activity
20172021
most citedEmbraceNet: A robust deep learning architecture for multimodal classification

148 citations · 215 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020

Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack

Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi +1

The video-based action recognition task has been extensively studied in recent years. In this paper, we study the structural vulnerability of deep learning-based action recognition…

cs.CV2020★ 20 cited

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte +68

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…

eess.IV2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang, Martin Danelljan, Yawei Li +75

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…

eess.IV2020★ 2 cited

SRZoo: An integrated repository for super-resolution using deep learning

Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee

Deep learning-based image processing algorithms, including image super-resolution methods, have been proposed with significant improvement in performance in recent years. However,…

eess.SP2020★ 17 cited

EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition

Jun-Ho Choi, Jong-Seok Lee

Human activity recognition using multiple sensors is a challenging but promising task in recent decades. In this paper, we propose a deep multimodal fusion model for activity recog…