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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Mon, 06 Dec 2021 15:22:43 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"61ae2ac3-2862" expires: Mon, 29 Dec 2025 01:06:55 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: E7D4:1387E:810F99:911979:6951D1D7 accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 00:56:55 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210075-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1766969816.710441,VS0,VE212 vary: Accept-Encoding x-fastly-request-id: 89720811011a1bda2db4dd725b9cee8b31857c5b content-length: 3109 Yuchen Luo, SJTU

Yuchen Luo

Email: 592mcavoy@sjtu.edu.cn
Github: @592McAvoy

Biography

I am currenlty a postgraduate student at Shanghai Jiao Tong University (SJTU). I have joined SJTU-ThinkLab and supervised by Prof. Yan. I am currently working on Deepfakes Detection and Face Image Generation.

Education

Shanghai Jiao Tong University (SJTU) (Sep.2016 – Jun.2020)

Bachelor in Software Engineering(SE)

Shanghai Jiao Tong University (SJTU) (Sep.2020 – Present)

Master in Computer Science(CS)

Publication

CVPR2021 Generalizing Face Forgery Detection with High-frequency Features [paper]
Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu

Leverage both the color textures and the high-frequency noises to propose a new face forgery detector with better generalization ability.

Internship

Google, Shanghai, China (Jul.2019 – Sep.2019)
Software Engineering Intern, Amarna Team, Media Data Solutions Group

Extract structured features from crawled URLs.
Embrace AI technique to design a lightweight classifier to detect ephemeral URLs
Integrate learned model into existing service to reduce resource cost and redundant query burden.

Tencent AI Lab, Shenzhen, China (Oct.2019 – Jun.2020)
Research Intern, Computer Vision Center

GAN based human face synthesis and face swaping.
Improve the generalization ability of face forgery detection methods.

Tencent Youtu Lab, Shanghai, China (Jul.2021 – Dec.2021)
Research Intern

Utilize the StyleGAN2 model for high fidelity disentangled face image generation.
Disentangle the face identity and attributes for identity swapping and identity anonymization .

Project

Image-Based 3D Textured body Reasoning [github]
Advisor: Cewu Lu, Machine Vision and Intelligence Group, SJTU

Generate 3D human body with full texture and median-level details based on single photo input.
Conduct model rendering of RGB/Depth/Normal images.
Apply mean-value coordinate transformation in naked model to recover geometry details such as clothed wrinkles and hairs.

Model Retrieval Based On VR Stick Figures [github]

Developed a model retrieval system based on stick figure input from VR environment.
Use Fourier descriptors for model features extraction and matching.

Detailed Video Avatar [github]

Optimize 3D model details according to paper "Detailed human avatars from monocular video".
Taking advantage of OpenPose facial keypoints detection.
Use visual hull as guidance for geometry deformation.

Digit Classification and Model Analysis [github]

Investigate different techniques to solve the digit classification task.
Implemented four different classification models, including Logistic Regression, Kernel-based Logistic Regression, Convolutional Neural Network, and Gaussian Mixture Models.

Deep Learning and Feature Visualization [github]

Utilize Variational Auto-Encoder (VAE) for face image generation.
Investigate the effect to the generation ability of VAE w.r.t the learning rate, the weight of KL Divergence loss, the normalization function, and the latent dimension.

Search Engine for Wikipedia [github]

Build a search engine for Wikipedia with existing dumps.
Extract millions of pages and terms from the dumped data and constructed indexes.
Implement basic search and tolerant search (including spelling correction and wild-card search).
Utilize concurrent programming and champion list to speed up the search procedure。

Acknowledgement

css files come from shumochu. Thank you~

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