Recent publications by topic

Deep Learning and CNN Architecture
[c9]  IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks. Ke Sun, Mingjie Li, Dong Liu, and Jingdong Wang BMVC 2018.  [pdf] [Code]
[c8]  Deep Convolutional Neural Networks with Merge-and-Run Mappings. Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhuowen Tu, Zhaoxiang Zhang, Yueting Zhuang, Jingdong Wang. IJCAI 2018.  [pdf]
[c7]  IGCV2: Interleaved Structured Sparse Convolutional Neural Networks. Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, and Guo-Jun Qi. CVPR 2018.  [pdf]
[c6]  Coupled Convolutions for CNNs. Guotian Xie, Ting Zhang, Kuiyuan Yang, Jianhuang Lai, and Jingdong Wang. AAAI 2018.  [pdf]
[c5]  Interleaved Group Convolutions. Ting Zhang, Guo-Jun Qi, Bin Xiao, and Jingdong Wang. ICCV 2017.  [pdf]
[c4]  InterActive: Inter-Layer Activeness Propagation. Lingxi Xie, Liang Zheng, Jingdong Wang, Alan Yuille, and Qi Tian. IEEE Conference on Computer Vision and Pattern Recognition (CVPR16).  [pdf]
[c3]  DisturbLabel: Regularizing CNN on the Loss Layer. Lingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang, and Qi Tian. IEEE Conference on Computer Vision and Pattern Recognition (CVPR16).  [pdf]
[c2]  Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons. Lingxi Xie, Qi Tian, John Flynn, JingdongWang, and Alan Yuille. The 14th European Conference on Computer Vision (ECCV16).  [pdf]
[c1]  Weekly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation. Xiangbo Shu, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. ACM International Conference on Multimedia (ACMMM15).  [pdf] Best Paper Award Finalist
[j2]  Face Alignment with Deep Regression. Baoguang Shi, Xiang Bai, Wenyu Liu, and Jingdong Wang. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).  [pdf]
[j1]  Generalized Deep Transfer Networks for Knowledge Propagation in Heterogeneous Domains. Jinhui Tang, Xiangbo Shu, Zechao Li, Guo-Jun QI, and Jingdong Wang ACM Transactions on Multimedia Computing Communications and Applications (ToMM).  [pdf]
[i2]  On the Connection of Deep Fusion to Ensembling. Liming Zhao, Jingdong Wang, Xi Li, Zhuowen Tu, and Wenjun Zeng. Arxiv.  [pdf] Code
[i1]  Deeply-Fused Nets. Jingdong Wang, Zhen Wei, Ting Zhang, and Wenjun Zeng. Arxiv.  [pdf]
 
Person Re-Identification
[j2]  Learning Correspondence Structures for Person Re-identification. Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, and Ke Lu. IEEE Transactions on Image Processing (TIP).  [pdf]
[j1]  Examplar-Guided Similarity Learning on Polynomial Feature Map for Person Re-Identfication. Dapeng Chen, Zejian Yuan, Jingdong Wang, Gang Hua, and Nanning Zheng. International Journal of Computer Vision (IJCV).  [pdf]
[c6]  Part-Aligned Bilinear Representations for Person Re-identification. Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, and Kyoung Mu Lee. ECCV 2018.  [pdf] [Code]
[c5]  Deeply-Learned Part-Aligned Representations for Person Re-Identification. Liming Zhao, Xi Li, Yueting Zhuang, and Jingdong Wang. ICCV 2017.  [pdf]
[c4]  MARS: A Video Benchmark for Large-Scale Person Re-identification. Liang Zheng, Zhi Bie, Yifan Sun, Jingdong Wang, Chi Su, Shengjin Wang, and Qi Tian. The 14th European Conference on Computer Vision (ECCV16).  [pdf]
[c3]  Scalable Person Re-identification: A Benchmark. Liang Zheng, Liyue Sheng, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian. The Fourteenth IEEE International Conference on Computer Vision (ICCV15).  [pdf]
[c2]  Person Re-identification with Correspondence Structure Learning. Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, and Jingdong Wang. The Fourteenth IEEE International Conference on Computer Vision (ICCV15).  [pdf]
[c1]  Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification. Dapeng Chen, Zejian Yuan, Gang Hua, Nanning Zheng, and Jingdong Wang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR15).  [pdf]
 
Hashing and Quantization for Similarity Search
[j4]  Composite Quantization. Jingdong Wang, and Ting Zhang. TPAMI 2018.  [pdf] [Code ]
[j3]  Ordinal constraint binary coding for approximate nearest neighbor search. Hong Liu, Rongrong Ji, Jingdong Wang, and Chunhua Shen. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI).  [pdf]
[j2]  A Survey on Learning to Hash. Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen. TPAMI  [pdf v2] [[pdf v1]]
[j1]  A Distance-Computation-Free Search Scheme for Binary Code Databases. Jingkuan Song, Heng Tao Shen, Jianfeng Wang, Zi Huang, Nicu Sebe, and Jingdong Wang. IEEE Transactions on Multimedia (TMM) .  [pdf]
[c8]  Collaborative Quantization for Cross-Modal Similarity Search. Ting Zhang, and Jingdong Wang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR16).  [pdf]
[c7]  Supervised Quantization for Similarity Search. Xiaojuan Wang,Ting Zhang, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR16).  [pdf]
[c6]  Sparse Composite Quantization. Ting Zhang, Guo-Jun Qi, Jinhui Tang, and Jingdong Wang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR15).  [pdf]
[c5]  Composite Quantization for Approximate Nearest Neighbor Search. Ting Zhang, Chao Du and Jingdong Wang. International Conference of Machine Learning (ICML14).  [pdf]
[c4]  Binary Optimized Hashing. LQi Dai, Jianguo Li, Jingdong Wang, and Yu-Gang Jiang. ACM International Conference on Multimedia (ACMMM16).  [pdf]
[c3]  Optimized Distances for Binary Code Ranking. Jianfeng Wang, Heng Tao Shen, Shuichen Yan, Nenghai Yu, Shipeng Li and Jingdong Wang. ACM International Conference on Multimedia (ACMMM14).  [pdf]
[c2]  Order Preserving Hashing for Approximate Nearest Neighbor Search. Jianfeng Wang, Jingdong Wang, Nenghai Yu and Shipeng Li. ACM Multimedia 2013.  [pdf]
[c1]  Complementary Hashing for Approximate Nearest Neighbor Search. Hao Xu, Jingdong Wang, Zhu Li, Gang Zeng, Shipeng Li, and Nenghai Yu. The Thirteenth IEEE International Conference on Computer Vision (ICCV11).  [pdf]
 
Indexing for Similarity Search
[c4]  Fast Neighborhood Graph Search Using Cartesian Concatenation. Jing Wang, Jingdong Wang, Gang Zeng, Rui Gan, Shipeng Li and Baining Guo. The Fourteenth IEEE International Conference on Computer Vision (ICCV13).  [pdf]
[c3]  Query-driven iterated neighborhood graph search for large scale indexing. Jingdong Wang, and Shipeng Li. ACM Multimedia 2012.  [pdf]
[c2]  Scalable k-NN graph construction for visual descriptors. Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, Rui Gan, and Shipeng Li. IEEE Conference on Computer Vision and Pattern Recognition (CVPR12).  [pdf]
[c1]  Fast approximate k-means via cluster closures. Jing Wang, Jingdong Wang, Qifa Ke, Gang Zeng, and Shipeng Li. IEEE Conference on Computer Vision and Pattern Recognition (CVPR12).  [pdf]
[j1]  Trinary-Projection Trees for Approximate Nearest Neighbor Search. Jingdong Wang, Naiyan Wang, You Jia, Jian Li, Gang Zeng, Hongbin Zha and Xian-Sheng Hua. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).  [pdf]
 
Saliency Detection
[c3]  Co-saliency Detection via Looking Deep and Wide. Dingwen Zhang, Junwei Han, Chao Li, and Jingdong Wang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR15).  [pdf]
[c2]  Salient Object Detection: A Discriminative Regional Feature Integration Approach. Huaizu Jiang, Jingdong Wang, Zejian Yuan, Yang Wu, Nanning Zheng and Shipeng Li. IEEE Conference on Computer Vision and Pattern Recognition (CVPR13).  [pdf]
[c1]  Salient Object Detection for Searched Web Images via Global Saliency. Peng Wang, Jingdong Wang, Gang Zeng, Jie Feng, Hongbin Zha, and Shipeng Li. IEEE Conference on Computer Vision and Pattern Recognition (CVPR12).  [pdf]
[j4]  Salient Object Detection: A Discriminative Regional Feature Integration Approach. Jingdong Wang, Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Xiaowei Hu, and Nanning Zheng. International Journal of Computer Vision (IJCV).  [pdf]
[j3]  DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection. Xi Li, Liming Zhao, Lina Wei, Ming-Hsuan Yang, Fei Wu, Yueting Zhuang, Haibin Ling, and Jingdong Wang IEEE Transactions on Image Processing (TIP).  [pdf]
[j2]  Detection of Co-salient Objects by Looking Deep and Wide. Dingwen Zhang, Junwei Han, Chao Li, Jingdong Wang, and Xuelong Li. International Journal of Computer Vision (IJCV).  [pdf]
[j1]  Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection. Congyan Lang, Jiashi Feng, Songhe Feng, Jingdong Wang, and Shuicheng Yan. IEEE Transactions on Neural Networks and Learning Systems (TNNLS).  [pdf]
 
Image Search
[c3]  Ensemble Diffusion for Retrieval. Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, Qi Tian. ICCV 2017.  [pdf]
[c2]  Clickage: Towards Bridging Semantic and Intent Gaps via Mining Click Logs of Search Engines. Xian-Sheng Hua, Linjun Yang, Jingdong Wang, Jing Wang, Ming Ye, Kuansan Wang, Yong Rui, and Jin Li. ACM Multimedia 2013.  [pdf]
[c1]  Image search results refinement via outlier detection using deep contexts. Junyang Lu, Jiazhen Zhou, Jingdong Wang, Tao Mei, Xian-Sheng Hua, and Shipeng Li. IEEE Conference on Computer Vision and Pattern Recognition (CVPR12).  [pdf]
[j1]  Accurate Image Search with Multi-Scale Contextual Evidencese. Liang Zheng, Shengjin Wang, Jingdong Wang, and Qi Tian. International Journal of Computer Vision (IJCV).  [pdf]
 
Tracking and Crowd Analysis
[c2]  Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach. Weiyue Wang, Weiyao Lin, Yuanze Chen, Jianxin Wu, Jingdong Wang, and Bin Sheng. The 13th European Conference on Computer Vision (ECCV14).  [pdf]
[c1]  Online Robust Non-negative Dictionary Learning for Visual Tracking. Naiyan Wang, Jingdong Wang and Dit-Yan Yeung. The Fourteenth IEEE International Conference on Computer Vision (ICCV13).  [pdf]
[j2]  Multi-timescale Collaborative Tracking. Dapeng Chen, Zejian Yuan, Gang Hua, Jingdong Wang, and Nanning Zheng. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).  [pdf]
[j1]  A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes. Weiyao Lin, Yang Mi, Weiyue Wang, Jianxin Wu, Jingdong Wang, and Tao Mei. IEEE Transactions on Image Processing (TIP).  [pdf]
 
Segmentation
[c4]  Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing. Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu, and Jingdong Wang. CVPR 2018.  [pdf]
[c3]  Learning CRFs for Image Parsing with Adaptive Subgradient Descent. Honghui Zhang, Jingdong Wang, Ping Tan, Jinglu Wang and Long Quan. The Fourteenth IEEE International Conference on Computer Vision (ICCV13).  [pdf]
[c2]  Multi-task Low-Rank Affinities Pursuit for Image Segmentation. Bin Cheng, Guangcan Liu, Jingdong Wang, Zhongyang Huang, and Shuicheng Yan. The Thirteenth IEEE International Conference on Computer Vision (ICCV11).  [pdf]
[c1]  Structure-sensitive Superpixels via Geodesic Distance. Gang Zeng, Peng Wang, Jingdong Wang, Rui Gan, and Hongbin Zha. The Thirteenth IEEE International Conference on Computer Vision (ICCV11).  [pdf]
[j2]  Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation. Jingdong Wang, Huaizu Jiang, Yangqing Jia, Xian-Sheng Hua, Changshui Zhang and Long Quan. IEEE Transactions on Image Processing (TIP).  [pdf]
[j1]  Structure-sensitive Superpixels via Geodesic Distance. Peng Wang, Gang Zeng, Rui Gan, Jingdong Wang, and Hongbin Zha. International Journal of Computer Vision (IJCV).  [pdf]
 
Image Understanding
[c4]  RIDE: Reversal Invariant Descriptor Enhancement. Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, and Qi Tian. The Fourteenth IEEE International Conference on Computer Vision (ICCV15).  [pdf]
[c3]  Orientational Pyramid Matching for Recognizing Indoor Scenes. Lingxi Xie, Jingdong Wang, Baining Guo, Bo Zhang and Qi Tian. IEEE Conference on Computer Vision and Pattern Recognition (CVPR14).  [pdf]
[c2]  Supervised Kernel Descriptors for Visual Recognition. Peng Wang, Jingdong Wang, Gang Zeng, Weiwei Xu, Hongbin Zha and Shipeng Li. IEEE Conference on Computer Vision and Pattern Recognition (CVPR13).  [pdf]
[c1]  Fixed-Point Model For Structured Labeling. Quannan Li, Jingdong Wang, David Wipf, and Zhuowen Tu. International Conference of Machine Learning (ICML13).  [pdf]
[j2]  Towards Reversal-Invariant Image Representation. Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, and Qi Tian. International Journal of Computer Vision (IJCV).  [pdf]
[j1]  Joint Multilabel Classification With Community-Aware Label Graph Learning. Xi Li, Xueyi Zhao, Zhongfei Zhang, Fei Wu, Yueting Zhuang, Jingdong Wang, and Xuelong Li. IEEE Transactions on Image Processing (TIP).  [pdf]
 
Pose Estimation
[c1]  Human Pose Estimation using Global and Local Normalization. Ke Sun, Cuiling Lan, Junliang Xing, Dong Liu, Wenjun Zeng, Jingdong Wang. ICCV 2017.  [pdf]
 

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