202 citations · 202 across the 5 of their papers we have counts for
6 papers
Fiber Optic Sensing Glove for High Performance Dexterous Manipulation Capture
J. D. Peiffer, Taylor Niehues, Li Guan +2
Capturing hand pose during dexterous manipulation remains difficult: vision-based methods degrade under occlusion and challenging lighting, while sensorized gloves, though occlusio…
AVI-HT: Adaptive Vision-IMU Fusion for 3D Hand Tracking
Ziyi Kou, Ankit Kumar, Mia Huang +4
We present AVI-HT, an adaptive visual-IMU fusion approach for tracking 3D hand poses by jointly modeling the egocentric image with on-glove 6-DoF IMU signals. AVI-HT achieves signi…
Glove2Hand: Synthesizing Natural Hand-Object Interaction from Multi-Modal Sensing Gloves
Xinyu Zhang, Ziyi Kou, Chuan Qin +7
Understanding hand-object interaction (HOI) is fundamental to computer vision, robotics, and AR/VR. However, conventional hand videos often lack essential physical information such…
AirGlove: Exploring Egocentric 3D Hand Tracking and Appearance Generalization for Sensing Gloves
Wenhui Cui, Ziyi Kou, Chuan Qin +2
Sensing gloves have become important tools for teleoperation and robotic policy learning as they are able to provide rich signals like speed, acceleration and tactile feedback. A c…
Features for Multi-Target Multi-Camera Tracking and Re-Identification
Ergys Ristani, Carlo Tomasi
Multi-Target Multi-Camera Tracking (MTMCT) tracks many people through video taken from several cameras. Person Re-Identification (Re-ID) retrieves from a gallery images of people s…
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani, Francesco Solera, Roger S. Zou +2
To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pair of precision-recall measures of performance that treats errors of all types un…