activity
20192026
most citedASV: Accelerated Stereo Vision System

35 citations · 83 across the 11 of their papers we have counts for

collaborators

12 papers

cs.GR2026

MetaSapiens v2: Advancing Real-Time Foveated Neural Rendering via Foveation-Aware Pruning and Stereo Warping

Weikai Lin, Yu Feng

Point-Based Neural Rendering (PBNR) is emerging as a promising class of rendering techniques, which are permeating all aspects of society, driven by a growing demand for real-time,…

cs.CV2025

SnapPix: Efficient-Coding--Inspired In-Sensor Compression for Edge Vision

Weikai Lin, Tianrui Ma, Adith Boloor +4

Energy-efficient image acquisition on the edge is crucial for enabling remote sensing applications where the sensor node has weak compute capabilities and must transmit data to a r…

cs.GR2024★ 27 cited

MetaSapiens: Real-Time Neural Rendering with Efficiency-Aware Pruning and Accelerated Foveated Rendering

Weikai Lin, Yu Feng, Yuhao Zhu

Point-Based Neural Rendering (PBNR) is emerging as a promising class of rendering techniques, which are permeating all aspects of society, driven by a growing demand for real-time,…

cs.AR2024

BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling

Yu Feng, Tianrui Ma, Yuhao Zhu +1

Eye tracking is becoming an increasingly important task domain in emerging computing platforms such as Augmented/Virtual Reality (AR/VR). Today's eye tracking system suffers from l…

cs.AR2023

CamJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computing

Tianrui Ma, Yu Feng, Xuan Zhang +1

CMOS Image Sensors (CIS) are fundamental to emerging visual computing applications. While conventional CIS are purely imaging devices for capturing images, increasingly CIS integra…

cs.AR2022★ 1 cited

Crescent: Taming Memory Irregularities for Accelerating Deep Point Cloud Analytics

Yu Feng, Gunnar Hammonds, Yiming Gan +1

3D perception in point clouds is transforming the perception ability of future intelligent machines. Point cloud algorithms, however, are plagued by irregular memory accesses, lead…

cs.HC2022★ 2 cited

Real-Time Gaze Tracking with Event-Driven Eye Segmentation

Yu Feng, Nathan Goulding-Hotta, Asif Khan +2

Gaze tracking is increasingly becoming an essential component in Augmented and Virtual Reality. Modern gaze tracking al gorithms are heavyweight; they operate at most 5 Hz on mobil…

cs.CV2021

Fast and Accurate: Video Enhancement using Sparse Depth

Yu Feng, Patrick Hansen, Paul N. Whatmough +2

This paper presents a general framework to build fast and accurate algorithms for video enhancement tasks such as super-resolution, deblurring, and denoising. Essential to our fram…

eess.IV2020★ 4 cited

Real-Time Spatio-Temporal LiDAR Point Cloud Compression

Yu Feng, Shaoshan Liu, Yuhao Zhu

Compressing massive LiDAR point clouds in real-time is critical to autonomous machines such as drones and self-driving cars. While most of the recent prior work has focused on comp…

cs.CV2020★ 3 cited

Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation

Yu Feng, Boyuan Tian, Tiancheng Xu +2

Point cloud analytics is poised to become a key workload on battery-powered embedded and mobile platforms in a wide range of emerging application domains, such as autonomous drivin…

cs.CV2019★ 35 cited

ASV: Accelerated Stereo Vision System

Yu Feng, Paul Whatmough, Yuhao Zhu

Estimating depth from stereo vision cameras, i.e., "depth from stereo", is critical to emerging intelligent applications deployed in energy- and performance-constrained devices, su…

cs.DC2019★ 11 cited

PES: Proactive Event Scheduling for Responsive and Energy-Efficient Mobile Web Computing

Yu Feng, Yuhao Zhu

Web applications are gradually shifting toward resource-constrained mobile devices. As a result, the Web runtime system must simultaneously address two challenges: responsiveness a…