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2020 – today
- 2021
[j46]Bin Hu, Jiwei Xu, Xinggang Wang:
Learning generalizable deep feature using triplet-batch-center loss for person re-identification. Sci. China Inf. Sci. 64(2) (2021)- [j45]Jiapei Feng, Xinggang Wang, Wenyu Liu:
Deep graph cut network for weakly-supervised semantic segmentation. Sci. China Inf. Sci. 64(3) (2021) - [j44]Xinggang Wang, Zhaojin Huang, Bencheng Liao, Lichao Huang, Yongchao Gong
, Chang Huang:
Real-time and accurate object detection in compressed video by long short-term feature aggregation. Comput. Vis. Image Underst. 206: 103188 (2021) - [i46]Mengting Chen, Xinggang Wang, Heng Luo, Yifeng Geng, Wenyu Liu:
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition. CoRR abs/2101.05018 (2021) - [i45]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation. CoRR abs/2102.01558 (2021) - [i44]Jiaxin Zhang, Wei Sui, Xinggang Wang, Wenming Meng, Hongmei Zhu, Qian Zhang:
Deep Online Correction for Monocular Visual Odometry. CoRR abs/2103.10029 (2021) - [i43]Haoyang Li, Xinggang Wang:
Noise Modulation: Let Your Model Interpret Itself. CoRR abs/2103.10603 (2021) - [i42]Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang:
Human De-occlusion: Invisible Perception and Recovery for Humans. CoRR abs/2103.11597 (2021) - [i41]Xinggang Wang, Zhaojin Huang, Bencheng Liao, Lichao Huang, Yongchao Gong, Chang Huang:
Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation. CoRR abs/2103.14529 (2021) - [i40]Zilong Huang, Wentian Hao, Xinggang Wang, Mingyuan Tao, Jianqiang Huang, Wenyu Liu, Xian-Sheng Hua:
Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation. CoRR abs/2104.00875 (2021) - [i39]Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu:
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images. CoRR abs/2104.01526 (2021) - [i38]Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu:
Crossover Learning for Fast Online Video Instance Segmentation. CoRR abs/2104.05970 (2021) - [i37]Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu:
QueryInst: Parallelly Supervised Mask Query for Instance Segmentation. CoRR abs/2105.01928 (2021) - 2020
- [j43]Bin Hu, Nuoya Zhou, Qiang Zhou, Xinggang Wang, Wenyu Liu:
DiffNet: A Learning to Compare Deep Network for Product Recognition. IEEE Access 8: 19336-19344 (2020) - [j42]Cheng Wang, Liangchen Song, Guoli Wang, Qian Zhang, Xinggang Wang:
Multi-scale multi-patch person re-identification with exclusivity regularized softmax. Neurocomputing 382: 64-70 (2020) - [j41]Jiwei Xu, Xinggang Wang, Bin Feng, Wenyu Liu:
Deep multi-metric learning for text-independent speaker verification. Neurocomputing 410: 394-400 (2020) - [j40]Shengkai Wu, Xiaoping Li, Xinggang Wang:
IoU-aware single-stage object detector for accurate localization. Image Vis. Comput. 97: 103911 (2020) - [j39]Meriem Sebai, Xinggang Wang, Tianjiang Wang:
MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images. Medical Biol. Eng. Comput. 58(7): 1603-1623 (2020) - [j38]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 176-191 (2020) - [j37]Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang:
Object Detection in Videos by High Quality Object Linking. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1272-1278 (2020) - [j36]Liangchen Song, Cheng Wang, Lefei Zhang, Bo Du, Qian Zhang, Chang Huang, Xinggang Wang:
Unsupervised domain adaptive re-identification: Theory and practice. Pattern Recognit. 102: 107173 (2020) - [j35]Shuanlong Niu, Bin Li, Xinggang Wang, Hui Lin:
Defect Image Sample Generation With GAN for Improving Defect Recognition. IEEE Trans Autom. Sci. Eng. 17(3): 1611-1622 (2020) - [j34]Yuan Li, Xinggang Wang, Wenyu Liu, Bin Feng:
Pose Anchor: A Single-Stage Hand Keypoint Detection Network. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2104-2113 (2020) - [j33]Liang Xu, Xinggang Wang, Wenyu Liu, Bin Feng:
Cascaded Boundary Network for High-Quality Temporal Action Proposal Generation. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3702-3713 (2020) - [j32]Zilong Huang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Jingdong Wang:
Semantic Image Segmentation by Scale-Adaptive Networks. IEEE Trans. Image Process. 29: 2066-2077 (2020) - [j31]Liangchen Song, Yonghao Xu, Lefei Zhang, Bo Du, Qian Zhang, Xinggang Wang:
Learning From Synthetic Images via Active Pseudo-Labeling. IEEE Trans. Image Process. 29: 6452-6465 (2020) - [j30]Xinggang Wang, Xianbo Deng, Qing Fu, Qiang Zhou, Jiapei Feng, Hui Ma, Wenyu Liu, Chuansheng Zheng:
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT. IEEE Trans. Medical Imaging 39(8): 2615-2625 (2020) - [c50]Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang:
Diversity Transfer Network for Few-Shot Learning. AAAI 2020: 10559-10566 - [c49]Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang:
Densely Connected Search Space for More Flexible Neural Architecture Search. CVPR 2020: 10625-10634 - [c48]Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu:
Boundary-Preserving Mask R-CNN. ECCV (14) 2020: 660-676 - [c47]Jiemin Fang, Yuzhu Sun, Kangjian Peng, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang:
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search. ICLR 2020 - [i36]Jiemin Fang, Yuzhu Sun, Kangjian Peng, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang:
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search. CoRR abs/2001.02525 (2020) - [i35]Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. CoRR abs/2003.00872 (2020) - [i34]Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu:
A Simple Baseline for Multi-Object Tracking. CoRR abs/2004.01888 (2020) - [i33]Jiemin Fang, Yuzhu Sun, Qian Zhang, Kangjian Peng, Yuan Li, Wenyu Liu, Xinggang Wang:
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search. CoRR abs/2006.12986 (2020) - [i32]Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu:
Boundary-preserving Mask R-CNN. CoRR abs/2007.08921 (2020) - [i31]Jiwei Xu, Xinggang Wang, Bin Feng, Wenyu Liu:
Deep multi-metric learning for text-independent speaker verification. CoRR abs/2007.10479 (2020) - [i30]Wenqiang Zhang, Jiemin Fang, Xinggang Wang, Wenyu Liu:
EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search. CoRR abs/2012.07086 (2020) - [i29]Jie Qin, Jiemin Fang, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang:
ResizeMix: Mixing Data with Preserved Object Information and True Labels. CoRR abs/2012.11101 (2020)
2010 – 2019
- 2019
- [j29]Xiyan Yin, Buyun Sheng, Feiyu Zhao, Xinggang Wang, Zheng Xiao, Hui Wang:
A Correlation-Experience-Demand Based Personalized Knowledge Recommendation Approach. IEEE Access 7: 61811-61830 (2019) - [j28]Xinggang Wang, Yongluan Yan, Peng Tang, Wenyu Liu, Xiaojie Guo:
Bag similarity network for deep multi-instance learning. Inf. Sci. 504: 578-588 (2019) - [j27]Xinggang Wang, Jiasi Wang, Peng Tang, Wenyu Liu:
Weakly- and Semi-Supervised Fast Region-Based CNN for Object Detection. J. Comput. Sci. Technol. 34(6): 1269-1278 (2019) - [j26]Hui Lin, Bin Li, Xinggang Wang, Yufeng Shu, Shuanglong Niu:
Automated defect inspection of LED chip using deep convolutional neural network. J. Intell. Manuf. 30(6): 2525-2534 (2019) - [j25]Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, Bo Wang, Junzhou Huang:
Weakly supervised mitosis detection in breast histopathology images using concentric loss. Medical Image Anal. 53: 165-178 (2019) - [j24]Baoguang Shi, Mingkun Yang, Xinggang Wang, Pengyuan Lyu, Cong Yao, Xiang Bai:
ASTER: An Attentional Scene Text Recognizer with Flexible Rectification. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2035-2048 (2019) - [j23]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2244-2250 (2019) - [c46]Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng:
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking. AAAI 2019: 8803-8810 - [c45]Shuanglong Niu, Hui Lin, Tongzhi Niu, Bin Li, Xinggang Wang:
DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network. CASE 2019: 127-132 - [c44]Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang:
RENAS: Reinforced Evolutionary Neural Architecture Search. CVPR 2019: 4787-4796 - [c43]Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang:
Mask Scoring R-CNN. CVPR 2019: 6409-6418 - [c42]Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu:
Direct Object Recognition Without Line-Of-Sight Using Optical Coherence. CVPR 2019: 11737-11746 - [c41]Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Wenyu Liu:
CCNet: Criss-Cross Attention for Semantic Segmentation. ICCV 2019: 603-612 - [c40]Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Wenyu Liu, Xinggang Wang:
Motion-Guided Spatial Time Attention for Video Object Segmentation. ICCV Workshops 2019: 693-696 - [c39]Shoufa Chen, Xinggang Wang:
Single-Shot Detector with Multiple Inference Paths. ICIP 2019: 2005-2009 - [i28]Jiemin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang:
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search. CoRR abs/1901.05884 (2019) - [i27]Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang:
Mask Scoring R-CNN. CoRR abs/1903.00241 (2019) - [i26]Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu:
Direct Object Recognition Without Line-of-Sight Using Optical Coherence. CoRR abs/1903.07705 (2019) - [i25]Zonglin Yang, Xinggang Wang:
Reducing the dilution: An analysis of the information sensitiveness of capsule network with a practical solution. CoRR abs/1903.10588 (2019) - [i24]Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang:
High-Resolution Representations for Labeling Pixels and Regions. CoRR abs/1904.04514 (2019) - [i23]Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang:
Densely Connected Search Space for More Flexible Neural Architecture Search. CoRR abs/1906.09607 (2019) - [i22]Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Chang Huang, Wenyu Liu, Xinggang Wang:
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation. CoRR abs/1907.01203 (2019) - [i21]Hao Luo, Lichao Huang, Han Shen, Yuan Li, Chang Huang, Xinggang Wang:
Object Detection in Video with Spatial-temporal Context Aggregation. CoRR abs/1907.04988 (2019) - [i20]Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao:
Deep High-Resolution Representation Learning for Visual Recognition. CoRR abs/1908.07919 (2019) - [i19]Shengkai Wu, Xiaoping Li, Xinggang Wang:
IoU-aware Single-stage Object Detector for Accurate Localization. CoRR abs/1912.05992 (2019) - [i18]Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang:
Diversity Transfer Network for Few-Shot Learning. CoRR abs/1912.13182 (2019) - 2018
- [j22]Xinggang Wang, Buyun Sheng, Chenglei Zhang, Zheng Xiao, Hui Wang, Feiyu Zhao:
An effective application of 3D cloud printing service quality evaluation in BM-MOPSO. Concurr. Comput. Pract. Exp. 30(24) (2018) - [j21]Mengting Chen, Xinggang Wang, Bin Feng, Wenyu Liu:
Structured random forest for label distribution learning. Neurocomputing 320: 171-182 (2018) - [j20]Yuan Li, Xinggang Wang, Wenyu Liu, Bin Feng:
Deep attention network for joint hand gesture localization and recognition using static RGB-D images. Inf. Sci. 441: 66-78 (2018) - [j19]Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki:
DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks. Medical Image Anal. 45: 121-133 (2018) - [j18]Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu:
Revisiting multiple instance neural networks. Pattern Recognit. 74: 15-24 (2018) - [c38]Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang:
Deep Multi-instance Learning with Dynamic Pooling. ACML 2018: 662-677 - [c37]Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, Jingdong Wang:
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing. CVPR 2018: 7014-7023 - [c36]Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille:
Weakly Supervised Region Proposal Network and Object Detection. ECCV (11) 2018: 370-386 - [c35]Cheng Wang, Qian Zhang, Chang Huang, Wenyu Liu, Xinggang Wang:
Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification. ECCV (4) 2018: 384-400 - [c34]Jiasi Wang, Xinggang Wang, Wenyu Liu:
Weakly- and Semi-supervised Faster R-CNN with Curriculum Learning. ICPR 2018: 2416-2421 - [c33]Bo Zhao, Hong Huang, Jarder Luo, Xinggang Wang, Xiaoming Yao, Ramin Yahyapour, Zhenxuan Wang, Xiaoming Fu:
A Preliminary Study of E-Commerce User Behavior Based on Mobile Big Data - Invited Paper. VTC Spring 2018: 1-5 - [c32]Hong Huang, Bo Zhao, Hao Zhao, Zhou Zhuang, Zhenxuan Wang, Xiaoming Yao, Xinggang Wang, Hai Jin, Xiaoming Fu:
A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data. WWW 2018: 1785-1794 - [i17]Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang:
Object Detection in Videos by Short and Long Range Object Linking. CoRR abs/1801.09823 (2018) - [i16]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. CoRR abs/1807.03342 (2018) - [i15]Liangchen Song, Cheng Wang, Lefei Zhang, Bo Du, Qian Zhang, Chang Huang, Xinggang Wang:
Unsupervised Domain Adaptive Re-Identification: Theory and Practice. CoRR abs/1807.11334 (2018) - [i14]Yukang Chen, Qian Zhang, Chang Huang, Lisen Mu, Gaofeng Meng, Xinggang Wang:
Reinforced Evolutionary Neural Architecture Search. CoRR abs/1808.00193 (2018) - [i13]Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng:
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking. CoRR abs/1811.05340 (2018) - [i12]Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang:
CCNet: Criss-Cross Attention for Semantic Segmentation. CoRR abs/1811.11721 (2018) - 2017
- [j17]Chao Li, Xinggang Wang, Wenyu Liu:
Neural features for pedestrian detection. Neurocomputing 238: 420-432 (2017) - [j16]Peng Tang, Jin Zhang, Xinggang Wang, Bin Feng, Fabio Roli, Wenyu Liu:
Learning extremely shared middle-level image representation for scene classification. Knowl. Inf. Syst. 52(2): 509-530 (2017) - [j15]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu:
Deep patch learning for weakly supervised object classification and discovery. Pattern Recognit. 71: 446-459 (2017) - [j14]Bin Feng, Fangzi He, Xinggang Wang, Yongjiang Wu, Hao Wang, Sihua Yi, Wenyu Liu:
Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition. IEEE Trans. Hum. Mach. Syst. 47(4): 511-523 (2017) - [j13]Peng Tang, Xinggang Wang, Bin Feng, Wenyu Liu:
Learning Multi-Instance Deep Discriminative Patterns for Image Classification. IEEE Trans. Image Process. 26(7): 3385-3396 (2017) - [c31]Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu:
TextBoxes: A Fast Text Detector with a Single Deep Neural Network. AAAI 2017: 4161-4167 - [c30]Xiang Lan, Yuezhi Zhou, Di Zhang, Xinggang Wang, Xiaoming Yao, Xiaoming Fu:
Cloud-assisted trajectory data management and analysis: a case study. CAN@CoNEXT 2017: 61-66 - [c29]Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. CVPR 2017: 3059-3067 - [c28]Jianxiang Ma, Anlong Ming, Zilong Huang, Xinggang Wang, Yu Zhou:
Object-Level Proposals. ICCV 2017: 4931-4939 - [c27]Yongluan Yan, Xinggang Wang, Xin Yang, Xiang Bai, Wenyu Liu:
Joint Classification Loss and Histogram Loss for Sketch-Based Image Retrieval. ICIG (1) 2017: 238-249 - [c26]Xinggang Wang, Linlin Wang:
Research on Intrusion Detection Based on Feature Extraction of Autoencoder and the Improved K-Means Algorithm. ISCID (2) 2017: 352-356 - [i11]Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. CoRR abs/1704.00138 (2017) - [i10]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu:
Deep Patch Learning for Weakly Supervised Object Classification and Discovery. CoRR abs/1705.02429 (2017) - [i9]Xinggang Wang, Kaibing Chen, Zilong Huang, Cong Yao, Wenyu Liu:
Point Linking Network for Object Detection. CoRR abs/1706.03646 (2017) - 2016
- [j12]Sihua Yi, Nan Jiang, Xinggang Wang, Wenyu Liu:
Individual adaptive metric learning for visual tracking. Neurocomputing 191: 273-285 (2016) - [j11]Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai:
Deep Learning Representation using Autoencoder for 3D Shape Retrieval. Neurocomputing 204: 41-50 (2016) - [j10]Xinggang Wang, Xiong Duan, Xiang Bai:
Deep sketch feature for cross-domain image retrieval. Neurocomputing 207: 387-397 (2016) - [j9]Yingying Zhu, Chengquan Zhang, Duoyou Zhou, Xinggang Wang, Xiang Bai, Wenyu Liu:
Traffic sign detection and recognition using fully convolutional network guided proposals. Neurocomputing 214: 758-766 (2016) - [j8]Yang Wang, Xinggang Wang, Wenyu Liu:
Unsupervised local deep feature for image recognition. Inf. Sci. 351: 67-75 (2016) - [j7]Sihua Yi, Nan Jiang, Bin Feng, Xinggang Wang, Wenyu Liu:
Online similarity learning for visual tracking. Inf. Sci. 364-365: 33-50 (2016) - [j6]Wei Shen, Yuan Jiang, Wenjing Gao, Dan Zeng, Xinggang Wang:
Shape recognition by bag of skeleton-associated contour parts. Pattern Recognit. Lett. 83: 321-329 (2016) - [c25]Baoguang Shi, Xinggang Wang, Pengyuan Lyu, Cong Yao, Xiang Bai:
Robust Scene Text Recognition with Automatic Rectification. CVPR 2016: 4168-4176 - [c24]Xin Yang, Xinggang Wang, Kwang-Ting (Tim) Cheng:
OGB: A Distinctive and Efficient Feature for Mobile Augmented Reality. MMM (1) 2016: 478-492 - [c23]Xinggang Wang, Xin Yang, Wenyu Liu, Chen Duan, Longin Jan Latecki:
Location-Aware Image Classification. MMM (1) 2016: 829-841 - [c22]Bin Feng, Huifen Luo, Yongjiang Wu, Xinggang Wang, Wenyu Liu:
Robust hand gesture recognition based on enhanced depth projection maps (eDPM). WCSP 2016: 1-5 - [i8]Baoguang Shi, Xinggang Wang, Pengyuan Lv, Cong Yao, Xiang Bai:
Robust Scene Text Recognition with Automatic Rectification. CoRR abs/1603.03915 (2016) - [i7]Wei Shen, Yuan Jiang, Wenjing Gao, Dan Zeng, Xinggang Wang:
Shape Recognition by Bag of Skeleton-associated Contour Parts. CoRR abs/1605.06417 (2016) - [i6]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Object Classification. CoRR abs/1608.00182 (2016) - [i5]Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu:
Revisiting Multiple Instance Neural Networks. CoRR abs/1610.02501 (2016) - [i4]Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu:
TextBoxes: A Fast Text Detector with a Single Deep Neural Network. CoRR abs/1611.06779 (2016) - 2015
- [j5]Xiang Bai, Song Bai, Xinggang Wang:
Beyond diffusion process: Neighbor set similarity for fast re-ranking. Inf. Sci. 325: 342-354 (2015) - [j4]Chuanping Hu, Xiang Bai, Li Qi, Xinggang Wang, Gengjian Xue, Lin Mei:
Learning Discriminative Pattern for Real-Time Car Brand Recognition. IEEE Trans. Intell. Transp. Syst. 16(6): 3170-3181 (2015) - [c21]Wei Shen, Xinggang Wang, Yan Wang, Xiang Bai, Zhijiang Zhang:
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection. CVPR 2015: 3982-3991 - [c20]Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai:
Relaxed Multiple-Instance SVM with Application to Object Discovery. ICCV 2015: 1224-1232 - [c19]Peng Tang, Bin Feng, Xinggang Wang, Bi Li, Sihua Yi, Wenyu Liu:
Fisher vector with weakly-supervised Gaussian dictionary for scene classification. WCSP 2015: 1-5 - [i3]Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai:
Relaxed Multiple-Instance SVM with Application to Object Discovery. CoRR abs/1510.01027 (2015) - [i2]Hanqiang Song,