activity
20192026
most citedFoodSAM: Any Food Segmentation

43 citations · 88 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

AUHead: Realistic Emotional Talking Head Generation via Action Units Control

Jiayi Lyu, Leigang Qu, Wenjing Zhang +6

Realistic talking-head video generation is critical for virtual avatars, film production, and interactive systems. Current methods struggle with nuanced emotional expressions due t…

cs.CV2024

Towards Unified Facial Action Unit Recognition Framework by Large Language Models

Guohong Hu, Xing Lan, Hanyu Jiang +2

Facial Action Units (AUs) are of great significance in the realm of affective computing. In this paper, we propose AU-LLaVA, the first unified AU recognition framework based on the…

cs.CV2023★ 43 cited

FoodSAM: Any Food Segmentation

Xing Lan, Jiayi Lyu, Hanyu Jiang +4

In this paper, we explore the zero-shot capability of the Segment Anything Model (SAM) for food image segmentation. To address the lack of class-specific information in SAM-generat…

cs.CV2023★ 2 cited

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

Guoyang Xie, Jinbao Wang, Jiaqi Liu +5

Image anomaly detection (IAD) is an emerging and vital computer vision task in industrial manufacturing (IM). Recently, many advanced algorithms have been reported, but their perfo…

cs.CV2022★ 1 cited

FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis

Jinbao Wang, Guoyang Xie, Yawen Huang +4

Utilizing multi-modal neuroimaging data has been proved to be effective to investigate human cognitive activities and certain pathologies. However, it is not practical to obtain th…

cs.CV2021★ 9 cited

FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

Wei Gan, Jian Xue, Ke Lu +3

Nearly all existing Facial Action Coding System-based datasets that include facial action unit (AU) intensity information annotate the intensity values hierarchically using A--E le…