325 citations · 2k across the 89 of their papers we have counts for
17 papers · 1 filter
Auto-Encoding Scene Graphs for Image Captioning
Xu Yang, Kaihua Tang, Hanwang Zhang +1
We propose Scene Graph Auto-Encoder (SGAE) that incorporates the language inductive bias into the encoder-decoder image captioning framework for more human-like captions. Intuitive…
Understanding and Comparing Scalable Gaussian Process Regression for Big Data
Haitao Liu, Jianfei Cai, Yew-Soon Ong +1
As a non-parametric Bayesian model which produces informative predictive distribution, Gaussian process (GP) has been widely used in various fields, like regression, classification…
M2E-Try On Net: Fashion from Model to Everyone
Zhonghua Wu, Guosheng Lin, Qingyi Tao +1
Most existing virtual try-on applications require clean clothes images. Instead, we present a novel virtual Try-On network, M2E-Try On Net, which transfers the clothes from a model…
Large-scale Heteroscedastic Regression via Gaussian Process
Haitao Liu, Yew-Soon Ong, Jianfei Cai
Heteroscedastic regression considering the varying noises among observations has many applications in the fields like machine learning and statistics. Here we focus on the heterosc…
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
Current methods for single-image depth estimation use training datasets with real image-depth pairs or stereo pairs, which are not easy to acquire. We propose a framework, trained…
3D Face From X: Learning Face Shape from Diverse Sources
Yudong Guo, Lin Cai, Juyong Zhang
We present a novel method to jointly learn a 3D face parametric model and 3D face reconstruction from diverse sources. Previous methods usually learn 3D face modeling from one kind…