Code

RGBT Tracking

  1. Cross-Modal Ranking for RGBT Tracking: [cmr_code.rar]

    Citation: Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, and Liang Wang. Cross-Modal Ranking with Soft-Consistency and Noisy Labels for Robust RGB-T Tracking. European Conference on Computer Vision (ECCV), 2018.

  2. Multi-Adapter Network for RGBT Tracking: [code]

    Citation: Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, and Jin Tang. Multi-Adapter RGBT Tracking. International Conference on Computer Vision Workshops, 2019. (Spotlight)

  3. Collaborative Graph Learning for RGBT Saliency Detection: [code]

    Citation: Zhengzheng Tu, Tian Xia, Chenglong Li, Xiaoxiao Wang, Yan Ma. RGB-T Image Saliency Detection via Collaborative Graph Learning. IEEE Transactions on Multimedia (TMM), in press.

Video Segmentation

  1. Sub-Optimal Low-Rank Decomposition: [sold_code]

    Citation: Chenglong Li, Liang Lin, Wangmeng Zuo, Shuicheng Yan, and Jin Tang. SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

    Chenglong Li, Liang Lin, Wangmeng Zuo, Wenzhong Wang, and Jin Tang.An Approach to Streaming Video Segmentation with Sub-Optimal Low-rank Decomposition. IEEE Transactions on Image Processing (T-IP), 25(5): 1947-1960, 2016.

Saliency Detection

  1. Aggregating Complementary Appearance Contrast Measures: [pisa_code]

    Citation: Keze Wang and Liang Lin and Jiangbo Lu and Chenglong Li and Keyang Shi. PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence. IEEE Transactions on Image Processing (TIP), 24(10): 3019-3033, 2015.