Suraj Kothawade
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
10
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Target Attribute Diffusion Models. | William Loh, Yanting Miao, Pascal Poupart, Suraj Kothawade |
| 2024 | ICML | SCoRe: Submodular Combinatorial Representation Learning. | Anay Majee, Suraj Kothawade, Krishnateja Killamsetty, Rishabh K. Iyer |
| 2024 | WACV | 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 |
| 2023 | ACL | 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 |
| 2022 | AAAI | 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 |
| 2022 | ECCV | 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 |
| 2022 | ICML | PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information. | Changbin Li, Suraj Kothawade, Feng Chen, Rishabh K. Iyer |
| 2022 | MICCAI | CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification. | Suraj Kothawade, Atharv Savarkar, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2022 | MICCAI | DIAGNOSE: Avoiding Out-of-Distribution Data Using Submodular Information Measures. | Suraj Kothawade, Akshit Shrivastava, Venkat Iyer, Ganesh Ramakrishnan, Rishabh K. Iyer |
| 2021 | ICLP | AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning. | Suraj Kothawade, Vinaya Khandelwal, Kinjal Basu, Huaduo Wang, Gopal Gupta |
| 2021 | IROS | Robotic Lime Picking by Considering Leaves as Permeable Obstacles. | Heramb Nemlekar, Ziang Liu, Suraj Kothawade, Sherdil Niyaz, Barath Raghavan, Stefanos Nikolaidis |
| 2019 | ISRR | Learning Collaborative Action Plans from YouTube Videos. | Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis |
| 2019 | WACV | 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 |
| 2019 | WACV | 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 |
| 2019 | WACV | A Framework Towards Domain Specific Video Summarization. | Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh K. Iyer, Ganesh Ramakrishnan |