15 citations · 17 across the 4 of their papers we have counts for
4 papers
iBARLE: imBalance-Aware Room Layout Estimation
Taotao Jing, Lichen Wang, Naji Khosravan +4
Room layout estimation predicts layouts from a single panorama. It requires datasets with large-scale and diverse room shapes to train the models. However, there are significant im…
LASER: LAtent SpacE Rendering for 2D Visual Localization
Zhixiang Min, Naji Khosravan, Zachary Bessinger +4
We present LASER, an image-based Monte Carlo Localization (MCL) framework for 2D floor maps. LASER introduces the concept of latent space rendering, where 2D pose hypotheses on the…
Identity Preserving Face Completion for Large Ocular Region Occlusion
Yajie Zhao, Weikai Chen, Jun Xing +5
We present a novel deep learning approach to synthesize complete face images in the presence of large ocular region occlusions. This is motivated by recent surge of VR/AR displays…
Predicting Ground-Level Scene Layout from Aerial Imagery
Menghua Zhai, Zachary Bessinger, Scott Workman +1
We introduce a novel strategy for learning to extract semantically meaningful features from aerial imagery. Instead of manually labeling the aerial imagery, we propose to predict (…