29 citations · 40 across the 4 of their papers we have counts for
4 papers
Sparse auto-regressive modeling for scene generation from multi-view images
Thomas Lucas, Maxime Pietrantoni, Philippe Weinzaepfel +4
Generating complete 3D scenes from sparse, unconstrained views is a fundamental challenge in 3D vision which requires reasoning beyond observed content while remaining computationa…
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
Changgyoon Oh, Wonjune Cho, Daehee Park +3
Providing omnidirectional depth along with RGB information is important for numerous applications, eg, VR/AR. However, as omnidirectional RGB-D data is not always available, synthe…
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations
Lin Wang, Wonjune Cho, Kuk-Jin Yoon
Deep neural networks (DNNs) have achieved impressive performance on handling computer vision problems, however, it has been found that DNNs are vulnerable to adversarial examples.…
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images
Yeonkun Lee, Jaeseok Jeong, Jongseob Yun +2
Omni-directional cameras have many advantages overconventional cameras in that they have a much wider field-of-view (FOV). Accordingly, several approaches have beenproposed recentl…