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06/02/2023
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification
Active Learning (AL) is a human-in-the-loop framework to interactively a...
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05/18/2023
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings
Deep neural networks have consistently shown great performance in severa...
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10/04/2022
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures
Avoiding out-of-distribution (OOD) data is critical for training supervi...
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10/04/2022
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification
Training deep learning models on medical datasets that perform well for ...
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07/05/2022
Object-Level Targeted Selection via Deep Template Matching
Retrieving images with objects that are semantically similar to objects ...
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06/17/2022
Active Data Discovery: Mining Unknown Data using Submodular Information Measures
Active Learning is a very common yet powerful framework for iteratively ...
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03/10/2022
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets
Current semi-supervised learning (SSL) methods assume a balance between ...
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01/30/2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Few-shot classification (FSC) requires training models using a few (typi...
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11/30/2021
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
Deep neural networks based object detectors have shown great success in ...
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10/17/2021
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning
Driving an automobile involves the tasks of observing surroundings, then...
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07/01/2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Active learning has proven to be useful for minimizing labeling costs by...
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04/30/2021
Submodular Mutual Information for Targeted Data Subset Selection
With the rapid growth of data, it is becoming increasingly difficult to ...
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02/27/2021
PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization
With increasing data, techniques for finding smaller, yet effective subs...
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01/26/2021
How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
Automatic video summarization is still an unsolved problem due to severa...
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10/16/2020
Deep Submodular Networks for Extractive Data Summarization
Deep Models are increasingly becoming prevalent in summarization problem...
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10/12/2020
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures
We study submodular information measures as a rich framework for generic...
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07/29/2020
Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework
Automatic video summarization is still an unsolved problem due to severa...
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01/03/2019
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
Supervised machine learning based state-of-the-art computer vision techn...
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01/03/2019
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance
This paper addresses automatic summarization of videos in a unified mann...
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09/26/2018
Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas
Satellite Remote Sensing Technology is becoming a major milestone in the...
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09/24/2018
A Framework towards Domain Specific Video Summarization
In the light of exponentially increasing video content, video summarizat...
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09/24/2018
Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization
With increasing amounts of visual data being created in the form of vide...
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05/27/2018