ActAnywhere: Subject-Aware Video Background Generation
Boxiao Pan,
Zhan Xu,
Chun-Hao Paul Huang,
Krishna Kumar Singh,
Yang Zhou,
Leonidas J. Guibas,
Jimei Yang.
In submission
Project
Paper
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos
Boxiao Pan,
Bokui Shen*,
Davis Rempe*,
Despoina Paschalidou,
Kaichun Mo,
Yanchao Yang,
Leonidas J. Guibas.
International Conference on Computer Vision (ICCV), 2023.
Project
Paper
Code & Data
JacobiNeRF: NeRF Shaping with Mutual Information Gradients
Xiaomeng Xu,
Yanchao Yang,
Kaichun Mo,
Boxiao Pan,
Li Yi,
Leonidas J. Guibas.
Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Project
Paper
Code
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
Konstantinos Tertikas,
Despoina Paschalidou,
Boxiao Pan,
Jeong Joon Park,
Mikaela Angelina Uy,
Ioannis Emiris,
Yannis Avrithis,
Leonidas J. Guibas.
Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Project
Paper
EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks
Eric Ryan Chan*,
Connor Zhizhen Lin*,
Matthew Aaron Chan*,
Koki Nagano*,
Boxiao Pan,
Shalini De Mello,
Orazio Gallo,
Leonidas J. Guibas,
Jonathan Tremblay,
Sameh Khamis,
Tero Karras,
Gordon Wetzstein.
Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral Presentation)
Project
Paper
Spatio-Temporal Graph for Video Captioning with Knowledge Distillation
Boxiao Pan,
Haoye Cai,
De-An Huang,
Kuan-Hui Lee,
Adrien Gaidon,
Ehsan Adeli,
Juan Carlos Niebles.
Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Paper
Code
Video
Slides
Poster
Adversarial Cross-Domain Action Recognition with Co-Attention
Boxiao Pan*,
Zhangjie Cao*,
Ehsan Adeli,
Juan Carlos Niebles.
AAAI Conference on Artificial Intelligence (AAAI), 2020. (Oral Presentation)
Paper
Slides
Poster
AI4ALL: During Summer 2019, I was a research mentor for the Computer Vision team at Stanford AI4ALL, along with Andrew Kondrich. We spent three amazing weeks with eight talented high-school girls working together on a project, which applied Computer Vision techniques on Global Poverty Discovery. Aside from the project, we also designed course materials, assignments and gave lectures.
Graduate Teaching Assistant: At Stanford, I've served as a TA for CS231n: Convolutional Neural Networks for Visual Recognition (Spring 2020 & 2019) and CS131: Computer Vision: Foundations and Applications (Fall 2021 (head TA) & 2019).
Self-supervised Motion Retargeting with Single Frame
CS448v: Computational Video Manipulation
with Karttikeya Mangalam.
Report
Lollipop: Mobile App for South China University of Technology
with 100steps student association.
I'm from Yantai, a coastal city in east China.
I mostly enjoy music as my secondary life. Fun fact: I've been playing piano since 4 :P
I love traveling. I maintain a Places I've Visited map. Looking forward to exploring the rest of the world!