LIHE
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Lihe Zhang

Lihe Zhang is a professor in the School of Information and Communication Engineering at Dalian University of Technology, Dalian, China. He works on deep learning and computer vision. He received the B.S. degree in Optoelectronic Technology in 1999, the M.S. degree in Signal and Information Processing in 2001 with advisor Prof. Chunhui Zhao, from Harbin Engineering University, Harbin, China. He received the Ph.D. degree in Signal and Information Processing in 2004 with advisor Prof. Zhengming Hu and Prof. Yixian Yang from Beijing University of Posts and Telecommunications, Beijing, China.

Email  /  Google Scholar  /  DBLP

Selected Publications

He is interested in saliency detection, referring expression image segmentation, video object segmentation, etc.

Conference Papers:

  1. Suppress and Balance: A Simple Gated Network for Salient Object Detection
    Xiaoqi Zhao, Youwei Pang, Lihe Zhang*, Huchuan Lu, Lei Zhang
    ECCV 2020 | paper | code
    Oral Presentation

  2. A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
    Xiaoqi Zhao, Lihe Zhang*, Youwei Pang, Huchuan Lu, Lei Zhang
    ECCV 2020 | paper | code

  3. Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
    Youwei Pang, Lihe Zhang*, Xiaoqi Zhao, Huchuan Lu
    ECCV 2020 | paper | code

  4. Bi-directional Relationship Inferring Network for Referring Image Segmentation
    Zhiwei Hu, Guang Feng, Jiayu Sun, Lihe Zhang*, Huchuan Lu
    CVPR 2020 | paper | code

  5. Multi-scale Interactive Network for Salient Object Detection
    Youwei Pang, Xiaoqi Zhao, Lihe Zhang*, Huchuan Lu
    CVPR 2020 | paper | code

  6. Deep Learning for Light Field Saliency Detection
    Tiantian Wang, Yongri Piao, Xiao Li, Lihe Zhang*, Huchuan Lu
    ICCV 2019 | paper | code

  7. Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
    Yu Zeng, Yunzhi Zhuge, Huchuan Lu*, Lihe Zhang
    ICCV 2019 | paper | code

  8. Multi-source Weak Supervision for Saliency Detection,
    Yu Zeng, Yunzi Zhuge, Huchuan Lu*, Lihe Zhang, Mingyang Qian, Yizhou Yu
    CVPR 2019 | paper | code

  9. Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
    Tiantian Wang, Lihe Zhang*, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji
    CVPR 2018 | paper | code

  10. Learning to Promote Saliency Detectors
    Yu Zeng, Huchuan Lu*, Lihe Zhang, Mengyang Feng, Ali Borji
    CVPR 2018 | paper | code

  11. A Stagewise Refinement Model for Detecting Salient Objects in Images
    Tiantian Wang, Ali Borji, Lihe Zhang*, Pingping Zhang, Huchuan Lu
    ICCV 2017 | paper | code

  12. Kernelized Subspace Ranking for Saliency Detection
    Tiantian Wang, Lihe Zhang*, Huchuan Lu, Chong Sun, Jinqing Qi
    ECCV 2016 | paper | code

  13. Saliency Detection via Graph-Based Manifold Ranking,
    Chuan Yang, Lihe Zhang*, Huchuan Lu, Minghsuan Yang
    CVPR 2013 | paper | code c++ | code python | code matlab

  14. Saliency Detection via Absorbing Markov Chain
    Bowen Jiang, Lihe Zhang*, Huchuan Lu, Minghsuan Yang
    ICCV 2013 | paper | code

  15. Saliency Detection via Dense and Sparse Reconstruction
    Xiaohui Li, Huchuan Lu*, Lihe Zhang, Xiang Ruan, Minghsuan Yang
    ICCV 2013 | paper | code

Journal Papers:

  1. Visual Saliency Detection via Kernelized Subspace Ranking with Active Learning
    Lihe Zhang, Jiayu Sun, Tiantian Wang, Yifan Min, Huchuan Lu
    IEEE TIP 2020 | paper | code

  2. A Multistage Refinement Network for Salient Object Detection
    Lihe Zhang, Jian Wu, Tiantian Wang, Ali Borji, Guohua Wei, Huchuan Lu
    IEEE TIP 2020 | paper

  3. Salient Object Detection via Double Random Walks with Dual Restarts
    Jiaxing Yang, Xiang Fang, Lihe Zhang, Huchuan Lu, Guohua Wei
    IVC 2020 | paper

  4. Salient Object Detection by Local and Global Manifold Regularized SVM Model
    Lihe Zhang, Dandan Zhang, Jiayu Sun, Guohua Wei, Hongguang Bo
    NEUROCOMPUTING 2019 | paper

  5. Edge-Aware Convolution Neural Network Based Salient Object Detection
    Wenlong Guan, Tiantian Wang, Jinqing Qi, Lihe Zhang, Huchuan Lu.
    IEEE SPL 2019 | paper

  6. Saliency Detection via Absorbing Markov Chain with Learnt Transition Probability
    Lihe Zhang, Jianwu Ai, Bowen Jiang, Huchuan Lu, Xiukui Li
    IEEE TIP 2018 | paper | code

  7. Salient Object Detection via Proposal Selection
    Lihe Zhang, Qin Zhou
    NEUROCOMPUTING 2018 | paper

  8. Deep Multi-Level Networks with Multi-Task Learning for Saliency Detection
    Lihe Zhang, Xiang Fang, Hongguang Bo, Tiantian Wang, Huchuan Lu
    NEUROCOMPUTING 2019 | paper

  9. Ranking Saliency
    Lihe Zhang, Chuan Yang, Huchuan Lu, Xiang Ruan, Ming-hsuan Yang
    IEEE TPAMI 2017 | paper

  10. Salient Object Detection via Multiple Instance Learning
    Fang Huang, Jingqing Qi, Huchuan Lu, Lihe Zhang, Xiang Ruan
    IEEE TIP 2017 | paper | code

  11. Discriminative Hash Tracking with Group Sparsity
    Dandan Du, Lihe Zhang, Huchuan Lu, Xue Mei, Xiaoli Li
    IEEE TCY 2016 | paper

  12. Sparse Hashing Tracking
    Lihe Zhang, Huchuan Lu, Dandan Du, Luning Liu. Sparse Hashing Tracking,
    IEEE TIP 2016 | paper

  13. Combining Motion and Appearance Cues for Anomaly Detection
    Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan
    PR 2016 | paper

  14. Dense and Sparse Reconstruction Error Based Saliency Descriptor
    Huchuan Lu, Xiaohui Li, Lihe Zhang, Xiang Ruan, Ming-Hsuan Yang
    IEEE TIP 2016 | paper

  15. Video Anomaly Detection Based on Locality Sensitive Hashing Filters
    Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan, Shun Sakai
    PR 2016 | paper
  16. Salient Object Detection via Point-to-Set Metric Learning
    Jia You, Lihe Zhang, Jinqing Qi, Huchuan Lu
    PRL 2016 | paper

  17. Salient Object Detection with Higher Order Potentials and Learning Affinity
    Lihe Zhang, Xinzhe Yuan
    IEEE SPL 2015 | paper

  18. Saliency Detection via Sparse Reconstruction and Joint Label Inference in Multiple Features
    Lihe Zhang, Shoufeng Zhao, Wei Liu, Huchuan Lu
    NEUROCOMPUTING 2015 | paper

  19. Saliency Detection with Multi-Scale Superpixels
    Na Tong, Huchuan Lu, Lihe Zhang, Xiang Ruan
    IEEE SPL 2014 | paper

  20. Graph-Regularized Saliency Detection with Convex-Hull-Based Center Prior
    Chuan Yang, Lihe Zhang, Huchuan Lu
    IEEE SPL 2013 | paper

  21. Superpixel Level Object Recognition under Local Learning
    Huchuan Lu, Xuejiao Feng, Xiaohui Li, Lihe Zhang
    NEUROCOMPUTING 2013 | paper

  22. Localized Multi-Channel Level Set Segmentation Combined with Gabor Texture Feature (Chinese)
    Lihe Zhang, Lili Zhu, Xiaoli Mi
    ACTA ELECTRONICA SINICA 2011 | paper

  23. A Video Watermarking Algorithm Based on 3D Gabor Transform (Chinese)
    Lihe Zhang, Hongtao Wu, Changli Hu
    Journal of Software 2004 | paper

  24. A Survey on Software Watermarking (Chinese)
    Lihe Zhang, Yixian Yang, Xinxin Niu, Shaozhang Niu
    Journal of Software 2003 | paper

Projects

Coming soon ...

People

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