Xindi Wu

Xindi(Cindy) Wu

I am Xindi Wu, a second year CS PhD student in Princeton University, advised by Prof. Olga Russakovsky. Previously I was in Master of Science in Computer Vision at Carnegie Mellon University. I was very fortunate to be advised by Prof. Deva Ramanan and work with Prof. Min Xu and Prof. Haohan Wang and Prof. Kris Kitani.

I was admitted to the Honors Youth Program at Xi'an Jiaotong University, and during my undergrad study there, I was advised by Prof. Jinjun Wang(XJTU), Prof. Pengju Ren(XJTU), Banghuai Li (Megvii Research).

Email: xindiw [at] princeton [dot] edu or xindiw [at] andrew [dot] cmu [dot] edu

Email / Google Scholar / LinkedIn / GitHub / Twitter

News

05/2023: Started my internship at Meta Reality Lab in Redmond, WA on multimodal generative models.

02/2023: One paper accepted to CVPR 2023: Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images.

08/2022: Started my PhD journey at Princeton University!

Publications

Vision-Language Dataset Distillation.

Xindi Wu, Byron Zhang and Zhiwei Deng and Olga Russakovsky.

Website | Arxiv | Bibtex | Code.

Arxiv 2023

Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images.

Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljoša Ošep and Deva Ramanan.

CVPR 2023

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation.

Haohan Wang, Zeyi Huang, Xindi Wu and Eric P. Xing.

KDD 2022

Ego4D: Around the World in 3,000 Hours of Egocentric Video.

Kristen Grauman, et al .

CVPR 2022

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks.

Haohan Wang, Xindi Wu, Zeyi Huang, and Eric P. Xing.

CVPR 2020 (Oral) [code]

Transferable Adversarial Attacks on Deep Reinforcement Learning with Domain Randomization.

Xinlei Pan, Yulong Cao, Xindi Wu, Eric Zelikman, Yanan Sui, Rudrasis Chakraborty, and Ronald S. Fearing .

CVPR Workshop, 2020

Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification

Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing and Min Xu.

BIBM 2019 (Oral)

Deep Self-Paced Learning for Semi-Supervised Person Re-Identification Using Multi-View Self-Paced Clustering

Xiaomeng Xin, Xindi Wu, Yuechen Wang, and Jinjun Wang.

ICIP 2019

Multitask Learning With Enhanced Modules

Zishuo Zheng, Yadong Wei, Zixu Zhao, Xindi Wu, Zhengcheng Li, and Pengju Ren.

DSP 2018

Book Chapter

Template-Based and Template-Free Approaches in Cellular Cryo-Electron Tomography Structural Pattern Mining.

Xindi Wu, Xiangrui Zeng, Zhenxi Zhu, Xin Gao, and Min Xu

Computational Biology, Codon Publications, Brisbane, Australia, 2019

Course Projects

Marrying Motion Forecasting and Offline Model-Based Reinforcement Learning for Self-Driving Cars.

Swapnil Pande, Xindi Wu

Preprint

Education

Princeton University, USA Ph.D. in Computer Science • Aug. 2022 to Now Advisor: Prof. Olga Russakovsky
Carnegie Mellon University, USA M.S. in Computer Vision • Sept. 2020 to Dec. 2021 Advisor: Prof. Deva Ramanan
Xi'an Jiaotong University, China B.Sc. in Computer Science • Sep. 2016 to July 2020
National University of Singapore, Singapore Summer session • Human Computer Interaction •July 2017 to Aug. 2017

Experiences

Perception ML Team, Snap Inc. Machine Learning Engineer • Feb. 2022 to July 2022 Research Intern • May. 2021 to Aug. 2021 Mentor: Dr. Alireza Zareian and Dr. Chen Wang
CMU Argo AI Center for Autonomous Vehicle Research, ArgoAI Capstone Project • Feb. 2021 to Dec 2021 Advisors: Prof. Deva Ramanan and Dr. Aljoša Ošep
Megvii (Face ++) Research, Megvii Computer Vision Research Intern • June 2020 to Sept. 2020 Mentor: Banghuai Li
Computational Biology Department, Carnegie Mellon University, USA Research Intern • March 2019 to Feb. 2020 Advisor: Prof. Min Xu
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China Research Intern • Dec. 2017 to Feb. 2019 Advisors: Prof. Pengju Ren and Prof. Jinjun Wang

Website source from Yaohui Cai