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Jianzhuang Liu
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- affiliation: Chinese University of Hong Kong
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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]