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Philipp V. Rouast

6 papers hereh-index 8515 citations12 works total

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

author position
  • sole author2
  • first author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.HC1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedDeep Learning for Human Affect Recognition: Insights and New Developments

244 citations · 311 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

VitalLens 2.0: High-Fidelity rPPG for Heart Rate Variability Estimation from Face Video

Philipp V. Rouast

This report introduces VitalLens 2.0, a new deep learning model for estimating physiological signals from face video. This new model demonstrates a significant leap in accuracy for…

cs.CV2023

VitalLens: Take A Vital Selfie

Philipp V. Rouast

This report introduces VitalLens, an app that estimates vital signs such as heart rate and respiration rate from selfie video in real time. VitalLens uses a computer vision model t…

cs.CV2020

Single-stage intake gesture detection using CTC loss and extended prefix beam search

Philipp V. Rouast, Marc T. P. Adam

Accurate detection of individual intake gestures is a key step towards automatic dietary monitoring. Both inertial sensor data of wrist movements and video data depicting the upper…

cs.CV2019★ 38 cited

Learning deep representations for video-based intake gesture detection

Philipp V. Rouast, Marc T. P. Adam

Automatic detection of individual intake gestures during eating occasions has the potential to improve dietary monitoring and support dietary recommendations. Existing studies typi…

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