most citedThe 6th Affective Behavior Analysis in-the-wild (ABAW) Competition

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2024

Generalized Bayesian nonparametric clustering framework for high-dimensional spatial omics data

Bencong Zhu, Guanyu Hu, Xiaodan Fan +1

The advent of next-generation sequencing-based spatially resolved transcriptomics (SRT) techniques has transformed genomic research by enabling high-throughput gene expression prof…

cs.CV2024

Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency

Guanyu Hu, Dimitrios Kollias, Eleni Papadopoulou +3

Evaluating affect analysis methods presents challenges due to inconsistencies in database partitioning and evaluation protocols, leading to unfair and biased results. Previous stud…

cs.CV2024

Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation

Guanyu Hu, Jie Wei, Siyang Song +4

The objective of the Multiple Appropriate Facial Reaction Generation (MAFRG) task is to produce contextually appropriate and diverse listener facial behavioural responses based on…

cs.CV2024

7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition

Dimitrios Kollias, Stefanos Zafeiriou, Irene Kotsia +4

This paper describes the 7th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with ECCV 2024. The 7th ABAW C…

cs.CV20241 cited

The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition

Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen +6

This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th A…

stat.ME2023

Functional Causal Inference with Time-to-Event Data

Xiyuan Gao, Jiayi Wang, Guanyu Hu +1

Functional data is a powerful tool for capturing and analyzing complex patterns and relationships in a variety of fields, allowing for more precise modeling, visualization, and dec…