activity
20172023
most citedPatch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

316 citations · 753 across the 32 of their papers we have counts for

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Showing cs.GRShow all

7 papers · 1 filter

cs.GR202334 cited

UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation

Guoqing Yang, Fuyou Xue, Qi Zhang +3

We present the UrbanBIS benchmark for large-scale 3D urban understanding, supporting practical urban-level semantic and building-level instance segmentation. UrbanBIS comprises six…

cs.GR20223 cited

Learning Reconstructability for Drone Aerial Path Planning

Yilin Liu, Liqiang Lin, Yue Hu +4

We introduce the first learning-based reconstructability predictor to improve view and path planning for large-scale 3D urban scene acquisition using unmanned drones. In contrast t…

cs.GR20215 cited

ActFloor-GAN: Activity-Guided Adversarial Networks for Human-Centric Floorplan Design

Shidong Wang, Wei Zeng, Xi Chen +3

We present a novel two-stage approach for automated floorplan design in residential buildings with a given exterior wall boundary. Our approach has the unique advantage of being hu…

cs.GR202040 cited

Computational LEGO Technic Design

Hao Xu, Ka-Hei Hui, Chi-Wing Fu +1

We introduce a method to automatically compute LEGO Technic models from user input sketches, optionally with motion annotations. The generated models resemble the input sketches wi…

cs.GR202073 cited

DNF-Net: a Deep Normal Filtering Network for Mesh Denoising

Xianzhi Li, Ruihui Li, Lei Zhu +2

This paper presents a deep normal filtering network, called DNF-Net, for mesh denoising. To better capture local geometry, our network processes the mesh in terms of local patches…

cs.GR2019

GrabAR: Occlusion-aware Grabbing Virtual Objects in AR

Xiao Tang, Xiaowei Hu, Chi-Wing Fu +1

Existing augmented reality (AR) applications often ignore occlusion between real hands and virtual objects when incorporating virtual objects in our views. The challenges come from…