张立和，山西应县人，教授，博士生导师。从事计算机视觉、人工智能、多媒体信息安全方面的科研工作。在本领域顶级会议CVPR/ICCV/ECCV和期刊IEEE TPAMI/IEEE TIP/《电子学报》/《软件学报》等发表论文50余篇，论文入选CVPR2013、ICCV2013被引TOP3和TOP15。谷歌学术引用9000余次，单篇最高被引2600余次。主持科技创新2030“新一代人工智能”重大项目子课题、国自然面上基金3项、省市科研项目和企事业委托项目二十余项。获辽宁省科技进步一等奖、教育部自然科学二等奖、辽宁省自然科学学术成果一等奖。

指导研究生获奖励及荣誉称号30余人次，包括“挑战杯”大学生课外学术科技作品竞赛辽宁省特等奖、MICCAI2022 青光眼OCT图像分析与层分割国际竞赛亚军、华为终端Camera学术之星1人次、研究生国家奖学金3人次、华为奖学金2人次、大连市优秀毕业生1人次、校优秀研究生10人次、校优秀硕士学位论文4人次等。毕业学生入职华为、阿里、百度、迈瑞、小米、高德、网易、滴滴、中兴、好未来、沈飞所、交行(上海)、农行(北京)等知名企事业单位。

谷歌学术：https://scholar.google.com/citations?user=XGPdQbIAAAAJ 

个人主页：https://lihezhang-dut.github.io/ （很久没更新了）

欢迎有梦想、肯努力、能坚持的同学加入！

Publications (Partial)：

会议

[25] Jiayu Sun, Ke Xu, Youwei Pang, Lihe Zhang, Huchuan Lu, Gerhard Hancke, Rynson Lau. Adaptive illumination mapping for shadow detection in raw images, ICCV, 2023.
[24] Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin. Fast adversarial training with smooth convergence, ICCV, 2023.
[23] Fang Liu, Yuhao Liu, Yuqiu Kong, Ke Xu, Lihe Zhang, Baocai Yin, Gerhard Hancke, Rynson Lau. Referring image segmentation using text supervision, ICCV, 2023.
[22] Zuopeng Tan, Hengyu Zhang, Feng Tian, Lihe Zhang, Weibing Sun, Huchuan Lu. Progressively coupling network for brain mri registration in few-shot situation, MICCAI, 2023.
[21] Jiayu Sun, Zhanghan Ke, Ke Xu, Fan Shao, Lihe Zhang, Huchan Lu, Rynson Lau. Semantics-adding flaw-erasing network for semantic human matting, BMVC, 2022.  (Oral)
[20] Youwei Pang, Xiaoqi Zhao, Tianzhu Xiang, Lihe Zhang, Huchuan Lu, Zoom In and out: A mixed-scale triplet network for camouflaged object detection, CVPR, 2022.
[19] Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan. Self-supervised representation learning for RGB-D salient object detection, AAAI, 2022.
[18] Guang Feng, Zhiwei Hu, Lihe Zhang, Huchuan Lu. Encoder fusion network with co-attention embedding for referring image segmentation, CVPR, 2021.
[17] Xiaoqi Zhao, Youwei Pang, Jiaxin Yang, Lihe Zhang, Huchuan Lu. Multi-source fusion and automatic predictor selection for zero-shot video object segmentation, ACM MM, 2021. (Oral)
[16] Xiaoqi Zhao, Lihe Zhang, Huchuan Lu. Automatic polyp segmentation via multi-scale subtraction network, MICCAI, 2021.
[15] Zhiwei Hu, Guang Feng, Jiayu Sun, Lihe Zhang, Huchuan Lu. Bi-directional relationship inferring network for referring image segmentation, CVPR, 2020.
[14] Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu. Multi-scale interactive network for salient object detection, CVPR, 2020.
[13] Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang. Suppress and balance: A simple gated network for salient object detection, ECCV, 2020. (Oral)
[12] Xiaoqi Zhao, Lihe Zhang, Youwei Pang, Huchuan Lu, Lei Zhang. A single stream network for robust and real-time RGB-D salient object detection, ECCV, 2020.
[11] Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu. Hierarchical dynamic filtering network for RGB-D salient object detection, ECCV, 2020.
[10] Tiantian Wang, Yongri Piao, Xiao Li, Lihe Zhang, Huchuan Lu. Deep learning for light field saliency detection, ICCV, 2019.
[9] Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang. Joint learning of saliency detection and weakly supervised semantic segmentation, ICCV, 2019.
[8] Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Y Yu. Multi-source weak supervision for saliency detection, CVPR, 2019.
[7] Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Ali Borji. Detect globally, refine locally: a novel approach to saliency detection, CVPR, 2018.
[6] Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji. Learning to promote saliency detectors, CVPR, 2018.
[5] Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu, A Stagewise refinement model for detecting salient objects in images, ICCV, 2017.
[4] Tiantian Wang, Lihe Zhang, Huchuan Lu, Chong Sun, Jinqing Qi, Kernelized subspace ranking for saliency detection, ECCV, 2016.
[3] Xiaohui Li, Huchuan Lu, Lihe Zhang, Xiang Ruan, Ming-Hsuan Yang. Saliency detection via dense and sparse reconstruction, ICCV, 2013.
[2] Bowen Jiang, Lihe Zhang, Huchuan Lu, Chuan Yang, Ming-Hsuan Yang. Saliency detection via absorbing Markov Chain, ICCV, 2013.
[1] Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang. Saliency detection via graph-based manifold ranking, CVPR, 2013.

期刊

[20] Jiaxing Yang, Lihe Zhang, Huchuan Lu. Referring image segmentation with fine-grained semantic funneling infusion, IEEE TNNLS, Early Access, 2023.
[19] Guang Feng, Zhiwei Hu, Lihe Zhang, Jiayu Sun, Huchuan Lu. Bidirectional relationship inferring network for referring image localization and segmentation, IEEE TNNLS, 34(5): 2246-2258, 2023.
[18] Guang Feng, Lihe Zhang, Jiayu Sun, Zhiwei Hu, Huchuan Lu. Referring segmentation via encoder-fused cross-modal attention network, IEEE TPAMI, 45(6): 7654-7667, 2023.
[17] Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu. CAVER: Cross-modal view-mixed transformer for bi-modal salient object detection, IEEE TIP, 32(1): 892-904, 2023.
[16] Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu. Joint learning of salient object detection, depth estimation and contour extraction, IEEE TIP, 31(12): 7350-7362, 2022.
[15] Guang Feng, Lihe Zhang, Zhiwei Hu, Huchuan Lu, Learning from box annotations for referring image segmentation, IEEE TNNLS, Early Access, 2022.
[14] Hongshuang Zhang, Yu Zeng, Huchuan Lu, Lihe Zhang, Jianhua Li, Jinqing Qi, Learning to detect salient object with multi-source weak supervision, IEEE TPAMI, 44(7): 3577-3589, 2022.
[13] Guang Feng, Jinyu Meng, Lihe Zhang, Huchuan Lu, Encoder deep interleaved network with multi-scale aggregation for RGB-D salient object detection, PR, 128: 1-11, 2022.
[12] Lihe Zhang, Jiayu Sun, Tiantian Wang, Yifan Min and Huchuan Lu. Visual saliency detection via kernelized subspace ranking with active learning. IEEE TIP, 29(1): 2258-2270, 2020.
[11] Lihe Zhang, Jie Wu, Tiantian Wang, Ali Borji, Guohua Wei and Huchuan Lu. A multistage refinement network for salient object detection. IEEE TIP, 29(1): 3534-3545, 2020.
[10] Mingyang Qian, Jinqing Qi, Lihe Zhang, Mengyang Feng, Huchuan Lu. Language-aware weak supervision for salient object detection, PR, 96: 1-11, 2019.
[9] Lihe Zhang, Jianwu Ai, Bowen Jiang, Huchuan Lu, Xiukui Li. Saliency detection via absorbing Markov chain with learnt transition probability, IEEE TIP, 27(2): 987-998, 2018.
[8] Fang Huang, Jingqing Qi, Huchuan Lu, Lihe Zhang, Xiang Ruan, Salient object detection via multiple instance learning, IEEE TIP, 26(4): 1911-1922, 2017.
[7] Lihe Zhang, Chuan Yang, Huchuan Lu, Xiang Ruan, Ming-hsuan Yang, Ranking saliency, IEEE TPAMI, 39(9): 1892-1904, 2017.
[6] Lihe Zhang, Huchuan Lu, Dandan Du, Luning Liu. Sparse Hashing Tracking, IEEE TIP, 25(2): 840-849, 2016.
[5] Dandan Du, Lihe Zhang, Huchuan Lu, Xue Mei, Xiaoli Li. Discriminative hash tracking with group sparsity, IEEE TCY, 46(8): 1914-1925, 2016.
[4] Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan, Shun Sakai. Video anomaly detection based on locality sensitive hashing filters, PR, 59: 302-311, 2016.
[3] Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan. Combining motion and appearance cues for anomaly detection, PR, 51: 443-452, 2016.
[2] Huchuan Lu, Xiaohui Li, Lihe Zhang, Xiang Ruan, Ming-Hsuan Yang. Dense and sparse reconstruction error based saliency descriptor, IEEE TIP, 25(4): 1592-1603, 2016.
[1] Chuan Yang, Lihe Zhang, Huchuan Lu. Graph-regularized saliency detection with convex -hull-based prior, IEEE SPL, 20(7): 637-640, 2013.