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 |
Learning a family of detectors via multiplicative kernels Q Yuan, A Thangali, V Ablavsky, S Sclaroff IEEE transactions on pattern analysis and machine intelligence 33 (3), 514-530, 2010 | 98 | 2010 |
Take your eyes off the ball: Improving ball-tracking by focusing on team play X Wang, V Ablavsky, HB Shitrit, P Fua Computer Vision and Image Understanding 119, 102-115, 2014 | 71 | 2014 |
Optimal search for a moving target-A geometric approach V Ablavsky, M Snorrason Aiaa guidance, navigation, and control conference and exhibit, 4060, 2000 | 69 | 2000 |
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 | 66 | 2021 |
Real-time visual object tracking with natural language description Q Feng, V Ablavsky, Q Bai, G Li, S Sclaroff Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 56 | 2020 |
Layered Graphical Models for Tracking Partially Occluded Objects V Ablavsky, S Sclaroff Pattern Analysis and Machine Intelligence, IEEE Transactions on 33 (9), 1758 …, 2011 | 54 | 2011 |
Zerowaste dataset: Towards deformable object segmentation in cluttered scenes D Bashkirova, M Abdelfattah, Z Zhu, J Akl, F Alladkani, P Hu, V Ablavsky, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 50 | 2022 |
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 |
Distillation multiple choice learning for multimodal action recognition NC Garcia, SA Bargal, V Ablavsky, P Morerio, V Murino, S Sclaroff Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 40 | 2021 |
Automatic Feature Selection with Applications to Script Identification of Degraded Documents. V Ablavsky, MR Stevens ICDAR, 750-754, 2003 | 32 | 2003 |
Dipnet: Dynamic identity propagation network for video object segmentation P Hu, J Liu, G Wang, V Ablavsky, K Saenko, S Sclaroff Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 28 | 2020 |
Background models for tracking objects in water V Ablavsky Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 28 | 2003 |
Search path optimization for UAVs using stochastic sampling with abstract pattern descriptors V Ablavsky, D Stouch, M Snorrason Aiaa Guidance, Navigation, and Control Conference and Exhibit, 5336, 2003 | 23 | 2003 |
Dmcl: Distillation multiple choice learning for multimodal action recognition NC Garcia, SA Bargal, V Ablavsky, P Morerio, V Murino, S Sclaroff arXiv preprint arXiv:1912.10982, 2019 | 22 | 2019 |
Robust visual object tracking with natural language region proposal network Q Feng, V Ablavsky, Q Bai, S Sclaroff arXiv preprint arXiv:1912.02048 1 (7), 8, 2019 | 21 | 2019 |
Multiplicative kernels: Object detection, segmentation and pose estimation Q Yuan, A Thangali, V Ablavsky, S Sclaroff 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 19 | 2008 |
Sequential correction of perspective warp in camera-based documents C Monnier, V Ablavsky, S Holden, M Snorrason Eighth International Conference on Document Analysis and Recognition (ICDAR …, 2005 | 17 | 2005 |
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 |
Learning parameterized histogram kernels on the simplex manifold for image and action classification V Ablavsky, S Sclaroff Proc. IEEE International Conference on Computer Vision, 2011 | 12 | 2011 |