Search Results for author:
Found 16 papers, 7 papers with code
Enhancing Video Transformers for Action Understanding with VLM-aided Training
The FTP framework adds four feature processors that focus on specific aspects of human action in videos: action category, action components, action description, and context information.
TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
A key challenge in continuous sign language recognition (CSLR) is to efficiently capture long-range spatial interactions over time from the video input.
Ranked #3 on
Sign Language Recognition
on CSL-Daily
Compensation Sampling for Improved Convergence in Diffusion Models
We argue that the denoising process is crucially limited by an accumulation of the reconstruction error due to an initial inaccurate reconstruction of the target data.
Ranked #16 on
Image Generation
on CIFAR-10
Elucidating the Exposure Bias in Diffusion Models
In this paper, we systematically investigate the exposure bias problem in diffusion models by first analytically modelling the sampling distribution, based on which we then attribute the prediction error at each sampling step as the root cause of the exposure bias issue.
Ranked #9 on
Image Generation
on CIFAR-10
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals.
Fully-attentive and interpretable: vision and video vision transformers for pain detection
Vision transformers are a top-performing architecture in computer vision, with little research on their use for pain detection.
Automatic Analysis of Human Body Representations in Western Art
The way the human body is depicted in classical and modern paintings is relevant for art historical analyses.
Video-based estimation of pain indicators in dogs
We propose an approach to deal with self-occlusions and missing keypoints.
State of the Art of Audio- and Video-Based Solutions for AAL
The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation.
Going Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States
Advances in animal motion tracking and pose recognition have been a game changer in the study of animal behavior.
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting
In this work, we investigate the application of Federated Learning to clinical Natural Language Processing, applied to the task of Violence Risk Assessment by simulating a cross-institutional psychiatric setting.
Speech Analysis for Automatic Mania Assessment in Bipolar Disorder
Bipolar disorder is a mental disorder that causes periods of manic and depressive episodes.
Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms
The cost-sensitive evaluation, on the other hand, investigates how well a fusion algorithm can perform given restricted computation and in the presence of software and hardware failures, resulting in errors such as failure-to-acquire and failure-to-match.
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition
Acoustic and linguistic analysis for elderly emotion recognition is an under-studied and challenging research direction, but essential for the creation of digital assistants for the elderly, as well as unobtrusive telemonitoring of elderly in their residences for mental healthcare purposes.
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
Explainability and interpretability are two critical aspects of decision support systems.
Adaptive Mixtures of Factor Analyzers
A mixture of factor analyzers is a semi-parametric density estimator that generalizes the well-known mixtures of Gaussians model by allowing each Gaussian in the mixture to be represented in a different lower-dimensional manifold.
