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Liang Lin

Solving Inefficiency of Self-supervised Representation Learning


Apr 18, 2021
Guangrun Wang, Keze Wang, Guangcong Wang, Phillip H. S. Torr, Liang Lin

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* 11 pages, 3 figures 
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Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition


Mar 31, 2021
Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang

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* To appear in IEEE Transactions ON Neural Networks and Learning Systems. We prove that dynamically adapting network architectures tailored for each domain task along with weight finetuning benefits in both efficiency and effectiveness, compared to the existing image recognition pipeline that only tunes the weights regardless of the architecture 
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Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation


Mar 09, 2021
Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo

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* 14 pages, 7 figures 
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GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer


Feb 01, 2021
Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin

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* The first two authors share equal-authorship; Code:https://github.com/SenZHANG-GitHub/graph-text-style-transfer ; benchmark: https://github.com/ykshi/text-style-transfer-benchmark 
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Temporal Contrastive Graph for Self-supervised Video Representation Learning


Feb 01, 2021
Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin

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* 11 pages, 4 figures 
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Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer


Jan 26, 2021
Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang

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* To appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (T-PAMI) 2021. We propose a graph reasoning and transfer learning framework, which incorporates human knowledge and label taxonomy into the intermediate graph representation learning beyond local convolutions. arXiv admin note: substantial text overlap with arXiv:1904.04536 
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Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition


Jan 09, 2021
Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin

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* To appear in IEEE Transactions on Cybernetics 2021. We attempt to resolve the challenging medical report composition task by i) enforcing the semantic consistency of medical terms to be incorporated into the final reports; and ii) encouraging the sentence generation for rare abnormal descriptions 
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REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement


Jan 03, 2021
Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin

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* Accepted by AAAI 2021 
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AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition


Dec 29, 2020
Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin

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Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition


Dec 23, 2020
Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin

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* accepted in AAAI2021 
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Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation


Dec 22, 2020
Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

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* Accepted by AAAI 2021 
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Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding


Dec 14, 2020
Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin

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* To appear in TNNLS 2021. Considering that a desirable VQA model should correctly perceive the image context, understand the question, and incorporate its learned knowledge, our proposed dataset aims to cutoff the shortcut learning exploited by the current deep embedding models and push the research boundary of the knowledge-based visual question reasoning 
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Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting


Dec 08, 2020
Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin

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* We introduce a large-scale RGBT benchmark for crowd counting 
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Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp


Nov 30, 2020
Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin

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Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation


Oct 30, 2020
Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin

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* NeurIPS2020 
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A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning


Oct 15, 2020
Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin

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* Accepted as a Regular Paper in IEEE Transactions on Pattern Analysis and Machine Intelligence 
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Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems


Oct 14, 2020
Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin

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* EMNLP2020 
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GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems


Oct 08, 2020
Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang

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* Long paper; EMNLP2020 
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results


Sep 25, 2020
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, Haoyu Zhong, 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, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Feras Almasri, Thomas Vandamme, Olivier Debeir

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* European Conference on Computer Vision Workshops, 2020 
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Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition


Sep 20, 2020
Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu

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* Accepted at TPAMI 
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Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection


Sep 18, 2020
Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin

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* Accepted by ECCV 2020 
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Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos


Sep 18, 2020
Jie Wu, Guanbin Li, Xiaoguang Han, Liang Lin

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* Accepted by ACM MM 2020 
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Collaborative Training between Region Proposal Localization and Classi?cation for Domain Adaptive Object Detection


Sep 17, 2020
Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin

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* Accepted by ECCV 2020 
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Online Alternate Generator against Adversarial Attacks


Sep 17, 2020
Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu

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* Accepted as a Regular paper in the IEEE Transactions on Image Processing 
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Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition


Sep 02, 2020
Yang Liu, Guanbin Li, Liang Lin

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. This paper focuses on the sensor-to-vision heterogenous action recognition problem. Codes is available in https://github.com/YangLiu9208/SAKDN 
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Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark


Aug 27, 2020
Tianshui Chen, Tao Pu, Yuan Xie, Hefeng Wu, Lingbo Liu, Liang Lin

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* Extension of our ACM MM 2020 paper. arXiv admin note: substantial text overlap with arXiv:2008.00859 
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