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ORCIDDong Xu 0001
Person information
- affiliation: University of Sydney, School of Electrical and Information Engineering, NSW, Australia
- affiliation (2007 - 2015): Nanyang Technological University, School of Computer Engineering, Singapore
- affiliation (2006 - 2007): Columbia University, New York, NY, USA
- affiliation (PhD 2005): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Dong Xu — disambiguation page
- Dong Xu 0002
![[0000-0002-4809-0514]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4809-0514")
— University of Missouri, Department of Computer Science / C.S. Bond Life Sciences Center, Columbia, MO, USA (and 3 more) - Dong Xu 0003 — Shanghai Normal University, Shanghai, China
- Dong Xu 0004 — singhua University, Department of Precision Instrument, Beijing, China
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2020 – today
- 2023
[j130]Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao:
Salient Object Detection via Integrity Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3738-3752 (2023)- [j129]Weiqi Sun, Rui Su, Qian Yu, Dong Xu:
Slow Motion Matters: A Slow Motion Enhanced Network for Weakly Supervised Temporal Action Localization. IEEE Trans. Circuits Syst. Video Technol. 33(1): 354-366 (2023) - [j128]Qian Yu, Liang Zheng, Lu Sheng, Dong Xu:
Guest Editorial: Special Issue on Machine Learning and Signal Processing. J. Signal Process. Syst. 95(1): 1-2 (2023) - [i27]Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu:
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework. CoRR abs/2302.11795 (2023) - 2022
- [j127]Junwei Han, Xiwen Yao, Gong Cheng, Xiaoxu Feng, Dong Xu:
P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 579-590 (2022) - [j126]Jinyang Guo, Jiaheng Liu, Dong Xu:
JointPruning: Pruning Networks Along Multiple Dimensions for Efficient Point Cloud Processing. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3659-3672 (2022) - [j125]Jiayi Tian, Jing Zhang, Wen Li, Dong Xu:
VDM-DA: Virtual Domain Modeling for Source Data-Free Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3749-3760 (2022) - [j124]Zongheng Tang, Yue Liao, Si Liu, Guanbin Li, Xiaojie Jin, Hongxu Jiang, Qian Yu, Dong Xu:
Human-Centric Spatio-Temporal Video Grounding With Visual Transformers. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8238-8249 (2022) - [j123]Jinyang Guo, Jiaheng Liu, Dong Xu:
3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8717-8729 (2022) - [j122]Zhenghao Chen, Shuhang Gu, Guo Lu, Dong Xu:
Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression. IEEE Trans. Image Process. 31: 1697-1707 (2022) - [j121]Changsheng Li, Handong Ma, Ye Yuan, Guoren Wang, Dong Xu:
Structure Guided Deep Neural Network for Unsupervised Active Learning. IEEE Trans. Image Process. 31: 2767-2781 (2022) - [j120]Kaisiyuan Wang, Lu Sheng, Shuhang Gu, Dong Xu:
VPU: A Video-Based Point Cloud Upsampling Framework. IEEE Trans. Image Process. 31: 4062-4075 (2022) - [j119]Jiaheng Liu, Jinyang Guo, Dong Xu:
APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition. IEEE Trans. Image Process. 31: 5287-5302 (2022) - [c91]Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu:
Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction. CVPR 2022: 5911-5920 - [c90]Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu:
LSVC: A Learning-based Stereo Video Compression Framework. CVPR 2022: 6063-6072 - [c89]Guo Lu, Tianxiong Zhong, Jing Geng, Qiang Hu, Dong Xu:
Learning based Multi-modality Image and Video Compression. CVPR 2022: 6073-6082 - [c88]Daigang Cai, Lichen Zhao, Jing Zhang, Lu Sheng, Dong Xu:
3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds. CVPR 2022: 16443-16452 - [c87]Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu:
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. ECCV (32) 2022: 175-191 - [c86]Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu:
SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling. ECCV (1) 2022: 464-479 - [c85]Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu:
Content Adaptive Latents and Decoder for Neural Image Compression. ECCV (18) 2022: 556-573 - [i26]Feiyu Wang, Qin Wang, Wen Li, Dong Xu, Luc Van Gool:
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound. CoRR abs/2203.06639 (2022) - [i25]Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu:
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction. CoRR abs/2206.07460 (2022) - [i24]Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu:
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling. CoRR abs/2208.06880 (2022) - [i23]Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu:
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. CoRR abs/2208.14893 (2022) - [i22]Lichen Zhao, Daigang Cai, Jing Zhang, Lu Sheng, Dong Xu, Rui Zheng, Yinjie Zhao, Lipeng Wang, Xibo Fan:
Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline. CoRR abs/2209.12028 (2022) - [i21]Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu:
Content Adaptive Latents and Decoder for Neural Image Compression. CoRR abs/2212.10132 (2022) - 2021
- [j118]Dong Xu, Rama Chellappa, Luc Van Gool, Guo Lu:
Guest Editorial: Special Issue on Deep Learning for Video Analysis and Compression. Int. J. Comput. Vis. 129(12): 3171-3173 (2021) - [j117]Junwei Han, Yang Yang, Dingwen Zhang, Dong Huang, Dong Xu, Fernando De la Torre:
Weakly-Supervised Learning of Category-Specific 3D Object Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1423-1437 (2021) - [j116]Weichen Zhang, Dong Xu, Wanli Ouyang, Wen Li:
Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2047-2061 (2021) - [j115]Guo Lu, Xiaoyun Zhang, Wanli Ouyang, Li Chen, Zhiyong Gao, Dong Xu:
An End-to-End Learning Framework for Video Compression. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3292-3308 (2021) - [j114]Rui Su, Dong Xu, Luping Zhou, Wanli Ouyang:
Progressive Cross-Stream Cooperation in Spatial and Temporal Domain for Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4477-4490 (2021) - [j113]Jinyang Guo, Weichen Zhang, Wanli Ouyang, Dong Xu:
Model Compression Using Progressive Channel Pruning. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1114-1124 (2021) - [j112]Kaisiyuan Wang, Lu Sheng, Shuhang Gu, Dong Xu:
Sequential Point Cloud Upsampling by Exploiting Multi-Scale Temporal Dependency. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4686-4696 (2021) - [j111]Jiaheng Liu, Dong Xu:
GeometryMotion-Net: A Strong Two-Stream Baseline for 3D Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4711-4721 (2021) - [j110]Lichen Zhao, Jinyang Guo, Dong Xu, Lu Sheng:
Transformer3D-Det: Improving 3D Object Detection by Vote Refinement. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4735-4746 (2021) - [j109]Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Ken Chen, Wanli Ouyang, Dong Xu:
Block Proposal Neural Architecture Search. IEEE Trans. Image Process. 30: 15-25 (2021) - [j108]Rui Su, Dong Xu, Lu Sheng, Wanli Ouyang:
PCG-TAL: Progressive Cross-Granularity Cooperation for Temporal Action Localization. IEEE Trans. Image Process. 30: 2103-2113 (2021) - [j107]Weichen Zhang, Dong Xu, Jing Zhang, Wanli Ouyang:
Progressive Modality Cooperation for Multi-Modality Domain Adaptation. IEEE Trans. Image Process. 30: 3293-3306 (2021) - [j106]Rui Su, Dong Xu, Luping Zhou, Wanli Ouyang:
Improving Weakly Supervised Temporal Action Localization by Exploiting Multi-Resolution Information in Temporal Domain. IEEE Trans. Image Process. 30: 6659-6672 (2021) - [j105]Feiyu Wang, Wen Li, Dong Xu:
Cross-Dataset Point Cloud Recognition Using Deep-Shallow Domain Adaptation Network. IEEE Trans. Image Process. 30: 7364-7377 (2021) - [j104]Changsheng Li, Rongqing Li, Ye Yuan, Guoren Wang, Dong Xu:
Deep Unsupervised Active Learning via Matrix Sketching. IEEE Trans. Image Process. 30: 9280-9293 (2021) - [j103]Zhiwang Zhang, Dong Xu, Wanli Ouyang, Luping Zhou:
Dense Video Captioning Using Graph-Based Sentence Summarization. IEEE Trans. Multim. 23: 1799-1810 (2021) - [c84]Zhihao Hu, Guo Lu, Dong Xu:
FVC: A New Framework Towards Deep Video Compression in Feature Space. CVPR 2021: 1502-1511 - [c83]Zizheng Que, Guo Lu, Dong Xu:
VoxelContext-Net: An Octree Based Framework for Point Cloud Compression. CVPR 2021: 6042-6051 - [c82]Weichen Zhang, Wen Li, Dong Xu:
SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection. CVPR 2021: 6769-6779 - [c81]Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu:
Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds. CVPR 2021: 8963-8972 - [c80]Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu:
Inception Convolution With Efficient Dilation Search. CVPR 2021: 11486-11495 - [c79]Rui Su, Qian Yu, Dong Xu:
STVGBert: A Visual-linguistic Transformer based Framework for Spatio-temporal Video Grounding. ICCV 2021: 1513-1522 - [c78]Lichen Zhao, Daigang Cai, Lu Sheng, Dong Xu:
3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds. ICCV 2021: 2908-2917 - [c77]Xiaolei Wu, Zhihao Hu, Lu Sheng, Dong Xu:
StyleFormer: Real-time Arbitrary Style Transfer via Parametric Style Composition. ICCV 2021: 14598-14607 - [c76]Yandan Yang, Lu Sheng, Xiaolong Jiang, Haochen Wang, Dong Xu, Xianbin Cao:
IncreACO: Incrementally Learned Automatic Check-out with Photorealistic Exemplar Augmentation. WACV 2021: 626-634 - [e5]Changwen Chen, Helen Huang, Jun Zhou, Tatsuya Harada, Jianfei Cai, Wu Liu, Dong Xu:
MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1 - 3, 2021. ACM 2021, ISBN 978-1-4503-8607-4 [contents] - [i20]Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao:
Salient Object Detection via Integrity Learning. CoRR abs/2101.07663 (2021) - [i19]Jiayi Tian, Jing Zhang, Wen Li, Dong Xu:
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation. CoRR abs/2103.14357 (2021) - [i18]Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu:
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds. CoRR abs/2104.06114 (2021) - [i17]Zizheng Que, Guo Lu, Dong Xu:
VoxelContext-Net: An Octree based Framework for Point Cloud Compression. CoRR abs/2105.02158 (2021) - [i16]Zhihao Hu, Guo Lu, Dong Xu:
FVC: A New Framework towards Deep Video Compression in Feature Space. CoRR abs/2105.09600 (2021) - [i15]Jinyang Guo, Dong Xu, Guo Lu:
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network. CoRR abs/2105.12386 (2021) - 2020
- [j102]Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu:
Generalized Latent Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 86-99 (2020) - [j101]Dingwen Zhang, Junwei Han, Le Yang, Dong Xu:
SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled Videos. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 475-489 (2020) - [j100]Dingwen Zhang, Junwei Han, Yu Zhang, Dong Xu:
Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1755-1769 (2020) - [j99]Zhiwang Zhang, Dong Xu, Wanli Ouyang, Chuanqi Tan:
Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3130-3139 (2020) - [j98]Jingwen He, Dong Xu:
Large Margin Nearest Neighbor Classification With Privileged Information for Biometric Applications. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4567-4577 (2020) - [j97]Guo Lu, Xiaoyun Zhang, Wanli Ouyang, Dong Xu, Li Chen, Zhiyong Gao:
Deep Non-Local Kalman Network for Video Compression Artifact Reduction. IEEE Trans. Image Process. 29: 1725-1737 (2020) - [j96]Shengping Zhang, Huiyu Zhou, Dong Xu, M. Emre Celebi, Thierry Bouwmans:
Introduction to the Special Issue on Multimodal Machine Learning for Human Behavior Analysis. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 19:1-19:2 (2020) - [c75]Jinyang Guo, Wanli Ouyang, Dong Xu:
Channel Pruning Guided by Classification Loss and Feature Importance. AAAI 2020: 10885-10892 - [c74]Jinyang Guo, Wanli Ouyang, Dong Xu:
Multi-Dimensional Pruning: A Unified Framework for Model Compression. CVPR 2020: 1505-1514 - [c73]Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-Adaptive Flow Coding. ECCV (2) 2020: 193-209 - [c72]Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao:
Content Adaptive and Error Propagation Aware Deep Video Compression. ECCV (2) 2020: 456-472 - [c71]Dong Xu, Guo Lu, Ren Yang, Radu Timofte:
Learned image and video compression with deep neural networks. VCIP 2020: 1-3 - [i14]Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu:
A Unified End-to-End Framework for Efficient Deep Image Compression. CoRR abs/2002.03370 (2020) - [i13]Jinyang Guo, Wanli Ouyang, Dong Xu:
Channel Pruning Guided by Classification Loss and Feature Importance. CoRR abs/2003.06757 (2020) - [i12]Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao:
Content Adaptive and Error Propagation Aware Deep Video Compression. CoRR abs/2003.11282 (2020) - [i11]Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-adaptive Flow Coding. CoRR abs/2009.05982 (2020) - [i10]Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu:
Inception Convolution with Efficient Dilation Search. CoRR abs/2012.13587 (2020)
2010 – 2019
- 2019
- [j95]Jing Zhang, Wanqing Li, Philip Ogunbona, Dong Xu:
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective. ACM Comput. Surv. 52(1): 7:1-7:38 (2019) - [j94]Suo Qiu, Feiping Nie, Xiangmin Xu, Chunmei Qing, Dong Xu:
Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2786-2795 (2019) - [j93]Gong Cheng, Junwei Han, Peicheng Zhou, Dong Xu:
Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection. IEEE Trans. Image Process. 28(1): 265-278 (2019) - [j92]Yongbing Zhang, Yulun Zhang, Jian Zhang, Dong Xu, Yun Fu, Yisen Wang, Xiangyang Ji, Qionghai Dai:
Collaborative Representation Cascade for Single-Image Super-Resolution. IEEE Trans. Syst. Man Cybern. Syst. 49(5): 845-860 (2019) - [c70]Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao:
DVC: An End-To-End Deep Video Compression Framework. CVPR 2019: 11006-11015 - [c69]Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu:
Improving Action Localization by Progressive Cross-Stream Cooperation. CVPR 2019: 12016-12025 - [c68]Zehui Yao, Boyan Zhang, Zhiyong Wang, Wanli Ouyang, Dong Xu, Dagan Feng:
IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes. ACM Multimedia 2019: 1842-1850 - [i9]Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu:
Improving Action Localization by Progressive Cross-stream Cooperation. CoRR abs/1905.11575 (2019) - [i8]Zehui Yao, Boyan Zhang, Zhiyong Wang, Wanli Ouyang, Dong Xu, Dagan Feng:
IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes. CoRR abs/1909.09767 (2019) - 2018
- [j91]Jiayi Shen, Xianbin Cao, Yan Li, Dong Xu:
Feature Adaptation and Augmentation for Cross-Scene Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 15(4): 622-626 (2018) - [j90]Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, Luc Van Gool:
Domain Generalization and Adaptation Using Low Rank Exemplar SVMs. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1114-1127 (2018) - [j89]Wen Li, Lin Chen, Dong Xu, Luc Van Gool:
Visual Recognition in RGB Images and Videos by Learning from RGB-D Data. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2030-2036 (2018) - [j88]Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang:
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 3007-3021 (2018) - [j87]Junwei Han, Dingwen Zhang, Gong Cheng, Nian Liu, Dong Xu:
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey. IEEE Signal Process. Mag. 35(1): 84-100 (2018) - [j86]Li Niu, Wen Li, Dong Xu, Jianfei Cai:
An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(2): 259-272 (2018) - [j85]Kailing Guo, Liu Liu, Xiangmin Xu, Dong Xu, Dacheng Tao:
GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2323-2336 (2018) - [c67]Weichen Zhang, Wanli Ouyang, Wen Li, Dong Xu:
Collaborative and Adversarial Network for Unsupervised Domain Adaptation. CVPR 2018: 3801-3809 - [c66]Dongang Wang, Wanli Ouyang, Wen Li, Dong Xu:
Dividing and Aggregating Network for Multi-view Action Recognition. ECCV (9) 2018: 457-473 - [c65]Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Zhiyong Gao, Ming-Ting Sun:
Deep Kalman Filtering Network for Video Compression Artifact Reduction. ECCV (14) 2018: 591-608 - [i7]Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao:
DVC: An End-to-end Deep Video Compression Framework. CoRR abs/1812.00101 (2018) - 2017
- [j84]Huazhu Fu, Dong Xu, Stephen Lin:
Object-Based Multiple Foreground Segmentation in RGBD Video. IEEE Trans. Image Process. 26(3): 1418-1427 (2017) - [j83]Li Niu, Xinxing Xu, Lin Chen, Lixin Duan, Dong Xu:
Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1290-1304 (2017) - [j82]Li Niu, Wen Li, Dong Xu, Jianfei Cai:
Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization. IEEE Trans. Neural Networks Learn. Syst. 28(9): 1985-1999 (2017) - [c64]Dingwen Zhang, Le Yang, Deyu Meng, Dong Xu, Junwei Han:
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos. CVPR 2017: 5340-5348 - [c63]Hehe Fan, Xiaojun Chang, De Cheng, Yi Yang, Dong Xu, Alexander G. Hauptmann:
Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos. ICCV 2017: 736-744 - [c62]Xinge Zhu, Liang Li, Weigang Zhang, Tianrong Rao, Min Xu, Qingming Huang, Dong Xu:
Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition. IJCAI 2017: 3595-3601 - [i6]Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang:
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates. CoRR abs/1706.08276 (2017) - 2016
- [j81]Li Niu, Wen Li, Dong Xu:
Exploiting Privileged Information from Web Data for Action and Event Recognition. Int. J. Comput. Vis. 118(2): 130-150 (2016) - [j80]Tongliang Liu, Dacheng Tao, Dong Xu:
Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes. Neural Comput. 28(10): 2213-2249 (2016) - [j79]Xinxing Xu, Wen Li, Dong Xu, Ivor W. Tsang:
Co-Labeling for Multi-View Weakly Labeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1113-1125 (2016) - [j78]Nikolaos V. Boulgouris, David R. Bull, Marco Cagnazzo, Andrea Cavallaro, Gene Cheung, Amit K. Roy-Chowdhury, Pedro Comesaña Alfaro, Shan Du, Sarp Ertürk, Markus Flierl, Gian Luca Foresti, Gang Hua, Zhu Li, Weisi Lin, Siwei Ma, Pramod Kumar Meher, Debargha Mukherjee, Aleksandra Pizurica, Andrea Prati, Paolo Remagnino, Arun Ross, Shin'ichi Satoh, Andreas E. Savakis, Heiko Schwarz, Ling Shao, Shervin Shirmohammadi, Giuseppe Valenzise, Meng Wang, Zhou Wang, Yonggang Wen, Dong Xu, Junsong Yuan, Yuan Yuan:
Introduction of New Associate Editors. IEEE Trans. Circuits Syst. Video Technol. 26(2): 253-263 (2016) - [j77]Yan Yan, Feiping Nie, Wen Li, Chenqiang Gao, Yi Yang, Dong Xu:
Image Classification by Cross-Media Active Learning With Privileged Information. IEEE Trans. Multim. 18(12): 2494-2502 (2016) - [j76]Junwei Han, Ling Shao, Nuno Vasconcelos, Jungong Han, Dong Xu:
Guest Editorial Special Section on Visual Saliency Computing and Learning. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1118-1121 (2016) - [j75]Shijie Xiao, Mingkui Tan, Dong Xu, Zhao Yang Dong:
Robust Kernel Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2268-2281 (2016) - [c61]Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool:
Fast Algorithms for Linear and Kernel SVM+. CVPR 2016: 2258-2266