| BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu ... The IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 3072* | 2020 |
| Quasi-dense similarity learning for multiple object tracking J Pang, L Qiu, X Li, H Chen, Q Li, T Darrell, F Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 373 | 2021 |
| Home action genome: Cooperative compositional action understanding N Rai, H Chen, J Ji, R Desai, K Kozuka, S Ishizaka, E Adeli, JC Niebles Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 67 | 2021 |
| Qdtrack: Quasi-dense similarity learning for appearance-only multiple object tracking T Fischer, TE Huang, J Pang, L Qiu, H Chen, T Darrell, F Yu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 45 | 2023 |
| BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. arXiv 2018 F Yu, H Chen, X Wang, W Xian, Y Chen, F Liu, V Madhavan, T Darrell arXiv preprint arXiv:1805.04687, 0 | 15 | |
| Towards material classification of scenes using active thermography H Bai, T Bhattacharjee, H Chen, A Kapusta, CC Kemp 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 6 | 2018 |
| A model that predicts the material recognition performance of thermal tactile sensing T Bhattacharjee, H Bai, H Chen, CC Kemp arXiv: 1711.01490, 2017 | 2 | 2017 |
| Learning monocular 3D object detection from 2D semantic keypoint detection A Bhargava, H Chen, AD Gaidon, RA Ambrus, S Pillai US Patent 11,854,280, 2023 | 1 | 2023 |
| Analyzing material recognition performance of thermal tactile sensing using a large materials database and a real robot H Bai, H Chen, E Healy, CC Kemp, T Bhattacharjee 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2255 …, 2022 | 1 | 2022 |
| Supplementary Material: Quasi-Dense Similarity Learning for Multiple Object Tracking J Pang, L Qiu, X Li, H Chen, Q Li, T Darrell, F Yu, A Hyper-parameters | | |
Fisher YuETH Zurich在 ethz.ch 的电子邮件经过验证
