4 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models
Paul Pacaud, Ricardo Garcia, Shizhe Chen +1
Robust robotic manipulation requires reliable failure detection and recovery. Although recent Vision-Language Models (VLMs) show promise in robot failure detection, their generaliz…
FOM-Nav: Frontier-Object Maps for Object Goal Navigation
Thomas Chabal, Shizhe Chen, Jean Ponce +1
This paper addresses the Object Goal Navigation problem, where a robot must efficiently find a target object in an unknown environment. Existing implicit memory-based methods strug…
Gondola: Grounded Vision Language Planning for Robotic Manipulation
Shizhe Chen, Ricardo Garcia, Paul Pacaud +1
Vision-language-action (VLA) models have shown promising progress in robotic manipulation. However, directly mapping visual observations and language instructions to low-level acti…
ComposeAnything: Composite Object Priors for Text-to-Image Generation
Zeeshan Khan, Shizhe Chen, Cordelia Schmid
Generating images from text involving complex and novel object arrangements remains a significant challenge for current text-to-image (T2I) models. Although prior layout-based meth…
HORT: Monocular Hand-held Objects Reconstruction with Transformers
Zerui Chen, Rolandos Alexandros Potamias, Shizhe Chen +1
Reconstructing hand-held objects in 3D from monocular images remains a significant challenge in computer vision. Most existing approaches rely on implicit 3D representations, which…