120 citations · 570 across the 46 of their papers we have counts for
6 papers · 1 filter
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Qing Li, Jiasong Zhu, Jun Liu +4
Estimating depth from RGB images can facilitate many computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recent…
Towards Disentangling Latent Space for Unsupervised Semantic Face Editing
Kanglin Liu, Gaofeng Cao, Fei Zhou +3
Facial attributes in StyleGAN generated images are entangled in the latent space which makes it very difficult to independently control a specific attribute without affecting the o…
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Jun Liu, Qing Li, Rui Cao +2
Predicting depth from a single image is an attractive research topic since it provides one more dimension of information to enable machines to better perceive the world. Recently,…
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
Kanglin Liu, Qing Li, Guoping Qiu
Camera localization is a fundamental requirement in robotics and computer vision. This paper introduces a pose-to-image translation framework to tackle the camera localization prob…
Class-Aware Domain Adaptation for Improving Adversarial Robustness
Xianxu Hou, Jingxin Liu, Bolei Xu +3
Recent works have demonstrated convolutional neural networks are vulnerable to adversarial examples, i.e., inputs to machine learning models that an attacker has intentionally desi…
Gaussian Curvature Filter on 3D Meshes
Wenming Tang, Yuanhao Gong, Kanglin Liu +4
Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature o…