2 citations · 6 across the 5 of their papers we have counts for
5 papers
FoundationStereo: Zero-Shot Stereo Matching
Bowen Wen, Matthew Trepte, Joseph Aribido +3
Tremendous progress has been made in deep stereo matching to excel on benchmark datasets through per-domain fine-tuning. However, achieving strong zero-shot generalization - a hall…
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation
Cheng-Chun Hsu, Bowen Wen, Jie Xu +5
We introduce SPOT, an object-centric imitation learning framework. The key idea is to capture each task by an object-centric representation, specifically the SE(3) object pose traj…
GRS: Generating Robotic Simulation Tasks from Real-World Images
Alex Zook, Fan-Yun Sun, Josef Spjut +3
We introduce GRS (Generating Robotic Simulation tasks), a system addressing real-to-sim for robotic simulations. GRS creates digital twin simulations from single RGB-D observations…
Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
Yijia Weng, Bowen Wen, Jonathan Tremblay +4
We address the problem of building digital twins of unknown articulated objects from two RGBD scans of the object at different articulation states. We decompose the problem into tw…
Audio-Visual Segmentation
Jinxing Zhou, Jianyuan Wang, Jiayi Zhang +7
We propose to explore a new problem called audio-visual segmentation (AVS), in which the goal is to output a pixel-level map of the object(s) that produce sound at the time of the…