Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJie Qin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j52]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)- [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [c80]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 - [c79]Lin Geng, Ningzhong Liu, Jie Qin:
Multi-Classifier Adversarial Optimization for Active Learning. AAAI 2023: 7687-7695 - [c78]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 - [c77]Jie Qin, Yueming Lyu, Xingang Wang:
Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation. ECAI 2023: 1906-1913 - [c76]Zhiheng Hu, Yongzhen Wang, Peng Li, Jie Qin, Haoran Xie, Mingqiang Wei:
ISmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection. ICASSP 2023: 1-5 - [c75]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 - [c74]Yue Feng, Zhengye Zhang, Rong Quan, Limin Wang, Jie Qin:
RefineTAD: Learning Proposal-free Refinement for Temporal Action Detection. ACM Multimedia 2023: 135-143 - [c73]Shifeng Xia, Lin Geng, Ningzhong Liu, Han Sun, Jie Qin:
Lifelong Scene Text Recognizer via Expert Modules. ACM Multimedia 2023: 1821-1830 - [c72]Pan Gao, Haoyue Tian, Jie Qin:
Video Frame Interpolation with Flow Transformer. ACM Multimedia 2023: 1933-1942 - [i45]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) - [i44]Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao:
Self-Paced Learning for Open-Set Domain Adaptation. CoRR abs/2303.05933 (2023) - [i43]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) - [i42]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) - [i41]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) - [i40]Pan Gao, Haoyue Tian, Jie Qin:
Video Frame Interpolation with Flow Transformer. CoRR abs/2307.16144 (2023) - [i39]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) - [i38]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) - [i37]Jiamei Liu, Han Sun, Yizhen Jia, Jie Qin, Huiyu Zhou, Ningzhong Liu:
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation. CoRR abs/2310.08928 (2023) - [i36]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
- [j46]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) - [j45]Yongjie Tan, Jie Qin:
An intelligent image denoising method using weighted multi-scale CB morphological filter algorithm. Int. J. Inf. Technol. Manag. 21(4): 359-368 (2022) - [j44]Yuanyuan Liu, Chuanxu Feng, Xiaohui Yuan, Lin Zhou, Wenbin Wang, Jie Qin, Zhongwen Luo:
Clip-aware expressive feature learning for video-based facial expression recognition. Inf. Sci. 598: 182-195 (2022) - [j43]Xingyu Ru, Kaiyan He, Bingjiang Lyu, Dongxu Li, Wei Xu, Wenyu Gu, Xiao Ma, Jiayi Liu, Congcong Li, Tingyue Li, Fufu Zheng, Xiaozhou Yan, Yugang Yin, Hongfeng Duan, Shuai Na, Shuangai Wan, Jie Qin, Jingwei Sheng, Jia-Hong Gao:
Multimodal neuroimaging with optically pumped magnetometers: A simultaneous MEG-EEG-fNIRS acquisition system. NeuroImage 259: 119420 (2022) - [j42]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) - [j41]Yizhan Zhao, Lv Zhou, Cheng Wang, Jiahao Li, Jie Qin, Haiquan Sheng, Liangke Huang, Xin Li:
Analysis of the Spatial and Temporal Evolution of Land Subsidence in Wuhan, China from 2017 to 2021. Remote. Sens. 14(13): 3142 (2022) - [j40]Jiahao Li, Lv Zhou, Zilin Zhu, Jie Qin, Lingxiao Xian, Di Zhang, Ling Huang:
Surface Deformation Mechanism Analysis in Shanghai Areas Based on TS-InSAR Technology. Remote. Sens. 14(17): 4368 (2022) - [c71]Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. AAAI 2022: 2117-2125 - [c70]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 - [c69]Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization. AAAI 2022: 3090-3098 - [c68]Xu Xu, Jierui Zhang, Jie Qin, Zening Li, Guangcheng Ma, Hongwei Xia:
Mass Characteristics Identification and Intelligent Automatic Balancing Technology of Three-Axis Air-Bearing Testbed. AsiaSim (2) 2022: 273-287 - [c67]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 - [c66]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 - [c65]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 - [c64]Jiahao Wang, Jie Qin, Yunhong Wang, Annan Li:
PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation. IJCAI 2022: 1423-1429 - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]Zhiheng Hu, Yongzhen Wang, Peng Li, Jie Qin, Haoran Xie, Mingqiang Wei:
iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection. CoRR abs/2210.16561 (2022) - 2021
- [j39]Weigang Wang, Jie Qin, Yunwei Zhang, Dashan Deng, Shujuan Yu, Yun Zhang, Yuanjian Liu:
TNNL: A novel image dimensionality reduction method for face image recognition. Digit. Signal Process. 115: 103082 (2021) - [j38]Chendong Xu, Weigang Wang, Yunwei Zhang, Jie Qin, Shujuan Yu, Yun Zhang:
An Indoor Localization System Using Residual Learning with Channel State Information. Entropy 23(5): 574 (2021) - [j37]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) - [j36]Yunwei Zhang, Weigang Wang, Chendong Xu, Jie Qin, Shujuan Yu, Yun Zhang:
SICD: Novel Single-Access-Point Indoor Localization Based on CSI-MIMO with Dimensionality Reduction. Sensors 21(4): 1325 (2021) - [j35]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) - [c63]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 - [c62]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 - [c61]Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CVPR 2021: 7690-7699 - [c60]Zichen Yang, Di Huang, Jie Qin, Yunhong Wang:
Human-Aware Coarse-to-Fine Online Action Detection. ICASSP 2021: 2455-2459 - [c59]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 - [c58]Fangbo Qin, Jie Qin, Siyu Huang, De Xu:
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement. ICRA 2021: 4311-4317 - [c57]Jingcheng Ni, Jie Qin, Di Huang:
Identity-aware Graph Memory Network for Action Detection. ACM Multimedia 2021: 3437-3445 - [c56]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 - [c55]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. NeurIPS 2021: 27734-27746 - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao:
You Never Cluster Alone. CoRR abs/2106.01908 (2021) - [i20]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) - [i19]Jingcheng Ni, Jie Qin, Di Huang:
Identity-aware Graph Memory Network for Action Detection. CoRR abs/2108.11559 (2021) - [i18]Yichao Yan, Jinpeng Li, Jie Qin, Shengcai Liao, Xiaokang Yang:
Efficient Person Search: An Anchor-Free Approach. CoRR abs/2109.00211 (2021) - [i17]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) - [i16]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) - [i15]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) - [i14]Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization. CoRR abs/2112.10977 (2021) - 2020
- [j34]Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool:
Efficient Visual Recognition. Int. J. Comput. Vis. 128(8): 1997-2001 (2020) - [j33]Yongjie Tan, Jie Qin:
A reversible water marking algorithm for multimedia images using two-dimensional non-causal prediction and ESPVD. Multim. Tools Appl. 79(3-4): 1625-1640 (2020) - [j32]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) - [j31]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) - [j30]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) - [j29]Huanghuang Jin, Jian Guo, Hongbo Wang, Zhihong Zhuang, Jie Qin, Tonglei Wang:
Magnetic Anomaly Detection and Localization Using Orthogonal Basis of Magnetic Tensor Contraction. IEEE Trans. Geosci. Remote. Sens. 58(8): 5944-5954 (2020) - [j28]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) - [j27]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) - [c54]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 - [c53]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 - [c52]Mengshi Qi, Jie Qin, Yu Wu, Yi Yang:
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation. CVPR 2020: 12733-12742 - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [c47]Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao:
Invertible Zero-Shot Recognition Flows. ECCV (16) 2020: 614-631 - [c46]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 - [c45]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 - [i13]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) - [i12]Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao:
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis. CoRR abs/2002.10801 (2020) - [i11]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) - [i10]Yuming Shen, Jie Qin, Lei Huang:
Invertible Zero-Shot Recognition Flows. CoRR abs/2007.04873 (2020) - [i9]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) - [i8]Fangbo Qin, Jie Qin, Siyu Huang, De Xu:
Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement. CoRR abs/2010.03325 (2020) - [i7]Jie Qin, Jiemin Fang, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang:
ResizeMix: Mixing Data with Preserved Object Information and True Labels. CoRR abs/2012.11101 (2020)
2010 – 2019
- 2019
- [j26]Cuijun Dong, Qingzhou Mao, Xiaochun Ren, Donghua Kou, Jie Qin, Wei Hu:
Algorithms and Instrument for Rapid Detection of Rail Surface Defects and Vertical Short-Wave Irregularities Based on FOG and Odometer. IEEE Access 7: 31558-31572 (2019) - [j25]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) - [j24]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) - [c44]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 - [c43]Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li:
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing. CVPR 2019: 5237-5246 - [c42]