Search Results for author: James Davis

Found 11 papers, 1 papers with code

Tag-based annotation creates better avatars

no code implementations14 Feb 2023 Minghao Liu, Zeyu Cheng, Shen Sang, Jing Liu, James Davis

Compared to direct annotation of labels, the proposed method: produces higher annotator agreements, causes machine learning to generates more consistent predictions, and only requires a marginal cost to add new rendering systems.


AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging

no code implementations15 Nov 2022 Shen Sang, Tiancheng Zhi, Guoxian Song, Minghao Liu, Chunpong Lai, Jing Liu, Xiang Wen, James Davis, Linjie Luo

We propose a novel self-supervised learning framework to create high-quality stylized 3D avatars with a mix of continuous and discrete parameters.

Self-Supervised Learning

How Much Does Input Data Type Impact Final Face Model Accuracy?

no code implementations CVPR 2022 Jiahao Luo, Fahim Hasan Khan, Issei Mori, Akila de Silva, Eric Sandoval Ruezga, Minghao Liu, Alex Pang, James Davis

This idealized synthetic analysis is then compared to real results from several methods for constructing 3D faces from 2D photographs.

Face Model

Automated Rip Current Detection with Region based Convolutional Neural Networks

no code implementations4 Feb 2021 Akila de Silva, Issei Mori, Gregory Dusek, James Davis, Alex Pang

This paper presents a machine learning approach for the automatic identification of rip currents with breaking waves.

DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training

no code implementations19 Jan 2021 Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu

In this paper, we introduce DuelGAN, a generative adversarial network (GAN) solution to improve the stability of the generated samples and to mitigate mode collapse.

Image Generation

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