Code & Dataset

More datasets and codes are available at: https://github.com/mmic-lcl

Code

RGBT Tracking

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.

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)

Video Segmentation

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

Multi-interactive Encoder-decoder Network: [code]

Citation: Zhengzheng Tu, Zhun Li, Chenglong Li*, Yang Lang, and Jin Tang. Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection. Submitted to IEEE Transactions on Image Processing.

Collaborative Graph Learning: [code]

Citation: Zhengzheng Tu, Tian Xia, Chenglong Li, Xiaoxiao Wang, and Yan Ma. RGB-T Image Saliency Detection via Collaborative Graph Learning. IEEE Transactions on Multimedia (TMM), 2020.

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.

Dataset

RGBT Tracking

RGBT234 Dataset [Google drive] [Baidu cloud] [Project]

Citation: Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, and Jin Tang. RGB-T Object Tracking: Benchmark and Baseline. Pattern Recognition (PR), 2019.

RGBT210 Dataset [Google drive] [Baidu cloud]

Citation: Chenglong Li, Nan Zhao, Yijuan Lu, Chengli Zhu, and Jin Tang. Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking. ACM International Conference on Multimedia (ACM MM), 2017.

GTOT Dataset [Google drive] [Baidu cloud]

Citation: Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, and Liang Lin.Learning Collaborative Sparse Representation for Grayscale-thermal Tracking. IEEE Transactions on Image Processing (T-IP), 25(12): 5743-5756, 2016.

Thermal Image Semantic Segmentation

SODA Dataset [Google drive] [Baidu cloud]

Citation: Chenglong Li, Wei Xia, Yan Yan, Bin Luo, and Jin Tang. Segmenting Objects in Day and Night:Edge-Conditioned CNN for Thermal Image Semantic Segmentation. IEEE Transactions on Neural Networks and Learning Systems, 2020.

RGBT Moving Object Detection

GTFD Dataset [Google drive] [Baidu cloud]

Citation: Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, and Liang Lin. WELD: Weighted Low-rank Decomposition or Robust Grayscale-Thermal Foreground Detection. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 27(4): 725-738, 2017.

RGBT Image Saliency Detection

VT5000 Dataset[[Google drive]][Baidu cloud](likp)

Citation:

VT1000 Dataset [Google drive] [Baidu cloud]

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.

VT821 Dataset [Google drive] [Baidu cloud]

Citation: Guizhao Wang, Chenglong Li, Yunpeng Ma, Aihua Zheng, Bin Luo, and Jin Tang. A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach. Chinese Conference on Image and Graphics Technologies, 2018.

Jin Tang, Dongzhe Fan, Xiaoxiao Wang, Zhengzheng Tu, and Chenglong Li. RGBT Salient Object Detection: Benchmark and A Novel Cooperative Ranking Approach. IEEE Transactions on Circuits and Systems for Video Technology, 2020.