Dabeer, Onkar

8 publications

CVPR 2025 Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels Yongshuo Zong, Qin Zhang, Dongsheng An, Zhihua Li, Xiang Xu, Linghan Xu, Zhuowen Tu, Yifan Xing, Onkar Dabeer

CVPRW 2025 Robust AD: A Real World Benchmark Dataset for Robustness in Industrial Anomaly Detection Latha Pemula, Dongqing Zhang, Onkar Dabeer

ECCV 2024 Open-World Dynamic Prompt and Continual Visual Representation Learning Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer

CVPR 2023 A Meta-Learning Approach to Predicting Performance and Data Requirements Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto

CVPR 2023 Guided Recommendation for Model Fine-Tuning Hao Li, Charless Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto

CVPR 2023 WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer

ECCV 2022 Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer

ECCV 2022 SPot-the-Difference Self-Supervised Pre-Training for Anomaly Detection and Segmentation Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer