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Found 12 papers, 6 papers with code
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing
In conclusion, this paper provides valuable insights into the potential applications and challenges of MLLMs in human-centric computing.
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
In comparison to recent advancements in the 2D domain, grounding language in 3D scenes faces several significant challenges: (i) the inherent complexity of 3D scenes due to the diverse object configurations, their rich attributes, and intricate relationships; (ii) the scarcity of paired 3D vision-language data to support grounded learning; and (iii) the absence of a unified learning framework to distill knowledge from grounded 3D data.
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Anatomically, there are innumerable correlations between AUs, which contain rich information and are vital for AU detection.
Ranked #2 on
Facial Action Unit Detection
on DISFA
Neuron Structure Modeling for Generalizable Remote Physiological Measurement
We show that most domain generalization methods do not work well in this problem, as domain labels are ambiguous in complicated environmental changes.
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling
Remote physiological measurements, e. g., remote photoplethysmography (rPPG) based heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are playing more and more important roles under the application scenarios where contact measurement is inconvenient or impossible.
Face Anti-Spoofing with Human Material Perception
In this paper we rephrase face anti-spoofing as a material recognition problem and combine it with classical human material perception [1], intending to extract discriminative and robust features for FAS.
AutoHR: A Strong End-to-end Baseline for Remote Heart Rate Measurement with Neural Searching
Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications (e. g., remote healthcare).
The 1st Challenge on Remote Physiological Signal Sensing (RePSS)
Remote measurement of physiological signals from videos is an emerging topic.
RhythmNet: End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation
Recently, some methods have been proposed for remote HR estimation from face videos; however, most of them focus on well-controlled scenarios, their generalization ability into less-constrained scenarios (e. g., with head movement, and bad illumination) are not known.
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
In this work, we propose a semi-supervised approach for AU recognition utilizing a large number of web face images without AU labels and a relatively small face dataset with AU annotations inspired by the co-training methods.
Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection
Encoding individual facial expressions via action units (AUs) coded by the Facial Action Coding System (FACS) has been found to be an effective approach in resolving the ambiguity issue among different expressions.
VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video
We also learn a deep HR estimator (named as RhythmNet) with the proposed spatial-temporal representation, which achieves promising results on both the public-domain and our VIPL-HR HR estimation databases.
