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2020 – today
- 2022
[j12]Si Liu
, Guanghui Ren, Yao Sun, Jinqiao Wang, Changhu Wang, Bo Li, Shuicheng Yan:
Fine-Grained Human-Centric Tracklet Segmentation with Single Frame Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 610-621 (2022)- [j11]Bo Yuan, Danpei Zhao, Shuai Shao, Zehuan Yuan, Changhu Wang:
Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. IEEE Trans. Image Process. 31: 2878-2892 (2022) - [j10]Guanghao Yin, Wei Wang, Zehuan Yuan, Wei Ji, Dongdong Yu, Shouqian Sun, Tat-Seng Chua, Changhu Wang:
Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations. IEEE Trans. Image Process. 31: 3949-3960 (2022) - [c97]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang:
TransFG: A Transformer Architecture for Fine-Grained Recognition. AAAI 2022: 852-860 - [c96]Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. AAAI 2022: 3134-3142 - [c95]Chuhui Xue, Jiaxing Huang, Wenqing Zhang, Shijian Lu, Changhu Wang, Song Bai:
Contextual Text Block Detection Towards Scene Text Understanding. ECCV (28) 2022: 374-391 - [c94]Weiyun Meng, Changhu Wang, Lei Qin, Jianxiang Wang:
Structural design of cucumber picking manipulator. ICCIR 2022: 60-63 - [c93]Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu:
Objects in Semantic Topology. ICLR 2022 - [c92]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN 2022: 1-8 - [i47]Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. CoRR abs/2202.13123 (2022) - [i46]Bo Yuan, Danpei Zhao, Shuai Shao, Zehuan Yuan, Changhu Wang:
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation. CoRR abs/2204.02111 (2022) - [i45]Chuhui Xue, Jiaxing Huang, Shijian Lu, Changhu Wang, Song Bai:
Contextual Text Block Detection towards Scene Text Understanding. CoRR abs/2207.12955 (2022) - 2021
- [j9]Tao Wei, Changhu Wang, Chang Wen Chen:
Modularized Morphing of Deep Convolutional Neural Networks: A Graph Approach. IEEE Trans. Computers 70(2): 305-315 (2021) - [c91]Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou:
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation. AAAI 2021: 2109-2117 - [c90]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. AAAI 2021: 7746-7753 - [c89]Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang:
Inter-intra Variant Dual Representations for Self-supervised Video Recognition. BMVC 2021: 39 - [c88]Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen:
Involution: Inverting the Inherence of Convolution for Visual Recognition. CVPR 2021: 12321-12330 - [c87]Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo:
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals. CVPR 2021: 14454-14463 - [c86]Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang:
Learning the Best Pooling Strategy for Visual Semantic Embedding. CVPR 2021: 15789-15798 - [c85]Wei Wang, Haochen Zhang, Zehuan Yuan, Changhu Wang:
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective. ICCV 2021: 4298-4307 - [c84]Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao:
Mining Contextual Information Beyond Image for Semantic Segmentation. ICCV 2021: 7211-7221 - [c83]Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang:
Cross-category Video Highlight Detection via Set-based Learning. ICCV 2021: 7950-7959 - [c82]Chuang Lin, Zehuan Yuan, Sicheng Zhao, Peize Sun, Changhu Wang, Jianfei Cai:
Domain-Invariant Disentangled Network for Generalizable Object Detection. ICCV 2021: 8751-8760 - [c81]Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming:
MT-ORL: Multi-Task Occlusion Relationship Learning. ICCV 2021: 9344-9353 - [c80]Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen:
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. ICCV 2021: 9415-9424 - [c79]Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. ICCV 2021: 11986-11995 - [c78]Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. ICCV 2021: 12272-12281 - [c77]Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee:
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis. ICCV 2021: 12558-12568 - [c76]Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo:
What Makes for End-to-End Object Detection? ICML 2021: 9934-9944 - [c75]Jiannan Ding, Changhu Wang, Meiqiu Jiang, Shuisheng Lin, Haifen Yang:
Cross Media Routing and Clustering Algorithm for Autonomous Marine Systems. ICPS 2021: 289-296 - [c74]Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. ACM Multimedia 2021: 1581-1590 - [c73]Xindi Shang, Zehuan Yuan, Anran Wang, Changhu Wang:
Multimodal Video Summarization via Time-Aware Transformers. ACM Multimedia 2021: 1756-1765 - [c72]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi:
Adaptive Data Augmentation on Temporal Graphs. NeurIPS 2021: 1440-1452 - [c71]Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li, Changhu Wang:
Directed Graph Contrastive Learning. NeurIPS 2021: 19580-19593 - [i44]Ningxin Xu, Cheng Yang, Yixin Zhu, Xiaowei Hu, Changhu Wang:
Incorporating Vision Bias into Click Models for Image-oriented Search Engine. CoRR abs/2101.02459 (2021) - [i43]Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang:
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition. CoRR abs/2102.09875 (2021) - [i42]Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen:
Involution: Inverting the Inherence of Convolution for Visual Recognition. CoRR abs/2103.06255 (2021) - [i41]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan L. Yuille:
TransFG: A Transformer Architecture for Fine-grained Recognition. CoRR abs/2103.07976 (2021) - [i40]Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee:
NeMI: Unifying Neural Radiance Fields with Multiplane Images for Novel View Synthesis. CoRR abs/2103.14910 (2021) - [i39]Guanghao Yin, Wei Wang, Zehuan Yuan, Dongdong Yu, Shouqian Sun, Changhu Wang:
Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations. CoRR abs/2104.03926 (2021) - [i38]Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jin Xu, Changhu Wang, Jihong Zhu:
Improving Long-Tailed Classification from Instance Level. CoRR abs/2104.06094 (2021) - [i37]Haotian Yan, Zhe Li, Weijian Li, Changhu Wang, Ming Wu, Chuang Zhang:
ConTNet: Why not use convolution and transformer at the same time? CoRR abs/2104.13497 (2021) - [i36]Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang:
Center Prediction Loss for Re-identification. CoRR abs/2104.14746 (2021) - [i35]Chuhui Xue, Shijian Lu, Song Bai, Wenqing Zhang, Changhu Wang:
I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition. CoRR abs/2105.08383 (2021) - [i34]Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, Alan L. Yuille:
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. CoRR abs/2106.00209 (2021) - [i33]Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang:
How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition. CoRR abs/2107.01194 (2021) - [i32]Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. CoRR abs/2107.02112 (2021) - [i31]Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. CoRR abs/2108.02451 (2021) - [i30]Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming:
MT-ORL: Multi-Task Occlusion Relationship Learning. CoRR abs/2108.05722 (2021) - [i29]Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang:
Cross-category Video Highlight Detection via Set-based Learning. CoRR abs/2108.11770 (2021) - [i28]Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao:
Mining Contextual Information Beyond Image for Semantic Segmentation. CoRR abs/2108.11819 (2021) - [i27]Zhenchao Jin, Dongdong Yu, Kai Su, Zehuan Yuan, Changhu Wang:
Memory Based Video Scene Parsing. CoRR abs/2109.00373 (2021) - [i26]Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen:
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. CoRR abs/2109.05749 (2021) - [i25]Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang:
Weakly Supervised Person Search with Region Siamese Networks. CoRR abs/2109.06109 (2021) - [i24]Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu:
Objects in Semantic Topology. CoRR abs/2110.02687 (2021) - [i23]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling for Temporal Graph Networks. CoRR abs/2112.09845 (2021) - 2020
- [j8]Yunhang Shen, Rongrong Ji, Kuiyuan Yang, Cheng Deng, Changhu Wang:
Category-Aware Spatial Constraint for Weakly Supervised Detection. IEEE Trans. Image Process. 29: 843-858 (2020) - [c70]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng:
Improving Convolutional Networks With Self-Calibrated Convolutions. CVPR 2020: 10093-10102 - [c69]Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang:
Non-Local Neural Networks With Grouped Bilinear Attentional Transforms. CVPR 2020: 11801-11810 - [c68]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Moflowgan: Video Generation With Flow Guidance. ICME 2020: 1-6 - [c67]Hanyuan Zhang, Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun, Weiwei Sun, Changhu Wang:
Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching. IJCAI 2020: 3209-3215 - [c66]Jie Shao, Kai Hu, Changhu Wang, Xiangyang Xue, Bhiksha Raj:
Is normalization indispensable for training deep neural network? NeurIPS 2020 - [i22]Jie Shao, Xin Wen, Bingchen Zhao, Changhu Wang, Xiangyang Xue:
Context Encoding for Video Retrieval with Contrastive Learning. CoRR abs/2008.01334 (2020) - [i21]Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang:
Learning the Best Pooling Strategy for Visual Semantic Embedding. CoRR abs/2011.04305 (2020) - [i20]Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo:
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals. CoRR abs/2011.12450 (2020) - [i19]Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou:
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation. CoRR abs/2012.02534 (2020) - [i18]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. CoRR abs/2012.05660 (2020) - [i17]Peize Sun, Yi Jiang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo:
OneNet: Towards End-to-End One-Stage Object Detection. CoRR abs/2012.05780 (2020) - [i16]Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, Ping Luo:
TransTrack: Multiple-Object Tracking with Transformer. CoRR abs/2012.15460 (2020)
2010 – 2019
- 2019
- [c65]He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang:
Generative Dual Adversarial Network for Generalized Zero-Shot Learning. CVPR 2019: 801-810 - [c64]Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang:
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information. CVPR 2019: 5674-5682 - [c63]Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang:
Towards Good Practices for Video Object Segmentation. ICCV Workshops 2019: 701-704 - [c62]Minghui Dong, Jian Wang, Yuanyuan Huang, Dongdong Yu, Kai Su, Kaihui Zhou, Jie Shao, Shiping Wen, Changhu Wang:
Temporal Feature Augmented Network for Video Instance Segmentation. ICCV Workshops 2019: 721-724 - [c61]Dong Liang, Lanfen Lin, Rui Wang, Jie Shao, Changhu Wang, Yen-Wei Chen:
Unsupervised Teacher-Student Model for Large-Scale Video Retrieval. ICCV Workshops 2019: 1863-1867 - [c60]Tao Wei, Changhu Wang, Chang Wen Chen:
Stable Network Morphism. IJCNN 2019: 1-8 - [i15]Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang:
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information. CoRR abs/1905.03466 (2019) - [i14]Dongdong Yu, Kai Su, Xin Geng, Changhu Wang:
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation. CoRR abs/1905.05355 (2019) - [i13]Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang:
Deformable Tube Network for Action Detection in Videos. CoRR abs/1907.01847 (2019) - [i12]Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang:
Towards Good Practices for Video Object Segmentation. CoRR abs/1909.13583 (2019) - [i11]Dongdong Yu, Kai Su, Changhu Wang:
Towards Good Practices for Multi-Person Pose Estimation. CoRR abs/1911.07938 (2019) - [i10]Dongdong Yu, Zehuan Yuan, Jinlai Liu, Kun Yuan, Changhu Wang:
Towards Good Practices for Instance Segmentation. CoRR abs/1911.07939 (2019) - 2018
- [j7]Wei Li, Jianmin Li, Changhu Wang, Lei Zhang, Bo Zhang:
Visual instance mining from the graph perspective. Multim. Syst. 24(2): 147-162 (2018) - [j6]Yunhang Shen, Rongrong Ji, Changhu Wang, Xi Li, Xuelong Li:
Weakly Supervised Object Detection via Object-Specific Pixel Gradient. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5960-5970 (2018) - [c59]Gen Li, Shikun Xu, Xiang Liu, Lei Li, Changhu Wang:
Jersey Number Recognition With Semi-Supervised Spatial Transformer Network. CVPR Workshops 2018: 1783-1790 - [c58]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. ECCV Workshops (4) 2018: 145-152 - [c57]Dongdong Yu, Kai Su, Jia Sun, Changhu Wang:
Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network. ECCV Workshops (2) 2018: 221-226 - [c56]Jinlai Liu, Zehuan Yuan, Changhu Wang:
Towards Good Practices for Multi-modal Fusion in Large-Scale Video Classification. ECCV Workshops (4) 2018: 287-296 - [i9]He Huang, Philip S. Yu, Changhu Wang:
An Introduction to Image Synthesis with Generative Adversarial Nets. CoRR abs/1803.04469 (2018) - [i8]Jinlai Liu, Zehuan Yuan, Changhu Wang:
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification. CoRR abs/1809.05848 (2018) - [i7]Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang:
Knowing Where to Look? Analysis on Attention of Visual Question Answering System. CoRR abs/1810.03821 (2018) - [i6]Jia Sun, Dongdong Yu, Yinghong Li, Changhu Wang:
Mask Propagation Network for Video Object Segmentation. CoRR abs/1810.10289 (2018) - [i5]He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang:
Generative Dual Adversarial Network for Generalized Zero-shot Learning. CoRR abs/1811.04857 (2018) - 2017
- [c55]Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao, Yao Sun:
Surveillance Video Parsing with Single Frame Supervision. CVPR 2017: 1013-1021 - [c54]Xiang Fu, Chen Chen, Jian Li, Changhu Wang, C.-C. Jay Kuo:
Image segmentation using contour, surface, and depth cues. ICIP 2017: 81-85 - [c53]Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille:
MAT: A Multimodal Attentive Translator for Image Captioning. IJCAI 2017: 4033-4039 - [c52]Changhu Wang:
Intelligently Connecting People with Information. ICMR 2017: 501 - [c51]Han Yu, Guanghui Ren, Ruihe Qian, Yao Sun, Changhu Wang, Hanqing Lu, Si Liu:
RSVP: A Real-Time Surveillance Video Parsing System with Single Frame Supervision. ACM Multimedia 2017: 1257-1258 - [i4]Tao Wei, Changhu Wang, Chang Wen Chen:
Modularized Morphing of Neural Networks. CoRR abs/1701.03281 (2017) - [i3]Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille:
MAT: A Multimodal Attentive Translator for Image Captioning. CoRR abs/1702.05658 (2017) - 2016
- [j5]Edgar Roman-Rangel, Changhu Wang, Stéphane Marchand-Maillet:
SimMap: Similarity maps for scale invariant local shape descriptors. Neurocomputing 175: 888-898 (2016) - [j4]Jun Guo, Changhu Wang, Edgar Roman-Rangel, Hongyang Chao, Yong Rui:
Building Hierarchical Representations for Oracle Character and Sketch Recognition. IEEE Trans. Image Process. 25(1): 104-118 (2016) - [c50]Xiang Fu, Changhu Wang, C.-C. Jay Kuo:
Hierarchical Supervoxel Graph for Interactive Video Object Representation and Segmentation. ACCV (1) 2016: 103-120 - [c49]Tao Wei, Chang Wen Chen, Changhu Wang:
Barycentric coordinates based soft assignment for object classification. ICME Workshops 2016: 1-6 - [c48]Tao Wei, Changhu Wang, Yong Rui, Chang Wen Chen:
Network Morphism. ICML 2016: 564-572 - [c47]Chang Liu, Changhu Wang, Fuchun Sun, Yong Rui:
Image2Text: A Multimodal Image Captioner. ACM Multimedia 2016: 746-748 - [i2]Tao Wei, Changhu Wang, Yong Rui, Chang Wen Chen:
Network Morphism. CoRR abs/1603.01670 (2016) - [i1]Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao:
Surveillance Video Parsing with Single Frame Supervision. CoRR abs/1611.09587 (2016) - 2015
- [j3]Wei Li, Changhu Wang, Lei Zhang, Yong Rui, Bo Zhang:
Partial-Duplicate Clustering and Visual Pattern Discovery on Web Scale Image Database. IEEE Trans. Multim. 17(7): 967-980 (2015) - [c46]Jun Guo, Changhu Wang, Hongyang Chao:
Building Effective Representations for Sketch Recognition. AAAI 2015: 3776-3782 - [c45]Wei Li, Changhu Wang, Lei Zhang, Yong Rui, Bo Zhang:
Scalable Visual Instance Mining with Instance Graph. BMVC 2015: 98.1-98.11 - [c44]Xianming Liu, Rongrong Ji, Changhu Wang, Wei Liu, Bineng Zhong, Thomas S. Huang:
Understanding image structure via hierarchical shape parsing. CVPR 2015: 5042-5050 - [c43]Xiang Fu, Chien-Yi Wang, Chen Chen, Changhu Wang, C.-C. Jay Kuo:
Robust Image Segmentation Using Contour-Guided Color Palettes. ICCV 2015: 1618-1625 - [c42]Jie Wu, Changhu Wang, Liqing Zhang, Yong Rui:
Offline Sketch Parsing via Shapeness Estimation. IJCAI 2015: 1200-1207 - [c41]Changcheng Xiao, Changhu Wang, Liqing Zhang, Lei Zhang:
Sketch-based Image Retrieval via Shape Words. ICMR 2015: 571-574 - [c40]Changcheng Xiao, Changhu Wang, Liqing Zhang, Lei Zhang:
IdeaPanel: A Large Scale Interactive Sketch-based Image Search System. ICMR 2015: 667-668 - [c39]Changcheng Xiao, Changhu Wang, Liqing Zhang:
PPTLens: Create Digital Objects with Sketch Images. ACM Multimedia 2015: 745-746 - 2014
- [j2]Changqing Zou, Changhu Wang, Yafei Wen, Lei Zhang, Jianzhuang Liu:
Viewpoint-Aware Representation for Sketch-Based 3D Model Retrieval. IEEE Signal Process. Lett. <