Sujoy Paul | DeepAI

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∙ 08/29/2023

Is it an i or an l: Test-time Adaptation of Text Line Recognition Models

Recognizing text lines from images is a challenging problem, especially ...

0 Debapriya Tula, et al. ∙

∙ 07/21/2022

Novel Class Discovery without Forgetting

Humans possess an innate ability to identify and differentiate instances...

5 K J Joseph, et al. ∙

∙ 04/22/2022

Spacing Loss for Discovering Novel Categories

Novel Class Discovery (NCD) is a learning paradigm, where a machine lear...

11 K J Joseph, et al. ∙

∙ 12/04/2021

Unsupervised Adaptation of Semantic Segmentation Models without Source Data

We consider the novel problem of unsupervised domain adaptation of sourc...

0 Sujoy Paul, et al. ∙

∙ 12/04/2021

SITA: Single Image Test-time Adaptation

In Test-time Adaptation (TTA), given a model trained on some source data...

0 Ansh Khurana, et al. ∙

∙ 07/31/2021

Learning Few-shot Open-set Classifiers using Exemplar Reconstruction

We study the problem of how to identify samples from unseen categories (...

0 Sayak Nag, et al. ∙

∙ 05/20/2021

Cross-domain Imitation from Observations

Imitation learning seeks to circumvent the difficulty in designing prope...

3 Dripta S. Raychaudhuri, et al. ∙

∙ 04/05/2021

Unsupervised Multi-source Domain Adaptation Without Access to Source Data

Unsupervised Domain Adaptation (UDA) aims to learn a predictor model for...

0 Sk. Miraj Ahmed, et al. ∙

∙ 08/13/2020

Adversarial Knowledge Transfer from Unlabeled Data

While machine learning approaches to visual recognition offer great prom...

10 Akash Gupta, et al. ∙

∙ 07/30/2020

Domain Adaptive Semantic Segmentation Using Weak Labels

Learning semantic segmentation models requires a huge amount of pixel-wi...

6 Sujoy Paul, et al. ∙

∙ 07/21/2020

Learning Person Re-identification Models from Videos with Weak Supervision

Most person re-identification methods, being supervised techniques, suff...

0 Xueping Wang, et al. ∙

∙ 11/03/2019

Learning from Trajectories via Subgoal Discovery

Learning to solve complex goal-oriented tasks with sparse terminal-only ...

0 Sujoy Paul, et al. ∙

∙ 04/09/2019

Context-Aware Query Selection for Active Learning in Event Recognition

Activity recognition is a challenging problem with many practical applic...

0 Mahmudul Hasan, et al. ∙

∙ 04/05/2019

Weakly Supervised Video Moment Retrieval From Text Queries

There have been a few recent methods proposed in text to video moment re...

0 Niluthpol Chowdhury Mithun, et al. ∙

∙ 11/28/2018

Trajectory-based Learning for Ball-in-Maze Games

Deep Reinforcement Learning has shown tremendous success in solving seve...

0 Sujoy Paul, et al. ∙

∙ 08/06/2018

Incorporating Scalability in Unsupervised Spatio-Temporal Feature Learning

Deep neural networks are efficient learning machines which leverage upon...

0 Sujoy Paul, et al. ∙

∙ 07/27/2018

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

Most activity localization methods in the literature suffer from the bur...

0 Sujoy Paul, et al. ∙

∙ 07/02/2018

Adversarial Perturbations Against Real-Time Video Classification Systems

Recent research has demonstrated the brittleness of machine learning sys...

6 Shasha Li, et al. ∙

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