103 citations · 341 across the 20 of their papers we have counts for
9 papers · 1 filter
Deep Micro-Dictionary Learning and Coding Network
Hao Tang, Heng Wei, Wei Xiao +4
In this paper, we propose a novel Deep Micro-Dictionary Learning and Coding Network (DDLCN). DDLCN has most of the standard deep learning layers (pooling, fully, connected, input/o…
GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Hao Tang, Wei Wang, Dan Xu +2
Hand gesture-to-gesture translation in the wild is a challenging task since hand gestures can have arbitrary poses, sizes, locations and self-occlusions. Therefore, this task requi…
Unsupervised Adversarial Depth Estimation using Cycled Generative Networks
Andrea Pilzer, Dan Xu, Mihai Marian Puscas +2
While recent deep monocular depth estimation approaches based on supervised regression have achieved remarkable performance, costly ground truth annotations are required during tra…
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu, Wanli Ouyang, Xiaogang Wang +1
Depth estimation and scene parsing are two particularly important tasks in visual scene understanding. In this paper we tackle the problem of simultaneous depth estimation and scen…
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation
Dan Xu, Wei Wang, Hao Tang +3
Recent works have shown the benefit of integrating Conditional Random Fields (CRFs) models into deep architectures for improving pixel-level prediction tasks. Following this line o…
Every Smile is Unique: Landmark-Guided Diverse Smile Generation
Wei Wang, Xavier Alameda-Pineda, Dan Xu +3
Each smile is unique: one person surely smiles in different ways (e.g., closing/opening the eyes or mouth). Given one input image of a neutral face, can we generate multiple smile…