3 papers
cs.CV2025
Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
Depanshu Sani, Mehar Khurana, Saket Anand
Animal Re-ID has recently gained substantial attention in the AI research community due to its high impact on biodiversity monitoring and unique research challenges arising from en…
cs.CV2025
Just Add Geometry: Gradient-Free Open-Vocabulary 3D Detection Without Human-in-the-Loop
Atharv Goel, Mehar Khurana
Modern 3D object detection datasets are constrained by narrow class taxonomies and costly manual annotations, limiting their ability to scale to open-world settings. In contrast, 2…
cs.CV2024
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
Mehar Khurana, Neehar Peri, James Hays +1
State-of-the-art 3D object detectors are often trained on massive labeled datasets. However, annotating 3D bounding boxes remains prohibitively expensive and time-consuming, partic…