Suraj Kothawade

According to our database, Suraj Kothawade authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation.

Shivang Chopra, Suraj Kothawade, Houda Aynaou, Aman Chadha

CoRR, 2024

Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification.

Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings.

Anay Majee, Suraj Kothawade, Krishnateja Killamsetty, Rishabh K. Iyer

CoRR, 2023

Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling.

Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin

CoRR, 2023

STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings.

Nathan Beck, Suraj Kothawade, Pradeep Shenoy, Rishabh K. Iyer

CoRR, 2023

DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation.

Suraj Kothawade, Anmol Reddy Mekala, D. Chandra Sekhara Hetha Havya, Mayank Kothyari, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification.

Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh K. Iyer

CoRR, 2022

Active Data Discovery: Mining Unknown Data using Submodular Information Measures.

Suraj Kothawade, Shivang Chopra, Saikat Ghosh, Rishabh K. Iyer

CoRR, 2022

BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets.

Suraj Kothawade, Pavan Kumar Reddy, Ganesh Ramakrishnan, Rishabh K. Iyer

CoRR, 2022

DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures.

Suraj Kothawade, Akshit Shrivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification.

Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Object-Level Targeted Selection via Deep Template Matching.

Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information.

Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer

Proceedings of the International Conference on Machine Learning, 2022

Talisman: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information.

Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer

Proceedings of the Computer Vision - ECCV 2022, 2022

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection.

Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Submodular Mutual Information for Targeted Data Subset Selection.

Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer

CoRR, 2021

PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization.

Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer

CoRR, 2021

How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization.

Vishal Kaushal, Suraj Kothawade, Anshul Tomar, Rishabh K. Iyer, Ganesh Ramakrishnan

CoRR, 2021

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios.

Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robotic Lime Picking by Considering Leaves as Permeable Obstacles.

Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning.

Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta

Proceedings of the International Conference on Logic Programming 2021 Workshops co-located with the 37th International Conference on Logic Programming (ICLP 2021), 2021

2020

Deep Submodular Networks for Extractive Data Summarization.

Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh K. Iyer

CoRR, 2020

A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures.

Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Himanshu Asnani, Rishabh K. Iyer

CoRR, 2020

Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework.

Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan

Proceedings of the AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, 2020

2019

A Framework Towards Domain Specific Video Summarization.

Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision.

Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance.

Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning Collaborative Action Plans from YouTube Videos.

Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis

Proceedings of the Robotics Research, 2019

2018

Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas.

Suraj Kothawade, Kunjan Mhaske, Sahil Sharma, Furkhan Shaikh

CoRR, 2018

Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization.

Rishabh K. Iyer, Pratik Dubal, Kunal Dargan, Suraj Kothawade, Rohan Mahadev, Vishal Kaushal

CoRR, 2018

Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.

Pratik Dubal, Rohan Mahadev, Suraj Kothawade, Kunal Dargan, Rishabh K. Iyer

CoRR, 2018