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08/22/2023
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training
Learning object segmentation in image and video datasets without human s...
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07/10/2023
FODVid: Flow-guided Object Discovery in Videos
Segmentation of objects in a video is challenging due to the nuances suc...
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06/28/2023
SARC: Soft Actor Retrospective Critic
The two-time scale nature of SAC, which is an actor-critic algorithm, is...
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03/27/2023
Parameter Efficient Local Implicit Image Function Network for Face Segmentation
Face parsing is defined as the per-pixel labeling of images containing h...
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01/17/2023
Towards Estimating Transferability using Hard Subsets
As transfer learning techniques are increasingly used to transfer knowle...
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09/12/2022
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text
Active consumption of digital documents has yielded scope for research i...
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11/23/2021
Status-quo policy gradient in Multi-Agent Reinforcement Learning
Individual rationality, which involves maximizing expected individual re...
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09/08/2021
Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms
Humans excel at learning long-horizon tasks from demonstrations augmente...
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07/09/2021
Form2Seq : A Framework for Higher-Order Form Structure Extraction
Document structure extraction has been a widely researched area for deca...
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07/09/2021
Multi-Modal Association based Grouping for Form Structure Extraction
Document structure extraction has been a widely researched area for deca...
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10/06/2020
Unsupervised Hierarchical Concept Learning
Discovering concepts (or temporal abstractions) in an unsupervised manne...
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09/03/2020
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback
The ability to efficiently search for images over an indexed database is...
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06/24/2020
Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks
Deep neural networks (DNNs) are powerful learning machines that have ena...
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01/15/2020
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss
Social dilemma situations bring out the conflict between individual and ...
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01/15/2020
Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss
In social dilemma situations, individual rationality leads to sub-optima...
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11/27/2019
Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation
In this work, we look at the problem of structure extraction from docume...
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04/23/2018