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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 ...
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07/21/2022
Novel Class Discovery without Forgetting
Humans possess an innate ability to identify and differentiate instances...
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04/22/2022
Spacing Loss for Discovering Novel Categories
Novel Class Discovery (NCD) is a learning paradigm, where a machine lear...
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12/04/2021
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
We consider the novel problem of unsupervised domain adaptation of sourc...
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12/04/2021
SITA: Single Image Test-time Adaptation
In Test-time Adaptation (TTA), given a model trained on some source data...
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07/31/2021
Learning Few-shot Open-set Classifiers using Exemplar Reconstruction
We study the problem of how to identify samples from unseen categories (...
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05/20/2021
Cross-domain Imitation from Observations
Imitation learning seeks to circumvent the difficulty in designing prope...
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04/05/2021
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Unsupervised Domain Adaptation (UDA) aims to learn a predictor model for...
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08/13/2020
Adversarial Knowledge Transfer from Unlabeled Data
While machine learning approaches to visual recognition offer great prom...
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07/30/2020
Domain Adaptive Semantic Segmentation Using Weak Labels
Learning semantic segmentation models requires a huge amount of pixel-wi...
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07/21/2020
Learning Person Re-identification Models from Videos with Weak Supervision
Most person re-identification methods, being supervised techniques, suff...
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11/03/2019
Learning from Trajectories via Subgoal Discovery
Learning to solve complex goal-oriented tasks with sparse terminal-only ...
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04/09/2019
Context-Aware Query Selection for Active Learning in Event Recognition
Activity recognition is a challenging problem with many practical applic...
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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...
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11/28/2018
Trajectory-based Learning for Ball-in-Maze Games
Deep Reinforcement Learning has shown tremendous success in solving seve...
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08/06/2018
Incorporating Scalability in Unsupervised Spatio-Temporal Feature Learning
Deep neural networks are efficient learning machines which leverage upon...
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07/27/2018
W-TALC: Weakly-supervised Temporal Activity Localization and Classification
Most activity localization methods in the literature suffer from the bur...
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07/02/2018
