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Jianjin Xu
ORCID
Publication Activity (10 Years)
Years Active: 2013-2024
Publications (10 Years): 11
Top Topics
Unsupervised Learning
Visual Attention
Frame Difference
Diffusion Models
Top Venues
CoRR
IEEE Trans. Pattern Anal. Mach. Intell.
CVPR
WACV
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Publications
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Youngjoong Kwon
,
Baole Fang
,
Yixing Lu
,
Haoye Dong
,
Cheng Zhang
,
Francisco Vicente Carrasco
,
Albert Mosella-Montoro
,
Jianjin Xu
,
Shingo Takagi
,
Daeil Kim
,
Aayush Prakash
,
Fernando De la Torre
Generalizable Human Gaussians for Sparse View Synthesis.
CoRR
(2024)
Jianjin Xu
,
Saman Motamed
,
Praneetha Vaddamanu
,
Chen Henry Wu
,
Christian Häne
,
Jean-Charles Bazin
,
Fernando De la Torre
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention.
WACV
(2024)
Jianjin Xu
,
Zhaoxiang Zhang
,
Xiaolin Hu
Extracting Semantic Knowledge From GANs With Unsupervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
45 (8) (2023)
Saman Motamed
,
Jianjin Xu
,
Chen Henry Wu
,
Fernando De la Torre
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting.
CoRR
(2023)
Jianjin Xu
,
Saman Motamed
,
Praneetha Vaddamanu
,
Chen Henry Wu
,
Christian Häne
,
Jean-Charles Bazin
,
Fernando De la Torre
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention.
CoRR
(2023)
Saman Motamed
,
Jianjin Xu
,
Chen Henry Wu
,
Christian Häne
,
Jean-Charles Bazin
,
Fernando De la Torre
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting.
ICCV
(2023)
Han Liu
,
Bingning Wang
,
Ting Yao
,
Haijin Liang
,
Jianjin Xu
,
Xiaolin Hu
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models.
CoRR
(2022)
Jianjin Xu
,
Zhaoxiang Zhang
,
Xiaolin Hu
Extracting Semantic Knowledge from GANs with Unsupervised Learning.
CoRR
(2022)
Jianjin Xu
,
Zheyang Xiong
,
Xiaolin Hu
Frame Difference-Based Temporal Loss for Video Stylization.
CoRR
(2021)
Jianjin Xu
,
Changxi Zheng
Linear Semantics in Generative Adversarial Networks.
CVPR
(2021)
Jianjin Xu
,
Changxi Zheng
Linear Semantics in Generative Adversarial Networks.
CoRR
(2021)
John C. Williams
,
Jianjin Xu
,
Zhongju Lu
,
Aleksandra Klimas
,
Xuxin Chen
,
Christina M. Ambrosi
,
Ira S. Cohen
,
Emilia Entcheva
Computational Optogenetics: Empirically-Derived Voltage- and Light-Sensitive Channelrhodopsin-2 Model.
PLoS Comput. Biol.
9 (9) (2013)