Suraj Kothawade

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 46

Top Topics

Active Learning

Mutual Information

Imbalanced Datasets

Video Summarization

Top Venues

Publications

Shivang Chopra, Suraj Kothawade, Houda Aynaou, Aman Chadha
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation. CoRR (2024)
Emaad Khwaja, Abdullah Rashwan, Ting Chen, Oliver Wang, Suraj Kothawade, Yeqing Li
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis. CoRR (2024)
Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. WACV (2024)
Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning. CoRR (2024)
Shivang Chopra, Suraj Kothawade, Houda Aynaou, Aman Chadha
Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptation. CoRR (2023)
Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. CoRR (2023)
Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. CoRR (2023)
Anay Majee, Suraj Kothawade, Krishnateja Killamsetty, Rishabh K. Iyer
SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings. CoRR (2023)
Suraj Kothawade, Anmol Reddy Mekala, D. Chandra Sekhara Hetha Havya, Mayank Kothyari, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation. ACL (1) (2023)
Nathan Beck, Suraj Kothawade, Pradeep Shenoy, Rishabh K. Iyer
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings. CoRR (2023)
Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. CoRR (2022)
Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. MILLanD@MICCAI (2022)
Suraj Kothawade, Shivang Chopra, Saikat Ghosh, Rishabh K. Iyer
Active Data Discovery: Mining Unknown Data using Submodular Information Measures. CoRR (2022)
Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer
Talisman: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information. ECCV (38) (2022)
Suraj Kothawade, Pavan Kumar Reddy, Ganesh Ramakrishnan, Rishabh K. Iyer
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets. CoRR (2022)
Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, Jose M. Alvarez, Christoph Angerer
Object-Level Targeted Selection via Deep Template Matching. IV (2022)
Suraj Kothawade, Akshit Shrivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. MILLanD@MICCAI (2022)
Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh K. Iyer
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. CoRR (2022)
Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, Jose M. Alvarez, Christoph Angerer
Object-Level Targeted Selection via Deep Template Matching. CoRR (2022)
Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. AAAI (2022)
Suraj Kothawade, Akshit Srivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures. CoRR (2022)
Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. ICML (2022)
Vishal Kaushal, Suraj Kothawade, Anshul Tomar, Rishabh K. Iyer, Ganesh Ramakrishnan
How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization. CoRR (2021)
Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. CoRR (2021)
Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis
Robotic Lime Picking by Considering Leaves as Permeable Obstacles. CoRR (2021)
Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning. ICLP Workshops (2021)
Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information. CoRR (2021)
Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis
Robotic Lime Picking by Considering Leaves as Permeable Obstacles. IROS (2021)
Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
Submodular Mutual Information for Targeted Data Subset Selection. CoRR (2021)
Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning. CoRR (2021)
Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. NeurIPS (2021)
Suraj Kothawade, Nathan Beck, KrishnaTeja Killamsetty, Rishabh K. Iyer
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. CoRR (2021)
Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. CoRR (2020)
Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Himanshu Asnani, Rishabh K. Iyer
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures. CoRR (2020)
Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. AI4TV@MM (2020)
Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh K. Iyer
Deep Submodular Networks for Extractive Data Summarization. CoRR (2020)
Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. CoRR (2019)
Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. CoRR (2019)
Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. WACV (2019)
Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis
Learning Collaborative Action Plans from YouTube Videos. ISRR (2019)
Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
A Framework Towards Domain Specific Video Summarization. WACV (2019)
Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. WACV (2019)
Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Sandeep Subramanian, Ganesh Ramakrishnan
A Framework towards Domain Specific Video Summarization. CoRR (2018)
Rishabh K. Iyer, Pratik Dubal, Kunal Dargan, Suraj Kothawade, Rohan Mahadev, Vishal Kaushal
Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization. CoRR (2018)
Suraj Kothawade, Kunjan Mhaske, Sahil Sharma, Furkhan Shaikh
Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas. CoRR (2018)
Pratik Dubal, Rohan Mahadev, Suraj Kothawade, Kunal Dargan, Rishabh K. Iyer
Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras. CoRR (2018)