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Vitaly Ablavsky
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2020 – today
- 2024
- [c22]Griffin Golias, Masa Nakura-Fan, Vitaly Ablavsky:
SSP-GNN: Learning to Track via Bilevel Optimization. FUSION 2024: 1-8 - [i12]Griffin Golias, Masa Nakura-Fan, Vitaly Ablavsky:
SSP-GNN: Learning to Track via Bilevel Optimization. CoRR abs/2407.04308 (2024) - 2023
- [j4]Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Tom Murray, John J. Magee, Kevin Delgado, Vitaly Ablavsky, Stan Sclaroff, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke:
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 411-424 (2023) - [c21]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CVPR Workshops 2023: 5538-5548 - [i11]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CoRR abs/2304.07500 (2023) - 2022
- [c20]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CVPR Workshops 2022: 3346-3355 - [c19]Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko:
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. CVPR 2022: 21115-21125 - [i10]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CoRR abs/2204.10380 (2022) - 2021
- [c18]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CVPR Workshops 2021: 4263-4273 - [c17]Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff:
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. CVPR 2021: 5851-5860 - [c16]Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke:
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. FG 2021: 1-8 - [c15]Nuno Cruz Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff:
Distillation Multiple Choice Learning for Multimodal Action Recognition. WACV 2021: 2754-2763 - [i9]Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions. CoRR abs/2101.04741 (2021) - [i8]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CoRR abs/2104.12233 (2021) - [i7]Dina Bashkirova, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko:
ZeroWaste Dataset: Towards Automated Waste Recycling. CoRR abs/2106.02740 (2021) - 2020
- [c14]Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke:
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes. ECCV (18) 2020: 530-546 - [c13]Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff:
Real-time Visual Object Tracking with Natural Language Description. WACV 2020: 689-698 - [c12]Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff:
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation. WACV 2020: 1893-1902 - [i6]Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke:
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. CoRR abs/2002.05242 (2020)
2010 – 2019
- 2019
- [c11]Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky:
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. ICCV 2019: 1252-1261 - [i5]Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff:
Tell Me What to Track. CoRR abs/1907.11751 (2019) - [i4]Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke:
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes. CoRR abs/1912.01674 (2019) - [i3]Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff:
Robust Visual Object Tracking with Natural Language Region Proposal Network. CoRR abs/1912.02048 (2019) - [i2]Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff:
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition. CoRR abs/1912.10982 (2019) - 2018
- [i1]Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky:
Learning Where to Fixate on Foveated Images. CoRR abs/1811.06868 (2018) - 2014
- [j3]Xinchao Wang, Vitaly Ablavsky, Horesh Ben Shitrit, Pascal Fua:
Take your eyes off the ball: Improving ball-tracking by focusing on team play. Comput. Vis. Image Underst. 119: 102-115 (2014) - 2011
- [b1]Vitaly Ablavsky:
Layered graphical models for tracking partially-occluded moving objects in video. Boston University, USA, 2011 - [j2]Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff:
Learning a Family of Detectors via Multiplicative Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 514-530 (2011) - [j1]Vitaly Ablavsky, Stan Sclaroff:
Layered Graphical Models for Tracking Partially Occluded Objects. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1758-1775 (2011) - [c10]Vitaly Ablavsky, Stan Sclaroff:
Learning parameterized histogram kernels on the simplex manifold for image and action classification. ICCV 2011: 1473-1480
2000 – 2009
- 2008
- [c9]Vitaly Ablavsky, Ashwin Thangali, Stan Sclaroff:
Layered graphical models for tracking partially-occluded objects. CVPR 2008 - [c8]Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff:
Multiplicative kernels: Object detection, segmentation and pose estimation. CVPR 2008 - 2007
- [c7]Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff:
Parameter Sensitive Detectors. CVPR 2007 - 2005
- [c6]Camille Monnier, Steve Holden, Magnús Snorrason, Vitaly Ablavsky:
Sequential Correction of Perspective Warp in Camera-based Documents. ICDAR 2005: 394-398 - 2003
- [c5]Vitaly Ablavsky, Mark R. Stevens:
Automatic Feature Selection with Applications to Script Identification of Degraded Documents. ICDAR 2003: 750-754 - [c4]Vitaly Ablavsky:
Background models for tracking objects in water. ICIP (3) 2003: 125-128 - 2002
- [c3]Vitaly Ablavsky, Magnús Snorrason, C. J. Taylor:
Real-time autonomous video enhancement system (RAVE). ICIP (2) 2002: 317-320 - 2001
- [c2]Thomas G. Goodsell, Magnús Snorrason, Harald Ruda, Vitaly Ablavsky:
Navigability Evaluation and Visualization for Mars Rover Operations. VIIP 2001: 653-657 - 2000
- [c1]Thomas G. Goodsell, Magnús Snorrason, Harald Ruda, Vitaly Ablavsky:
Rover obstacle visualizer and navigability evaluator. Mobile Robots / Telemanipulator and Telepresence Technologies 2000: 181-191
Coauthor Index
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last updated on 2024-10-30 21:33 CET by the dblp team
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