Search Results for author: Jialun Liu

Found 6 papers, 0 papers with code

TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization

no code implementations22 Mar 2024 Jinbo Wu, Xing Liu, Chenming Wu, Xiaobo Gao, Jialun Liu, Xinqi Liu, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang

We propose an optimal viewpoint selection strategy, that finds the most miniature set of viewpoints covering all the faces of a mesh.

Denoising Texture Synthesis

GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos

no code implementations26 Feb 2024 Xinqi Liu, Chenming Wu, Jialun Liu, Xing Liu, Jinbo Wu, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang

In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA).

Novel View Synthesis Pose Estimation

Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification

no code implementations CVPR 2022 Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li

These two unidirectional metrics (IR image to RGB proxy and RGB image to IR proxy) jointly alleviate the relay effect and benefit cross-modality association.

Cross-Modality Person Re-identification Person Re-Identification

Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory

no code implementations22 Aug 2020 Jialun Liu, Jingwei Zhang, Yi Yang, Wenhui Li, Chi Zhang, Yifan Sun

With slight modifications, MBJ is applicable for two fundamental visual recognition tasks, \emph{i. e.}, deep image classification and deep metric learning (on long-tailed data).

Data Augmentation General Classification +4

Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective

no code implementations CVPR 2020 Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li

If a sample belongs to a tail class, the corresponding feature cloud will have relatively large distribution range, in compensation to its lack of diversity.

Face Recognition Person Re-Identification +1

Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification

no code implementations28 Nov 2018 Jialun Liu

The proposed method has two excellent properties: 1) only a single model is employed to translate the labeled images from the source domain to the target camera domains in an unsupervised manner; 2) The identity information of images from the source domain is preserved before and after translation.

Domain Adaptation Generative Adversarial Network +2

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