Suraj Kothawade

52 papers A* 5A 5C 2Journal 33Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Minimalist Method for Fine-tuning Text-to-Image Diffusion Models. CoRR Yanting Miao, William Loh, Pascal Poupart, Suraj Kothawade
2025	J	`jnl`	Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage. CoRR Peiyu Yu, Suraj Kothawade, Sirui Xie, Ying Nian Wu, Hongliang Fei
2025	J	`jnl`	FG-Attn: Leveraging Fine-Grained Sparsity In Diffusion Transformers. CoRR Sankeerth Durvasula, Kavya Sreedhar, Zain Moustafa, Suraj Kothawade, Ashish Gondimalla, Suvinay Subramanian, Narges Shahidi, Nandita Vijaykumar
2025	J	`jnl`	Image-POSER: Reflective RL for Multi-Expert Image Generation and Editing. CoRR Hossein Mohebbi, Mohammed Abdulrahman, Yanting Miao, Pascal Poupart, Suraj Kothawade
2025	—	`conf`	Target Attribute Diffusion Models. ICCVW William Loh, Yanting Miao, Pascal Poupart, Suraj Kothawade
2024	A	`conf`	Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. WACV Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer
2024	J	`jnl`	Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis. CoRR Emaad Khwaja, Abdullah Rashwan, Ting Chen, Oliver Wang, Suraj Kothawade, Yeqing Li
2024	A*	`conf`	SCoRe: Submodular Combinatorial Representation Learning. ICML Anay Majee, Suraj Kothawade, Krishnateja Killamsetty, Rishabh K. Iyer
2024	J	`jnl`	Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation. CoRR Shivang Chopra, Suraj Kothawade, Houda Aynaou, Aman Chadha
2024	A*	`conf`	Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning. NeurIPS Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li
2024	J	`jnl`	Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning. CoRR Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li
2023	J	`jnl`	Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. CoRR Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer
2023	—	`conf`	DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation. ACL (1) Suraj Kothawade, Anmol Reddy Mekala, D. Chandra Sekhara Hetha Havya, Mayank Kothyari, Rishabh K. Iyer, Ganesh Ramakrishnan, Preethi Jyothi
2023	J	`jnl`	SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings. CoRR Anay Majee, Suraj Kothawade, Krishnateja Killamsetty, Rishabh K. Iyer
2023	J	`jnl`	STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings. CoRR Nathan Beck, Suraj Kothawade, Pradeep Shenoy, Rishabh K. Iyer
2023	J	`jnl`	Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. CoRR Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin
2022	J	`jnl`	Active Data Discovery: Mining Unknown Data using Submodular Information Measures. CoRR Suraj Kothawade, Shivang Chopra, Saikat Ghosh, Rishabh K. Iyer
2022	J	`jnl`	BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets. CoRR Suraj Kothawade, Pavan Kumar Reddy, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	—	`conf`	CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. MILLanD@MICCAI Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	J	`jnl`	CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. CoRR Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Lakshman Tamil, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	—	`conf`	DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. MILLanD@MICCAI Suraj Kothawade, Akshit Shrivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	J	`jnl`	DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures. CoRR Suraj Kothawade, Akshit Srivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer
2022	C	`conf`	Object-Level Targeted Selection via Deep Template Matching. IV Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer
2022	J	`jnl`	Object-Level Targeted Selection via Deep Template Matching. CoRR Suraj Kothawade, Donna Roy, Michele Fenzi, Elmar Haussmann, José M. Álvarez, Christoph Angerer
2022	A*	`conf`	PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. ICML Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
2022	J	`jnl`	PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. CoRR Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer
2022	A*	`conf`	PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. AAAI Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2022	—	`conf`	Talisman: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information. ECCV (38) Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer
2021	—	`conf`	AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning. ICLP Workshops Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta
2021	J	`jnl`	AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning. CoRR Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta
2021	J	`jnl`	How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization. CoRR Vishal Kaushal, Suraj Kothawade, Anshul Tomar, Rishabh K. Iyer, Ganesh Ramakrishnan
2021	J	`jnl`	PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. CoRR Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2021	A	`conf`	Robotic Lime Picking by Considering Leaves as Permeable Obstacles. IROS Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis
2021	J	`jnl`	Robotic Lime Picking by Considering Leaves as Permeable Obstacles. CoRR Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis
2021	A*	`conf`	SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. NeurIPS Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh K. Iyer
2021	J	`jnl`	SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. CoRR Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh K. Iyer
2021	J	`jnl`	Submodular Mutual Information for Targeted Data Subset Selection. CoRR Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2021	J	`jnl`	TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information. CoRR Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer
2020	J	`jnl`	A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures. CoRR Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Himanshu Asnani, Rishabh K. Iyer
2020	J	`jnl`	Deep Submodular Networks for Extractive Data Summarization. CoRR Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh K. Iyer
2020	—	`conf`	Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. AI4TV@MM Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
2020	J	`jnl`	Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. CoRR Vishal Kaushal, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
2019	A	`conf`	A Framework Towards Domain Specific Video Summarization. WACV Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan
2019	A	`conf`	Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. WACV Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan
2019	J	`jnl`	Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. CoRR Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan
2019	C	`conf`	Learning Collaborative Action Plans from YouTube Videos. ISRR Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis
2019	A	`conf`	Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. WACV Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan
2019	J	`jnl`	Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. CoRR Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan
2018	J	`jnl`	A Framework towards Domain Specific Video Summarization. CoRR Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Sandeep Subramanian, Ganesh Ramakrishnan
2018	J	`jnl`	Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas. CoRR Suraj Kothawade, Kunjan Mhaske, Sahil Sharma, Furkhan Shaikh
2018	J	`jnl`	Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras. CoRR Pratik Dubal, Rohan Mahadev, Suraj Kothawade, Kunal Dargan, Rishabh K. Iyer
2018	J	`jnl`	Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization. CoRR Rishabh K. Iyer, Pratik Dubal, Kunal Dargan, Suraj Kothawade, Rohan Mahadev, Vishal Kaushal