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ORCIDJianzhuang Liu
Person information
- affiliation: Huawei Technologies Company Ltd., Noah's Ark Laboratory, Shenzhen, China
- affiliation (2000 - 2012): Chinese University of Hong Kong, Hong Kong
- affiliation (1998 - 2000): Nanyang Technological University, Singapore
- affiliation (PhD 1997): Chinese University of Hong Kong, Hong Kong
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2020 – today
- 2023
[i65]Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. CoRR abs/2302.06072 (2023)- [i64]Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang:
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. CoRR abs/2302.10307 (2023) - [i63]Lei Yu, Bishan Wang, Xiang Zhang, Haijian Zhang, Wen Yang, Jianzhuang Liu, Gui-Song Xia:
Learning to Super-Resolve Blurry Images with Events. CoRR abs/2302.13766 (2023) - [i62]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CoRR abs/2303.16491 (2023) - [i61]Zhangyi Cheng, Xiang Zhang, Lei Yu, Jianzhuang Liu, Wen Yang, Gui-Song Xia:
Recovering Continuous Scene Dynamics from A Single Blurry Image with Events. CoRR abs/2304.02695 (2023) - [i60]Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, Baochang Zhang:
Face Animation with an Attribute-Guided Diffusion Model. CoRR abs/2304.03199 (2023) - [i59]Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang:
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. CoRR abs/2304.14204 (2023) - [i58]Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Jianzhuang Liu, Youliang Yan:
AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions. CoRR abs/2305.03387 (2023) - [i57]Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang:
Controllable Mind Visual Diffusion Model. CoRR abs/2305.10135 (2023) - [i56]Runqi Wang, Hao Zheng, Xiaoyue Duan, Jianzhuang Liu, Yuning Lu, Tian Wang, Songcen Xu, Baochang Zhang:
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment. CoRR abs/2305.11439 (2023) - [i55]Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang:
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CoRR abs/2305.11488 (2023) - 2022
- [j57]Tao Huang
, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu:
Neighbor2Neighbor: A Self-Supervised Framework for Deep Image Denoising. IEEE Trans. Image Process. 31: 4023-4038 (2022) - [j56]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) - [j55]Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji:
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7091-7100 (2022) - [c131]Ming Hong, Jianzhuang Liu, Cuihua Li, Yanyun Qu:
Uncertainty-Driven Dehazing Network. AAAI 2022: 906-913 - [c130]Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian:
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers. AAAI 2022: 1747-1755 - [c129]Zhuoling Li, Zhan Qu, Yang Zhou, Jianzhuang Liu, Haoqian Wang, Lihui Jiang:
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection. CVPR 2022: 2781-2790 - [c128]Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian:
Prompt Distribution Learning. CVPR 2022: 5196-5205 - [c127]Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji:
Neural Architecture Search with Representation Mutual Information. CVPR 2022: 11902-11911 - [c126]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. CVPR 2022: 12329-12338 - [c125]Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang:
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts. CVPR 2022: 15375-15385 - [c124]Zhendong Wang, Xiaodong Cun, Jianmin Bao, Wengang Zhou, Jianzhuang Liu, Houqiang Li:
Uformer: A General U-Shaped Transformer for Image Restoration. CVPR 2022: 17662-17672 - [c123]Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-retroactive Interference for Lifelong Learning. ECCV (24) 2022: 163-178 - [c122]Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan:
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation. ECCV (5) 2022: 590-606 - [c121]Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. ECCV (19) 2022: 740-758 - [c120]Yi Zhu, Zhaoqing Zhu, Bingqian Lin, Xiaodan Liang, Feng Zhao, Jianzhuang Liu:
RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning. EMNLP 2022: 4800-4810 - [c119]Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu:
LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. ICCAD 2022: 124 - [c118]Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu:
Structure-Preserving Graph Representation Learning. ICDM 2022: 927-932 - [c117]Yongjie Shi, Songjiang Li, Xu Jia, Jianzhuang Liu:
Refactoring ISP for High-Level Vision Tasks. ICRA 2022: 2366-2372 - [c116]Huijiao Wang, Tangbo Liu, Chu He, Cheng Li, Jianzhuang Liu, Lei Yu:
Enhancing Event-based Structured Light Imaging with a Single Frame. MFI 2022: 1-7 - [c115]Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang:
FNeVR: Neural Volume Rendering for Face Animation. NeurIPS 2022 - [c114]Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke:
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. NeurIPS 2022 - [i54]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) - [i53]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) - [i52]Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian:
Prompt Distribution Learning. CoRR abs/2205.03340 (2022) - [i51]Zhuoling Li, Zhan Qu, Yang Zhou, Jianzhuang Liu, Haoqian Wang, Lihui Jiang:
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection. CoRR abs/2205.09373 (2022) - [i50]Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang:
ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts. CoRR abs/2205.15509 (2022) - [i49]Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. CoRR abs/2207.09176 (2022) - [i48]Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan:
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation. CoRR abs/2208.00571 (2022) - [i47]Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian:
Low-Light Video Enhancement with Synthetic Event Guidance. CoRR abs/2208.11014 (2022) - [i46]Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-Retroactive Interference for Lifelong Learning. CoRR abs/2208.12967 (2022) - [i45]Yinglong Wang, Chao Ma, Jianzhuang Liu:
Removing Rain Streaks via Task Transfer Learning. CoRR abs/2208.13133 (2022) - [i44]Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu:
Structure-Preserving Graph Representation Learning. CoRR abs/2209.00793 (2022) - [i43]Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang:
FNeVR: Neural Volume Rendering for Face Animation. CoRR abs/2209.10340 (2022) - [i42]Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke:
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. CoRR abs/2212.01769 (2022) - [i41]Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian:
Feature Calibration Network for Occluded Pedestrian Detection. CoRR abs/2212.05717 (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