◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Songyou Peng

22 papers hereh-index 186.6k citations30 works total

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

author position
  • first author6
  • middle author13
  • last author3

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • cs.RO1
same name
  • Songyou Peng — 13 papers, h 10
  • Songyou Peng — 8 papers, h 5
  • Songyou Peng — 8 papers, h 3
  • Songyou Peng — 1 paper, h 1

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
20172024
most citedMonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

166 citations · 335 across the 20 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 54 cited

PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship

Le Zhang, Songyou Peng, Stefan Winkler

Apparent personality and emotion analysis are both central to affective computing. Existing works solve them individually. In this paper we investigate if such high-level affect tr…

cs.CV2018★ 4 cited

Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

Songyou Peng, Peter Sturm

It is well known that the accuracy of a calibration depends strongly on the choice of camera poses from which images of a calibration object are acquired. We present a system -- Ca…

cs.CV2018

Photometric Depth Super-Resolution

Bjoern Haefner, Songyou Peng, Alok Verma +2

This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to t…

cs.CV2018★ 22 cited

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues

Songyou Peng, Le Zhang, Yutong Ban +2

In this paper, we comprehensively describe the methodology of our submissions to the One-Minute Gradual-Emotion Behavior Challenge 2018.

◍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.