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2020 – today
- 2022
[j116]Xiaojun Yang, Siyuan Li, Ke Liang, Feiping Nie, Liang Lin:
Structured graph optimization for joint spectral embedding and clustering. Neurocomputing 503: 62-72 (2022)- [j115]Xiaojun Yang
, Guoquan Lin, Yijun Liu, Feiping Nie, Liang Lin:
Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j114]Lin Nie, Tianshui Chen, Zhouxia Wang, Wenxiong Kang, Liang Lin:
Multi-label image recognition with attentive transformer-localizer module. Multim. Tools Appl. 81(6): 7917-7940 (2022) - [j113]Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1371-1384 (2022) - [j112]Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin:
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1725-1737 (2022) - [j111]Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2504-2518 (2022) - [j110]Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. IEEE Trans. Cybern. 52(6): 5015-5025 (2022) - [j109]Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin:
TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning. IEEE Trans. Image Process. 31: 1978-1993 (2022) - [j108]Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin:
Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction. IEEE Trans. Intell. Transp. Syst. 23(4): 3377-3391 (2022) - [j107]Liang Lin, Pengxiang Yan, Xiaoqian Xu, Sibei Yang, Kun Zeng, Guanbin Li:
Structured Attention Network for Referring Image Segmentation. IEEE Trans. Multim. 24: 1922-1932 (2022) - [j106]Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang:
Configurable Graph Reasoning for Visual Relationship Detection. IEEE Trans. Neural Networks Learn. Syst. 33(1): 117-129 (2022) - [j105]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2758-2767 (2022) - [c199]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. AAAI 2022: 339-346 - [c198]Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. AAAI 2022: 2091-2098 - [c197]Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning. AAAI 2022: 3000-3008 - [c196]Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang:
Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy. ICASSP 2022: 1660-1664 - [c195]Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li:
Double-Check Soft Teacher for Semi-Supervised Object Detection. IJCAI 2022: 1430-1436 - [i202]Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning. CoRR abs/2202.13170 (2022) - [i201]Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR abs/2203.02172 (2022) - [i200]Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin:
Open Set Domain Adaptation By Novel Class Discovery. CoRR abs/2203.03329 (2022) - [i199]Tao Pu, Lixian Yuan, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic Representation and Dependency Learning for Multi-Label Image Recognition. CoRR abs/2204.03795 (2022) - [i198]Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin:
Causal Reasoning with Spatial-temporal Representation Learning: A Prospective Study. CoRR abs/2204.12037 (2022) - [i197]Haoyuan Lan, Yang Liu, Liang Lin:
Audio-Visual Contrastive Learning for Self-supervised Action Recognition. CoRR abs/2204.13386 (2022) - [i196]Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang:
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. CoRR abs/2205.03055 (2022) - [i195]Xiaoqian Xu, Pengxu Wei, Weikai Chen, Mingzhi Mao, Liang Lin, Guanbin Li:
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. CoRR abs/2205.03524 (2022) - [i194]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang:
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. CoRR abs/2205.08232 (2022) - [i193]Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin:
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels. CoRR abs/2205.11131 (2022) - [i192]Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR abs/2205.13092 (2022) - [i191]Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi:
Real-World Image Super-Resolution by Exclusionary Dual-Learning. CoRR abs/2206.02609 (2022) - [i190]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. CoRR abs/2207.01450 (2022) - [i189]Ziyi Dong, Pengxu Wei, Liang Lin:
Adversarially-Aware Robust Object Detector. CoRR abs/2207.06202 (2022) - [i188]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR abs/2207.07858 (2022) - [i187]Yang Liu, Guanbin Li, Liang Lin:
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering. CoRR abs/2207.12647 (2022) - 2021
- [j104]Guanbin Li, Pengxiang Yan, Yuan Xie, Guisheng Wang, Liang Lin, Yizhou Yu:
Instance-level salient object segmentation. Comput. Vis. Image Underst. 207: 103207 (2021) - [j103]Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin:
Deep CockTail Networks. Int. J. Comput. Vis. 129(8): 2328-2351 (2021) - [j102]Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 887-901 (2021) - [j101]Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu:
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread. IEEE Trans. Cybern. 51(12): 6188-6199 (2021) - [j100]Yang Liu, Keze Wang, Guanbin Li, Liang Lin:
Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. IEEE Trans. Image Process. 30: 5573-5588 (2021) - [j99]Yiming Gao, Zhanghui Kuang, Guanbin Li, Wayne Zhang, Liang Lin:
Hierarchical Reasoning Network for Human-Object Interaction Detection. IEEE Trans. Image Process. 30: 8306-8317 (2021) - [j98]Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin:
Image Comes Dancing With Collaborative Parsing-Flow Video Synthesis. IEEE Trans. Image Process. 30: 9259-9269 (2021) - [j97]Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer. ACM Trans. Intell. Syst. Technol. 12(3): 32:1-32:16 (2021) - [j96]Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin:
Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 22(11): 7169-7183 (2021) - [j95]Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin:
Fine-Grained Image Captioning With Global-Local Discriminative Objective. IEEE Trans. Multim. 23: 2413-2427 (2021) - [j94]Junpeng Tan, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin:
Unsupervised Multi-View Clustering by Squeezing Hybrid Knowledge From Cross View and Each View. IEEE Trans. Multim. 23: 2943-2956 (2021) - [j93]Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Zhengtao Yu, Liang Lin:
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2142-2156 (2021) - [j92]Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin:
Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5379-5391 (2021) - [c194]Xipeng Chen, Pengxu Wei, Liang Lin:
Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras. AAAI 2021: 1089-1096 - [c193]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. AAAI 2021: 13362-13370 - [c192]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. AAAI 2021: 14112-14120 - [c191]Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. ACL/IJCNLP (Findings) 2021: 513-523 - [c190]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. ACL/IJCNLP (1) 2021: 2718-2729 - [c189]Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. ACL/IJCNLP (1) 2021: 5870-5881 - [c188]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin:
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. CVPR 2021: 4823-4833 - [c187]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. EMNLP (Findings) 2021: 2765-2777 - [c186]Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin:
Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. ICCV 2021: 1594-1603 - [c185]Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li:
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. ICCV 2021: 8290-8299 - [c184]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. ICCV 2021: 9485-9495 - [c183]Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. ICCV 2021: 12334-12344 - [c182]Yi-Bin Cheng, Xipeng Chen, Junhong Chen, Pengxu Wei, Dongyu Zhang, Liang Lin:
Hierarchical Transformer: Unsupervised Representation Learning for Skeleton-Based Human Action Recognition. ICME 2021: 1-6 - [c181]Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin:
Unifying Dynamic Optimizer Search and Network Architecture Search. ICME 2021: 1-6 - [c180]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA 2021: 9490-9497 - [c179]Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin:
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. ICRA 2021: 11154-11161 - [c178]Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin:
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. IJCAI 2021: 1172-1178 - [c177]Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin:
Robust Real-World Image Super-Resolution against Adversarial Attacks. ACM Multimedia 2021: 5148-5157 - [c176]Yang Wu, Shirui Feng, Guanbin Li, Liang Lin:
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation. MMAsia 2021: 40:1-40:5 - [c175]Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo:
Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS 2021: 16305-16318 - [p1]Qingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin:
Graph Reasoning Networks and Applications. Neuro-Symbolic Artificial Intelligence 2021: 103-125 - [i186]Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin:
Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR abs/2101.00820 (2021) - [i185]Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. CoRR abs/2101.03287 (2021) - [i184]Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. CoRR abs/2101.10620 (2021) - [i183]Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer. CoRR abs/2102.00769 (2021) - [i182]Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo:
Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation. CoRR abs/2103.05463 (2021) - [i181]Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang:
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. CoRR abs/2103.16889 (2021) - [i180]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. CoRR abs/2104.08760 (2021) - [i179]Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. CoRR abs/2105.14517 (2021) - [i178]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. CoRR abs/2106.00507 (2021) - [i177]Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. CoRR abs/2106.09645 (2021) - [i176]Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin:
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation. CoRR abs/2107.00946 (2021) - [i175]Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. CoRR abs/2107.01431 (2021) - [i174]Changxin Huang, Jiang Su, Zhihong Zhang, Dong Zhao, Liang Lin:
Hybrid and dynamic policy gradient optimization for bipedal robot locomotion. CoRR abs/2107.01908 (2021) - [i173]Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. CoRR abs/2107.11252 (2021) - [i172]Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin:
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. CoRR abs/2108.03825 (2021) - [i171]Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li:
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. CoRR abs/2108.05617 (2021) - [i170]Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. CoRR abs/2108.09671 (2021) - [i169]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. CoRR abs/2109.09161 (2021) - [i168]Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Liang Lin:
Road Network Guided Fine-Grained Urban Traffic Flow Inference. CoRR abs/2109.14251 (2021) - [i167]Yang Wu, Shirui Feng, Guanbin Li, Liang Lin:
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation. CoRR abs/2110.08571 (2021) - [i166]Junying Huang, Fan Chen, Liang Lin, Dongyu Zhang:
Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference. CoRR abs/2110.13377 (2021) - [i165]Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin:
Image Comes Dancing with Collaborative Parsing-Flow Video Synthesis. CoRR abs/2110.14147 (2021) - [i164]Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang:
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy. CoRR abs/2111.04331 (2021) - [i163]Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin:
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. CoRR abs/2111.15119 (2021) - [i162]Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin:
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR abs/2112.03587 (2021) - [i161]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. CoRR abs/2112.10941 (2021) - 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 - [j91]Lili Huang, Guanbin Li, Ya Li, Liang Lin:
Lightweight adversarial network for salient object detection. Neurocomputing 381: 130-140 (2020) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [j84]Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu:
Online Alternate Generator Against Adversarial Attacks. IEEE Trans. Image Process. 29: 9305-9315 (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) - [c174]Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin:
Knowledge Graph Transfer Network for Few-Shot Recognition. AAAI 2020: 10575-10582 - [c173]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 - [c172]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 - [c171]Qilie Liu, Liang Lin, Yun Li, Yongxiang Liu:
Performance Analysis of Blockchain-Based Internet of Vehicles Under the DSRC Architecture. ChinaCom 2020: 112-126 - [c170]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 - [c169]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 - [c168]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 - [c167]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 - [c166]Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin:
Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection. ECCV (18) 2020: 86-102 - [c165]Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin:
Component Divide-and-Conquer for Real-World Image Super-Resolution. ECCV (8) 2020: 101-117 - [c164]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 H. 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. ECCV Workshops (3) 2020: 392-422 - [c163]Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin:
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. EMNLP (1) 2020: 3780-3789 - [c162]