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ORCIDJun Yu 0002
Person information
- affiliation: Hangzhou Dianzi University, School of Computer Science, China
- affiliation (former): University of North Carolina at Charlotte, NC, USA
- affiliation (former): Xiamen University, School of Information Science and Technology, China
- affiliation (2012 - 2013): Microsoft Research Asia
- affiliation (2009 - 2011): Nanyang Technological University, School of Computer Engineering, Singapore
- affiliation (PhD 2009): Zhejiang University, College of Computer Science, China
Other persons with the same name
- Jun Yu — disambiguation page
- Jun Yu 0001
![[0000-0002-3197-8103]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3197-8103")
— University of Science and Technology of China, Department of Automation, Hefei, China - Jun Yu 0003 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Jun Yu 0004 — Chinese Academy of Sciences, Beijing Institute of Genomics, China (and 1 more)
- Jun Yu 0005 — Umeå University, Umeå, Sweden
- Jun Yu 0006 — Singapore Management University, Singapore, Singapore
- Jun Yu 0007 — Kochi University of Technology, Kami, Japan
- Jun Yu 0008 — London School of Economics and Political Science, London, UK
- Jun Yu 0009 — Li Ka Shing Institute of Health Sciences, Hong Kong, China (and 1 more)
- Jun Yu 0010 — Fudan University, State Key Lab of ASIC & System, Shanghai, China
- Jun Yu 0011 — Zhengzhou University of Light Industry, College of Computer and Communication Engineering, China (and 1 more)
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Journal Articles
- 2024
[j140]Huiting Fan, Xingnan Zhang, Yingying Xu, Jiangxiong Fang, Shiqing Zhang, Xiaoming Zhao, Jun Yu:
Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals. Inf. Fusion 104: 102161 (2024)- [j139]Min Tan, Ruirui Wang, Ankur Purwar, Tao Jin, Jun Yu, Alex C. Kot:
GTADT: Gated tone-sensitive acne grading via augmented domain transfer. Multim. Tools Appl. 83(8): 24875-24897 (2024) - [j138]Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu:
Regularly Truncated M-Estimators for Learning With Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3522-3536 (2024) - [j137]Ting Yu, Xiaojun Lin, Shuhui Wang, Weiguo Sheng, Qingming Huang, Jun Yu:
A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1322-1338 (2024) - [j136]Min Meng, Jiaxuan Sun, Jigang Liu, Jun Yu, Jigang Wu:
Semantic Disentanglement Adversarial Hashing for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1914-1926 (2024) - [j135]Guobao Xiao, Zhimin Tang, Hanlin Guo, Jun Yu, Heng Tao Shen:
FAFusion: Learning for Infrared and Visible Image Fusion via Frequency Awareness. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j134]Ke Zhang, Hanliang Jiang, Jian Zhang, Qingming Huang, Jianping Fan, Jun Yu, Weidong Han:
Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency. IEEE Trans. Multim. 26: 904-915 (2024) - [j133]Ke Zhang, Yan Yang, Jun Yu, Hanliang Jiang, Jianping Fan, Qingming Huang, Weidong Han:
Multi-Task Paired Masking With Alignment Modeling for Medical Vision-Language Pre-Training. IEEE Trans. Multim. 26: 4706-4721 (2024) - [j132]Xiaoling Gu, Jie Huang, Yongkang Wong, Jun Yu, Jianping Fan, Pai Peng, Mohan S. Kankanhalli:
PAINT: Photo-realistic Fashion Design Synthesis. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 48:1-48:23 (2024) - 2023
- [j131]Xiaoming Zhao, Yuehui Liao, Jiahao Xie, Xiaxia He, Shiqing Zhang, Guoyu Wang, Jiangxiong Fang, Hongsheng Lu, Jun Yu:
BreastDM: A DCE-MRI dataset for breast tumor image segmentation and classification. Comput. Biol. Medicine 164: 107255 (2023) - [j130]Yijun Song, Jingwen Wang, Lin Ma, Jun Yu, Jinxiu Liang, Liu Yuan, Zhou Yu:
MARN: Multi-level Attentional Reconstruction Networks for Weakly Supervised Video Temporal Grounding. Neurocomputing 554: 126625 (2023) - [j129]Zhexin Zhang, Jiajun Ding, Jun Yu, Yiming Yuan, Jianping Fan:
Import vertical characteristic of rain streak for single image deraining. Multim. Syst. 29(1): 105-115 (2023) - [j128]Jiajun Ding, Beili Liu, Jun Yu, Huanlei Guo, Ming Shen, Kenong Shen:
An efficient multi-path structure with staged connection and multi-scale mechanism for text-to-image synthesis. Multim. Syst. 29(3): 1391-1403 (2023) - [j127]Zhenying Fang, Jianping Fan, Jun Yu:
LPR: learning point-level temporal action localization through re-training. Multim. Syst. 29(5): 2545-2562 (2023) - [j126]Bofeng Wu, Buyu Liu, Peng Huang, Jun Bao, Peng Xi, Jun Yu:
Concept Parser With Multimodal Graph Learning for Video Captioning. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4484-4495 (2023) - [j125]Min Tan, Tao Jin, Danhui Ye, Kuiwen Xu, Xiaoling Gu, Jun Yu:
Electromagnetic Imaging Boosted Visual Object Recognition Under Difficult Visual Conditions. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j124]Yan Yang, Jun Yu, Jian Zhang, Weidong Han, Hanliang Jiang, Qingming Huang:
Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation. IEEE Trans. Multim. 25: 167-178 (2023) - [j123]Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu, Ligang Liu:
Dual-Level Adaptive and Discriminative Knowledge Transfer for Cross-Domain Recognition. IEEE Trans. Multim. 25: 2266-2279 (2023) - [j122]Zhou Yu, Zitian Jin, Jun Yu, Mingliang Xu, Hongbo Wang, Jianping Fan:
Bilaterally Slimmable Transformer for Elastic and Efficient Visual Question Answering. IEEE Trans. Multim. 25: 9543-9556 (2023) - 2022
- [j121]Meng Wang, Chi Zhang, Shijie Hao, Jun Yu, Tingting Mu:
Guest Editorial: Intelligent information processing and services in media convergence. Int. J. Intell. Syst. 37(5): 2931-2933 (2022) - [j120]Jian Zhang, Jianing Yang, Jun Yu, Jianping Fan:
Semisupervised image classification by mutual learning of multiple self-supervised models. Int. J. Intell. Syst. 37(5): 3117-3141 (2022) - [j119]Silin Cai, Changping Wang, Jiajun Ding, Jun Yu, Jianping Fan:
FDAM: full-dimension attention module for deep convolutional neural networks. Int. J. Multim. Inf. Retr. 11(4): 599-610 (2022) - [j118]Xiena Dong, Jun Yu, Jian Zhang:
Joint usage of global and local attentions in hourglass network for human pose estimation. Neurocomputing 472: 95-102 (2022) - [j117]Tingting Han, Sicheng Zhao, Xiaoshuai Sun, Jun Yu:
Modeling long-term video semantic distribution for temporal action proposal generation. Neurocomputing 490: 217-225 (2022) - [j116]Tao Jin, Zhou Zhao, Peng Wang, Jun Yu, Fei Wu:
Interaction augmented transformer with decoupled decoding for video captioning. Neurocomputing 492: 496-507 (2022) - [j115]Yan Yang, Jun Yu, Hanliang Jiang, Weidong Han, Jian Zhang, Wei Jiang:
A contrastive triplet network for automatic chest X-ray reporting. Neurocomputing 502: 71-83 (2022) - [j114]Tingting Han, Kai Wang, Jun Yu, Jianping Fan:
Weakly supervised moment localization with natural language based on semantic reconstruction. Image Vis. Comput. 126: 104532 (2022) - [j113]Jun Yu, Min Tan, Hongyuan Zhang, Yong Rui, Dacheng Tao:
Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 563-578 (2022) - [j112]Mengcheng Lan, Min Meng, Jun Yu, Jigang Wu:
Generalized Multi-View Collaborative Subspace Clustering. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3561-3574 (2022) - [j111]Min Meng, Zhuanghui Wu, Tianyou Liang, Jun Yu, Jigang Wu:
Exploring Fine-Grained Cluster Structure Knowledge for Unsupervised Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5481-5494 (2022) - [j110]Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu:
Towards Knowledge-Aware Video Captioning via Transitive Visual Relationship Detection. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6753-6765 (2022) - [j109]Pengcheng Zhang, Zhou Zhao, Nannan Wang, Jun Yu, Fei Wu:
Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(10): 7133-7146 (2022) - [j108]Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu:
Multiview Consensus Structure Discovery. IEEE Trans. Cybern. 52(5): 3469-3482 (2022) - [j107]Jun Bao, Buyu Liu, Jun Yu:
An Individual-Difference-Aware Model for Cross-Person Gaze Estimation. IEEE Trans. Image Process. 31: 3322-3333 (2022) - [j106]Zhaoyu Guo, Zhou Zhao, Weike Jin, Dazhou Wang, Ruitao Liu, Jun Yu:
TaoHighlight: Commodity-Aware Multi-Modal Video Highlight Detection in E-Commerce. IEEE Trans. Multim. 24: 2606-2616 (2022) - [j105]Min Tan, Fu Yuan, Jun Yu, Guijun Wang, Xiaoling Gu:
Fine-grained Image Classification via Multi-scale Selective Hierarchical Biquadratic Pooling. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 31:1-31:23 (2022) - [j104]Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao, Changsheng Xu:
Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 72:1-72:18 (2022) - 2021
- [j103]Zonggui Yao, Jun Yu, Jiajun Ding:
Contrastive learning of graph encoder for accelerating pedestrian trajectory prediction training. IET Image Process. 15(14): 3645-3660 (2021) - [j102]Zhenzhong Kuang, Xin Zhang, Jun Yu, Zongmin Li, Jianping Fan:
Deep embedding of concept ontology for hierarchical fashion recognition. Neurocomputing 425: 191-206 (2021) - [j101]Zhenzhong Kuang, Zhiqiang Guo, Jinglong Fang, Jun Yu, Noboru Babaguchi, Jianping Fan:
Unnoticeable synthetic face replacement for image privacy protection. Neurocomputing 457: 322-333 (2021) - [j100]Jiajun Ding, Huanlei Guo, Hang Zhou, Jun Yu, Xiongxiong He, Bo Jiang:
Distributed feedback network for single-image deraining. Inf. Sci. 572: 611-626 (2021) - [j99]Ting Yu, Jun Yu, Zhou Yu, Qingming Huang, Qi Tian:
Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks. IEEE Trans. Circuits Syst. Video Technol. 31(3): 931-944 (2021) - [j98]Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu:
Coupled Knowledge Transfer for Visual Data Recognition. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1776-1789 (2021) - [j97]Jun Yu, Jinghan Yao, Jian Zhang, Zhou Yu, Dacheng Tao:
SPRNet: Single-Pixel Reconstruction for One-Stage Instance Segmentation. IEEE Trans. Cybern. 51(4): 1731-1742 (2021) - [j96]Jun Yu, Xingxin Xu, Fei Gao, Shengjie Shi, Meng Wang, Dacheng Tao, Qingming Huang:
Toward Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs. IEEE Trans. Cybern. 51(9): 4350-4362 (2021) - [j95]Min Meng, Haitao Wang, Jun Yu, Hui Chen, Jigang Wu:
Asymmetric Supervised Consistent and Specific Hashing for Cross-Modal Retrieval. IEEE Trans. Image Process. 30: 986-1000 (2021) - [j94]Fei Gao, Xingxin Xu, Jun Yu, Meimei Shang, Xiang Li, Dacheng Tao:
Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation. IEEE Trans. Image Process. 30: 3487-3498 (2021) - [j93]Xiaoling Gu, Jun Yu, Yongkang Wong, Mohan S. Kankanhalli:
Toward Multi-Modal Conditioned Fashion Image Translation. IEEE Trans. Multim. 23: 2361-2371 (2021) - 2020
- [j92]Lin Zhao, Meimei Shang, Fei Gao, Rongsheng Li, Fei Huang, Jun Yu:
Representation learning of image composition for aesthetic prediction. Comput. Vis. Image Underst. 199: 103024 (2020) - [j91]Yunyin Cao, Jian Zhang, Jun Yu:
Image Retrieval via Gated Multiscale NetVLAD for Social Media Applications. IEEE Multim. 27(4): 69-78 (2020) - [j90]Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
Multi-task Compositional Network for Visual Relationship Detection. Int. J. Comput. Vis. 128(8): 2146-2165 (2020) - [j89]Fei Gao, Ziyun Li, Jun Yu, Junze Yu, Qingming Huang, Qi Tian:
Style-adaptive photo aesthetic rating via convolutional neural networks and multi-task learning. Neurocomputing 395: 247-254 (2020) - [j88]Jun Yu, Yezhou Yang, Fionn Murtagh, Xinbo Gao:
Fine-grained visual understanding and reasoning. Neurocomputing 398: 408-410 (2020) - [j87]Min Tan, Jian Zhou, Zhiyou Peng, Jun Yu, Fang Tang:
Fine-grained image classification with factorized deep user click feature. Inf. Process. Manag. 57(3): 102186 (2020) - [j86]Fei Gao, Jingjie Zhu, Hanliang Jiang, Zhenxing Niu, Weidong Han, Jun Yu:
Incremental focal loss GANs. Inf. Process. Manag. 57(3): 102192 (2020) - [j85]Zhou Yu, Yijun Song, Jun Yu, Meng Wang, Qingming Huang:
Intra- and Inter-modal Multilinear Pooling with Multitask Learning for Video Grounding. Neural Process. Lett. 52(3): 1863-1879 (2020) - [j84]Tingting Han, Hongxun Yao, Wenlong Xie, Xiaoshuai Sun, Sicheng Zhao, Jun Yu:
TVENet: Temporal variance embedding network for fine-grained action representation. Pattern Recognit. 103: 107267 (2020) - [j83]Jiwen Lu, Yuxin Peng, Guo-Jun Qi, Jun Yu:
Guest Editorial Introduction to the Special Section on Representation Learning for Visual Content Understanding. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2797-2800 (2020) - [j82]Jun Yu, Jing Li, Zhou Yu, Qingming Huang:
Multimodal Transformer With Multi-View Visual Representation for Image Captioning. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4467-4480 (2020) - [j81]Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu, Dapeng Tao:
Constrained Discriminative Projection Learning for Image Classification. IEEE Trans. Image Process. 29: 186-198 (2020) - [j80]Ting Yu, Jun Yu, Zhou Yu, Dacheng Tao:
Compositional Attention Networks With Two-Stream Fusion for Video Question Answering. IEEE Trans. Image Process. 29: 1204-1218 (2020) - [j79]Jun Yu, Chaoyang Zhu, Jian Zhang, Qingming Huang, Dacheng Tao:
Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(2): 661-674 (2020) - [j78]Suguo Zhu, Xiaoxian Yang, Jun Yu, Zhenying Fang, Meng Wang, Qingming Huang:
Proposal Complementary Action Detection. ACM Trans. Multim. Comput. Commun. Appl. 16(2s): 64:1-64:12 (2020) - 2019
- [j77]Chenchao Xiang, Zhou Yu, Suguo Zhu, Jun Yu, Xiaokang Yang:
End-to-end visual grounding via region proposal networks and bilinear pooling. IET Comput. Vis. 13(2): 131-138 (2019) - [j76]Xiaoyuan Wang, Xiaotao Min, Jun Yu, Yiran Shen, Guangyi Wang, Herbert Ho-Ching Iu:
Realization of a Novel Logarithmic Chaotic System and Its Characteristic Analysis. Int. J. Bifurc. Chaos 29(2): 1930004:1-1930004:12 (2019) - [j75]Suguo Zhu, Zhenying Fang, Yi Wang, Jun Yu, Junping Du:
Multimodal activity recognition with local block CNN and attention-based spatial weighted CNN. J. Vis. Commun. Image Represent. 60: 38-43 (2019) - [j74]Tianyi Zhao, Qiuyu Chen, Zhenzhong Kuang, Jun Yu, Wei Zhang, Jianping Fan:
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1072-1087 (2019) - [j73]Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao:
Adapting Stochastic Block Models to Power-Law Degree Distributions. IEEE Trans. Cybern. 49(2): 626-637 (2019) - [j72]Chaoqun Hong, Jun Yu, Jian Zhang, Xiongnan Jin, Kyong-Ho Lee:
Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning. IEEE Trans. Ind. Informatics 15(7): 3952-3961 (2019) - [j71]Min Meng, Jun Yu:
Zero-Shot Learning via Robust Latent Representation and Manifold Regularization. IEEE Trans. Image Process. 28(4): 1824-1836 (2019) - [j70]Fumin Shen, Xiang Zhou, Jun Yu, Yang Yang, Li Liu, Heng Tao Shen:
Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings. IEEE Trans. Image Process. 28(7): 3662-3674 (2019) - [j69]Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhenxin Xiao, Xiaohui Yan, Jun Yu, Deng Cai, Fei Wu:
Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks. IEEE Trans. Image Process. 28(12): 5939-5952 (2019) - [j68]Min Tan, Jun Yu, Hongyuan Zhang, Yong Rui, Dacheng Tao:
Image Recognition by Predicted User Click Feature With Multidomain Multitask Transfer Deep Network. IEEE Trans. Image Process. 28(12): 6047-6062 (2019) - [j67]Zhenzhong Kuang, Jun Yu, Suguo Zhu, Zongmin Li, Jianping Fan:
Effective 3-D Shape Retrieval by Integrating Traditional Descriptors and Pointwise Convolution. IEEE Trans. Multim. 21(12): 3164-3177 (2019) - 2018
- [j66]Min Tan, Jun Yu, Qingming Huang, Weichen Wu:
Click data guided query modeling with click propagation and sparse coding. Multim. Tools Appl. 77(17): 22145-22158 (2018) - [j65]Jun Yu, Xue Mei, Fatih Porikli, Jason J. Corso:
Machine learning for big visual analysis. Mach. Vis. Appl. 29(6): 929-931 (2018) - [j64]Zhenzhong Kuang, Jun Yu, Zongmin Li, Baopeng Zhang, Jianping Fan:
Integrating multi-level deep learning and concept ontology for large-scale visual recognition. Pattern Recognit. 78: 198-214 (2018) - [j63]Fei Gao, Jun Yu, Suguo Zhu, Qingming Huang, Qi Tian:
Blind image quality prediction by exploiting multi-level deep representations. Pattern Recognit. 81: 432-442 (2018) - [j62]Jun Yu, Kejia Sun, Fei Gao, Suguo Zhu:
Face biometric quality assessment via light CNN. Pattern Recognit. Lett. 107: 25-32 (2018) - [j61]Jun Yu, Di Huang, Zhongliang Wei:
Unsupervised image segmentation via Stacked Denoising Auto-encoder and hierarchical patch indexing. Signal Process. 143: 346-353 (2018) - [j60]Jun Yu, Chaoqun Hong, Yong Rui, Dacheng Tao:
Multitask Autoencoder Model for Recovering Human Poses. IEEE Trans. Ind. Electron. 65(6): 5060-5068 (2018) - [j59]Jun Yu, Zhenzhong Kuang, Baopeng Zhang, Wei Zhang, Dan Lin, Jianping Fan:
Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing. IEEE Trans. Inf. Forensics Secur. 13(5): 1317-1332 (2018) - [j58]Jian Zhang, Jun Yu, Dacheng Tao:
Local Deep-Feature Alignment for Unsupervised Dimension Reduction. IEEE Trans. Image Process. 27(5): 2420-2432 (2018) - [j57]Tianyi Zhao, Baopeng Zhang, Ming He, Wei Zhang, Ning Zhou, Jun Yu, Jianping Fan:
Embedding Visual Hierarchy With Deep Networks for Large-Scale Visual Recognition. IEEE Trans. Image Process. 27(10): 4740-4755 (2018) - [j56]Zhou Yu, Jun Yu, Chenchao Xiang, Jianping Fan, Dacheng Tao:
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5947-5959 (2018) - [j55]Min Tan, Jun Yu, Zhou Yu, Fei Gao, Yong Rui, Dacheng Tao:
User-Click-Data-Based Fine-Grained Image Recognition via Weakly Supervised Metric Learning. ACM Trans. Multim. Comput. Commun. Appl. 14(3): 70:1-70:23 (2018) - 2017
- [j54]Jun Yu, Jitao Sang, Xinbo Gao:
Machine learning and signal processing for big multimedia analysis. Neurocomputing 257: 1-4 (2017) - [j53]Fei Gao, Yi Wang, Panpeng Li, Min Tan, Jun Yu, Yani Zhu:
DeepSim: Deep similarity for image quality assessment. Neurocomputing 257: 104-114 (2017) - [j52]Jun Yu, Chaoqun Hong:
Exemplar-based 3D human pose estimation with sparse spectral embedding. Neurocomputing 269: 82-89 (2017) - [j51]Chaoqun Hong, Jun Yu, Jane Jia You, Zhiwen Yu, Xuhui Chen:
Three-dimensional image-based human pose recovery with hypergraph regularized autoencoders. Multim. Tools Appl. 76(8): 10919-10937 (2017) - [j50]Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao:
Diversified dictionaries for multi-instance learning. Pattern Recognit. 64: 407-416 (2017) - [j49]Kun Zeng, Jun Yu, Ruxin Wang, Cuihua Li, Dacheng Tao:
Coupled Deep Autoencoder for Single Image Super-Resolution. IEEE Trans. Cybern. 47(1): 27-37 (2017) - [j48]Jun Yu, Xiaokang Yang, Fei Gao, Dacheng Tao:
Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking. IEEE Trans. Cybern. 47(12): 4014-4024 (2017) - [j47]Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li:
Constrained Low-Rank Learning Using Least Squares-Based Regularization. IEEE Trans. Cybern. 47(12): 4250-4262 (2017) - [j46]Jun Yu, Baopeng Zhang, Zhengzhong Kuang, Dan Lin, Jianping Fan:
iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning. IEEE Trans. Inf. Forensics Secur. 12(5): 1005-1016 (2017) - [j45]Jianping Fan, Tianyi Zhao, Zhenzhong Kuang, Yu Zheng, Ji Zhang, Jun Yu, Jinye Peng:
HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition. IEEE Trans. Image Process. 26(4): 1923-1938 (2017) - 2016
- [j44]Jun Yu, Dapeng Tao, Richang Hong, Xinbo Gao:
Recent developments on deep big vision. Neurocomputing 187: 1-3 (2016) - [j43]Renjie Zhou, Samamon Khemmarat, Lixin Gao, Jian Wan, Jilin Zhang, Yuyu Yin, Jun Yu:
Boosting video popularity through keyword suggestion and recommendation systems. Neurocomputing 205: 529-541 (2016) - [j42]Ping Li, Jiajun Bu, Jun Yu, Chun Chen:
Towards robust subspace recovery via sparsity-constrained latent low-rank representation. J. Vis. Commun. Image Represent. 37: 46-52 (2016) - [j41]Chaoqun Hong, Jianke Zhu, Jun Yu, Jun Cheng, Xuhui Chen:
Realtime and robust object matching with a large number of templates. Multim. Tools Appl. 75(3): 1459-1480 (2016) - [j40]Jian Zhang, Jun Yu, Jane You, Dapeng Tao, Na Li, Jun Cheng:
Data-driven facial animation via semi-supervised local patch alignment. Pattern Recognit. 57: 1-20 (2016) - [j39]Fei Gao, Jun Yu:
Biologically inspired image quality assessment. Signal Process. 124: 210-219 (2016) - 2015
- [j38]Jun Yu, Yukun Guo, Dapeng Tao, Jian Wan:
Human pose recovery by supervised spectral embedding. Neurocomputing 166: 301-308 (2015) - [j37]Jian Zhang, Jun Yu, Jian Wan, Zhiqiang Zeng:
l2, 1 Norm regularized fisher criterion for optimal feature selection. Neurocomputing 166: 455-463 (2015) - [j36]Chaoqun Hong, Jun Yu, Jane You, Xuhui Chen, Dapeng Tao:
Multi-view ensemble manifold regularization for 3D object recognition. Inf. Sci. 320: 395-405 (2015) - [j35]Taisong Jin, Jun Yu, Jane You, Kun Zeng, Cuihua Li, Zhengtao Yu:
Low-rank matrix factorization with multiple Hypergraph regularizer. Pattern Recognit. 48(3): 1011-1022 (2015) - [j34]Jun Yu, Huiyu Zhou, Xinbo Gao:
Machine learning and signal processing for human pose recovery and behavior analysis. Signal Process. 110: 1-4 (2015) - [j33]Jun Yu, Chaoqun Hong, Dapeng Tao, Meng Wang:
Semantic embedding for indoor scene recognition by weighted hypergraph learning. Signal Process. 112: 129-136 (2015) - [j32]Jun Yu, Dacheng Tao, Meng Wang, Yong Rui:
Learning to Rank Using User Clicks and Visual Features for Image Retrieval. IEEE Trans. Cybern. 45(4): 767-779 (2015) - [j31]Chaoqun Hong, Jun Yu, Dacheng Tao, Meng Wang:
Image-Based Three-Dimensional Human Pose Recovery by Multiview Locality-Sensitive Sparse Retrieval. IEEE Trans. Ind. Electron. 62(6): 3742-3751 (2015) - [j30]Chaoqun Hong, Jun Yu, Jian Wan, Dacheng Tao, Meng Wang:
Multimodal Deep Autoencoder for Human Pose Recovery. IEEE Trans. Image Process. 24(12): 5659-5670 (2015) - 2014
- [j29]Kun Zeng, Jun Yu, Cuihua Li, Jane You, Taisong Jin:
Image clustering by hyper-graph regularized non-negative matrix factorization. Neurocomputing 138: 209-217 (2014) - [j28]Yusen Li, Jun Yu, Dapeng Tao:
Genetic algorithm for spanning tree construction in P2P distributed interactive applications. Neurocomputing 140: 185-192 (2014) - [j27]Jun Yu, Dapeng Tao, Jonathan Li, Jun Cheng:
Semantic preserving distance metric learning and applications. Inf. Sci. 281: 674-686 (2014) - [j26]Jun Yu, Richang Hong, Meng Wang, Jane You:
Image clustering based on sparse patch alignment framework. Pattern Recognit. 47(11): 3512-3519 (2014) - [j25]Jun Yu, Yong Rui, Yuan Yan Tang, Dacheng Tao:
High-Order Distance-Based Multiview Stochastic Learning in Image Classification. IEEE Trans. Cybern. 44(12): 2431-2442 (2014) - [j24]Jun Yu, Yong Rui, Dacheng Tao:
Click Prediction for Web Image Reranking Using Multimodal Sparse Coding. IEEE Trans. Image Process. 23(5): 2019-2032 (2014) - [j23]Jun Yu, Yong Rui, Bo Chen:
Exploiting Click Constraints and Multi-view Features for Image Re-ranking. IEEE Trans. Multim. 16(1): 159-168 (2014) - 2013
- [j22]Chaoqun Hong, Jun Yu, Jonathan Li, Xuhui Chen:
Multi-view hypergraph learning by patch alignment framework. Neurocomputing 118: 79-86 (2013) - [j21]Zhijun Song, Jun Yu, Changle Zhou, Meng Wang:
Automatic cartoon matching in computer-assisted animation production. Neurocomputing 120: 397-403 (2013) - [j20]Zhijun Song, Jun Yu, Changle Zhou, Dapeng Tao, Yi Xie:
Skeleton correspondence construction and its applications in animation style reusing. Neurocomputing 120: 461-468 (2013) - [j19]Chaojie Wang, Jun Yu, Dapeng Tao:
High-level attributes modeling for indoor scenes classification. Neurocomputing 121: 337-343 (2013) - [j18]Jun Yu, Dacheng Tao, Yong Rui, Jun Cheng:
Pairwise constraints based multiview features fusion for scene classification. Pattern Recognit. 46(2): 483-496 (2013) - 2012
- [j17]Jun Yu, Wei Bian, Mingli Song, Jun Cheng, Dacheng Tao:
Graph based transductive learning for cartoon correspondence construction. Neurocomputing 79: 105-114 (2012) - [j16]Hong Zhang, Jun Yu, Meng Wang, Yun Liu:
Semi-supervised distance metric learning based on local linear regression for data clustering. Neurocomputing 93: 100-105 (2012) - [j15]Jun Yu, Feng Lin, Hock Soon Seah, Cuihua Li, Ziyu Lin:
Image classification by multimodal subspace learning. Pattern Recognit. Lett. 33(9): 1196-1204 (2012) - [j14]Jun Yu, Jun Cheng, Dacheng Tao:
Interactive cartoon reusing by transfer learning. Signal Process. 92(9): 2147-2158 (2012) - [j13]Jun Yu, Dacheng Tao, Meng Wang:
Adaptive Hypergraph Learning and its Application in Image Classification. IEEE Trans. Image Process. 21(7): 3262-3272 (2012) - [j12]Jun Yu, Meng Wang, Dacheng Tao:
Semisupervised Multiview Distance Metric Learning for Cartoon Synthesis. IEEE Trans. Image Process. 21(11): 4636-4648 (2012) - [j11]Jun Yu, Dongquan Liu, Dacheng Tao, Hock Soon Seah:
On Combining Multiple Features for Cartoon Character Retrieval and Clip Synthesis. IEEE Trans. Syst. Man Cybern. Part B 42(5): 1413-1427 (2012) - 2011
- [j10]Dongquan Liu, Quan Chen, Jun Yu, Huiqin Gu, Dacheng Tao, Hock Soon Seah:
Stroke Correspondence Construction Using Manifold Learning. Comput. Graph. Forum 30(8): 2194-2207 (2011) - [j9]Jun Yu, Hock Soon Seah:
Fuzzy Diffusion Distance Learning for Cartoon Similarity Estimation. J. Comput. Sci. Technol. 26(2): 203-216 (2011) - [j8]Jun Yu, Dacheng Tao, Meng Wang, Jun Cheng:
Semi-automatic cartoon generation by motion planning. Multim. Syst. 17(5): 409-419 (2011) - [j7]Jun Yu, Hock Soon Seah, Yueting Zhuang:
Cartoon synthesis using constrained spreading activation network. Multim. Tools Appl. 51(3): 1147-1174 (2011) - [j6]Jun Yu, Dongquan Liu, Dacheng Tao, Hock Soon Seah:
Complex Object Correspondence Construction in Two-Dimensional Animation. IEEE Trans. Image Process. 20(11): 3257-3269 (2011) - 2010
- [j5]Jun Yu, Dongquan Liu, Hock Soon Seah:
Transductive graph based cartoon synthesis. Comput. Animat. Virtual Worlds 21(3-4): 277-288 (2010) - [j4]Yi Yang, Yueting Zhuang, Dacheng Tao, Dong Xu, Jun Yu, Jiebo Luo:
Recognizing Cartoon Image Gestures for Retrieval and Interactive Cartoon Clip Synthesis. IEEE Trans. Circuits Syst. Video Technol. 20(12): 1745-1756 (2010) - 2008
- [j3]Yueting Zhuang, Jun Yu, Jun Xiao, Cheng Chen:
Perspective-aware cartoon clips synthesis. Comput. Animat. Virtual Worlds 19(3-4): 355-364 (2008) - 2007
- [j2]Jun Yu, Yueting Zhuang, Jun Xiao, Cheng Chen:
Adaptive control in cartoon data reusing. Comput. Animat. Virtual Worlds 18(4-5): 571-582 (2007) - 2001
- [j1]Jianping Fan, Jun Yu, Gen Fujita, Takao Onoye, Lide Wu, Isao Shirakawa:
Spatiotemporal segmentation for compact video representation. Signal Process. Image Commun. 16(6): 553-566 (2001)
Conference and Workshop Papers
- 2024
- [c63]Yuan Zhou, Xin Chen, Yanrong Guo, Jun Yu, Richang Hong, Qi Tian:
Advancing Incremental Few-Shot Semantic Segmentation via Semantic-Guided Relation Alignment and Adaptation. MMM (1) 2024: 244-257 - 2023
- [c62]Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian:
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories. AAAI 2023: 3552-3560 - [c61]Yao Jin, Guocheng Niu, Xinyan Xiao, Jian Zhang, Xi Peng, Jun Yu:
Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering. AAAI 2023: 8141-8149 - [c60]Zhenwei Shao, Zhou Yu, Meng Wang, Jun Yu:
Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering. CVPR 2023: 14974-14983 - [c59]Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu:
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos. CVPR 2023: 23191-23200 - [c58]Zhaoqing Wang, Ziyu Chen, Yaqian Li, Yandong Guo, Jun Yu, Mingming Gong, Tongliang Liu:
Mosaic Representation Learning for Self-supervised Visual Pre-training. ICLR 2023 - [c57]Shengtao Lou, Buyu Liu, Jun Bao, Jiajun Ding, Jun Yu:
Follow-me: Deceiving Trackers with Fabricated Paths. ACM Multimedia 2023: 8808-8818 - [c56]Tingting Han, Yuanxin Lv, Zhou Yu, Jun Yu, Jianping Fan, Liu Yuan:
Contrastive Perturbation Network for Weakly Supervised Temporal Sentence Grounding. PRCV (1) 2023: 446-460 - 2022
- [c55]Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian:
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. CVPR 2022: 1310-1321 - [c54]Jun Bao, Buyu Liu, Jun Yu:
ESCNet: Gaze Target Detection with the Understanding of 3D Scenes. CVPR 2022: 14106-14115 - [c53]Tianyou Liang, Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu:
Group Correspondence: A Statistical Perspective for Incomplete Multi-View Clustering Augmentation. ICME 2022: 1-6 - [c52]Zhuanghui Wu, Tianyou Liang, Min Meng, Jigang Liu, Jun Yu, Jigang Wu:
Triple Disentangling Network for Unsupervised Domain Adaptation. ICME 2022: 1-6 - [c51]Shiqing Zhang, Ruixin Liu, Yijiao Yang, Xiaoming Zhao, Jun Yu:
Unsupervised Domain Adaptation Integrating Transformer and Mutual Information for Cross-Corpus Speech Emotion Recognition. ACM Multimedia 2022: 120-129 - [c50]Zhenzhong Kuang, Longbin Teng, Zhou Yu, Jun Yu, Jianping Fan, Mingliang Xu:
Delegate-based Utility Preserving Synthesis for Pedestrian Image Anonymization. ACM Multimedia 2022: 2314-2323 - 2021
- [c49]Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao:
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing. AAAI 2021: 4626-4634 - [c48]Rong Yang, Min Meng, Jun Yu, Jigang Wu:
Learning Controlled Semantic Embedding for Cross-Modal Retrieval. ICME 2021: 1-7 - [c47]Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu:
Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching. IJCAI 2021: 1157-1164 - [c46]Yuhao Cui, Zhou Yu, Chunqi Wang, Zhongzhou Zhao, Ji Zhang, Meng Wang, Jun Yu:
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration. ACM Multimedia 2021: 797-806 - [c45]Zhenzhong Kuang, Huigui Liu, Jun Yu, Aikui Tian, Lei Wang, Jianping Fan, Noboru Babaguchi:
Effective De-identification Generative Adversarial Network for Face Anonymization. ACM Multimedia 2021: 3182-3191 - [c44]Zeng Yan, Yan Zhong Yi, Jilin Zhang, Nailiang Zhao, Yongjian Ren, Jian Wan, Jun Yu:
Federated Learning Model Training Method Based on Data Features Perception Aggregation. VTC Fall 2021: 1-7 - 2020
- [c43]Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao:
Diversified Bayesian Nonnegative Matrix Factorization. AAAI 2020: 5420-5427 - [c42]Zhou Yu, Yuhao Cui, Jun Yu, Meng Wang, Dacheng Tao, Qi Tian:
Deep Multimodal Neural Architecture Search. ACM Multimedia 2020: 3743-3752 - [c41]Yanan Li, Jun Yu, Yibing Zhan, Zhi Chen:
Relationship graph learning network for visual relationship detection. MMAsia 2020: 59:1-59:7 - [c40]Huanbin Zeng, Suguo Zhu, Jun Yu:
Discriminative Regions Erasing Strategy for Weakly-Supervised Temporal Action Localization. PRCV (2) 2020: 639-651 - 2019
- [c39]Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao:
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering. AAAI 2019: 9127-9134 - [c38]Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
On Exploring Undetermined Relationships for Visual Relationship Detection. CVPR 2019: 5128-5137 - [c37]Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian:
Deep Modular Co-Attention Networks for Visual Question Answering. CVPR 2019: 6281-6290 - [c36]Qiuyu Chen, Wei Zhang, Jun Yu, Jianping Fan:
Embedding Complementary Deep Networks for Image Classification. CVPR 2019: 9238-9247 - [c35]Zhenying Fang, Suguo Zhu, Jun Yu, Qi Tian:
PCPCAD: Proposal Complementary Action Detector. ICME 2019: 424-429 - [c34]Weike Jin, Zhou Zhao, Mao Gu, Jun Yu, Jun Xiao, Yueting Zhuang:
Multi-interaction Network with Object Relation for Video Question Answering. ACM Multimedia 2019: 1193-1201 - [c33]Weike Jin, Zhou Zhao, Mao Gu, Jun Yu, Jun Xiao, Yueting Zhuang:
Video Dialog via Multi-Grained Convolutional Self-Attention Context Networks. SIGIR 2019: 465-474 - 2018
- [c32]Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao:
FishEyeRecNet: A Multi-context Collaborative Deep Network for Fisheye Image Rectification. ECCV (10) 2018: 475-490 - [c31]Haichao Zhang, Min Tan, Jun Yu:
Deep click feature based query merging for robust image recognition. ICIMCS 2018: 9:1-9:6 - [c30]Zhenzhong Kuang, Jun Yu, Jianping Fan, Min Tan:
Deep Point Convolutional Approach for 3D Model Retrieval. ICME 2018: 1-6 - [c29]Qiong Yang, Jun Yu, Jian-min Han:
Traffic Signals Timing Cycle Length Learning: Using Taxi Gps Trajectories. ICMLC 2018: 13-18 - [c28]Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao:
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding. IJCAI 2018: 1114-1120 - [c27]Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang:
Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks. IJCAI 2018: 3683-3689 - [c26]Zhenzhong Kuang, Jun Yu, Zhou Yu, Jianping Fan:
Ontology-Driven Hierarchical Deep Learning for Fashion Recognition. MIPR 2018: 19-24 - [c25]Yibing Zhan, Jun Yu, Zhou Yu, Rong Zhang, Dacheng Tao, Qi Tian:
Comprehensive Distance-Preserving Autoencoders for Cross-Modal Retrieval. ACM Multimedia 2018: 1137-1145 - [c24]Jitao Sang, Jun Yu, Ramesh C. Jain, Rainer Lienhart, Peng Cui, Jiashi Feng:
Deep Learning for Multimedia: Science or Technology? ACM Multimedia 2018: 1354-1355 - [c23]Zhenzhong Kuang, Jun Yu, Suguo Zhu, Zongmin Li, Jianping Fan:
Deformable Point Cloud Recognition Using Intrinsic Function and Deep Learning. PCM (2) 2018: 89-101 - 2017
- [c22]Zhou Yu, Jun Yu, Jianping Fan, Dacheng Tao:
Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering. ICCV 2017: 1839-1848 - [c21]Weichen Wu, Min Tan, Guangjian Zheng, Jun Yu:
Query Modeling for Click Data Based Image Recognition Using Graph Based Propagation and Sparse Coding. ICIMCS 2017: 191-199 - [c20]Guangjian Zheng, Min Tan, Jun Yu, Qing Wu, Jianping Fan:
Fine-grained image recognition via weakly supervised click data guided bilinear CNN model. ICME 2017: 661-666 - [c19]Panpeng Li, Ziyun Li, Fei Gao, Li Wan, Jun Yu:
Convolutional neural networks for intestinal hemorrhage detection in wireless capsule endoscopy images. ICME 2017: 1518-1523 - [c18]Jianping Fan, Tianyi Zhao, Zhenzhong Kuang, Zhou Yu, Jun Yu:
Deep Mixture of Experts with Diverse Task Spaces. ICMLA 2017: 721-725 - [c17]Jun Yu, Zhenzhong Kuang, Zhou Yu, Dan Lin, Jianping Fan:
Privacy Setting Recommendation for Image Sharing. ICMLA 2017: 726-730 - [c16]Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao:
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic. IJCAI 2017: 2620-2626 - 2016
- [c15]Chaoqun Hong, Jun Yu, Rongsheng Xie, Dapeng Tao:
Weakly Supervised Hand Pose Recovery with Domain Adaptation by Low-Rank Alignment. ICDM Workshops 2016: 446-453 - [c14]Min Tan, Jun Yu, Guangjian Zheng, Weichen Wu, Kejia Sun:
Deep Neural Network Boosted Large Scale Image Recognition Using User Click Data. ICIMCS 2016: 118-121 - [c13]Yanan Guo, Dapeng Tao, Jun Yu, Hao Xiong, Yaotang Li, Dacheng Tao:
Deep Neural Networks with Relativity Learning for facial expression recognition. ICME Workshops 2016: 1-6 - [c12]Chaohui Tang, Qingxin Zhu, Chaoqun Hong, Jun Yu:
Multi-modal Image Re-ranking with Autoencoders and Click Semantics. MMM (1) 2016: 609-620 - [c11]Yanan Guo, Dapeng Tao, Jun Yu, Yaotang Li:
Deep Similarity Feature Learning for Person Re-identification. PCM (1) 2016: 386-396 - [c10]Xi Li, Jun Yu, Fei Gao, Jian Zhang:
Data-driven facial animation via hypergraph learning. SMC 2016: 442-445 - [c9]Xiaowei Zhang, Fei Gao, Di Huang, Min Tan, Jun Yu:
Photo aesthetic quality assessment via label distribution learning. SMC 2016: 1467-1470 - 2015
- [c8]Chaoqun Hong, Jun Yu, Jane You, Xuhui Chen:
Hypergraph Regularized Autoencoder for 3D Human Pose Recovery. CCCV (1) 2015: 66-75 - [c7]Yukun Guo, Zhonggui Chen, Jun Yu:
Supervised Spectral Embedding for Human Pose Estimation. IScIDE (1) 2015: 100-109 - [c6]Weifeng Liu, Zhen Wang, Dapeng Tao, Jun Yu:
Hessian Regularized Sparse Coding for Human Action Recognition. MMM (2) 2015: 502-511 - 2014
- [c5]Wangmu Li, Jun Yu:
Sparse Manifold Learning and Its Applications in Image Classification. ICIMCS 2014: 32 - [c4]Chaoqun Hong, Jun Yu, Xuhui Chen:
Structured action classification with hypergraph regularization. SMC 2014: 2853-2858 - [c3]Jia Wang, Zhijun Song, Qian Li, Jun Yu, Fei Chen:
Semantic-based intelligent data clean framework for big data. SPAC 2014: 448-453 - 2013
- [c2]Chaoqun Hong, Jun Yu, Xuhui Chen:
Image-Based 3D Human Pose Recovery with Locality Sensitive Sparse Retrieval. SMC 2013: 2103-2108 - 2012
- [c1]Jun Yu, Jun Cheng, Jianmin Wang, Dacheng Tao:
Transductive Cartoon Retrieval by Multiple Hypergraph Learning. ICONIP (3) 2012: 269-276
Editorship
- 2020
- [e2]Honghao Gao, Zhiyong Feng, Jun Yu, Jun Wu:
Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 - December 1, 2019, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 312, Springer 2020, ISBN 978-3-030-41113-8 [contents] - [e1]Honghao Gao, Zhiyong Feng, Jun Yu, Jun Wu:
Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 - December 1, 2019, Proceedings, Part II. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 313, Springer 2020, ISBN 978-3-030-41116-9 [contents]
Informal and Other Publications
- 2024
- [i40]Ting Yu, Xiaojun Lin, Shuhui Wang, Weiguo Sheng, Qingming Huang, Jun Yu:
A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes. CoRR abs/2403.07469 (2024) - 2023
- [i39]Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian:
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories. CoRR abs/2302.02373 (2023) - [i38]Jun Bao, Buyu Liu, Jianping Fan, Jun Yu:
GLOW: Global Layout Aware Attacks for Object Detection. CoRR abs/2302.14166 (2023) - [i37]Zhenwei Shao, Zhou Yu, Meng Wang, Jun Yu:
Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering. CoRR abs/2303.01903 (2023) - [i36]Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu:
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos. CoRR abs/2305.02519 (2023) - [i35]Ke Zhang, Yan Yang, Jun Yu, Hanliang Jiang, Jianping Fan, Qingming Huang, Weidong Han:
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training. CoRR abs/2305.07920 (2023) - [i34]Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu:
Regularly Truncated M-estimators for Learning with Noisy Labels. CoRR abs/2309.00894 (2023) - [i33]Zhuo Huang, Muyang Li, Li Shen, Jun Yu, Chen Gong, Bo Han, Tongliang Liu:
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization. CoRR abs/2310.16391 (2023) - [i32]Muyang Li, Runze Wu, Haoyu Liu, Jun Yu, Xun Yang, Bo Han, Tongliang Liu:
InstanT: Semi-supervised Learning with Instance-dependent Thresholds. CoRR abs/2310.18910 (2023) - [i31]Xiang Feng, Yongbo He, Yubo Wang, Chengkai Wang, Zhenzhong Kuang, Jiajun Ding, Feiwei Qin, Jun Yu, Jianping Fan:
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields. CoRR abs/2312.12122 (2023) - 2022
- [i30]Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo:
Hyper-relationship Learning Network for Scene Graph Generation. CoRR abs/2202.07271 (2022) - [i29]Zhou Yu, Zitian Jin, Jun Yu, Mingliang Xu, Jianping Fan:
Towards Efficient and Elastic Visual Question Answering with Doubly Slimmable Transformer. CoRR abs/2203.12814 (2022) - 2021
- [i28]Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu:
Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching. CoRR abs/2105.08252 (2021) - [i27]Jun Bao, Buyu Liu, Jun Yu:
The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze Estimation. CoRR abs/2106.14183 (2021) - [i26]Yuhao Cui, Zhou Yu, Chunqi Wang, Zhongzhou Zhao, Ji Zhang, Meng Wang, Jun Yu:
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration. CoRR abs/2108.07073 (2021) - 2020
- [i25]Yijun Song, Jingwen Wang, Lin Ma, Zhou Yu, Jun Yu:
Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos. CoRR abs/2003.07048 (2020) - [i24]Maoying Qiao, Jun Yu, Wei Bian, Dacheng Tao:
Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach. CoRR abs/2004.02842 (2020) - [i23]Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, Dacheng Tao:
Repulsive Mixture Models of Exponential Family PCA for Clustering. CoRR abs/2004.03112 (2020) - [i22]Zhou Yu, Yuhao Cui, Jun Yu, Meng Wang, Dacheng Tao, Qi Tian:
Deep Multimodal Neural Architecture Search. CoRR abs/2004.12070 (2020) - [i21]Jinfeng Li, Weifeng Liu, Yicong Zhou, Jun Yu, Dapeng Tao:
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples. CoRR abs/2008.09359 (2020) - [i20]Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao:
Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing. CoRR abs/2012.13538 (2020) - 2019
- [i19]Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao:
Adapting Stochastic Block Models to Power-Law Degree Distributions. CoRR abs/1904.05335 (2019) - [i18]Jinghan Yao, Zhou Yu, Jun Yu, Dacheng Tao:
Single Pixel Reconstruction for One-stage Instance Segmentation. CoRR abs/1904.07426 (2019) - [i17]Jian Zhang, Jun Yu, Dacheng Tao:
Local Deep-Feature Alignment for Unsupervised Dimension Reduction. CoRR abs/1904.09747 (2019) - [i16]Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
On Exploring Undetermined Relationships for Visual Relationship Detection. CoRR abs/1905.01595 (2019) - [i15]Jun Yu, Jing Li, Zhou Yu, Qingming Huang:
Multimodal Transformer with Multi-View Visual Representation for Image Captioning. CoRR abs/1905.07841 (2019) - [i14]Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, Dacheng Tao:
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering. CoRR abs/1906.02467 (2019) - [i13]Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian:
Deep Modular Co-Attention Networks for Visual Question Answering. CoRR abs/1906.10770 (2019) - [i12]Zhou Yu, Yuhao Cui, Jun Yu, Dacheng Tao, Qi Tian:
Multimodal Unified Attention Networks for Vision-and-Language Interactions. CoRR abs/1908.04107 (2019) - 2018
- [i11]Dayong Tian, Jun Yu, Yuanyan Tang, Dacheng Tao:
Learning Decorrelated Hashing Codes for Multimodal Retrieval. CoRR abs/1803.00682 (2018) - [i10]Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao:
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification. CoRR abs/1804.04784 (2018) - [i9]Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao:
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding. CoRR abs/1805.03508 (2018) - [i8]Zhou Zhao, Hanbing Zhan, Lingtao Meng, Jun Xiao, Jun Yu, Min Yang, Fei Wu, Deng Cai:
Textually Guided Ranking Network for Attentional Image Retweet Modeling. CoRR abs/1810.10226 (2018) - 2017
- [i7]Tianyi Zhao, Jun Yu, Zhenzhong Kuang, Wei Zhang, Jianping Fan:
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition. CoRR abs/1706.07901 (2017) - [i6]Tianyi Zhao, Baopeng Zhang, Wei Zhang, Ning Zhou, Jun Yu, Jianping Fan:
Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition. CoRR abs/1707.02406 (2017) - [i5]Zhou Yu, Jun Yu, Jianping Fan, Dacheng Tao:
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering. CoRR abs/1708.01471 (2017) - [i4]Zhou Yu, Jun Yu, Chenchao Xiang, Jianping Fan, Dacheng Tao:
Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering. CoRR abs/1708.03619 (2017) - [i3]Fei Gao, Shengjie Shi, Jun Yu, Qingming Huang:
Composition-aided Sketch-realistic Portrait Generation. CoRR abs/1712.00899 (2017) - [i2]Chaoqun Hong, Jun Yu:
Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning. CoRR abs/1712.06467 (2017) - 2016
- [i1]Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li:
Constrained Low-Rank Learning Using Least Squares-Based Regularization. CoRR abs/1611.04870 (2016)
Coauthor Index
Zhenzhong Kuang
aka: Zhengzhong Kuang
aka: Zhengzhong Kuang
[j113] [j97] [j96] [j94] [j90] [j80] [j79] [j73] [j68] [j60] [j58] [j56] [j55] [j50] [j49] [j48] [j32] [j31] [j30] [j25] [j24] [j18] [j17] [j14] [j13] [j12] [j11] [j10] [j8] [j6] [j4] [c49] [c43] [c42] [c39] [c38] [c37] [c32] [c28] [c25] [c22] [c16] [c13] [c1] [i30] [i24] [i23] [i22] [i20] [i19] [i18] [i17] [i16] [i14] [i13] [i12] [i11] [i10] [i9] [i5] [i4]
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