2.9k citations · 3.1k across the 32 of their papers we have counts for
5 papers · 1 filter
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing
Jeonghyun Kim, Kaichun Mo, Minhyuk Sung +1
We propose Seg&Struct, a supervised learning framework leveraging the interplay between part segmentation and structure inference and demonstrating their synergy in an integrated f…
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
Boxiao Pan, Bokui Shen, Davis Rempe +4
The ability to forecast human-environment collisions from egocentric observations is vital to enable collision avoidance in applications such as VR, AR, and wearable assistive robo…
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
Yan Zhao, Ruihai Wu, Zhehuan Chen +4
It is essential yet challenging for future home-assistant robots to understand and manipulate diverse 3D objects in daily human environments. Towards building scalable systems that…
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction
Yining Hong, Kaichun Mo, Li Yi +4
This paper studies the problem of fixing malfunctional 3D objects. While previous works focus on building passive perception models to learn the functionality from static 3D object…
GIMO: Gaze-Informed Human Motion Prediction in Context
Yang Zheng, Yanchao Yang, Kaichun Mo +5
Predicting human motion is critical for assistive robots and AR/VR applications, where the interaction with humans needs to be safe and comfortable. Meanwhile, an accurate predicti…