CORTEXA
← Browse

Mudit Agrawal

2 papers indexed

arxivcs.CV2026-06-29

Simple Supervision Is Hard to Beat: A Bitter Lesson from Sparse Target Labels in Domain-Adaptive Object Detection

Lijun Zhang, Ruinian Xu, Mudit Agrawal

Source-free domain adaptive object detection adapts a source-trained detector to an unlabeled target domain, typically through teacher-student self-training with pseudo-labels. We revisit this setting when a small, uniformly sampled subset of target images is labeled. We introduc…

View free PDFSource page
arxivcs.CVcs.RO2026-06-25

Learning 3D Affordances for Blade Insertion in Cluttered Stowing

Tianyu Li, Harpreet Sawhney, Minju Jung, Aditya Mehrotra, Kunal Mehrotra, Mudit Agrawal

Many manipulation tasks require reasoning about free-space affordances: discovering volumes where an extended rigid tool can safely navigate, complementary to surface contact affordances for grasping. Robotic stowing is a canonical instance, where a blade must sweep items aside i…

View free PDFSource page