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Found 14 papers, 8 papers with code
Socially Pertinent Robots in Gerontological Healthcare
Despite the many recent achievements in developing and deploying social robotics, there are still many underexplored environments and applications for which systematic evaluation of such systems by end-users is necessary.
Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos
Compared to existing video modeling architectures for action anticipation, NAOGAT captures the relationship between objects and the global scene context in order to predict detections for the next active object and anticipate relevant future actions given these detections, leveraging the objects' dynamics to improve accuracy.
Object-aware Gaze Target Detection
Gaze target detection aims to predict the image location where the person is looking and the probability that a gaze is out of the scene.
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
This paper aims to address the unsupervised video anomaly detection (VAD) problem, which involves classifying each frame in a video as normal or abnormal, without any access to labels.
Guided Attention for Next Active Object @ EGO4D STA Challenge
In this technical report, we describe the Guided-Attention mechanism based solution for the short-term anticipation (STA) challenge for the EGO4D challenge.
Ranked #1 on
Short-term Object Interaction Anticipation
on Ego4D
Enhancing Next Active Object-based Egocentric Action Anticipation with Guided Attention
To this end, we propose a novel approach that applies a guided attention mechanism between the objects, and the spatiotemporal features extracted from video clips, enhancing the motion and contextual information, and further decoding the object-centric and motion-centric information to address the problem of STA in egocentric videos.
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
This paper investigates the performance of diffusion models for video anomaly detection (VAD) within the most challenging but also the most operational scenario in which the data annotations are not used.
Anticipating Next Active Objects for Egocentric Videos
This paper addresses the problem of anticipating the next-active-object location in the future, for a given egocentric video clip where the contact might happen, before any action takes place.
Multimodal Across Domains Gaze Target Detection
This paper addresses the gaze target detection problem in single images captured from the third-person perspective.
Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss
Our method, as being based on contrastive loss between pairwise modalities, is the first attempt in MER literature.
Cultural Vocal Bursts Intensity Prediction
Multimodal Emotion Recognition
Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey
Automated co-located human-human interaction analysis has been addressed by the use of nonverbal communication as measurable evidence of social and psychological phenomena.
Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance
This paper presents a novel end-to-end method for the problem of skeleton-based unsupervised human action recognition.
Estimating Presentation Competence using Multimodal Nonverbal Behavioral Cues
One approach that can promote efficient development of presentation competence is the automated analysis of human behavior during a speech based on visual and audio features and machine learning.
Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning
This paper tackles the problem of human action recognition, defined as classifying which action is displayed in a trimmed sequence, from skeletal data.
Ranked #1 on
Skeleton Based Action Recognition
on MSR ActionPairs
