Kothawade, Suraj

9 publications

WACV 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 Iyer

NeurIPS 2024 Subject-Driven Text-to-Image Generation via Preference-Based Reinforcement Learning Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li

ICML 2022 PLATINUM: Semi-Supervised Model Agnostic Meta-Learning Using Submodular Mutual Information Changbin Li, Suraj Kothawade, Feng Chen, Rishabh Iyer

AAAI 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

ECCV 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 Iyer

NeurIPS 2021 SIMILAR: Submodular Information Measures Based Active Learning in Realistic Scenarios Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh Iyer

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

WACV 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