Fumin Shen, Hanwang Zhang, Yang Yang, "Editorial: Binary representation learning in computer vision", Neurocomputing 2016.
Journal
Batchnorm-based weakly supervised video anomaly detection, Yixuan Zhou, Yi Qu, Xing Xu, Fumin Shen, Jingkuan Song, Heng Tao Shen, IEEE Transactions on Circuits and Systems for Video Technology, 2024
Anti-Collapse Loss for Deep Metric Learning, Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Liqiang Nie, Heng-Tao Shen, IEEE Transactions on Multimedia, 2024
Zero-Shot Video Moment Retrieval With Angular Reconstructive Text Embeddings, Xun Jiang, Xing Xu, Zailei Zhou, Yang Yang, Fumin Shen, Heng Tao Shen, IEEE Transactions on Multimedia, 2024
Dual Dynamic Threshold Adjustment Strategy, XiRuo Jiang, Yazhou Yao, Sheng Liu, Fumin Shen, Liqiang Nie, Xian-Sheng Hua, ACM Transactions on Multimedia Computing, Communications and Applications, 2024
Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval, Shenshen Li, Xing Xu, Xun Jiang, Fumin Shen, Zhe Sun, Andrzej Cichocki, ACM Transactions on Multimedia Computing, Communications and Applications, 2024
Msflow: Multiscale flow-based framework for unsupervised anomaly detection, Yixuan Zhou, Xing Xu, Jingkuan Song, Fumin Shen, Heng Tao Shen, IEEE Transactions on Neural Networks and Learning Systems, 2024
Hierarchical graph pattern understanding for zero-shot video object segmentation, Gensheng Pei, Fumin Shen, Yazhou Yao, Tao Chen, Xian-Sheng Hua, Heng Tao Shen, IEEE Transactions on Image Processing, 2023
Hierarchical Co-Attention Propagation Network for Zero-Shot Video Object Segmentation, Gensheng Pei, Yazhou Yao, Fumin Shen, Dan Huang, Xingguo Huang, Heng Tao Shen, IEEE Transactions on Image Processing, 2023
Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device, Junzhu Mao, Yazhou Yao, Zeren Sun, Xingguo Huang, Fumin Shen, Heng Tao Shen, IEEE TRANSACTIONS ON MULTIMEDIA. 2023
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation, Tao Chen, Yazhou Yao, Lei Zhang, Qiong Wang, Guo-Sen Xie, Fumin Shen, IEEE TRANSACTIONS ON MULTIMEDIA, 2023
Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data, Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Jian Zhang, Xian-Sheng Hua, IEEE TRANSACTIONS ON MULTIMEDIA, 2023
Multi-Grained Attention Network with Mutual Exclusion for Composed Query-Based Image Retrieval, Shenshen Li, Xing Xu, Xun Jiang, Fumin Shen, Xin Liu, Heng Tao Shen, IEEE Transactions on Circuits and Systems for Video Technology, 2023
Robust-EQA: Robust Learning for Embodied Question Answering With Noisy Labels, Haonan Luo; Guosheng Lin; Fumin Shen; Xingguo Huang; Yazhou Yao; Hengtao Shen, IEEE Transactions on Neural Networks and Learning Systems, 2023
Cross-modal Dynamic Networks for Video Moment Retrieval with Text Query, Gongmian Wang, Xing Xu, Fumin Shen*, Huimin Lu, Yanli Ji, Heng Tao Shen, IEEE Transactions on Multimedia, 2022
Saliency Guided Inter-and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation, Tao Chen, Yazhou Yao, Lei Zhang, Qiong Wang, Guosen Xie, Fumin Shen, IEEE Transactions on Multimedia, 2022
Graph convolutional network with sample and feature weights for Alzheimer's disease diagnosis, Lu Zeng, Hengxin Li, Tingsong Xiao, Fumin Shen, Zhi Zhong, INFORMATION PROCESSING & MANAGEMENT, 2022
A Generalized Method for Binary Optimization: Convergence Analysis and Applications, Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022
Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples, Huafeng Liu, Chuanyi Zhang, Yazhou Yao, Xiu-Shen Wei, Fumin Shen, Zhenmin Tang, Jian Zhang, IEEE TRANSACTIONS ON MULTIMEDIA, 2022
Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition, Chuanyi Zhang, Guosheng Lin, Qiong Wang, Fumin Shen, Yazhou Yao, Zhenmin Tang, IEEE Transactions on Multimedia, 2022
Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation, Tao Chen, Guo-Sen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang, IEEE TRANSACTIONS ON MULTIMEDIA, 2022
Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition, Chuanyi Zhang, Qiong Wang, Guo-Sen Xie, Qi Wu, Fumin Shen, Zhenmin Tang, IEEE TRANSACTIONS ON MULTIMEDIA, 2022
Targeted Attack of Deep Hashing Via Prototype-Supervised Adversarial Networks, Zheng Zhang, Xunguang Wang, Guangming Lu, Fumin Shen, Lei Zhu, IEEE TRANSACTIONS ON MULTIMEDIA, 2022
SDN: Semantic Decoupling Network for Temporal Language Grounding, Xun Jiang, Xing Xu, Jingran Zhang, Fumin Shen, Zuo Cao,Heng Tao Shen, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Collaborative Learning for Extremely Low Bit Asymmetric Hashing, Luo, Yadan; Huang, Zi; Li, Yang; Shen, Fumin; Yang, Yang; Cui, Peng, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021
Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder, Xu, Xing; Li, Jie; Yang, Yang; Shen, Fumin, IEEE INTERNET OF THINGS JOURNAL, 2021
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp With Metalearning, Mai, Zhijun; Hu, Guosheng; Chen, Dexiong; Shen, Fumin*; Shen, Heng Tao, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021
Salience-Guided Iterative Asymmetric Mutual Hashing for Fast Person Re-Identification, Zhao, Cairong; Tu, Yuanpeng; Lai, Zhihui; Shen, Fumin; Shen, Heng Tao; Miao, Duoqian, IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021
Arbitrary-View Human Action Recognition: A Varying-View RGB-D Action Dataset, Ji, Yanli; Yang, Yang; Shen, Fumin; Shen, Heng Tao; Zheng, Wei-Shi, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021
Modeling Two-Stream Correspondence for Visual Sound Separation, Yixuan He, Xing Xu, Jingran Zhang, Fumin Shen, yang, yang, and Heng Tao Shen, IEEE Transactions on Circuits and Systems for Video Technology, 2021
Flow-Edge Guided Unsupervised Video Object Segmentation, Yifeng Zhou, Xing Xu, Fumin Shen, Xiaofeng Zhu, and Heng Tao Shen, IEEE Transactions on Circuits and Systems for Video Technology, 2021
Semantic-Aligned Attention With Refining Feature Embedding for Few-Shot Image Classification, Xu, Xianda; Xu, Xing; Shen, Fumin; Li, Yujie, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021
Cross-Modal Attention With Semantic Consistence for Image-Text Matching, Xu, Xing; Wang, Tan; Yang, Yang; Zuo, Lin; Shen, Fumin; Shen, Heng Tao, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020
Exploiting Web Images for Multi-Output Classification: From Category to Subcategories, Yao, Yazhou; Shen, Fumin*; Xie, Guosen; Liu, Li; Zhu, Fan; Zhang, Jian; Shen, Heng Tao, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020
A Survey of Human Action Analysis in HRI Applications, Ji, Yanli; Yang, Yang; Shen, Fumin; Shen, Heng Tao; Li, Xuelong, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020
Towards Automatic Construction of Diverse, High-Quality Image Datasets, Yao, Yazhou; Zhang, Jian; Shen, Fumin*; Liu, Li; Zhu, Fan; Zhang, Dongxiang; Shen, Heng Tao, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020
A Context Knowledge Map Guided Coarse-to-Fine Action Recognition, Ji, Yanli; Zhan, Yue; Yang, Yang; Xu, Xing; Shen, Fumin; Shen, Heng Tao, IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020
Real-Time Deep Tracking via Corrective Domain Adaptation, Li, Hanxi; Wang, Xinyu; Shen, Fumin*; Li, Yi; Porikli, Fatih; Wang, Mingwen, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019
Describing Video With Attention-Based Bidirectional LSTM, Bin, Yi; Yang, Yang; Shen, Fumin; Xie, Ning; Shen, Heng Tao; Li, Xuelong, IEEE TRANSACTIONS ON CYBERNETICS, 2019
Error Correcting Input and Output Hashing, Ma, Chao; Tsang, Ivor W.; Shen, Fumin; Liu, Chuancai, IEEE TRANSACTIONS ON CYBERNETICS, 2019
Extracting Multiple Visual Senses for Web Learning, Yao, Yazhou; Shen, Fumin; Zhang, Jian; Liu, Li; Tang, Zhenmin; Shao, Ling, IEEE TRANSACTIONS ON MULTIMEDIA, 2019
Extracting Privileged Information for Enhancing Classifier Learning, Yao, Yazhou; Shen, Fumin*; Zhang, Jian; Liu, Li; Tang, Zhenmin; Shao, Ling, IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019
Yazhou Yao, Jian Zhang, Fumin Shen*, Li Liu, Fan Zhu, Dongxiang Zhang, and Heng Tao Shen, "Towards Automatic Construction of Diverse, High-quality Image Datasets". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
Fumin Shen, Xiang Zhou, Jun Yu, Yang Yang, Li Liu and Heng Tao Shen, "Scalable Zero-Shot Learning via Binary
Visual-Semantic Embeddings". IEEE Transactions on Image Processing (TIP), 2019.
Xiang Zhou, Fumin Shen*, Li Liu, Wei Liu, Liqiang Nie, Yang Yang and Heng Tao Shen, "Graph Convolutional Network Hashing". IEEE Transactions on Cybernetics (TCYB), 2019.
Yazhou Yao, Fumin Shen*, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao, "Extracting Privileged Information for Enhancing Classifier Learning". IEEE Transactions on Image Processing, (TIP), 2018.
Zheng Zhang, Li Liu, Fumin Shen, Heng Tao Shen and Ling Shao, "Binary Multi-View Clustering". IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2018.
Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang, Ling Shao, "Discovering and Distinguishing Multiple Visual Senses for Web Learning". IEEE Transactions on Multimedia, (TMM), 2018.
Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang and Heng Tao Shen, "Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization". IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2018.
Yi Bin, Yang Yang, Fumin Shen, Ning Xie, Heng Tao Shen and Xuelong Li, "Describing Video with Attention based Bidirectional LSTM". IEEE Transactions on Cybernetics, (TCYB), 2018.
Xiaobo Shen, Fumin Shen, Li Liu, Yun-Hao Yuan, Weiwei Liu, Quan-Sen Sun, "Multi-view Discrete Hashing for Scalable Multimedia Search". ACM Transactions on Intelligent Systems and Technology, (ACM TIST), 2018.
Chao Ma, Ivor W. Tsang, Fumin Shen, Chuancai Liu, "Error Correcting Input and Output Hashing". IEEE Transactions on Cybernetics, (TCYB), 2018.
Minxian Li, Fumin Shen, Jingya Wang, Chao Guan, Jinhui Tang, "Person re-identification with activity prediction based on hierarchical spatial-temporal model". Neurocomputing, 2018.
Mingxing Zhang, Yang Yang, Yanli Ji, Ning Xie, Fumin Shen, "Recurrent attention network using spatial-temporal relations for action recognition". Signal Processing, 2018.
Huimin Wu, Jie Shao, Xing Xu, Yanli Ji, Fumin Shen and Heng Tao Shen, "Recognition and Detection of Two-person Interactive Actions Using
Automatically Selected Skeleton Features". IEEE Transactions on Human-Machine Systems (THMS), 2017.
Yang Long, Li Liu, Fumin Shen, Ling Shao, Xuelong Li, "Zero-shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
Teng Long, Xing Xu, Fumin Shen*, Li Liu, Ning Xie, Yang Yang, "Zero-Shot Learning via Discriminative Representation Extraction". Pattern Recognition Letters (PRL), 2017.
Xiao Tan, Changming Sun, Fumin Shen, and Kwan-Yee K. Wong, "Efficient Message Passing Methods with Fully Connected Models for Early Vision". IEEE Transactions on Image Processing (TIP), 2017.
Mengqiu Hu, Yang Yang, Fumin Shen, Ning Xie and Heng Tao Shen, "Hashing with Angular Reconstructive Embeddings". IEEE Transactions on Image Processing (TIP), 2017.
Litao Yu, Zi Huang, Fumin Shen, Jingkuan Song, Heng Tao Shen and Xiaofang Zhou, "Bilinear Optimized Product Quantization for Scalable Visual Content Analysis". IEEE Transactions on Image Processing (TIP), 2017.
Yang Yang, Fumin Shen, Zi Huang, Heng Tao Shen and Xuelong Li, "Discrete Nonnegative Spectral Clustering". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017.
Fumin Shen, Yang Yang, Li Liu, Wei Liu, Dacheng Tao, Heng Tao Shen, "Asymmetric Binary Coding for Image Search". IEEE Transactions on Multimedia (TMM), 2017.
Mengqiu Hu, Yang Yang, Fumin Shen, Luming Zhang, Heng Tao Shen and Xuelong Li, "Robust Web Image Annotation via Exploring Multi-facet and Structural Knowledge". IEEE Transactions on Image Processing (TIP), 2017.
Yazhou Yao, Jian Zhang, Fumin Shen*, Xian-Sheng Hua, Jingsong Xu, Zhenmin Tang. "Exploiting Web Images for Dataset Construction: A Domain Robust Approach". IEEE Transactions on Multimedia (TMM), 2017.
Yadan Luo, Yang Yang, Fumin Shen, Zi Huang, Pan Zhou, Heng Tao Shen. "Robust Discrete Code Modeling for Supervised Hashing". Pattern Recognition (PR), 2017.
Liangfu Cao, Lianli Gao, Xing Xu, Fumin Shen, Yuan Wang, Jingkuan Song, "Multiple Hierarchical Deep Hashing for Large Scale Image Retrieval", Multimedia Tools and Applications (MTAP), 2017.
Xing Xu, Fumin Shen*, Yang Yang, Heng Tao Shen and Xuelong Li, "Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval", IEEE Transactions on Image Processing (TIP), 2017.
Yazhou Yao, Jian Zhang, Fumin Shen, Xiansheng Hua, Jingsong Xu, Zhenmin Tang, "A new web-supervised method for image dataset constructions", Neurocomputing, 2017.
Lianli Gao, Xiangpeng Li, Xing Xu, Jie Shao, Fumin Shen, Jingkuan Song, "Kernel based Latent Semantic Sparse Hashing for Large-scale Retrieval from Heterogeneous Data Sources", Neurocomputing, 2017.
Guangwei Gao, Jian Yang, Xiao-Yuan Jing, Fumin Shen, Wankou Yang and Dong Yue, "Learning Robust and Discriminative Low-rank Representations for Face Recognition with Occlusion", Pattern Recognition (PR), 2017.
Dongxiang Zhang, Yuchen Li, Ju Fan, Lianli Gao, Fumin Shen and Heng Tao Shen, "Processing Long Queries Against Short Text: Top-k Advertisement Matching in News Stream Applications", ACM Transactions on Information Systems (TOIS), 2017.
Li Liu, Zijia Lin, Ling Shao, Fumin Shen, Guiguang Ding and Jungong Han, "Sequential Discrete Hashing for Scalable Cross-modality Similarity Retrieval", IEEE Transactions on Image Processing (TIP), 2017.
Xiaoyu Du, Yang Yang, Liu Yang, Fumin Shen, Zhiguang Qin, Jinhui Tang, "Captioning Videos using Large-scale Image Corpus", Journal of Computer Science and Technology (JCST), 2017.
Sixiu Chen, Fumin Shen*, Yang Yang, Xing Xu, Jingkuan Song, "Supervised hashing with adaptive discrete optimization for multimedia retrieval", Neurocomputing, 2016.
Zhongyu Li, Ruogu Fang, Fumin Shen and Shaoting Zhang, "Indexing and Mining Large-Scale Neuron Databases using Maximum Inner Product Search, Pattern Recognition (PR), 2016.
Yanyun Qu, Li Lin, Fumin Shen, Chang Lu, Yang Wu, Yuan Xie, and Dacheng Tao, "Joint Hierarchical Category Structure Learning and Large-Scale Image Classification", IEEE Transactions on Image Processing (TIP), 2016.
Fumin Shen, Xiang Zhou, Yang Yang, Jingkuan Song, Heng Tao Shen and Dacheng Tao, "A Fast Optimization Method for General Binary Code Learning", IEEE Transactions on Image Processing (TIP), 2016.
Xiaobo Shen, Fumin Shen, Quan-sen Sun, Yang Yang, Yun-Hao Yuan, Heng Tao Shen, "Semi-paired Discrete Hashing: Learning Latent Hash Codes for Semi-paired Cross-view Retrieval", IEEE Transactions on Cybernetics (TCYB), 2016.
Yi Bin, Yang Yang, Fumin Shen, Xing Xu, "Combining multi-representation for multimedia event detection using co-training", Neurocomputing, 2016.
Yuan Wang, Dongxiang Zhang, Qing Liu, Fumin Shen and Loo Hay Lee, "Towards Enhancing the Last-Mile Delivery: An Effective Crowd-Tasking
Model with Scalable Solutions", Transportation Research Part E: Logistics and
Transportation Review (TRE), 2016.
Zhao Guo, Lianli Gao, xiantong zhen, Fuhao Zou, Fumin Shen, Kai Zheng, "Spatial and Temporal Scoring for Egocentric Video Summarization", Neurocomputing, 2016.
Yan Xu, Fumin Shen*, Xing Xu, Lianli Gao, Yuan Wang and Xiao Tan, "Large-scale Image Retrieval with Supervised Sparse Hashing", Neurocomputing, 2016.
Rui Yao, Shixiong Xia, Fumin Shen, Yong Zhou and Qiang Niu, "Exploiting Spatial Structure from Parts for Adaptive Kernelized Correlation Filter Tracker", IEEE Signal Processing Letters, 2016.
Qi Ge, Fumin Shen, Xiao-Yuan Jing, Fei Wu, Shi-Peng Xie, Dong Yue, Hai-Bo Li, "Active Contour Evolved by Joint Probability Classification on Riemannian Manifold", Signal, Image and Video Processing, 2016.
Mingxing Zhang, Yang Yang, Fumin Shen, Hanwang Zhang and Yuan Wang, "Multi-view feature selection and classification for Alzheimer’s Disease diagnosis", Multimedia Tools and Applications (MTAP), 2016.
Fumin Shen, Chunhua Shen, Xiang Zhou, Yang Yang and Heng Tao Shen, "Face Image Classification by Pooling Raw Features", Pattern Recognition (PR), 2016.
Xiaobo Shen, Fumin Shen, Quan-Sen Sun, Yun-Hao Yuan and Heng Tao Shen, “Robust Cross-view Hashing for Multimedia Retrieva”, IEEE Signal Processing Letters (SPL), 2016.
Yang Yang, Fumin Shen*, Heng Tao Shen, Hanxi Li and Xuelong Li, “Robust Discrete Spectral Hashing for Large-Scale Image Semantic Indexing”, IEEE Transactions on Big Data (TBD), 2016.
Hanxi Li, Fumin Shen*, Chunhua Shen, Yang Yang, Yongsheng Gao, “Face Recognition Using Linear Representation Ensembles”, Pattern Recognition (PR), 2016.
Zhenyu Wang, Wankou Yang and Fumin Shen, “Face Recognition Using A Low-Rank Representation Based Projections Method”, Neural Processing Letters (NPL), 2016.
Fumin Shen, Yang Yang, Xiang Zhou, Xianglong Liu and Jie Shao, “Face Identification with Second-Order Pooling in Single-layer Networks”, Neurocomputing, 2016.
Mingxing Zhang, Yang Yang, Hanwang Zhang and Fumin Shen, “L2,p-norm and Sample Constraint Based Feature Selection and Classification for AD Diagnosis”, Neurocomputing, 2016.
Xiang Zhou, Fumin Shen*, Yang Yang, Guangwei Gao, Yuan Wang, “Binary Code Learning via Optimal Class Representations”, Neurocomputing, 2016.
Fumin Shen, Wankou Yang, Hanxi Li, Hanwang Zhang, Heng Tao Shen, “Robust regression based face recognition with fast outlier removal”, Multimedia Tools and Applications (MTAP), 2016.
Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang, Heng Tao Shen, “Hashing on Nonlinear Manifolds”, IEEE Transactions on Image Processing (TIP), Vol. 24, Issue:6, pp. 1839-1851, 2015.
Hoangvu Nguyen, Wankou Yang, Fumin Shen, “Kernel Low-Rank Representation for Face Recognition”, Neurocomputing, Vol. 155, Issue:1, pp. 32-42, 2015.
Wankou Yang, Karl Ricanek, Fumin Shen, “Image classification using local linear regression”, Neural Computing and Applications, Vol. 25, Issue:7, pp. 1913-1920, 2014.
Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel, “Fast Approximate L∞-Minimization: Speeding Up Robust Regression”, Computational Statistics & Data Analysis (CSDA), Vol .77, pp. 25-37, 2014.
Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen, Zhenmin Tang, “Boosting Separability in Semi-supervised Learning for Object Classification”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 24, pp. 1197-1208, 2013.
Fumin Shen, Chunhua Shen, Anton van den Hengel, Zhenmin Tang, “Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis”, IEEE Transactions on Image Processing (TIP), Vol. 22, Issue: 5, pp. 1836-1847, 2013.
Fumin Shen, Zhenmin Tang, Jingsong Xu, “Locality constrained representation based classification with spatial pyramid patches”, Neurocomputing, Vol. 101, pp. 104-115, 2013.
Chunhua Shen, Peng Wang, Fumin Shen, Hanzi Wang, “UBoost: Boosting with the Universum”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 34, Issue 4, pp. 825-832, 2012
Conference
Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval, Shenshen Li, Chen He, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen, Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion, Zixian Gao, Xun Jiang, Xing Xu, Fumin Shen, Yujie Li, Heng Tao Shen, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Dcel: Deep cross-modal evidential learning for text-based person retrieval, Shenshen Li, Xing Xu, Yang Yang, Fumin Shen, Yijun Mo, Yujie Li, Heng Tao Shen, Proceedings of the 31st ACM International Conference on Multimedia, 2023
Multimodal Disentanglement Variational AutoEncoders for Zero-Shot Cross-Modal Retrieval, Jialin Tian, Kai Wang, Xing Xu, Zuo Cao, Fumin Shen, Heng Tao Shen, The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Semi-supervised Video Paragraph Grounding with Contrastive Encoder, Xun Jiang, Xing Xu, Jingran Zhang, Fumin Shen, Zuo Cao, Heng Tao Shen, CVPR 2022, 2022
PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction, Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao, Jinhui Tang, CVPR 2022, 2022
TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval, Jialin Tian, Xing Xu, Fumin Shen, yang, yang, Heng Tao Shen, AAAI2022, 2022
Scene Text Image Super-Resolution via Parallelly Contextual Attention Network, Cairong Zhao, Shuyang Feng, Brian Nlong Zhao, Zhijun Ding, Jun Wu, Fumin Shen, Heng Tao Shen, 29th ACM International Conference on Multimedia, MM 2021
Hybrid Fusion with Intra- and Cross-Modality Attention for Image-Recipe Retrieval, Jiao Li, Xing Xu, Wei Yu, Fumin Shen, Zuo Cao, Kai Zuo, Heng Tao Shen, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021
Video Representation Learning with Graph Contrastive Augmentation, Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu, 29th ACM International Conference on Multimedia, MM 2021
Relationship-Preserving Knowledge Distillation for Zero-Shot Sketch Based Image Retrieval, Jialin Tian, Xing Xu, Zheng Wang, Fumin Shen, Xin Liu, 29th ACM International Conference on Multimedia, MM 2021
CAA: Candidate-Aware Aggregation for Temporal Action Detection, Yifan Ren, Xing Xu, Fumin Shen, Yazhou Yao, Huimin Lu, 29th ACM International Conference on Multimedia, MM 2021
Lifting the Veil of Frequency in Joint Segmentation and Depth Estimation, Tianhao Fu, Yingying Li, Xiaoqing Ye, Xiao Tan, Hao Sun, Fumin Shen, Errui Ding, 29th ACM International Conference on Multimedia, MM 2021
AggNet for Self-supervised Monocular Depth Estimation: Go An Aggressive Step Furthe, Zhi Chen, Xiaoqing Ye, Liang Du, Wei Yang, Liusheng Huang, Xiao Tan, Zhenbo Shi, Fumin Shen, Errui Ding, MM 2021
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation, Yazhou Yao, Tao Chen, Guo-Sen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach, Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation.Yiran Zhu , Xing Xu, Fumin Shen , Yanli Ji , Lianli Gao，Heng Tao Shen - IJCAI, 2021
Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning, Jingran Zhang, Xing Xu, Fumin Shen, Huimin Lu, Xin Liu, Heng Tao Shen, AAAI, 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels, Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing, Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images，Xing Xu, Jiefu Chen, Jinhui Xiao, Lianli Gao, Fumin Shen, Heng Tao Shen; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Auto-Encoding Twin-Bottleneck Hashing，Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Web-supervised network with softly update-drop training for fine-grained visual classification， Zhang, Chuanyi; Yao, Yazhou; Liu, Huafeng; Xie, Guo-Sen; Shu, Xiangbo; Zhou, Tianfei; Zhang, Zheng; Shen, Fumin; Tang, Zhenmin，34th AAAI Conference on Artificial Intelligence, AAAI 2020
Temporal Denoising Mask Synthesis Network for Learning Blind Video Temporal Consistency, Zhou, Yifeng; Xu, Xing; Shen, Fumin; Gao, Lianli; Lu, Huimin; Shen, Heng Tao, 28th ACM International Conference on Multimedia, MM 2020
Generative reconstructive hashing for incomplete video analysis, Jingyi Zhang, Zhen Wei, Ionut Cosmin Duta, Fumin Shen*, Li Liu, Fan Zhu, Xing Xu, Ling Shao, Heng Tao Shen, Proceedings of the 27th ACM International Conference on Multimedia, 2019
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables, Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Time-Aware session embedding for click-through-rate prediction, Qidi Xu, Haocheng Xu, Weilong Chen, Chaojun Han, Haoyang Li, Wenxin Tan, Fumin Shen*, Heng Tao Shen, Proceedings of the 27th ACM International Conference on Multimedia, 2019
Make a Face: Towards Arbitrary High Fidelity Face Manipulation,Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Dynamically visual disambiguation of keyword-based image search, Yazhou Yao, Zeren Sun, Fumin Shen*, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao, Proceedings of the 28th International Joint Conference on Artificial Intelligence(IJCAI), 2019
Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen and Wei Liu, "Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yao Sun, Si Liu, Yi Zhou and Ling Shao, "Building Detail-Sensitive Semantic Segmentation Networks with Polynomial Pooling". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie and Ling Shao, "Deep Sketch-Shape Hashing with Segmented 3D Stochastic Viewing". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
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". European Conference on Computer Vision (ECCV), 2018.
Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc Van Gool, "Generative Domain-Migration Hashing for Sketch-to-Image Retrieval". European Conference on Computer Vision (ECCV), 2018.
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". European Conference on Computer Vision (ECCV), 2018.
Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, et al., "Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States". European Conference on Computer Vision (ECCV), 2018.
Xinyu Gong, Haozhi Huang, Lin Ma, Fumin Shen, Wei Liu, Tong Zhang, "Neural Stereoscopic Image Style Transfer". European Conference on Computer Vision (ECCV), 2018.
Chaojun Han, Fumin Shen, Li Liu, Yang Yang, Heng Tao Shen, "Visual Spatial Attention Network for Relationship Detection". ACM International Conference on Multimedia (MM), 2018. (Oral)
Fan Zhu, Li Liu, Jin Xie, Fumin Shen, Ling Shao, Yi Fang, "Learning to Synthesize 3D Indoor Scenes from Monocular Images". ACM International Conference on Multimedia (MM), 2018. (Oral)
Yanli Ji, Feixiang Xu, Yang Yang, Fumin Shen, Heng Tao Shen, Wei-Shi Zheng, "A Large Scale RGB-D Database for Arbitrary-view Human Action Recognition". ACM International Conference on Multimedia (MM), 2018.
Teng Long, Xing Xu, Yoyo Li, Fumin Shen, Jingkuan Song, Heng Tao Shen, "Pseudo Transfer with Marginalized Corrupted Attribute for Zero-shot Learning". ACM International Conference on Multimedia (MM), 2018.
Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie, "Chat More: Deepening and Widening the Chatting Topic via A Deep Model". ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018.
Qidi Xu, Fumin Shen, Li Liu, Heng Tao Shen, "GraphCAR: Content-aware Multimedia Recommendation with Graph Autoencoder". ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (short)
Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Xiansheng Hua, Zhenmin Tang, "Extracting Privileged Information from Untagged Corpora for Classifier Learning". International Joint Conference on Artificial Intelligence (IJCAI), 2018.
Yuming Shen, Li Liu, Fumin Shen and Ling Shao, "Zero-Shot Sketch-Image Hashing". IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (spotlight), 2018.
Xing Xu, Jingkuan Song, Huimin Lu, Yang Yang, Fumin Shen and Zi Huang, "Modal-adversarial Semantic Learning Network for Extendable Cross-modal Retrieval". ACM International Conference on Multimedia Retrieval (ICMR), 2018.
Xing Xu, Jingkuan Song, Huimin Lu, He Li, Yang Yang and Fumin Shen, "Dual Learning for Visual Question Generation". IEEE International Conference on Multimedia and Expo (ICME), 2018.
Luyao Liu, Xingzhong Du, Lei Zhu, Fumin Shen and Zi Huang, "Discrete Binary Hashing Towards Efficient Fashion Recommendation". 23rd International Conference on Database Systems for Advanced Applications (DASFAA), 2018.
Yazhou Yao, Jian Zhang, Fumin Shen*, Wankou Yang, Pu Huang, Zhenmin Tang, "Discovering and Distinguishing Multiple Visual Senses for Polysemous Words". AAAI Conference on Artificial Intelligence (AAAI), 2018.
Chenlu Liu, Xing Xu, Yang Yang, Huimin Lu, Fumin Shen, Yanli Ji. "Domain Invariant Subspace Learning for Cross-Modal Retrieval". International Conference on Multimedia Modelling (MMM), 2018.
Fumin Shen, Xin Gao, Li Liu, Yang Yang and Heng Tao Shen. "Deep Asymmetric Pairwise Hashing". ACM International Conference on Multimedia (MM) (oral), 2017.
Ruicong Xu, Yang Yang, Fumin Shen, Ning Xie, Heng Tao Shen. "Efficient Binary Coding for Subspace-based Query-by-Image Video Retrieval". ACM International Conference on Multimedia (MM), 2017.
Jie Chen, Jie Shao, Fumin Shen, Chengkun He, Lianli Gao and Heng Tao Shen. "Movie Fill in the Blank with Adaptive Temporal Attention and Description Update". ACM International Conference on Information and Knowledge Management (CIKM) (oral), 2017.
Fumin Shen, Yadong Mu, Yang Yang, Wei Liu, Li Liu, Jingkuan Song, Heng Tao Shen. "Classification by Retrieval: Binarizing Data and Classifier". ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (oral), 2017.
Gang Hu, Jie Shao, Fumin Shen, Zi Huang, Heng Tao Shen. "Unifying Multi-Source Social Media Data for Personalized Travel Route Planning". ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. (short)
Zhiwei Liu, Yang Yang, Zi Huang, Fumin Shen, Dongxiang Zhang and Heng Tao Shen. "Event Early Embedding: Predicting Event Volume Dynamics at Early Stage". ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. (short)
Xing Xu, Fumin Shen, Yang Yang, Jie Shao, Zi Huang. "Transductive Visual-Semantic Embedding for Zero-shot Learning", ACM International Conference on Multimedia Retrieval (ICMR), 2017.
Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Heng Tao Shen, Jingkuan Song. "Matrix Tri-Factorization with Manifold Regularizations for Zero-shot Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao. "Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Li Liu, Ling Shao, Fumin Shen, Mengyang Yu. "Discretely Coding Semantic Rank Orders for Image Hashing", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han. "From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang. "Zero-Shot Action Recognition with Error-Correcting Output Codes", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang. "Binary Coding for Partial Action Analysis with Limited Observation Ratios", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Xin Gao, Fumin Shen*, Yang Yang, Xing Xu, Hanxi Li and Heng Tao Shen, "Asymmetric Sparse Hashing", IEEE International Conference on Multimedia and Expo (ICME), 2017.
Yahui Xu, Yang Yang, Fumin Shen, Yuxuan Zhou, Xing Xu and Heng Tao Shen, "Attribute Hashing for Zero-Shot Image Retrieval", IEEE International Conference on Multimedia and Expo (ICME), 2017.
Li He, Xing Xu, Huimin Lu, Yang Yang, Fumin Shen and Heng Tao Shen, "Unsupervised Cross-modal Retrieval through Adversarial Learning", IEEE International Conference on Multimedia and Expo (ICME), 2017.
Xinyu Wang, Hanxi Li, Yi Li, Fumin Shen and Fatih Porikli, "Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation", IEEE International Conference on Multimedia and Expo (ICME), 2017.
Xiaobo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen and Quan-Sen Sun, "Compressed K-means for Large-scale Clustering", AAAI Conference on Artificial Intelligence (AAAI), San Francisco, 2017.
Xiu Huang, Yang Yang, Yue Hu, Fumin Shen and Jie Shao. "Dynamic User Attribute Discovery on Social Media". Asia Pacific Web Conference (APWeb), 2016.
Yang Yang, Yadan Luo, Weilun Chen, Fumin Shen, Jie Shao, Heng Tao Shen, "Zero-Shot Hashing Via Transferring Supervised Knowledge", ACM Multimedia (MM), 2016.
Jingkuan Song, Lianli Gao, Mihai Marian Puscas, Feiping Nie, Fumin Shen, Nicu Sebe, "Joint Graph Learning and Video Segmentation Via Multiple Cues and Topology Calibration", ACM Multimedia (MM), 2016.
Xing Xu, Fumin Shen, Zi Huang, Yang Yang, Li He, Jingkuan Song, "Cross-modal Retrieval with Label Completion", ACM Multimedia (MM), 2016. (short)
Yi Bin, Yang Yang, Zi Huang, Fumin Shen, Xing Xu, Heng Tao Shen, "Bidirectional Long-Short Term Memory for Video Description", ACM Multimedia (MM), 2016. (short)
Yang Yang, Fumin Shen, Zi Huang, Heng Tao Shen, A Unified Framework for Discrete Spectral Clustering, International Joint Conference on Artificial Intelligence (IJCAI), 2016.
Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen, Discriminant Cross-modal hashing, ACM International Conference on Multimedia Retrieval (ICMR), 2016. (short)
Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, Chua Tat-Seng, Discrete Collaborative Filtering, ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2016.