Onkar Dabeer

7 papers · 2022–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14)

Venues

CVPR (4) ECCV (3)

Top co-authors

Zhuowen Tu (3) Hao Yang (3) Avinash Ravichandran (3) Gurumurthy Swaminathan (2) Zhaowei Cai (2) Qin Zhang (2) Stefano Soatto (2) Yang Zou (2) Jongheon Jeong (2) Dongqing Zhang (2)

Research topics

Artificial Intelligence (3) Machine Learning (3) Computer Vision (2) Deep Learning (2) Application Areas (2) Core AI (2) Learning Paradigms (2) Learning Types · Deep Learning (2) Analysis (1) Core Methods (1) Learning Types · Machine Learning (1) Optimization & Theory (1) Processing (1)

Keywords

image segmentation (2) few-shot learning (1) model selection (1) transfer learning (1) anomaly detection (1) knowledge distillation (1) referring expression (1) pre-trained model (1) downstream task (1) vision-language model (1) recommendation system (1) anomaly segmentation (1) random forest (1) visual language model (1) power law (1) data requirement (1) anomaly classification (1) industrial quality inspection (1) zero-shot learning (1) pixel-level grounding (1)

Papers

Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels CVPR 2025 Open-World Dynamic Prompt and Continual Visual Representation Learning ECCV 2024 A Meta-Learning Approach to Predicting Performance and Data Requirements CVPR 2023 Guided Recommendation for Model Fine-Tuning CVPR 2023 WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR 2023 Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark ECCV 2022 SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation ECCV 2022