Ziyan Wang | DeepAI

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Featured Co-authors

Hao Wang
366 publications
Jun Wang
360 publications
Jie Zhou
349 publications
Yan Zhang
195 publications
Sven Behnke
150 publications
Cewu Lu
119 publications
Jiwen Lu
119 publications
Manmohan Chandraker
72 publications
Simon Lucey
71 publications
Rui Zhu
50 publications
Michael Zollhöfer
37 publications

∙ 08/26/2023

A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

In recent years, AI-generated music has made significant progress, with ...

0 Zeyu Xiong, et al. ∙

∙ 06/11/2023

Variational Imbalanced Regression

Existing regression models tend to fall short in both accuracy and uncer...

0 Ziyan Wang, et al. ∙

∙ 12/01/2022

NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation

The capture and animation of human hair are two of the major challenges ...

0 Ziyan Wang, et al. ∙

∙ 07/28/2022

Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images

We present Neural Strands, a novel learning framework for modeling accur...

0 Radu Alexandru Rosu, et al. ∙

∙ 06/27/2022

A Formal Specification of Operating System based on ARINC 653

In this paper, by using the formal language Circus, we give a formal spe...

0 Ziyan Wang, et al. ∙

∙ 02/14/2022

SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

Satisfying safety constraints almost surely (or with probability one) ca...

7 Aivar Sootla, et al. ∙

∙ 12/13/2021

HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture

Capturing and rendering life-like hair is particularly challenging due t...

0 Ziyan Wang, et al. ∙

∙ 12/17/2020

Learning Compositional Radiance Fields of Dynamic Human Heads

Photorealistic rendering of dynamic humans is an important ability for t...

0 Ziyan Wang, et al. ∙

∙ 12/14/2018

A Parametric Top-View Representation of Complex Road Scenes

In this paper, we address the problem of inferring the layout of complex...

0 Ziyan Wang, et al. ∙

∙ 11/03/2018

Geometry-Aware Recurrent Neural Networks for Active Visual Recognition

We present recurrent geometry-aware neural networks that integrate visua...

0 Ricson Cheng, et al. ∙

∙ 11/30/2017

Semantic Photometric Bundle Adjustment on Natural Sequences

The problem of obtaining dense reconstruction of an object in a natural ...

0 Rui Zhu, et al. ∙

∙ 11/04/2017

Object-Centric Photometric Bundle Adjustment with Deep Shape Prior

Reconstructing 3D shapes from a sequence of images has long been a probl...

0 Rui Zhu, et al. ∙

∙ 04/13/2017

Virtual to Real Reinforcement Learning for Autonomous Driving

Reinforcement learning is considered as a promising direction for drivin...

0 Xinlei Pan, et al. ∙

∙ 04/06/2016

Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition

In this paper, we propose a new correlated and individual multi-modal de...

0 Ziyan Wang, et al. ∙

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