Automatic image dataset construction with multiple textual metadata. - Yazhou Yao; Jian Zhang 002; Fumin Shen; Xian-Sheng Hua 001; Jingsong Xu; Zhenmin Tang (ICME, 2016)

A Domain Robust Approach For Image Dataset Construction. - Yazhou Yao; Xian-Sheng Hua 001; Fumin Shen; Jian Zhang 002; Zhenmin Tang (ACM Multimedia, 2016)

Extracting Visual Knowledge from the Internet: Making Sense of Image Data. - Yazhou Yao; Jian Zhang 002; Xian-Sheng Hua 001; Fumin Shen; Zhenmin Tang (MMM (1), 2016)

Deep Learning for Person Reidentification Using Support Vector Machines. - Mengyu Xu; Zhenmin Tang; Yazhou Yao; Lingxiang Yao; Huafeng Liu 004; Jingsong Xu (Adv. Multim., 2017)

Refining Image Categorization by Exploiting Web Images and General Corpus. - Yazhou Yao; Jian Zhang 002; Fumin Shen; Xian-Sheng Hua 001; Wankou Yang; Zhenmin Tang (CoRR, 2017)

Towards Automatic Construction of Diverse, High-quality Image Dataset. - Yazhou Yao; Jian Zhang 002; Fumin Shen; Dongxiang Zhang; Zhenmin Tang; Heng Tao Shen (CoRR, 2017)

A new web-supervised method for image dataset constructions. - Yazhou Yao; Jian Zhang 002; Fumin Shen; Xian-Sheng Hua 001; Jingsong Xu; Zhenmin Tang (Neurocomputing, 2017)

Exploiting Web Images for Dataset Construction: A Domain Robust Approach. - Yazhou Yao; Jian Zhang 002; Fumin Shen; Xian-Sheng Hua 001; Jingsong Xu; Zhenmin Tang (IEEE Trans. Multim., 2017)

Discovering and Distinguishing Multiple Visual Senses for Polysemous Words. - Yazhou Yao; Jian Zhang 002; Fumin Shen; Wankou Yang; Pu Huang; Zhenmin Tang (AAAI, 2018)

Extracting Privileged Information from Untagged Corpora for Classifier Learning. - Yazhou Yao; Jian Zhang 002; Fumin Shen; Wankou Yang; Xian-Sheng Hua 001; Zhenmin Tang (IJCAI, 2018)

Collaborative representation based local discriminant projection for feature extraction. - Pu Huang; Tao Li; Guangwei Gao; Yazhou Yao; Geng Yang (Digit. Signal Process., 2018)

Towards automatic construction of diverse, high-quality image dataset - Yazhou Yao (2018)

Attentive Region Embedding Network for Zero-Shot Learning. - Guo-Sen Xie; Li Liu 004; Xiaobo Jin; Fan Zhu 001; Zheng Zhang 006; Jie Qin; Yazhou Yao; Ling Shao 001 (CVPR, 2019)

SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. - Haonan Luo; Guosheng Lin; Zichuan Liu; Fayao Liu; Zhenmin Tang; Yazhou Yao (ICCV, 2019)

Dynamically Visual Disambiguation of Keyword-based Image Search. - Yazhou Yao; Zeren Sun; Fumin Shen; Li Liu 004; Limin Wang 002; Fan Zhu 001; Lizhong Ding 001; Gangshan Wu; Ling Shao 001 (IJCAI, 2019)

Road Segmentation with Image-LiDAR Data Fusion. - Huafeng Liu 004; Yazhou Yao; Zeren Sun; Xiangrui Li; Ke Jia; Zhenmin Tang (CoRR, 2019)

Deep Representation Learning for Road Detection through Siamese Network. - Huafeng Liu 004; Xiaofeng Han; Xiangrui Li; Yazhou Yao; Pu Huang; Zhenming Tang (CoRR, 2019)

Clustering-driven unsupervised deep hashing for image retrieval. - Yifan Gu; Shidong Wang; Haofeng Zhang 001; Yazhou Yao; Wankou Yang; Li Liu 004 (Neurocomputing, 2019)

Deep representation learning for road detection using Siamese network. - Huafeng Liu 004; Xiaofeng Han; Xiangrui Li; Yazhou Yao; Pu Huang; Zhenmin Tang (Multim. Tools Appl., 2019)

Exploiting textual and visual features for image categorization. - Yazhou Yao; Wankou Yang; Pu Huang; Qiong Wang 003; Yunfei Cai; Zhenmin Tang (Pattern Recognit. Lett., 2019)

Extracting Privileged Information for Enhancing Classifier Learning. - Yazhou Yao; Fumin Shen; Jian Zhang 002; Li Liu 004; Zhenmin Tang; Ling Shao 001 (IEEE Trans. Image Process., 2019)

Extracting Multiple Visual Senses for Web Learning. - Yazhou Yao; Fumin Shen; Jian Zhang 002; Li Liu 004; Zhenmin Tang; Ling Shao 001 (IEEE Trans. Multim., 2019)

Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification. - Chuanyi Zhang; Yazhou Yao; Huafeng Liu 004; Guo-Sen Xie; Xiangbo Shu; Tianfei Zhou; Zheng Zhang 006; Fumin Shen; Zhenmin Tang (AAAI, 2020)

Motion-Attentive Transition for Zero-Shot Video Object Segmentation. - Tianfei Zhou; Shunzhou Wang; Yi Zhou 007; Yazhou Yao; Jianwu Li; Ling Shao 001 (AAAI, 2020)

Region Graph Embedding Network for Zero-Shot Learning. - Guo-Sen Xie; Li Liu 004; Fan Zhu 001; Fang Zhao 006; Zheng Zhang 006; Yazhou Yao; Jie Qin; Ling Shao 001 (ECCV (4), 2020)

Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation. - Tao Chen 012; Jian Zhang 002; Guo-Sen Xie; Yazhou Yao; Xiaoshui Huang; Zhenmin Tang (ICME, 2020)

Hsi Road: A Hyper Spectral Image Dataset For Road Segmentation. - Jiarou Lu; Huafeng Liu 004; Yazhou Yao; Shuyin Tao; Zhenming Tang; Jianfeng Lu 003 (ICME, 2020)

Web-Supervised Network for Fine-Grained Visual Classification. - Chuanyi Zhang; Yazhou Yao; Jiachao Zhang; Jiaxin Chen; Pu Huang; Jian Zhang 002; Zhenmin Tang (ICME, 2020)

Generative Adversarial and Self-Attention Based Fine-Grained Cross-Media Retrieval. - Jin Hong; Haonan Luo; Yazhou Yao; Zhenmin Tang (ICVISP, 2020)

Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing. - Weiwei Wang; Yuming Shen; Haofeng Zhang 001; Yazhou Yao; Li Liu 004 (IJCAI, 2020)

PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks. - Benyi Hu; Ren-Jie Song; Xiu-Shen Wei; Yazhou Yao; Xian-Sheng Hua 001; Yuehu Liu (ACM Multimedia, 2020)

CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning. - Zeren Sun; Xian-Sheng Hua 001; Yazhou Yao; Xiu-Shen Wei; Guosheng Hu; Jian Zhang 002 (ACM Multimedia, 2020)

Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch. - Yazhou Yao; Xiansheng Hua 001; Guanyu Gao; Zeren Sun; Zhibin Li 002; Jian Zhang 002 (ACM Multimedia, 2020)

Data-driven Meta-set Based Fine-Grained Visual Recognition. - Chuanyi Zhang; Yazhou Yao; Xiangbo Shu; Zechao Li; Zhenmin Tang; Qi Wu 001 (ACM Multimedia, 2020)

Field-wise Learning for Multi-field Categorical Data. - Zhibin Li 002; Jian Zhang 002; Yongshun Gong; Yazhou Yao; Qiang Wu 001 (NeurIPS, 2020)

Multi-model Network for Fine-Grained Cross-Media Retrieval. - Jiemi Bai; Yazhou Yao; Qiong Wang 003; Yichao Zhou; Wankou Yang; Fumin Shen (PRCV (2), 2020)

A Novel CNN Architecture for Real-Time Point Cloud Recognition in Road Environment. - Duyao Fan; Yazhou Yao; Yunfei Cai; Xiangbo Shu; Pu Huang; Wankou Yang (PRCV (1), 2020)

Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification. - Pengzhen Du; Zeren Sun; Yazhou Yao; Zhenmin Tang (IEEE Access, 2020)

Salvage Reusable Samples from Noisy Data for Robust Learning. - Zeren Sun; Xian-Sheng Hua 001; Yazhou Yao; Xiu-Shen Wei; Guosheng Hu; Jian Zhang 002 (CoRR, 2020)

Data-driven Meta-set Based Fine-Grained Visual Classification. - Chuanyi Zhang; Yazhou Yao; Xiangbo Shu; Zechao Li; Zhenmin Tang; Qi Wu 001 (CoRR, 2020)

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge. - Xiu-Shen Wei; Yu-Yan Xu; Yazhou Yao; Jia Wei; Si Xi; Wenyuan Xu; Weidong Zhang; Xiaoxin Lv; Dengpan Fu; Qing Li; Baoying Chen; Haojie Guo; et al. (CoRR, 2020)

Road segmentation with image-LiDAR data fusion in deep neural network. - Huafeng Liu 004; Yazhou Yao; Zeren Sun; Xiangrui Li; Ke Jia; Zhenming Tang (Multim. Tools Appl., 2020)

CAN-GAN: Conditioned-attention normalized GAN for face age synthesis. - Chenglong Shi; Jiachao Zhang; Yazhou Yao; Yunlian Sun; Huaming Rao; Xiangbo Shu (Pattern Recognit. Lett., 2020)

Pseudo distribution on unseen classes for generalized zero shot learning. - Haofeng Zhang 001; Jingren Liu; Yazhou Yao; Yang Long 001 (Pattern Recognit. Lett., 2020)

Towards Automatic Construction of Diverse, High-Quality Image Datasets. - Yazhou Yao; Jian Zhang 002; Fumin Shen; Li Liu 004; Fan Zhu 001; Dongxiang Zhang; Heng Tao Shen (IEEE Trans. Knowl. Data Eng., 2020)

Approximate Kernel Selection via Matrix Approximation. - Lizhong Ding 001; Shizhong Liao; Yong Liu 018; Li Liu 004; Fan Zhu 001; Yazhou Yao; Ling Shao 001; Xin Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Exploiting Web Images for Multi-Output Classification: From Category to Subcategories. - Yazhou Yao; Fumin Shen; Guo-Sen Xie; Li Liu 004; Fan Zhu 001; Jian Zhang 002; Heng Tao Shen (IEEE Trans. Neural Networks Learn. Syst., 2020)

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation. - Yazhou Yao; Tao Chen 012; Guo-Sen Xie; Chuanyi Zhang; Fumin Shen; Qi Wu 001; Zhenmin Tang; Jian Zhang 002 (CVPR, 2021)

Jo-SRC: A Contrastive Approach for Combating Noisy Labels. - Yazhou Yao; Zeren Sun; Chuanyi Zhang; Fumin Shen; Qi Wu 001; Jian Zhang 002; Zhenmin Tang (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 001; Jian Zhang 002; Heng Tao Shen (ICCV, 2021)

Few-Shot Semantic Segmentation with Cyclic Memory Network. - Guo-Sen Xie; Huan Xiong; Jie Liu 043; Yazhou Yao; Ling Shao 001 (ICCV, 2021)

Link Prediction with Multiple Structural Attentions in Multiplex Networks. - Shangrong Huang; Quanyu Ma; Chao Yang 015; Yazhou Yao (IJCNN, 2021)

CAA: Candidate-Aware Aggregation for Temporal Action Detection. - Yifan Ren; Xing Xu 001; Fumin Shen; Yazhou Yao; Huimin Lu 001 (ACM Multimedia, 2021)

Video Representation Learning with Graph Contrastive Augmentation. - Jingran Zhang; Xing Xu 001; Fumin Shen; Yazhou Yao; Jie Shao 001; Xiaofeng Zhu 001 (ACM Multimedia, 2021)

Curriculum-Based Meta-learning. - Ji Zhang 012; Jingkuan Song; Yazhou Yao; Lianli Gao (ACM Multimedia, 2021)

Extracting Useful Knowledge from Noisy Web Images via Data Purification for Fine-Grained Recognition. - Chuanyi Zhang; Yazhou Yao; Xing Xu 001; Jie Shao 001; Jingkuan Song; Zechao Li; Zhenmin Tang (ACM Multimedia, 2021)

Local Self-Attention on Fine-grained Cross-media Retrieval. - Chen Wang; Yazhou Yao; Qiong Wang 003; Zhenmin Tang (MMAsia, 2021)

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones. - Huafeng Liu 004; Chuanyi Zhang; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Jian Zhang 002; Zhenmin Tang (CoRR, 2021)

Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation. - Tao Chen 012; Guo-Sen Xie; Yazhou Yao; Qiong Wang 003; Fumin Shen; Zhenmin Tang; Jian Zhang 002 (CoRR, 2021)

Knowledge memorization and generation for action recognition in still images. - Jian Dong; Wankou Yang; Yazhou Yao; Fatih Porikli (Pattern Recognit., 2021)

Exploiting textual queries for dynamically visual disambiguation. - Zeren Sun; Yazhou Yao; Jimin Xiao; Lei Zhang 054; Jian Zhang 002; Zhenmin Tang (Pattern Recognit., 2021)

VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning. - Guo-Sen Xie; Xu-Yao Zhang; Yazhou Yao; Zheng Zhang 006; Fang Zhao 006; Ling Shao 001 (IEEE Trans. Image Process., 2021)

Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval. - Haofeng Zhang 001; Yifan Gu; Yazhou Yao; Zheng Zhang 006; Li Liu 004; Jian Zhang 002; Ling Shao 001 (IEEE Trans. Multim., 2021)

PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction. - Zeren Sun; Fumin Shen; Dan Huang; Qiong Wang 003; Xiangbo Shu; Yazhou Yao; Jinhui Tang 001 (CVPR, 2022)

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation. - Gensheng Pei; Fumin Shen; Yazhou Yao; Guo-Sen Xie; Zhenmin Tang; Jinhui Tang 001 (ECCV (34), 2022)

Exploring Linear Feature Disentanglement for Neural Networks. - Tiantian He; Zhibin Li 002; Yongshun Gong; Yazhou Yao; Xiushan Nie; Yilong Yin (ICME, 2022)

Feature Difference Enhancement Fusion for Remote Sensing Image Change Detection. - Renjie Hu; Gensheng Pei; Pai Peng; Tao Chen 012; Yazhou Yao (PRCV (3), 2022)

Unsupervised Pre-training for 3D Object Detection with Transformer. - Maosheng Sun; Xiaoshui Huang; Zeren Sun; Qiong Wang 003; Yazhou Yao (PRCV (3), 2022)

Few-Shot Object Detection via Understanding Convolution and Attention. - Jiaxing Tong; Tao Chen 012; Qiong Wang 003; Yazhou Yao (PRCV (1), 2022)

An Uncertainly Dynamic Loss Correction and Global Sample Selection Method for Webly Supervised Fine-Grained Visual Classification. - Jian Guo; Mengying Ding; Qiong Wang 003; Chuanyi Zhang; Yazhou Yao (Circuits Syst. Signal Process., 2022)

DBFC-Net: a uniform framework for fine-grained cross-media retrieval. - Qiong Wang 003; Youdong Guo; Yazhou Yao (Multim. Syst., 2022)

Dense Semantics-Assisted Networks for Video Action Recognition. - Haonan Luo; Guosheng Lin; Yazhou Yao; Zhenmin Tang; Qingyao Wu; Xiansheng Hua 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation. - Feiyi Fang; Yazhou Yao; Tao Zhou 002; Guo-Sen Xie; Jianfeng Lu 003 (IEEE J. Biomed. Health Informatics, 2022)

Self-Supervised Depth Completion From Direct Visual-LiDAR Odometry in Autonomous Driving. - Zhenbo Song; Jianfeng Lu 003; Yazhou Yao; Jian Zhang 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation. - Tao Chen 012; Guo-Sen Xie; Yazhou Yao; Qiong Wang 003; Fumin Shen; Zhenmin Tang; Jian Zhang 002 (IEEE Trans. Multim., 2022)

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples. - Huafeng Liu 004; Chuanyi Zhang; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Zhenmin Tang; Jian Zhang 002 (IEEE Trans. Multim., 2022)

Guest Editorial: Learning From Noisy Multimedia Data. - Jian Zhang 002; Alan Hanjalic; Ramesh C. Jain; Xian-Sheng Hua 001; Shin'ichi Satoh 001; Yazhou Yao; Dan Zeng 001 (IEEE Trans. Multim., 2022)

Multimodal Marketing Intent Analysis for Effective Targeted Advertising. - Lu Zhang 062; Jialie Shen 001; Jian Zhang 002; Jingsong Xu; Zhibin Li 002; Yazhou Yao; Litao Yu (IEEE Trans. Multim., 2022)

Semi-Supervised Semantic Segmentation With Region Relevance. - Rui Chen; Tao Chen 012; Qiong Wang 003; Yazhou Yao (ICME, 2023)

Attention Map Guided Transformer Pruning for Edge Device. - Junzhu Mao; Yazhou Yao; Zeren Sun; Xingguo Huang; Fumin Shen; Heng Tao Shen (CoRR, 2023)

Co-attention Propagation Network for Zero-Shot Video Object Segmentation. - Gensheng Pei; Yazhou Yao; Fumin Shen; Dan Huang; Xingguo Huang; Heng Tao Shen (CoRR, 2023)

Holistic Prototype Attention Network for Few-Shot VOS. - Yin Tang; Tao Chen 012; Xiruo Jiang; Yazhou Yao; Guo-Sen Xie; Heng Tao Shen (CoRR, 2023)

Hierarchical Graph Pattern Understanding for Zero-Shot VOS. - Gensheng Pei; Fumin Shen; Yazhou Yao; Tao Chen 012; Xian-Sheng Hua 001; Heng Tao Shen (CoRR, 2023)

Robust learning from noisy web data for fine-Grained recognition. - Zhenhuang Cai; Guo-Sen Xie; Xingguo Huang; Dan Huang; Yazhou Yao; Zhenmin Tang (Pattern Recognit., 2023)

Co-mining: Mining informative samples with noisy labels. - Zhenhuang Cai; Huafeng Liu 004; Dan Huang; Yazhou Yao; Zhenmin Tang (Signal Process., 2023)

Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation. - Tao Chen 012; Yazhou Yao; Jinhui Tang 001 (IEEE Trans. Image Process., 2023)

Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation. - Gensheng Pei; Fumin Shen; Yazhou Yao; Tao Chen 012; Xian-Sheng Hua 001; Heng Tao Shen (IEEE Trans. Image Process., 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 Trans. Image Process., 2023)

Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation. - Tao Chen 012; Yazhou Yao; Lei Zhang 054; Qiong Wang 003; Guo-Sen Xie; Fumin Shen (IEEE Trans. Multim., 2023)

FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network. - Huafeng Liu 004; Pai Peng; Tao Chen 012; Qiong Wang 003; Yazhou Yao; Xian-Sheng Hua 001 (IEEE Trans. Multim., 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 Trans. Multim., 2023)

Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data. - Zeren Sun; Yazhou Yao; Xiu-Shen Wei; Fumin Shen; Jian Zhang 002; Xian-Sheng Hua 001 (IEEE Trans. Multim., 2023)

Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition. - Chuanyi Zhang; Guosheng Lin; Qiong Wang 003; Fumin Shen; Yazhou Yao; Zhenmin Tang (IEEE Trans. Multim., 2023)

Motion Stimulation for Compositional Action Recognition. - Lei Ma; Yuhui Zheng; Zhao Zhang 001; Yazhou Yao; Xijian Fan; Qiaolin Ye (IEEE Trans. Circuits Syst. Video Technol., 2023)

Depth and Video Segmentation Based Visual Attention for Embodied Question Answering. - Haonan Luo; Guosheng Lin; Yazhou Yao; Fayao Liu; Zichuan Liu; Zhenmin Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Information bottleneck and selective noise supervision for zero-shot learning. - Lei Zhou 008; Yang Liu 357; Pengcheng Zhang 003; Xiao Bai 001; Lin Gu 003; Jun Zhou 001; Yazhou Yao; Tatsuya Harada; Jin Zheng; Edwin R. Hancock (Mach. Learn., 2023)

Guest Editorial: Learning from limited annotations for computer vision tasks. - Yazhou Yao; Wenguan Wang; Qiang Wu 001; Dongfang Liu; Jin Zheng (IET Comput. Vis., 2023)

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. - Mengmeng Sheng; Zeren Sun; Zhenhuang Cai; Tao Chen 012; Yichao Zhou; Yazhou Yao (AAAI, 2024)

Poly Kernel Inception Network for Remote Sensing Detection. - Xinhao Cai; Qiuxia Lai; Yuwei Wang; Wenguan Wang; Zeren Sun; Yazhou Yao (CVPR, 2024)

VideoMAC: Video Masked Autoencoders Meet ConvNets. - Gensheng Pei; Tao Chen 012; Xiruo Jiang; Huafeng Liu 004; Zeren Sun; Yazhou Yao (CVPR, 2024)

SMP-Track: SAM in Multi-Pedestrian Tracking. - Shiyin Wang; Huafeng Liu 004; Qiong Wang 003; Yichao Zhou; Yazhou Yao (DSAA, 2024)

Knowledge Transfer with Simulated Inter-image Erasing for Weakly Supervised Semantic Segmentation. - Tao Chen 012; Xiruo Jiang; Gensheng Pei; Zeren Sun; Yucheng Wang; Yazhou Yao (ECCV (42), 2024)

Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs. - Shuchao Pang; Ruhao Ma; Bing Li 002; Yongbin Zhou; Yazhou Yao (ECCV (83), 2024)

Foster Adaptivity and Balance in Learning with Noisy Labels. - Mengmeng Sheng; Zeren Sun; Tao Chen 012; Shuchao Pang; Yucheng Wang; Yazhou Yao (ECCV (27), 2024)

Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection. - Yuhao Gao; Gensheng Pei; Mengmeng Sheng; Zeren Sun; Tao Chen 012; Yazhou Yao (ICME, 2024)

Universal Organizer of Segment Anything Model for Unsupervised Semantic Segmentation. - Tingting Li; Gensheng Pei; Xinhao Cai; Qiong Wang 003; Huafeng Liu 004; Yazhou Yao (ICME, 2024)

Progressively Robust Loss for Deep Learning with Noisy Labels. - Zhenhuang Cai; Shuai Yan; Yuanbo Chen; Chuanyi Zhang; Zeren Sun; Yazhou Yao (IJCNN, 2024)

AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition. - Meiqi Cao; Rui Yan 010; Xiangbo Shu; Guangzhao Dai; Yazhou Yao; Guo-Sen Xie (ACM Multimedia, 2024)

Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach. - Mengmeng Sheng; Zeren Sun; Gensheng Pei; Tao Chen 012; Haonan Luo; Yazhou Yao (ACM Multimedia, 2024)

Delving Deeper Into Clean Samples for Combating Noisy Labels. - Yiyou Gao; Zeren Sun; Yazhou Yao; Xiruo Jiang; Zhenmin Tang (PRCV (9), 2024)

Group benefits instance for data purification. - Zhenhuang Cai; Chuanyi Zhang; Dan Huang; Yuanbo Chen; Xiuyun Guan; Yazhou Yao (Comput. Electr. Eng., 2024)

Group Benefits Instances Selection for Data Purification. - Zhenhuang Cai; Chuanyi Zhang; Dan Huang; Yuanbo Chen; Xiuyun Guan; Yazhou Yao (CoRR, 2024)

Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation. - Gensheng Pei; Yazhou Yao; Jianbo Jiao; Wenguan Wang; Liqiang Nie; Jinhui Tang 001 (CoRR, 2024)

Dual Dynamic Threshold Adjustment Strategy for Deep Metric Learning. - Xiruo Jiang; Yazhou Yao; Sheng Liu; Fumin Shen; Liqiang Nie; Xiansheng Hua 001 (CoRR, 2024)

A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images. - Wang Zhang 003; Tingting Li; Yuntian Zhang; Gensheng Pei; Xiruo Jiang; Yazhou Yao (CoRR, 2024)

Universal Organizer of SAM for Unsupervised Semantic Segmentation. - Tingting Li; Gensheng Pei; Xinhao Cai; Huafeng Liu 004; Qiong Wang 003; Yazhou Yao (CoRR, 2024)

Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric. - Xiruo Jiang; Yazhou Yao; Xili Dai; Fumin Shen; Xian-Sheng Hua 001; Heng Tao Shen (CoRR, 2024)

Relating CNN-Transformer Fusion Network for Change Detection. - Yuhao Gao; Gensheng Pei; Mengmeng Sheng; Zeren Sun; Tao Chen 012; Yazhou Yao (CoRR, 2024)

COMOGen: A Controllable Text-to-3D Multi-object Generation Framework. - Shaorong Sun; Shuchao Pang; Yazhou Yao; Xiaoshui Huang (CoRR, 2024)

UnitedVLN: Generalizable Gaussian Splatting for Continuous Vision-Language Navigation. - Guangzhao Dai; Jian Zhao 006; Yuantao Chen; Yusen Qin; Hao Zhao 002; Guo-Sen Xie; Yazhou Yao; Xiangbo Shu; Xuelong Li 001 (CoRR, 2024)

FTMoMamba: Motion Generation with Frequency and Text State Space Models. - Chengjian Li; Xiangbo Shu; Qiongjie Cui; Yazhou Yao; Jinhui Tang 001 (CoRR, 2024)

Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization. - Yang Shen; Xiu-Shen Wei; Yifan Sun 003; Yuxin Song; Tao Yuan; Jian Jin; Heyang Xu; Yazhou Yao; Errui Ding (CoRR, 2024)

Class Probability Space Regularization for semi-supervised semantic segmentation. - Jianjian Yin; Shuai Yan; Tao Chen 012; Yi Chen 023; Yazhou Yao (Comput. Vis. Image Underst., 2024)

LTFormer: A light-weight transformer-based self-supervised matching network for heterogeneous remote sensing images. - Wang Zhang 003; Tingting Li; Yuntian Zhang; Gensheng Pei; Xiruo Jiang; Yazhou Yao (Inf. Fusion, 2024)

Spatial Structure Constraints for Weakly Supervised Semantic Segmentation. - Tao Chen 012; Yazhou Yao; Xingguo Huang; Zechao Li; Liqiang Nie; Jinhui Tang 001 (IEEE Trans. Image Process., 2024)

Anti-Collapse Loss for Deep Metric Learning. - Xiruo Jiang; Yazhou Yao; Xili Dai; Fumin Shen; Liqiang Nie; Heng Tao Shen (IEEE Trans. Multim., 2024)

Learning With Imbalanced Noisy Data by Preventing Bias in Sample Selection. - Huafeng Liu 004; Mengmeng Sheng; Zeren Sun; Yazhou Yao; Xian-Sheng Hua 001; Heng Tao Shen (IEEE Trans. Multim., 2024)

Two-stage fine-grained image classification model based on multi-granularity feature fusion. - Yang Xu 006; Shanshan Wu; Biqi Wang; Ming Yang; Zebin Wu 001; Yazhou Yao; Zhihui Wei (Pattern Recognit., 2024)

Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information. - Xi Jiang 001; Sheng Liu; Xili Dai; Guosheng Hu; Xingguo Huang; Yazhou Yao; Guo-Sen Xie; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dual Dynamic Threshold Adjustment Strategy. - Xiruo Jiang; Yazhou Yao; Sheng Liu; Fumin Shen; Liqiang Nie; Xian-Sheng Hua 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Holistic Prototype Attention Network for Few-Shot Video Object Segmentation. - Yin Tang; Tao Chen 012; Xiruo Jiang; Yazhou Yao; Guo-Sen Xie; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2024)

Robust-EQA: Robust Learning for Embodied Question Answering With Noisy Labels. - Haonan Luo; Guosheng Lin; Fumin Shen; Xingguo Huang; Yazhou Yao; Hengtao Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition. - Luying Peng; Xiangbo Shu; Yazhou Yao; Guo-Sen Xie (AAAI, 2025)

Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels. - Xin-yang Zhao; Jian Jin; Yang-yang Li; Yazhou Yao (AAAI, 2025)

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection. - Gensheng Pei; Tao Chen 012; Yujia Wang; Xinhao Cai; Xiangbo Shu; Tianfei Zhou; Yazhou Yao (CVPR, 2025)

UNIALIGN: Scaling Multimodal Alignment within One Unified Model. - Bo Zhou; Liulei Li; Yujia Wang; Huafeng Liu 004; Yazhou Yao; Wenguan Wang (CVPR, 2025)

Prune and Merge: Efficient Token Compression for Vision Transformer With Spatial Information Preserved. - Junzhu Mao; Yang Shen; Jinyang Guo; Yazhou Yao; Xian-Sheng Hua 001; Hengtao Shen (IEEE Trans. Multim., 2025)

Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning. - Jianjian Yin; Tao Chen 012; Gensheng Pei; Yazhou Yao; Liqiang Nie; Xian-Sheng Hua 001 (CoRR, 2025)

Efficient Token Compression for Vision Transformer with Spatial Information Preserved. - Junzhu Mao; Yang Shen; Jinyang Guo; Yazhou Yao; Xian-Sheng Hua 001 (CoRR, 2025)

Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition. - Hongyu Qu; Ling Xing 003; Rui Yan 010; Yazhou Yao; Guo-Sen Xie; Xiangbo Shu (CoRR, 2025)