35 citations · 84 across the 10 of their papers we have counts for
11 papers
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…
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,…
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…
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator
Abhishek Tyagi, Reiley Jeyapaul, Chuteng Zhu +2
As Neural Processing Units (NPU) or accelerators are increasingly deployed in a variety of applications including safety critical applications such as autonomous vehicle, and medic…
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…
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration
Zhi-Gang Liu, Paul N. Whatmough, Yuhao Zhu +1
Exploiting sparsity is a key technique in accelerating quantized convolutional neural network (CNN) inference on mobile devices. Prior sparse CNN accelerators largely exploit un-st…
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…
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…
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…
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…
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…