Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras. - Pratik Dubal; Rohan Mahadev; Suraj Kothawade; Kunal Dargan; Rishabh K. Iyer (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)

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)

Learning Collaborative Action Plans from YouTube Videos. - Hejia Zhang; Po-Jen Lai; Sayan Paul; Suraj Kothawade; Stefanos Nikolaidis (ISRR, 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 (WACV, 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 (WACV, 2019)

A Framework Towards Domain Specific Video Summarization. - Vishal Kaushal; Sandeep Subramanian; Suraj Kothawade; Rishabh K. Iyer; Ganesh Ramakrishnan (WACV, 2019)

Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework. - Vishal Kaushal; Suraj Kothawade; Rishabh K. Iyer; Ganesh Ramakrishnan (AI4TV@MM, 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)

Deep Submodular Networks for Extractive Data Summarization. - Suraj Kothawade; Jiten Girdhar; Chandrashekhar Lavania; Rishabh K. Iyer (CoRR, 2020)

AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning. - Suraj Kothawade; Vinaya Khandelwal; Kinjal Basu 002; Huaduo Wang; Gopal Gupta 001 (ICLP Workshops, 2021)

Robotic Lime Picking by Considering Leaves as Permeable Obstacles. - Heramb Nemlekar; Ziang Liu 002; Suraj Kothawade; Sherdil Niyaz; Barath Raghavan; Stefanos Nikolaidis (IROS, 2021)

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios. - Suraj Kothawade; Nathan Beck; KrishnaTeja Killamsetty; Rishabh K. Iyer (NeurIPS, 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)

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)

Submodular Mutual Information for Targeted Data Subset Selection. - Suraj Kothawade; Vishal Kaushal; Ganesh Ramakrishnan; Jeff A. Bilmes; Rishabh K. Iyer (CoRR, 2021)

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 (AAAI, 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 (ECCV (38), 2022)

PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. - Changbin Li; Suraj Kothawade; Feng Chen 001; Rishabh K. Iyer (ICML, 2022)

Object-Level Targeted Selection via Deep Template Matching. - Suraj Kothawade; Donna Roy; Michele Fenzi; Elmar Haussmann; José M. Álvarez 004; Christoph Angerer (IV, 2022)

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. - Suraj Kothawade; Atharv Savarkar; Venkat Iyer; Ganesh Ramakrishnan; Rishabh K. Iyer (MILLanD@MICCAI, 2022)

DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. - Suraj Kothawade; Akshit Shrivastava; Venkat Iyer; Ganesh Ramakrishnan; Rishabh K. Iyer (MILLanD@MICCAI, 2022)

BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets. - Suraj Kothawade; Pavan Kumar Reddy; 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)

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. - Suraj Kothawade; Atharv Savarkar; Venkat Iyer; Lakshman Tamil; Ganesh Ramakrishnan; Rishabh K. Iyer (CoRR, 2022)

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 (ACL (1), 2023)

STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings. - Nathan Beck; Suraj Kothawade; Pradeep Shenoy; 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)

SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings. - Anay Majee; Suraj Kothawade; Krishnateja Killamsetty; Rishabh K. Iyer (CoRR, 2023)

SCoRe: Submodular Combinatorial Representation Learning. - Anay Majee; Suraj Kothawade; Krishnateja Killamsetty; Rishabh K. Iyer (ICML, 2024)

Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning. - Yanting Miao; William Loh; Suraj Kothawade; Pascal Poupart; Abdullah Rashwan; Yeqing Li (NeurIPS, 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 (WACV, 2024)

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation. - Shivang Chopra; Suraj Kothawade; Houda Aynaou; Aman Chadha (CoRR, 2024)

Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis. - Emaad Khwaja; Abdullah Rashwan; Ting Chen; Oliver Wang; Suraj Kothawade; Yeqing Li (CoRR, 2024)

A Minimalist Method for Fine-tuning Text-to-Image Diffusion Models. - Yanting Miao; William Loh; Pascal Poupart; Suraj Kothawade (CoRR, 2025)