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2020 – today
- 2020
[b1]Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo:
Human Centric Visual Analysis with Deep Learning. Springer 2020, ISBN 978-981-13-2386-7, pp. 3-156- [j90]Lili Huang, Guanbin Li, Ya Li, Liang Lin
:
Lightweight adversarial network for salient object detection. Neurocomputing 381: 130-140 (2020) - [j89]Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu, Tianshui Chen, Pei Chen, Liang Lin:
Crowd counting via scale-communicative aggregation networks. Neurocomputing 409: 420-430 (2020) - [j88]Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1069-1082 (2020) - [j87]Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2809-2824 (2020) - [j86]Chengbin Chen, YaoYuan Tian, Liang Lin, SiFan Chen, Hanwen Li, YuXin Wang, Kaixiong Su:
Obtaining World Coordinate Information of UAV in GNSS Denied Environments. Sensors 20(8): 2241 (2020) - [j85]Yukai Shi, Haoyu Zhong, Zhijing Yang, Xiaojun Yang, Liang Lin:
DDet: Dual-Path Dynamic Enhancement Network for Real-World Image Super-Resolution. IEEE Signal Process. Lett. 27: 481-485 (2020) - [j84]Yuefang Gao, Zexi Hu, Henry Wing Fung Yeung, Yuk Ying Chung, Xuhong Tian, Liang Lin:
Unifying Temporal Context and Multi-Feature With Update-Pacing Framework for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1078-1091 (2020) - [j83]Xiaobai Liu, Qian Xu, Grayson Adkins, Eric Medwedeff, Liang Lin, Shuicheng Yan:
Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2500-2509 (2020) - [c166]Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. AAAI 2020: 10575-10582 - [c165]Jie Wu, Guanbin Li, Si Liu, Liang Lin:
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video. AAAI 2020: 12386-12393 - [c164]Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. AAAI 2020: 12613-12620 - [c163]Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin:
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. CVPR 2020: 339-348 - [c162]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR 2020: 1986-1995 - [c161]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops 2020: 2045-2057 - [c160]Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. CVPR 2020: 9077-9086 - [c159]Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin:
Grammatically Recognizing Images with Tree Convolution. KDD 2020: 903-912 - [c158]Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin:
Active Object Search. ACM Multimedia 2020: 973-981 - [c157]Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin:
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. ACM Multimedia 2020: 1255-1264 - [c156]Jie Wu, Guanbin Li, Xiaoguang Han, Liang Lin:
Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos. ACM Multimedia 2020: 1283-1291 - [c155]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin:
Efficient Crowd Counting via Structured Knowledge Transfer. ACM Multimedia 2020: 2645-2654 - [i152]Jingwen Chen, Lingbo Liu, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin:
Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction. CoRR abs/2001.04889 (2020) - [i151]Jie Wu, Guanbin Li, Si Liu, Liang Lin:
Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video. CoRR abs/2001.06680 (2020) - [i150]Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu:
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread. CoRR abs/2001.08057 (2020) - [i149]Yukai Shi, Haoyu Zhong, Zhijing Yang, Xiaojun Yang, Liang Lin:
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution. CoRR abs/2002.11079 (2020) - [i148]Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin:
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR abs/2003.06534 (2020) - [i147]Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin:
Linguistically Driven Graph Capsule Network for Visual Question Reasoning. CoRR abs/2003.10065 (2020) - [i146]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin:
Efficient Crowd Counting via Structured Knowledge Transfer. CoRR abs/2003.10120 (2020) - [i145]Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin:
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. CoRR abs/2004.04199 (2020) - [i144]Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. CoRR abs/2004.06272 (2020) - [i143]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR abs/2005.01056 (2020) - [i142]Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin:
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. CoRR abs/2007.02491 (2020) - [i141]Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin:
Fine-Grained Image Captioning with Global-Local Discriminative Objective. CoRR abs/2007.10662 (2020) - [i140]Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin:
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. CoRR abs/2008.00859 (2020) - [i139]Tianshui Chen, Tao Pu, Yuan Xie, Hefeng Wu, Lingbo Liu, Liang Lin:
Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark. CoRR abs/2008.00923 (2020) - [i138]Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin:
Component Divide-and-Conquer for Real-World Image Super-Resolution. CoRR abs/2008.01928 (2020) - [i137]Junpeng Tan, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin:
Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View. CoRR abs/2008.09990 (2020) - [i136]Yang Liu, Guanbin Li, Liang Lin:
Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. CoRR abs/2009.00210 (2020) - [i135]Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu:
Online Alternate Generator against Adversarial Attacks. CoRR abs/2009.08110 (2020) - [i134]Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin:
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection. CoRR abs/2009.08119 (2020) - [i133]Jie Wu, Guanbin Li, Xiaoguang Han, Liang Lin:
Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos. CoRR abs/2009.08614 (2020) - [i132]Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. CoRR abs/2009.09450 (2020) - [i131]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir:
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020) - [i130]Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang:
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. CoRR abs/2010.03994 (2020) - [i129]Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin:
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. CoRR abs/2010.06823 (2020) - [i128]Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin:
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning. CoRR abs/2010.07849 (2020)
2010 – 2019
- 2019
- [j82]Yukai Shi, Jinghui Qin, Pengxu Wei, Wanli Ouyang, Liang Lin:
Perceptual Image Enhancement by Relativistic Discriminant Learning With Cross-Scale Aggregated Representation. IEEE Access 7: 39660-39669 (2019) - [j81]Lili Huang, Pengxiang Yan, Guanbin Li, Qing Wang, Liang Lin:
Attention Embedded Spatio-Temporal Network for Video Salient Object Detection. IEEE Access 7: 166203-166213 (2019) - [j80]Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo:
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 596-610 (2019) - [j79]Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin:
Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 871-885 (2019) - [j78]Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang:
Learning Support Correlation Filters for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1158-1172 (2019) - [j77]Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang:
Visual Tracking via Dynamic Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2770-2782 (2019) - [j76]Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin:
Progressively diffused networks for semantic visual parsing. Pattern Recognit. 90: 78-86 (2019) - [j75]Chaoqun Zhan, Maomeng Su, Chuangxian Wei, Xiaoqiang Peng, Liang Lin, Sheng Wang, Zhe Chen, Feifei Li, Yue Pan, Fang Zheng, Chengliang Chai:
AnalyticDB: Real-time OLAP Database System at Alibaba Cloud. Proc. VLDB Endow. 12(12): 2059-2070 (2019) - [j74]Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu:
Context-Aware Semantic Inpainting. IEEE Trans. Cybern. 49(12): 4398-4411 (2019) - [j73]Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin:
Cross-Modal Attentional Context Learning for RGB-D Object Detection. IEEE Trans. Image Process. 28(4): 1591-1601 (2019) - [j72]Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, Liang Lin:
SCAN: Self-and-Collaborative Attention Network for Video Person Re-Identification. IEEE Trans. Image Process. 28(10): 4870-4882 (2019) - [j71]Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin:
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction. IEEE Trans. Intell. Transp. Syst. 20(10): 3875-3887 (2019) - [j70]Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin:
Neural Task Planning With AND-OR Graph Representations. IEEE Trans. Multim. 21(4): 1022-1034 (2019) - [j69]Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin:
Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning. IEEE Trans. Multim. 21(9): 2248-2262 (2019) - [j68]Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang:
Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria. IEEE Trans. Neural Networks Learn. Syst. 30(3): 834-850 (2019) - [c154]Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin:
FRAME Revisited: An Interpretation View Based on Particle Evolution. AAAI 2019: 3256-3263 - [c153]Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. AAAI 2019: 7346-7353 - [c152]Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin:
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. AAAI 2019: 8594-8601 - [c151]Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin:
CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. CIKM 2019: 1141-1149 - [c150]Jinshan Pan, Jiangxin Dong, Jimmy S. J. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Spatially Variant Linear Representation Models for Joint Filtering. CVPR 2019: 1702-1711 - [c149]Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. CVPR 2019: 1781-1790 - [c148]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c147]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c146]Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin:
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR 2019: 2248-2257 - [c145]Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. CVPR 2019: 2937-2945 - [c144]Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin:
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. CVPR 2019: 4994-5002 - [c143]Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. CVPR 2019: 6163-6171 - [c142]Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li:
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. CVPR 2019: 6419-6428 - [c141]Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. CVPR 2019: 7450-7459 - [c140]Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin:
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. CVPR 2019: 10895-10904 - [c139]Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin:
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. ICCV 2019: 522-531 - [c138]Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin:
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation. ICCV 2019: 1426-1435 - [c137]Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin:
Crowd Counting With Deep Structured Scale Integration Network. ICCV 2019: 1774-1783 - [c136]Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. ICCV 2019: 3066-3075 - [c135]Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin:
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. ICCV 2019: 7283-7292 - [c134]Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin:
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. ICCV 2019: 9576-9585 - [c133]Junyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang:
Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing. ICCV Workshops 2019: 9-17 - [c132]Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin:
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. ICLR (Poster) 2019 - [c131]Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin:
SNAS: stochastic neural architecture search. ICLR (Poster) 2019 - [c130]Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao, Liang Lin:
Taxi Origin-Destination Demand Prediction with Contextualized Spatial-Temporal Network. ICME 2019: 760-765 - [c129]Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Qing Wang, Liang Lin:
Concrete Image Captioning by Integrating Content Sensitive and Global Discriminative Objective. ICME 2019: 1306-1311 - [c128]Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao, Liang Lin:
Crowd Counting via Multi-view Scale Aggregation Networks. ICME 2019: 1498-1503 - [c127]Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin:
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. ICML 2019: 1112-1121 - [c126]Lili Huang, Guanbin Li, Ya Li, Liang Lin:
Lightweight Contrast Modeling for Attention-Aware Visual Localization. ICRA 2019: 2104-2110 - [c125]Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang:
Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs. MICCAI (6) 2019: 594-602 - [i127]Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei:
3D Human Pose Machines with Self-supervised Learning. CoRR abs/1901.03798 (2019) - [i126]Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. CoRR abs/1901.10623 (2019) - [i125]Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. CoRR abs/1903.03326 (2019) - [i124]Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin:
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. CoRR abs/1903.08839 (2019) - [i123]Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. CoRR abs/1904.03579 (2019) - [i122]Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin:
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark. CoRR abs/1904.03845 (2019) - [i121]Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. CoRR abs/1904.04536 (2019) - [i120]Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin:
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition. CoRR abs/1904.09939 (2019) - [i119]Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. CoRR abs/1905.01509 (2019) - [i118]Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin:
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction. CoRR abs/1905.06335 (2019) - [i117]Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin:
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks. CoRR abs/1907.03389 (2019) - [i116]Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin:
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. CoRR abs/1907.03426 (2019) - [i115]Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin:
Learning Compact Target-Oriented Feature Representations for Visual Tracking. CoRR abs/1908.01442 (2019) - [i114]Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin:
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. CoRR abs/1908.04051 (2019) - [i113]Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin:
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. CoRR abs/1908.07325 (2019) - [i112]Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin:
Crowd Counting with Deep Structured Scale Integration Network. CoRR abs/1908.08692 (2019) - [i111]Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. CoRR abs/1908.11754 (2019) - [i110]Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Liang Lin:
ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction. CoRR abs/1909.02902 (2019) - [i109]Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin:
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network. CoRR abs/1909.10128 (2019) - [i108]Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin:
Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning. CoRR abs/1909.13032 (2019) - [i107]Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. CoRR abs/1910.01923 (2019) - [i106]Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. CoRR abs/1911.09579 (2019) - [i105]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR abs/1911.13053 (2019) - [i104]Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin:
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. CoRR abs/1912.08954 (2019) - 2018
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