3 citations · 6 across the 6 of their papers we have counts for
6 papers
Semi-Supervised Representative Region Texture Extraction of Façade
Zhen Ni, Guitao Cao, Ye Duan
Researches of analysis and parsing around façades to enrich the 3D feature of façade models by semantic information raised some attention in the community, whose main idea is to ge…
A Region-Based Deep Learning Approach to Automated Retail Checkout
Maged Shoman, Armstrong Aboah, Alex Morehead +3
Automating the product checkout process at conventional retail stores is a task poised to have large impacts on society generally speaking. Towards this end, reliable deep learning…
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion
Yuyan Li, Yuliang Guo, Zhixin Yan +3
A well-known challenge in applying deep-learning methods to omnidirectional images is spherical distortion. In dense regression tasks such as depth estimation, where structural det…
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation
Yuyan Li, Zhixin Yan, Ye Duan +1
Omnidirectional 3D information is essential for a wide range of applications such as Virtual Reality, Autonomous Driving, Robotics, etc. In this paper, we propose a novel, model-ag…
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation
Yuyan Li, Chuanmao Fan, Xu Wang +1
Feature encoding is essential for point cloud analysis. In this paper, we propose a novel point convolution operator named Shell Point Convolution (SPConv) for shape encoding and l…
RED-NET: A Recursive Encoder-Decoder Network for Edge Detection
Truc Le, Yuyan Li, Ye Duan
In this paper, we introduce RED-NET: A Recursive Encoder-Decoder Network with Skip-Connections for edge detection in natural images. The proposed network is a novel integration of…