| The 7th ai city challenge M Naphade, S Wang, DC Anastasiu, Z Tang, MC Chang, Y Yao, L Zheng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 270 | 2023 |
| Siamese natural language tracker: Tracking by natural language descriptions with siamese trackers Q Feng, V Ablavsky, Q Bai, S Sclaroff Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 71* | 2021 |
| Real-time Visual Object Tracking with Natural Language Description Q Feng, V Ablavsky, Q Bai, G Li, S Sclaroff 2020 Winter Conference on Applications of Computer Vision, 2019 | 58 | 2019 |
| Cityflow-nl: Tracking and retrieval of vehicles at city scale by natural language descriptions Q Feng, V Ablavsky, S Sclaroff arXiv preprint arXiv:2101.04741, 2021 | 43 | 2021 |
| Rethinking the data annotation process for multi-view 3d pose estimation with active learning and self-training Q Feng, K He, H Wen, C Keskin, Y Ye Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 13* | 2023 |
| Learning to separate: Detecting heavily-occluded objects in urban scenes C Yang, V Ablavsky, K Wang, Q Feng, M Betke Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
| Cityflow-nl: Tracking and retrieval of vehicles at city scale by natural language descriptions (2021) Q Feng, V Ablavsky, S Sclaroff arXiv preprint ArXiv:2101.04741, 2021 | 5 | 2021 |
| Tell me what to track: visual object tracking and retrieval by natural language descriptions Q Feng Boston University, 2022 | | 2022 |
| Image Identification with Natural Language Specification Q Feng, D Kim | | 2017 |
| Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training Supplementary Material Q Feng, K He, H Wen, C Keskin, Y Ye | | |
Vitaly AblavskyApplied Physics Laboratory, University of Washington, SeattleVerified email at ieee.org
