most citedVision Transformer for Action Units Detection

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM20231 cited

DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation

Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang +4

Conversational engagement estimation is posed as a regression problem, entailing the identification of the favorable attention and involvement of the participants in the conversati…

cs.CV20238 cited

Vision Transformer for Action Units Detection

Tu Vu, Van Thong Huynh, Soo Hyung Kim

Facial Action Units detection (FAUs) represents a fine-grained classification problem that involves identifying different units on the human face, as defined by the Facial Action C…

cs.CV20231 cited

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86

Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…

cs.CV2023

Generic Event Boundary Detection in Video with Pyramid Features

Van Thong Huynh, Hyung-Jeong Yang, Guee-Sang Lee +1

Generic event boundary detection (GEBD) aims to split video into chunks at a broad and diverse set of actions as humans naturally perceive event boundaries. In this study, we prese…

cs.CV20221 cited

An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task Learning

Irfan Haider, Minh-Trieu Tran, Soo-Hyung Kim +2

This paper illustrates our submission method to the fourth Affective Behavior Analysis in-the-Wild (ABAW) Competition. The method is used for the Multi-Task Learning Challenge. Ins…