Milan, Anton
5 papers on CoChatORCID 0000-0002-9719-3616
Most cited papers
- Verified
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
Lin, G., Milan, A., Shen, C., & Reid, I. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 3,287
- Verified
MOT16: A Benchmark for Multi-Object Tracking
Milan, A., Leal-Taixe, L., Reid, I., Roth, S., & Schindler, K. (2016) · arXiv
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 1,309
- Verified
MOT20: A benchmark for multi object tracking in crowded scenes
Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., Roth, S., Schindler, K., & Leal-Taixé, L. (2020) · arXiv
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 779
- Verified
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
Dendorfer, P., Os̆ep, A., Milan, A., Schindler, K., Cremers, D., Reid, I., Roth, S., & Leal-Taixé, L. (2021) · International Journal of Computer Vision
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 374
- Verified
DeepSetNet: Predicting Sets with Deep Neural Networks
Rezatofighi, S. H., B. G., V. K., Milan, A., Abbasnejad, E., Dick, A., & Reid, I. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 45
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