Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
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…
cs.CV2026
Learning 3D Affordances for Blade Insertion in Cluttered Stowing
Tianyu Li, Harpreet Sawhney, Minju Jung +3
Many manipulation tasks require reasoning about free-space affordances: discovering volumes where an extended rigid tool can safely navigate, complementary to surface contact affor…
cs.CV2026
Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse Snapshots
Lijun Zhang, Nikhil Chacko, Petter Nilsson +8
Automated warehouses execute millions of stow operations, where robots place objects into storage bins. For these systems it is valuable to anticipate how a bin will look from the…