82 citations · 86 across the 10 of their papers we have counts for
6 papers · 1 filter
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin +40
This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction me…
Mind the Shape Gap: A Benchmark and Baseline for Deformation-Aware 6D Pose Estimation of Agricultural Produce
Nikolas Chatzis, Angeliki Tsinouka, Katerina Papadimitriou +7
Accurate 6D pose estimation for robotic harvesting is fundamentally hindered by the biological deformability and high intra-class shape variability of agricultural produce. Instanc…
Age-Inclusive 3D Human Mesh Recovery for Action-Preserving Data Anonymization
Georgios Chatzichristodoulou, Niki Efthymiou, Panagiotis Filntisis +2
While three-dimensional (3D) shape and pose estimation is a highly researched area that has yielded significant advances, the resulting methods, despite performing well for the adu…
Mushroom Segmentation and 3D Pose Estimation from Point Clouds using Fully Convolutional Geometric Features and Implicit Pose Encoding
George Retsinas, Niki Efthymiou, Petros Maragos
Modern agricultural applications rely more and more on deep learning solutions. However, training well-performing deep networks requires a large amount of annotated data that may n…
Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
Panagiotis Paraskevas Filntisis, Niki Efthymiou, Gerasimos Potamianos +1
We present our winning submission to the First International Workshop on Bodily Expressed Emotion Understanding (BEEU) challenge. Based on recent literature on the effect of contex…
Fusing Body Posture with Facial Expressions for Joint Recognition of Affect in Child-Robot Interaction
Panagiotis P. Filntisis, Niki Efthymiou, Petros Koutras +2
In this paper we address the problem of multi-cue affect recognition in challenging scenarios such as child-robot interaction. Towards this goal we propose a method for automatic r…