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20182026
most citedRetinaFace: Single-stage Dense Face Localisation in the Wild

423 citations · 476 across the 4 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition

Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen +10

The 10th Affective & Behavior Analysis in-the-Wild (ABAW) Workshop and Competition, held at CVPR 2026, continues to advance research on modelling, analysis, understanding of human…

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…

cs.CV2021

Analysing Affective Behavior in the second ABAW2 Competition

Dimitrios Kollias, Irene Kotsia, Elnar Hajiyev +1

The Affective Behavior Analysis in-the-wild (ABAW2) 2021 Competition is the second -- following the first very successful ABAW Competition held in conjunction with IEEE FG 2020- Co…

cs.CV2019423 cited

RetinaFace: Single-stage Dense Face Localisation in the Wild

Jiankang Deng, Jia Guo, Yuxiang Zhou +3

Though tremendous strides have been made in uncontrolled face detection, accurate and efficient face localisation in the wild remains an open challenge. This paper presents a robus…

cs.CV20196 cited

Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders

Yuxiang Zhou, Jiankang Deng, Irene Kotsia +1

3D Morphable Models (3DMMs) are statistical models that represent facial texture and shape variations using a set of linear bases and more particular Principal Component Analysis (…