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Yinghao Xu (Justin)
Postdoc Scholar
Department of Electrical Engineering
Stanford University
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Biography
I am a postdoctoral researcher at Stanford University working with Prof. Gordon Wetzstein. My current research focuses on 3D computer vision, graphics, and generative AI. I am particularly interested in developing powerful video and 3D generative models to perceive and generate rich 3D representations of environments and leverage them to understand, interact with, and reason about the 3D world.
I obtained my Ph.D. degree from CUHK Multimedia Lab (MMLab) supervised by Prof. Bolei Zhou and Prof. Dahua Lin, and a BSc from Zhejiang University, working with Prof. Lechao Cheng and Prof. Chunguang Li. In 2018, I also spent a summer interning at UC San Diego, working with Prof. Hao Su.
Invited Talks
- [11/2024]
Max Planck Institute for Informatics, Host by Prof.Christian Theobalt
- [11/2024]
MIT, Host by Prof.Vincent Sitzmann
- [10/2024]
Cornell Tech, Host by Prof.Noah Snavely
- [10/2024]
3D AICC Workshop at ECCV 2024, Host by Prof.Georgios Pavlakos
- [05/2024]
University of Pennsylvania, Host by Prof.Lingjie Liu
- [04/2024]
University of Tübingen, Host by Prof. Andreas Geiger
- [02/2024]
Nvida Research, Host by Dr. Zian Wang
- [01/2024]
Peking University, Host by Prof. Baoquan Chen
- [04/2024]
GAMES, Host by Prof. Sida Peng
- [04/2024]
China 3DV, Host by Prof. Baoquan Chen
- [12/2023]
Tsinghua University, Host by Prof. Yebin Liu
- [12/2023]
Tsinghua University, Host by Prof. Songhai Zhang
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NTU: 3D Generation from Unstructured Single-View Data.
2023
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Games Seminar: 3D Generation from Unstructured Single-View Data.
2023
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Adobe Research: 3D Generation from Unstructured Single-View Data.
2023
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Stanford Computational Imaging Lab: Towards Efficient and High-Quality 3D-Aware Image
Synthesis.
2022
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TechBeat: 3D-aware Image Synthesis via Learning Structural and Textural Representations.
2022
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AI TIME: Learning Deep Representations by Unifying Discriminative and Generative Models.
2021
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TechBeat: Generative Hierarchical Features from Synthesizing Images.
2021
News
- [09/2024]
One paper is accepted by CoRL 2024! It's my first robotics paper, Cheers!
- [09/2024]
Two papers are accepted by NeurIPS 2024.
- [08/2024]
TGH is accepted by SIGGRAPH ASIA Journal.
- [05/2024]
Two papers are accepted by ECCV 2024.
- [01/2024]
Three papers are accepted by ICLR 2024! DMV3D and PF-LRM are awared as spotlight presentation!
- [12/2023]
Two papers got accepted by NeurIPS 2023 and one paper is accpeted by 3DV
2024 as spotlight presentation.
- [07/2023]
The extension of IDinvert and NeuralBody are accepted by TPAMI!
- [06/2023]
Genda is finally accepted by ICCV 2023.
- [06/2023]
Starting my summer internship at Adobe. See you in San Jose!
- [06/2023]
Defended Ph.D. thesis successfully!
- [03/2023]
DiscoScene gets three strong accept and is selected as the Highlight paper!
- [02/2023]
Three papers are accepted by CVPR 2023!
- [01/2023]
Two papers with one oral (3DGP), are accepted by ICLR 2023!
- [11/2022]
The extension of GHFeat got accepted by TPAMI.
- [10/2022]
We post the
survey on 3D generative models.
- [09/2022]
Two papers, with one spotlight, will appear at NeurIPS 2022.
- [07/2022]
Give a talk about 3D generative models at Stanford Computational Imaging Lab.
- [07/2022]
SSP-NeRF (Oral) and PadInv are accepted by ECCV 2022.
- [05/2022]
ReSeFa is accepted by ICML 2022.
- [03/2022]
CMPL is accepted as an oral paper by CVPR 2022.
- [03/2022] We are collecting studies on 3D generation, based on which we hope to provide an overview of this field and a better understanding on its evolution. Please stay tuned!
- [03/2022]
Four papers are accepted by CVPR 2022.
- [02/2022] We release Hammer, a sufficiently upgraded version of GenForce, for training deep models. StyleGAN2, StyleGAN2-ADA, and StyleGAN3 are fully supported.
- [09/2021]
One paper to appear in NeurIPS 2021. It is my first NeurIPS paper.
- [03/2021]
One paper about object-level nerf is accepted by ICCV 2021.
- [03/2021]
Two papers (one oral and one best paper candidate) to appear in CVPR 2021.
- [09/2020]
We release GenForce, an efficient PyTorch library for deep generative modeling.
Experiences
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Research Intern, Adobe Research
Jun. 2023 - Sep. 2023
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Visiting Research Scholar, Stanford University
Jan. 2023 - Apr. 2023
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Research Intern, Snap Inc.
Jul. 2022 - Oct. 2022
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Research Intern, Ant Research
Jan. 2022 - May. 2022
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Research Intern, ByteDance Inc.
Jul. 2021 - Feb. 2021
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Student Researcher, MSRA
Mar. 2021 - Jun. 2021
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Research Intern, MSRA
Nov. 2018 - May. 2019
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Research Assitant, UCSD
Jul. 2018 - Oct. 2018
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Teaching
- IERG 4190 Multimedia Coding and Processing
2022
- CSCI 2100 Data Structures
2021
- IERG 1810 Electronic Circuit Design Laboratory
2021
- IERG 3080 Information and Software Engineering Practice
2020
- IERG 1810 Electronic Circuit Design Laboratory
2020
- IERG 3050 Simulation and Statistical Analysis
2019
Professional Activities
- Reviewer for CVPR, ECCV, AAAI, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH, TVCG, SIGGRAPH ASIA
- Invited Speaker for ECCV Workshop, MIT Vision Seminar
Selected Honors & Awards
- WAIC Rising Star
2024
- Snap Fellowship Nomination
2022
- National Scholarship
2018
- Tang Lixin Scholarship
2018
- First Class Scholarship for Academic Excellence
2018, 2017
- Government Scholarship of Zhejiang Province
2017, 2016
- Meritorious Winner, Interdisciplinary Contest In Modeling(ICM)
2018
- First Prize of Mathematics Competition of Chinese College Students
2017
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