Food instance segmentation is essential to estimate the serving size of
...
In this report, we present our champion solution for Ego4D Natural Langu...
Food image-to-recipe aims to learn an embedded space linking the rich
se...
Known-item video search is effective with human-in-the-loop to interacti...
This technical report describes the CONE approach for Ego4D Natural Lang...
Video temporal dynamics is conventionally modeled with 3D spatial-tempor...
Video temporal grounding (VTG) targets to localize temporal moments in a...
Multi-scale Vision Transformer (ViT) has emerged as a powerful backbone ...
Cross-modal representation learning has become a new normal for bridging...
Convolutional Neural Networks (CNNs) have been regarded as the go-to mod...
Cross-modal recipe retrieval has attracted research attention in recent
...
Video content is multifaceted, consisting of objects, scenes, interactio...
Video is complex due to large variations in motion and rich content in
f...
It is not trivial to optimally learn a 3D Convolutional Neural Networks ...
This paper tackles a recently proposed Video Corpus Moment Retrieval tas...
In this paper, we propose the pyramid fusion dark channel prior (PF-DCP)...
Understanding food recipe requires anticipating the implicit causal effe...
Semantic segmentation often requires a large set of images with pixel-le...
Unsupervised domain adaptation has received significant attention in rec...
In this paper, the decades-old clustering method k-means is revisited. T...
This notebook paper presents an overview and comparative analysis of our...
Convolutional Neural Networks (CNN) have been regarded as a powerful cla...
Rendering synthetic data (e.g., 3D CAD-rendered images) to generate
anno...
In this paper, we introduce a new idea for unsupervised domain adaptatio...
This short paper presents the video browsing tool of VIREO team which ha...
A problem not well understood in video hyperlinking is what qualifies a
...
Due to its simplicity and versatility, k-means remains popular since it ...