150 citations · 158 across the 17 of their papers we have counts for
12 papers
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…
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations
Yu Feng, Zihan Liu, Jingwen Leng +2
Neural Radiance Field (NeRF) is widely seen as an alternative to traditional physically-based rendering. However, NeRF has not yet seen its adoption in resource-limited mobile syst…
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…
Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality
Nisarg Ujjainkar, Ethan Shahan, Kenneth Chen +3
Virtual Reality (VR) has the potential of becoming the next ubiquitous computing platform. Continued progress in the burgeoning field of VR depends critically on an efficient compu…
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
Cong Guo, Jiaming Tang, Weiming Hu +6
Transformer-based large language models (LLMs) have achieved great success with the growing model size. LLMs' size grows by every two years, which outpaces the hardware…
ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators
Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu
Image processing algorithms are prime targets for hardware acceleration as they are commonly used in resource- and power-limited applications. Today's image processing accelerator…