Guanbin Li (李冠彬)

2019

	Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin, "Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning" IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), 2019. [JCR Rank 1\|CCF A]*
	Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin, "Crowd Counting with Deep Structured Scale Integration Network" International Conference on Computer Vision(ICCV), 2019. [CCF A]
	Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin, "Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation" International Conference on Computer Vision(ICCV), 2019. [CCF A]*
	Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin, "Semi-Supervised Video Salient Object Detection Using Pseudo-Labels" International Conference on Computer Vision(ICCV), 2019. [CCF A]*
	Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang, "Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid" International Conference on Computer Vision(ICCV), 2019. [CCF A]
	Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu, "Motion Guided Attention for Video Salient Object Detection" International Conference on Computer Vision(ICCV), 2019. [CCF A]*
	Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang, "Semi-supervised Skin Detection by Network with Mutual Guidance" International Conference on Computer Vision(ICCV), 2019. [CCF A]
	Sibei Yang, Guanbin Li, Yizhou Yu, "Dynamic Graph Attention for Referring Expression Comprehension" International Conference on Computer Vision(ICCV), 2019. [CCF A]*
	Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang, "Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs" International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
	Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu, "Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation" International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
	Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin, "Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching" International Conference on Machine Learning (ICML), 2019.
	Sibei Yang, Guanbin Li, Yizhou Yu, "Cross-Modal Relationship Inference for Grounding Referring Expressions" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019. [CCF A]*
	Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin, "CluterNet: Deep Hierarchical Cluster Network with Rigorously Rotation-Invariant Representation for Point Cloud Analysis" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019. [CCF A]*
	Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin, "Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition" Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A]
	Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin, "FRAME Revisited: An Interpretation View Based on Particle Evolution" Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A]
	Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu, "Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks" Association for the Advancement of Artificial Intelligence(AAAI), 2019. [CCF A]*
	Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin, "Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning" IEEE Transactions on Multimedia(T-MM*), 2019.
	Haofeng Li, Guanbin Li, Yizhou Yu, "ROSA: Robust Salient Object Detection against Adversarial Attacks" IEEE Transactions on Cybernetics(T-Cybernetics), 2019. [JCR Rank 1]*
	Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin"Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction" IEEE Transactions on Intelligent Transportation Systems(T-ITS*), 2019.
	Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin"Cross-Modal Attentional Context Learning for RGB-D Object Detection" IEEE Transactions on Image Processing(T-IP), 2019.[CCF A]
	Haofeng Li, Guanbin Li, Liang Lin, Yizhou Yu, "Context-Aware Semantic Inpainting" IEEE Transactions on Cybernetics(T-Cybernetics), 2018. [JCR Rank 1]*
	Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin, "Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining" ACM International Conference on Multimedia(ACM MM), 2018. [CCF A]
	Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin, "Attentive LSTM Crowd Flow Machines" ACM International Conference on Multimedia(ACM MM), 2018. [CCF A]*
	Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin, "Crowd Counting using Deep Recurrent Spatial-Aware Network" International Joint Conference on Artificial Intelligence(IJCAI), 2018. [CCF A]*
	Guanbin Li and Yizhou Yu, "Contrast-Oriented Deep Neural Networks for Salient Object Detection" IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2018. [JCR Rank 1]
	Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin, "Flow Guided Recurrent Neural Encoder for Video Salient Object Detection" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A]
	Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, Liang Lin, "Interpretable Video Captioning via Trajectory Structured Localization" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A]*
	Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin, "Visual Question Reasoning on General Dependency Tree" IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2018. [CCF A]
	Guanbin Li, Yuan Xie, Liang Lin, "Weakly Supervised Salient Object Detection Using Image Labels" Association for the Advancement of Artificial Intelligence(AAAI), 2018. [CCF A]
	Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin "Recurrent Attention Reinforcement Learning for Multi-label Image Recognition" Association for the Advancement of Artificial Intelligence(AAAI), 2018. [CCF A]*

2017

	Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu and Liang Lin, "Multi-label Image Recognition by Recurrently Discovering Attentional Regions" International Conference on Computer Vision (ICCV), 2017. [CCF A]
	Guanbin Li, Yuan Xie, Liang Lin and Yizhou Yu, "Instance-Level Salient Object Segmentation" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [CCF A]
	Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li, "Attention Aware Face Hallucination via Deep Reinforcement Learning" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [CCF A]
	Wei Zhang, Chaowei Fang, Guanbin Li, "Automatic colorization with improved spatial coherence and boundary localization" Journal of Computer Science and Technology (JCST), 2017. [CCF B]*

2016

	Guanbin Li and Yizhou Yu, "Deep Contrast Learning for Salient Object Detection" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [CCF A]
	Guanbin Li and Yizhou Yu, "Visual Saliency Detection Based on Multiscale Deep CNN Features" IEEE Transactions on Image Processing(TIP), 2016. [CCF A]
	Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, and Yizhou Yu, "A Drawing Assistant for Generating Color Sketches from Photos" IEEE Computer Graphics and Applications (CG&A), 2016.

2015

Guanbin Li and Yizhou Yu, "Visual Saliency Based on Multiscale Deep Features" IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [CCF A]