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2020 – today
- 2022
[j55]Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian:
Feature Calibration Network for Occluded Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 23(5): 4151-4163 (2022)- [i43]Fuhai Chen, Xiaoshuai Sun, Xuri Ge, Jianzhuang Liu, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension. CoRR abs/2203.06382 (2022) - [i42]Xiaodong Cun, Zhendong Wang, Chi-Man Pun, Jianzhuang Liu, Wengang Zhou, Xu Jia, Houqiang Li:
Learning Enriched Illuminants for Cross and Single Sensor Color Constancy. CoRR abs/2203.11068 (2022) - [i41]Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian:
Prompt Distribution Learning. CoRR abs/2205.03340 (2022) - 2021
- [j54]Hanlin Chen, Li'an Zhuo, Baochang Zhang
, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. Int. J. Comput. Vis. 129(2): 501-516 (2021) - [j53]Chunlei Liu, Wenrui Ding, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Guodong Guo, David S. Doermann:
Rectified Binary Convolutional Networks with Generative Adversarial Learning. Int. J. Comput. Vis. 129(4): 998-1012 (2021) - [j52]Jipeng Wu, Rongrong Ji, Jianzhuang Liu, Mingliang Xu, Jiawen Zheng, Ling Shao, Qi Tian:
Real-time semantic segmentation via sequential knowledge distillation. Neurocomputing 439: 134-145 (2021) - [j51]Yiheng Liu, Wengang Zhou, Jianzhuang Liu, Guo-Jun Qi, Qi Tian, Houqiang Li:
An End-to-End Foreground-Aware Network for Person Re-Identification. IEEE Trans. Image Process. 30: 2060-2071 (2021) - [j50]Ke Ning, Lingxi Xie, Jianzhuang Liu, Fei Wu, Qi Tian:
Interaction-Integrated Network for Natural Language Moment Localization. IEEE Trans. Image Process. 30: 2538-2548 (2021) - [j49]Nan Meng, Kai Li, Jianzhuang Liu, Edmund Y. Lam:
Light Field View Synthesis via Aperture Disparity and Warping Confidence Map. IEEE Trans. Image Process. 30: 3908-3921 (2021) - [c113]Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji:
Dual Distribution Alignment Network for Generalizable Person Re-Identification. AAAI 2021: 1054-1062 - [c112]Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Domain General Face Forgery Detection by Learning to Weight. AAAI 2021: 2638-2646 - [c111]Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye:
Multiple Instance Active Learning for Object Detection. CVPR 2021: 5330-5339 - [c110]Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. CVPR 2021: 6438-6447 - [c109]Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang:
Multi-Target Domain Adaptation With Collaborative Consistency Learning. CVPR 2021: 8187-8196 - [c108]Jianzhong He, Xu Jia, Shuaijun Chen, Jianzhuang Liu:
Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation. CVPR 2021: 11008-11017 - [c107]Shuaijun Chen, Xu Jia, Jianzhong He, Yongjie Shi, Jianzhuang Liu:
Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation. CVPR 2021: 11018-11027 - [c106]Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu:
Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images. CVPR 2021: 14781-14790 - [c105]Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji:
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering. ICCV 2021: 2054-2064 - [c104]Fang Xu, Lei Yu, Bishan Wang, Wen Yang, Gui-Song Xia, Xu Jia, Zhendong Qiao, Jianzhuang Liu:
Motion Deblurring with Real Events. ICCV 2021: 2563-2572 - [c103]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. ICCV 2021: 5178-5188 - [c102]Peixian Chen, Wenfeng Liu, Pingyang Dai, Jianzhuang Liu, Qixiang Ye, Mingliang Xu, Qi'an Chen, Rongrong Ji:
Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID. ICCV 2021: 11813-11822 - [c101]Fengchao Peng, Chao Wang, Jianzhuang Liu, Zhen Yang:
Active Learning for Lane Detection: A Knowledge Distillation Approach. ICCV 2021: 15132-15141 - [i40]Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu:
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images. CoRR abs/2101.02824 (2021) - [i39]Shuaijun Chen, Xu Jia, Jianzhong He, Yongjie Shi, Jianzhuang Liu:
Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation. CoRR abs/2103.04705 (2021) - [i38]Jianzhong He, Xu Jia, Shuaijun Chen, Jianzhuang Liu:
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation. CoRR abs/2103.04717 (2021) - [i37]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR abs/2103.12369 (2021) - [i36]Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye:
Multiple instance active learning for object detection. CoRR abs/2104.02324 (2021) - [i35]Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji:
Towards Compact CNNs via Collaborative Compression. CoRR abs/2105.11228 (2021) - [i34]Zhendong Wang, Xiaodong Cun, Jianmin Bao, Jianzhuang Liu:
Uformer: A General U-Shaped Transformer for Image Restoration. CoRR abs/2106.03106 (2021) - [i33]Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang:
Multi-Target Domain Adaptation with Collaborative Consistency Learning. CoRR abs/2106.03418 (2021) - [i32]Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian:
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. CoRR abs/2107.06916 (2021) - [i31]Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan:
Wavelet-Based Network For High Dynamic Range Imaging. CoRR abs/2108.01434 (2021) - [i30]Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. CoRR abs/2109.05432 (2021) - [i29]Fang Xu, Lei Yu, Bishan Wang, Wen Yang, Gui-Song Xia, Xu Jia, Zhendong Qiao, Jianzhuang Liu:
Motion Deblurring with Real Events. CoRR abs/2109.13695 (2021) - [i28]Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CoRR abs/2111.09136 (2021) - [i27]Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian:
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers. CoRR abs/2112.09426 (2021) - 2020
- [j48]Chunlei Liu, Wenrui Ding, Yuan Hu, Xin Xia, Baochang Zhang, Jianzhuang Liu, David S. Doermann:
Circulant Binary Convolutional Networks for Object Recognition. IEEE J. Sel. Top. Signal Process. 14(4): 884-893 (2020) - [j47]Xianyu Chen, Yali Wang, Jianzhuang Liu, Yu Qiao:
DID: Disentangling-Imprinting-Distilling for Continuous Low-Shot Detection. IEEE Trans. Image Process. 29: 7765-7778 (2020) - [c100]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. AAAI 2020: 10526-10533 - [c99]Nan Meng, Xiaofei Wu, Jianzhuang Liu, Edmund Y. Lam:
High-Order Residual Network for Light Field Super-Resolution. AAAI 2020: 11757-11764 - [c98]Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao:
Context-Transformer: Tackling Object Confusion for Few-Shot Detection. AAAI 2020: 12653-12660 - [c97]Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. CVPR 2020: 359-368 - [c96]Shuaijun Chen, Zhen Han, Enyan Dai, Xu Jia, Ziluan Liu, Xing Liu, Xueyi Zou, Chunjing Xu, Jianzhuang Liu, Qi Tian:
Unsupervised Image Super-Resolution with an Indirect Supervised Path. CVPR Workshops 2020: 1924-1933 - [c95]Lin Liu, Xu Jia, Jianzhuang Liu, Qi Tian:
Joint Demosaicing and Denoising With Self Guidance. CVPR 2020: 2237-2246 - [c94]Chengying Gao, Qi Liu, Qi Xu, Limin Wang, Jianzhuang Liu, Changqing Zou:
SketchyCOCO: Image Generation From Freehand Scene Sketches. CVPR 2020: 5173-5182 - [c93]Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu, Dong Huang:
Multiple Anchor Learning for Visual Object Detection. CVPR 2020: 10203-10212 - [c92]Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian:
Noise-Aware Fully Webly Supervised Object Detection. CVPR 2020: 11323-11332 - [c91]Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian:
Wavelet-Based Dual-Branch Network for Image Demoiréing. ECCV (13) 2020: 86-102 - [c90]Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian:
API-Net: Robust Generative Classifier via a Single Discriminator. ECCV (13) 2020: 379-394 - [c89]Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang:
Large-Scale Few-Shot Learning via Multi-modal Knowledge Discovery. ECCV (10) 2020: 718-734 - [c88]Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Rongrong Ji, Fuhai Chen, Jianzhuang Liu, Qi Tian:
Attacking Image Captioning Towards Accuracy-Preserving Target Words Removal. ACM Multimedia 2020: 4226-4234 - [c87]Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory G. Slabaugh, Qi Tian:
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs. NeurIPS 2020 - [i26]Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian:
Filter Sketch for Network Pruning. CoRR abs/2001.08514 (2020) - [i25]Chengying Gao, Qi Liu, Qi Xu, Jianzhuang Liu, Limin Wang, Changqing Zou:
SketchyCOCO: Image Generation from Freehand Scene Sketches. CoRR abs/2003.02683 (2020) - [i24]Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu, Yu Qiao:
Context-Transformer: Tackling Object Confusion for Few-Shot Detection. CoRR abs/2003.07304 (2020) - [i23]Nan Meng, Xiaofei Wu, Jianzhuang Liu, Edmund Y. Lam:
High-Order Residual Network for Light Field Super-Resolution. CoRR abs/2003.13094 (2020) - [i22]Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. CoRR abs/2005.03837 (2020) - [i21]Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian:
Wavelet-Based Dual-Branch Network for Image Demoireing. CoRR abs/2007.07173 (2020) - [i20]Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Qi Tian, Rongrong Ji:
Dual Distribution Alignment Network for Generalizable Person Re-Identification. CoRR abs/2007.13249 (2020) - [i19]Nan Meng, Kai Li, Jianzhuang Liu, Edmund Y. Lam:
Light Field View Synthesis via Aperture Flow and Propagation Confidence Map. CoRR abs/2009.02978 (2020) - [i18]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo:
Binarized Neural Architecture Search for Efficient Object Recognition. CoRR abs/2009.04247 (2020) - [i17]Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory G. Slabaugh, Qi Tian:
Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs. CoRR abs/2011.02055 (2020)
2010 – 2019
- 2019
- [c86]Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. AAAI 2019: 8344-8351 - [c85]Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann:
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. AAAI 2019: 9348-9355 - [c84]Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann:
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation. CVPR 2019: 2691-2699 - [c83]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CVPR 2019: 2800-2809 - [c82]Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian:
Multinomial Distribution Learning for Effective Neural Architecture Search. ICCV 2019: 1304-1313 - [c81]Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji:
Bayesian Optimized 1-Bit CNNs. ICCV 2019: 4908-4916 - [c80]Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. IJCAI 2019: 854-860 - [c79]Xiaodi Wang, Ce Li, Yipeng Mou, Baochang Zhang, Jungong Han, Jianzhuang Liu:
Taylor Convolutional Networks for Image Classification. WACV 2019: 1271-1279 - [i16]Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian:
Multinomial Distribution Learning for Effective Neural Architecture Search. CoRR abs/1905.07529 (2019) - [i15]Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu, Guodong Guo, Rongrong Ji:
Bayesian Optimized 1-Bit CNNs. CoRR abs/1908.06314 (2019) - [i14]Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo:
RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. CoRR abs/1908.07748 (2019) - [i13]Zhen Han, Enyan Dai, Xu Jia, Xiaoying Ren, Shuaijun Chen, Chunjing Xu, Jianzhuang Liu, Qi Tian:
Unsupervised Image Super-Resolution with an Indirect Supervised Path. CoRR abs/1910.02593 (2019) - [i12]Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann:
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation. CoRR abs/1910.10853 (2019) - [i11]Yiheng Liu, Wengang Zhou, Jianzhuang Liu, Guojun Qi, Qi Tian, Houqiang Li:
An End-to-End Foreground-Aware Network for Person Re-Identification. CoRR abs/1910.11547 (2019) - [i10]Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji:
Binarized Neural Architecture Search. CoRR abs/1911.10862 (2019) - [i9]Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu, Dong Huang:
Multiple Anchor Learning for Visual Object Detection. CoRR abs/1912.02252 (2019) - 2018
- [j46]Shangzhen Luan, Chen Chen, Baochang Zhang, Jungong Han, Jianzhuang Liu:
Gabor Convolutional Networks. IEEE Trans. Image Process. 27(9): 4357-4366 (2018) - [c78]Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu:
Modulated Convolutional Networks. CVPR 2018: 840-848 - [c77]Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu:
Memory Attention Networks for Skeleton-based Action Recognition. IJCAI 2018: 1639-1645 - [c76]Shangzhen Luan, Baochang Zhang, Siyue Zhou, Chen Chen, Jungong Han, Wankou Yang, Jianzhuang Liu:
Gabor Convolutional Networks. WACV 2018: 1254-1262 - [i8]Baochang Zhang, Jiaxin Gu, Chen Chen, Jungong Han, Xiangbo Su, Xianbin Cao, Jianzhuang Liu:
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing. CoRR abs/1804.00256 (2018) - [i7]Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Changqing Zou, Jianzhuang Liu:
Memory Attention Networks for Skeleton-based Action Recognition. CoRR abs/1804.08254 (2018) - [i6]Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David S. Doermann:
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation. CoRR abs/1811.12755 (2018) - [i5]Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. CoRR abs/1812.04368 (2018) - 2017
- [j45]Baochang Zhang, Zhigang Li, Alessandro Perina, Alessio Del Bue, Vittorio Murino, Jianzhuang Liu:
Adaptive Local Movement Modeling for Robust Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 27(7): 1515-1526 (2017) - [i4]Shangzhen Luan, Baochang Zhang, Chen Chen, Xianbin Cao, Jungong Han, Jianzhuang Liu:
Gabor Convolutional Networks. CoRR abs/1705.01450 (2017) - 2016
- [j44]Baochang Zhang, Alessandro Perina, Zhigang Li, Vittorio Murino, Jianzhuang Liu, Rongrong Ji:
Bounding Multiple Gaussians Uncertainty with Application to Object Tracking. Int. J. Comput. Vis. 118(3): 364-379 (2016) - [j43]Changqing Zou, Tianfan Xue, Xiaojiang Peng, Honghua Li, Baochang Zhang, Ping Tan, Jianzhuang Liu:
An example-based approach to 3D man-made object reconstruction from line drawings. Pattern Recognit. 60: 543-553 (2016) - 2015
- [j42]Changqing Zou, Xiaojiang Peng, Hao Lv, Shifeng Chen, Hongbo Fu, Jianzhuang Liu:
Sketch-based 3-D modeling for piecewise planar objects in single images. Comput. Graph. 46: 130-137 (2015) - [j41]Bo Li, Yijuan Lu, Chunyuan Li, Afzal Godil, Tobias Schreck, Masaki Aono, Martin Burtscher, Qiang Chen, Nihad Karim Chowdhury, Bin Fang, Hongbo Fu, Takahiko Furuya, Haisheng Li, Jianzhuang Liu, Henry Johan, Ryuichi Kosaka, Hitoshi Koyanagi, Ryutarou Ohbuchi, Atsushi Tatsuma, Yajuan Wan, Chaoli Zhang, Changqing Zou:
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries. Comput. Vis. Image Underst. 131: 1-27 (2015) - [j40]Baochang Zhang, Zhili Mao, Wanquan Liu, Jianzhuang Liu:
Geometric Reinforcement Learning for Path Planning of UAVs. J. Intell. Robotic Syst. 77(2): 391-409 (2015) - [j39]Zhanpeng Zhang, Wei Zhang, Huijun Ding, Jianzhuang Liu, Xiaoou Tang:
Hierarchical facial landmark localization via cascaded random binary patterns. Pattern Recognit. 48(4): 1277-1288 (2015) - [j38]Linjie Yang, Jianzhuang Liu, Xiaoou Tang:
Depth From Water Reflection. IEEE Trans. Image Process. 24(4): 1235-1243 (2015) - [j37]Changqing Zou, Shifeng Chen, Hongbo Fu, Jianzhuang Liu:
Progressive 3D Reconstruction of Planar-Faced Manifold Objects with DRF-Based Line Drawing Decomposition. IEEE Trans. Vis. Comput. Graph. 21(2): 252-263 (2015) - [c75]Dihong Gong, Zhifeng Li, Dacheng Tao, Jianzhuang Liu, Xuelong Li:
A maximum entropy feature descriptor for age invariant face recognition. CVPR 2015: 5289-5297 - [i3]Changqing Zou, Zhe Huang, Rynson W. H. Lau, Jianzhuang Liu, Hongbo Fu:
Sketch-based Shape Retrieval using Pyramid-of-Parts. CoRR abs/1502.04232 (2015) - 2014
- [j36]Baochang Zhang, Wanquan Liu, Zhili Mao, Jianzhuang Liu, LinLin Shen:
Cooperative and Geometric Learning Algorithm (CGLA) for path planning of UAVs with limited information. Autom. 50(3): 809-820 (2014) - [j35]Juan Liu, Baochang Zhang, Haoran Zeng, LinLin Shen, Jianzhuang Liu, Jason Zhao:
The BeiHang Keystroke Dynamics Systems, Databases and baselines. Neurocomputing 144: 271-281 (2014) - [j34]Changqing Zou, Changhu Wang, Yafei Wen, Lei Zhang, Jianzhuang Liu:
Viewpoint-Aware Representation for Sketch-Based 3D Model Retrieval. IEEE Signal Process. Lett. 21(8): 966-970 (2014) - [j33]Zhanpeng Zhang, Wei Zhang, Jianzhuang Liu, Xiaoou Tang:
Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns. IEEE Trans. Circuits Syst. Video Technol. 24(9): 1475-1485 (2014) - [c74]Bo Li, Yijuan Lu, C. Li, Afzal Godil, Tobias Schreck, Masaki Aono, Martin Burtscher, Hongbo Fu, Takahiko Furuya, Henry Johan, Jianzhuang Liu, Ryutarou Ohbuchi, Atsushi Tatsuma, Changqing Zou:
Extended Large Scale Sketch-Based 3D Shape Retrieval. 3DOR@Eurographics 2014: 121-130 - [c73]Changqing Zou, Heng Yang, Jianzhuang Liu:
Separation of Line Drawings Based on Split Faces for 3D Object Reconstruction. CVPR 2014: 692-699 - [c72]Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu:
Transitive Distance Clustering with K-Means Duality. CVPR 2014: 987-994 - [c71]Linjie Yang, Jianzhuang Liu, Xiaoou Tang:
Object Detection and Viewpoint Estimation with Auto-masking Neural Network. ECCV (3) 2014: 441-455 - [c70]Zhenhua Chai, Dong Wang, Tian Wang, Jianzhuang Liu, Xinzi Zhang, Yihong Gong:
Evaluation on Huawei Accurate and Fast Mobile Video Annotation Challenge. ICME Workshops 2014: 1-6 - [c69]Yafei Wen, Changqing Zou, Jianzhuang Liu, Shuze Du, Shifeng Chen:
Sketch-Based 3D Model Retrieval via Multi-feature Fusion. ICPR 2014: 4570-4575 - [c68]Suli Ji, Baochang Zhang, Dandan Du, Biao He, Jianzhuang Liu:
Similarity Michaelis-Menten law pre-processing descriptor for face recognition. IJCNN 2014: 1272-1277 - 2013
- [j32]Yao Cao, Baochang Zhang, Jianzhuang Liu, Jiangsha Ma:
Weighted Margin Sparse Embedded classifier for brake cylinder detection. Neurocomputing 120: 560-568 (2013) - [j31]Shifeng Chen, Ming Liu, Wei Zhang, Jianzhuang Liu:
Edge preserving image denoising with a closed form solution. Pattern Recognit. 46(3): 976-988 (2013) - [j30]Qixiang Ye, Zhenjun Han, Jianbin Jiao, Jianzhuang Liu:
Human Detection in Images via Piecewise Linear Support Vector Machines. IEEE Trans. Image Process. 22(2): 778-789 (2013) - [j29]