3 papers
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
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…
cs.RO2025
Stow: Robotic Packing of Items into Fabric Pods
Nicolas Hudson, Josh Hooks, Rahul Warrier +34
This paper presents a compliant manipulation system capable of placing items onto densely packed shelves. The wide diversity of items and strict business requirements for high prod…