227 citations · 336 across the 8 of their papers we have counts for
8 papers
YOLOrtho -- A Unified Framework for Teeth Enumeration and Dental Disease Detection
Shenxiao Mei, Chenglong Ma, Feihong Shen +1
Detecting dental diseases through panoramic X-rays images is a standard procedure for dentists. Normally, a dentist need to identify diseases and find the infected teeth. While num…
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Huikai Wu, Junge Zhang, Kaiqi Huang
Point cloud super-resolution is a fundamental problem for 3D reconstruction and 3D data understanding. It takes a low-resolution (LR) point cloud as input and generates a high-reso…
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
Huikai Wu, Junge Zhang, Kaiqi Huang
In this paper, we aim at automatically searching an efficient network architecture for dense image prediction. Particularly, we follow the encoder-decoder style and focus on design…
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
Huikai Wu, Junge Zhang, Kaiqi Huang +2
Modern approaches for semantic segmentation usually employ dilated convolutions in the backbone to extract high-resolution feature maps, which brings heavy computation complexity a…
Fast End-to-End Trainable Guided Filter
Huikai Wu, Shuai Zheng, Junge Zhang +1
Dense pixel-wise image prediction has been advanced by harnessing the capabilities of Fully Convolutional Networks (FCNs). One central issue of FCNs is the limited capacity to hand…
MSC: A Dataset for Macro-Management in StarCraft II
Huikai Wu, Yanqi Zong, Junge Zhang +1
Macro-management is an important problem in StarCraft, which has been studied for a long time. Various datasets together with assorted methods have been proposed in the last few ye…
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
Debang Li, Huikai Wu, Junge Zhang +1
Image cropping aims at improving the aesthetic quality of images by adjusting their composition. Most weakly supervised cropping methods (without bounding box supervision) rely on…
GP-GAN: Towards Realistic High-Resolution Image Blending
Huikai Wu, Shuai Zheng, Junge Zhang +1
It is common but challenging to address high-resolution image blending in the automatic photo editing application. In this paper, we would like to focus on solving the problem of h…