The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 547-601, 2020 | 292 | 2020 |
Learning submodular losses with the Lovász hinge J Yu, M Blaschko International Conference on Machine Learning, 1623-1631, 2015 | 52 | 2015 |
The lovász hinge: A novel convex surrogate for submodular losses J Yu, MB Blaschko IEEE transactions on pattern analysis and machine intelligence 42 (3), 735-748, 2018 | 44 | 2018 |
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction J Yu, J Xu, Y Chen, W Li, Q Wang, B Yoo, JJ Han International Conference on Machine Learning, 12198-12207, 2021 | 20 | 2021 |
AFOD: Adaptive focused discriminative segmentation tracker Y Chen, J Xu, J Yu, Q Wang, BI Yoo, JJ Han European Conference on Computer Vision, 666-682, 2020 | 13 | 2020 |
A convex surrogate operator for general non-modular loss functions J Yu, M Blaschko Artificial Intelligence and Statistics, 1032-1041, 2016 | 13 | 2016 |
Efficient learning for discriminative segmentation with supermodular losses J Yu, M Blaschko British Machine Vision Conference, 2016 | 4 | 2016 |
Revisiting evaluation metrics for semantic segmentation: Optimization and evaluation of fine-grained intersection over union Z Wang, M Berman, A Rannen-Triki, PHS Torr, D Tuia, T Tuytelaars, ... Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 3 | 2023 |
An efficient decomposition framework for discriminative segmentation with supermodular losses J Yu, MB Blaschko arXiv preprint arXiv:1702.03690, 2017 | 2 | 2017 |
Hardness Results for Structured Learning and Inference with Multiple Correct Outputs M Blaschko, J Yu Constructive Machine Learning Workshop at ICML, 2015 | 2 | 2015 |
Lovász hinge for learning submodular losses J Yu, M Blaschko NIPS Workshop on Representation and Learning Methods for Complex Outputs, 1-6, 2014 | 2 | 2014 |
Efficient Learning on Successive Test Time Augmentation S Pan, J Yu, D Lee, Y Chen, C Zhang, Q Wang, BI Yoo ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction Y Zhou, H Zhang, J Yu, Y Yang, S Jung, SI Park, BI Yoo arXiv preprint arXiv:2403.08639, 2024 | | 2024 |
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking B Huang, J Yu, Y Chen, S Pan, Q Wang, Z Wang Advances in Neural Information Processing Systems 36, 2023 | | 2023 |
Yes, IoU loss is submodular-as a function of the mispredictions M Berman, MB Blaschko, AR Triki, J Yu arXiv preprint arXiv:1809.01845, 2018 | | 2018 |
Minimisation du risque empirique avec des fonctions de perte nonmodulaires J Yu Université Paris-Saclay (ComUE), 2017 | | 2017 |
Empirical risk minimization with non-modular loss functions J Yu | | 2017 |
The Lovász hinge: A convex surrogate for submodular losses J Yu, MB Blaschko stat 1050, 24, 2015 | | 2015 |