5 citations · 16 across the 18 of their papers we have counts for
6 papers · 1 filter
MEEV: Body Mesh Estimation On Egocentric Video
Nicolas Monet, Dongyoon Wee
This technical report introduces our solution, MEEV, proposed to the EgoBody Challenge at ECCV 2022. Captured from head-mounted devices, the dataset consists of human body shape an…
Exploring Temporally Dynamic Data Augmentation for Video Recognition
Taeoh Kim, Jinhyung Kim, Minho Shim +4
Data augmentation has recently emerged as an essential component of modern training recipes for visual recognition tasks. However, data augmentation for video recognition has been…
Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering
Geonho Cha, Chaehun Shin, Sungroh Yoon +1
To estimate the volume density and color of a 3D point in the multi-view image-based rendering, a common approach is to inspect the consensus existence among the given source image…
Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning
Geonho Cha, Ho-Deok Jang, Dongyoon Wee
Managing the dynamic regions in the photometric loss formulation has been a main issue for handling the self-supervised depth estimation problem. Most previous methods have allevia…
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker
Jeongseok Hyun, Myunggu Kang, Dongyoon Wee +1
In existing joint detection and tracking methods, pairwise relational features are used to match previous tracklets to current detections. However, the features may not be discrimi…
Frequency Selective Augmentation for Video Representation Learning
Jinhyung Kim, Taeoh Kim, Minho Shim +3
Recent self-supervised video representation learning methods focus on maximizing the similarity between multiple augmented views from the same video and largely rely on the quality…