based on Online Semi-supervised Active Learning. ICPR 2014: 3086-3091 - 2013
- [c1]Jie Qin, Zhaoxiang Zhang, Yunhong Wang:
Cross-view action recognition via transductive transfer learning. ICIP 2013: 3582-3586
Coauthor Index
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