◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yu Feng

12 papers hereh-index 10393 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author3
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AR3
  • cs.GR2
  • cs.DC1
  • cs.HC1
  • eess.IV1
same name
  • Yu Feng — 81 papers, h 32
  • Yu Feng — 35 papers, h 9
  • Yu Feng — 15 papers, h 23
  • Yu Feng — 14 papers, h 9
  • Yu Feng — 11 papers, h 8
  • Yu Feng — 8 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedASV: Accelerated Stereo Vision System

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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

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.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…

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.