34 citations · 114 across the 7 of their papers we have counts for
6 papers · 1 filter
Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition
Yi Yu, Feipeng Da, Ziyu Zhang
3D face recognition has shown its potential in many application scenarios. Among numerous 3D face recognition methods, deep-learning-based methods have developed vigorously in rece…
Data-Free Point Cloud Network for 3D Face Recognition
Ziyu Zhang, Feipeng Da, Yi Yu
Point clouds-based Networks have achieved great attention in 3D object classification, segmentation and indoor scene semantic parsing. In terms of face recognition, 3D face recogni…
Generative Modeling using the Sliced Wasserstein Distance
Ishan Deshpande, Ziyu Zhang, Alexander Schwing
Generative Adversarial Nets (GANs) are very successful at modeling distributions from given samples, even in the high-dimensional case. However, their formulation is also known to…
Creativity: Generating Diverse Questions using Variational Autoencoders
Unnat Jain, Ziyu Zhang, Alexander Schwing
Generating diverse questions for given images is an important task for computational education, entertainment and AI assistants. Different from many conventional prediction techniq…
Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs
Ziyu Zhang, Sanja Fidler, Raquel Urtasun
Our aim is to provide a pixel-wise instance-level labeling of a monocular image in the context of autonomous driving. We build on recent work [Zhang et al., ICCV15] that trained a…
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Ziyu Zhang, Alexander G. Schwing, Sanja Fidler +1
In this paper we tackle the problem of instance-level segmentation and depth ordering from a single monocular image. Towards this goal, we take advantage of convolutional neural ne…