Dabeer, Onkar

1. SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
   2022/07/28 by Zou, Yang, Jongheon Jeong, Jeong, Jongheon +6 · 89 citations
   Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning
2. WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
   2023/03/26 by Jongheon Jeong, Yang Zou, Jeong, Jongheon +9 · 81 citations
   Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Digital Media Forensic Detection
3. Transceiver Design with Low-Precision Analog-to-Digital Conversion : An Information-Theoretic Perspective
   2008/04/08 by Jaspreet Singh, Singh, Jaspreet, Onkar Dabeer +3 · 1 citation
   Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Techniques #Analog and Mixed-Signal Circuit Design #FOS: Computer and information sciences #Information Theory (cs.IT) #Low-power high-performance VLSI design #cs.IT #math.IT
4. Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
   2022/07/22 by Kibok Lee, Lee, Kibok, Satyaki Chakraborty +10 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
5. Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels
   2025/05/20 by Yongshuo Zong, Qin Zhang, Zong, Yongshuo +15 · 3 citations
   Engineering · #Advanced Fiber Optic Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Photonic and Optical Devices #Semiconductor Lasers and Optical Devices
6. Open-World Dynamic Prompt and Continual Visual Representation Learning
   2024/09/09 by Youngeun Kim, Kim, Youngeun, Jun Fang +17 · 1 citation
   Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications