Vitaly Ablavsky

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 24

Top Topics

Cluttered Scenes

Natural Language Descriptions

Multiple Choice

Top Venues

Publications

Griffin Golias, Masa Nakura-Fan, Vitaly Ablavsky
SSP-GNN: Learning to Track via Bilevel Optimization. CoRR (2024)
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)
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 (2023)
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) (2023)
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)
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)
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 (2022)
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 (2021)
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)
Nuno Cruz Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff
Distillation Multiple Choice Learning for Multimodal Action Recognition. WACV (2021)
Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly Park Woolf, Stan Sclaroff, Margrit Betke
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. FG (2021)
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 (2021)
Qi Feng, Vitaly Ablavsky, Stan Sclaroff
CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions. CoRR (2021)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. CVPR (2021)
Ping Hu, Jun Liu, Gang Wang, Vitaly Ablavsky, Kate Saenko, Stan Sclaroff
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation. WACV (2020)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
Real-time Visual Object Tracking with Natural Language Description. WACV (2020)
Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes. ECCV (18) (2020)
Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly Park Woolf, Stan Sclaroff, Margrit Betke
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. CoRR (2020)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Guorong Li, Stan Sclaroff
Tell Me What to Track. CoRR (2019)
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. ICCV (2019)
Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes. CoRR (2019)
Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky, Pietro Morerio, Vittorio Murino, Stan Sclaroff
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition. CoRR (2019)
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
Robust Visual Object Tracking with Natural Language Region Proposal Network. CoRR (2019)
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
Learning Where to Fixate on Foveated Images. CoRR (2018)
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 (2014)
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff
Learning a Family of Detectors via Multiplicative Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 33 (3) (2011)
Vitaly Ablavsky, Stan Sclaroff
Learning parameterized histogram kernels on the simplex manifold for image and action classification. ICCV (2011)
Vitaly Ablavsky, Stan Sclaroff
Layered Graphical Models for Tracking Partially Occluded Objects. IEEE Trans. Pattern Anal. Mach. Intell. 33 (9) (2011)
Vitaly Ablavsky, Ashwin Thangali, Stan Sclaroff
Layered graphical models for tracking partially-occluded objects. CVPR (2008)
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff
Multiplicative kernels: Object detection, segmentation and pose estimation. CVPR (2008)
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan Sclaroff
Parameter Sensitive Detectors. CVPR (2007)
Camille Monnier, Steve Holden, Magnús Snorrason, Vitaly Ablavsky
Sequential Correction of Perspective Warp in Camera-based Documents. ICDAR (2005)
Vitaly Ablavsky, Mark R. Stevens
Automatic Feature Selection with Applications to Script Identification of Degraded Documents. ICDAR (2003)
Vitaly Ablavsky
Background models for tracking objects in water. ICIP (3) (2003)
Vitaly Ablavsky, Magnús Snorrason, C. J. Taylor
Real-time autonomous video enhancement system (RAVE). ICIP (2) (2002)
Thomas G. Goodsell, Magnús Snorrason, Harald Ruda, Vitaly Ablavsky
Navigability Evaluation and Visualization for Mars Rover Operations. VIIP (2001)
Thomas G. Goodsell, Magnús Snorrason, Harald Ruda, Vitaly Ablavsky
Rover obstacle visualizer and navigability evaluator. Mobile Robots / Telemanipulator and Telepresence Technologies (2000)