Liang Lin

Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding

Aug 14, 2018
Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin

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* Accepted at ACM MM 2018 as oral presentation

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Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

Aug 10, 2018
Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin

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* To appear in ACM MM 2018. Code link: https://github.com/HCPLab-SYSU/ATEN. Dataset link: http://sysu-hcp.net/lip

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Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining

Aug 04, 2018
Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin

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* Accepted to ACM Multimedia 2018

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Instance-level Human Parsing via Part Grouping Network

Aug 01, 2018
Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin

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* Accepted by ECCV 2018 (Oral)

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Learning to Segment Object Candidates via Recursive Neural Networks

Jul 29, 2018
Tianshui Chen, Liang Lin, Xian Wu, Nong Xiao, Xiaonan Luo

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* Accepted at TIP

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SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification

Jul 20, 2018
Ruimao Zhang, Hongbin Sun, Jingyu Li, Yuying Ge, Liang Lin, Ping Luo, Xiaogang Wang

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* 10 pages, 3 figures

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Crowd Counting using Deep Recurrent Spatial-Aware Network

Jul 02, 2018
Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin

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* Accepted to IJCAI 2018

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Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition

Jul 02, 2018
Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo

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* Accepted at IJCAI 2018. The first work that introduces high-level knowledge to enhance representation learning for fine-grained image classification

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Deep Reasoning with Knowledge Graph for Social Relationship Understanding

Jul 02, 2018
Zhouxia Wang, Tianshui Chen, Jimmy Ren, Weihao Yu, Hui Cheng, Liang Lin

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* Accepted at IJCAI 2018. The first work that integrates high-level knowledge graph to reason about social relationships between person pair of interest in still image

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Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection

May 24, 2018
Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin

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* We enabled to mine from unlabeled or partially labeled data to boost object detection (Accepted by CVPR 2018) The source code is available at http://kezewang.com/codes/SSM_CVPR.zip

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