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Vitaly Ablavsky
Vitaly Ablavsky
Applied Physics Laboratory, University of Washington, Seattle
Verified email at ieee.org - Homepage
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Cited by
Year
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
2142023
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
972010
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
702014
Optimal search for a moving target-A geometric approach
V Ablavsky, M Snorrason
AIAA Guidance, Navigation, and Control Conference and Exhibit, 4060, 2000
662000
Layered Graphical Models for Tracking Partially Occluded Objects
V Ablavsky, S Sclaroff
Pattern Analysis and Machine Intelligence, IEEE Transactions on 33 (9), 1758 …, 2011
552011
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
342021
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
322020
Automatic Feature Selection with Applications to Script Identification of Degraded Documents.
V Ablavsky, MR Stevens
ICDAR, 750-754, 2003
312003
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
302021
Background models for tracking objects in water
V Ablavsky
Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003
292003
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
272021
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
222020
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
212019
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
212003
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
202022
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
192008
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
162005
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
122019
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
122011
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
112020
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