21 citations · 24 across the 8 of their papers we have counts for
9 papers
EgoHand: Monocular 3D Hand Reconstruction from Egocentric Video
Chao-Yeh Chen, Tiffany Chen, Lin Duan +12
We introduce EgoHand, a monocular 3D hand reconstruction model that achieves state-of-the-art performance on egocentric video. Central to our approach is the curation of a high-qua…
Cloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed Real-Time Inference
Pragya Sharma, Hang Qiu, Mani Srivastava
The increasing deployment of deep neural networks (DNNs) in cyber-physical systems (CPS) enhances perception fidelity, but imposes substantial computational demands on execution pl…
COOPERTRIM: Adaptive Data Selection for Uncertainty-Aware Cooperative Perception
Shilpa Mukhopadhyay, Amit Roy-Chowdhury, Hang Qiu
Cooperative perception enables autonomous agents to share encoded representations over wireless communication to enhance each other's live situational awareness. However, the tensi…
BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations
Weiduo Yuan, Jerry Li, Justin Yue +3
Accurate LiDAR-camera calibration is fundamental to fusing multi-modal perception in autonomous driving and robotic systems. Traditional calibration methods require extensive data…
CATS: A framework for Cooperative Autonomy Trust & Security
Namo Asavisanu, Tina Khezresmaeilzadeh, Rohan Sequeira +4
With cooperative perception, autonomous vehicles can wirelessly share sensor data and representations to overcome sensor occlusions, improving situational awareness. Securing such…
FluidML: Fast and Memory Efficient Inference Optimization
Jinjie Liu, Hang Qiu
Machine learning models deployed on edge devices have enabled numerous exciting new applications, such as humanoid robots, AR glasses, and autonomous vehicles. However, the computi…
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection
Pengxi Zeng, Alberto Presta, Jonah Reinis +3
Efficient point cloud (PC) compression is crucial for streaming applications, such as augmented reality and cooperative perception. Classic PC compression techniques encode all the…
Embodied Understanding of Driving Scenarios
Yunsong Zhou, Linyan Huang, Qingwen Bu +7
Embodied scene understanding serves as the cornerstone for autonomous agents to perceive, interpret, and respond to open driving scenarios. Such understanding is typically founded…
CMP: Cooperative Motion Prediction with Multi-Agent Communication
Zehao Wang, Yuping Wang, Zhuoyuan Wu +4
The confluence of the advancement of Autonomous Vehicles (AVs) and the maturity of Vehicle-to-Everything (V2X) communication has enabled the capability of cooperative connected and…