activity
20162022
most citedMulti-Label Image Recognition with Graph Convolutional Networks

62 citations · 78 across the 10 of their papers we have counts for

collaborators

13 papers

cs.CV20221 cited

Deep Point Cloud Simplification for High-quality Surface Reconstruction

Yuanqi Li, Jianwei Guo, Xinran Yang +4

The growing size of point clouds enlarges consumptions of storage, transmission, and computation of 3D scenes. Raw data is redundant, noisy, and non-uniform. Therefore, simplifying…

cs.CV202210 cited

GLPanoDepth: Global-to-Local Panoramic Depth Estimation

Jiayang Bai, Shuichang Lai, Haoyu Qin +2

In this paper, we propose a learning-based method for predicting dense depth values of a scene from a monocular omnidirectional image. An omnidirectional image has a full field-of-…

cs.CV2021

A Transductive Maximum Margin Classifier for Few-Shot Learning

Fei Pan, Chunlei Xu, Jie Guo +1

Few-shot learning aims to train a classifier that can generalize well when just a small number of labeled examples per class are given. We introduce a transductive maximum margin c…

cs.GR2021

Rendering Discrete Participating Media with Geometrical Optics Approximation

Jie Guo, Bingyang Hu, Yanjun Chen +3

We consider the scattering of light in participating media composed of sparsely and randomly distributed discrete particles. The particle size is expected to range from the scale o…

cs.CV2021

A Unified Light Framework for Real-time Fault Detection of Freight Train Images

Yang Zhang, Moyun Liu, Yang Yang +2

Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements.…

cs.CV20202 cited

FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces

Jingwu He, Chuan Wang, Yang Zhang +2

Facial attractiveness enhancement has been an interesting application in Computer Vision and Graphics over these years. It aims to generate a more attractive face via manipulations…