Zhihang Ren

peter [dot] zhren [at] berkeley [dot] edu

I am a Researcher at the Whitney Laboratory. I completed my Ph.D. at Vision Science and Berkeley AI Research (BAIR), UC Berkeley, co-advised by Prof. Stella Yu and Prof. David Whitney. Before joining UC Berkeley, I received my Master's Degree in Electrical and Computer Engineering at University of California, San Diego, co-advised by Prof. Nuno Vasconcelos and Prof. Bhaskar D. Rao. I received my Bachelor's Degree at University of Electronic Science and Technology of China (UESTC) and Bachelor's Degree with Honours at University of Glasgow, advised by Prof. Shuaicheng Liu. My research interests include: image and video processing, computer vision, and applications on medical imaging. I am also highly interested in human vision system.

News

  • [May. 2024] Two papers are accepted by CVPR 2024 Workshop!

  • [May. 2024] One paper is early accepted (top 11%) by MICCAI 2024!

  • [Feb. 2024] Two abstracts are accepted by VSS 2024!

  • [Oct. 2023] One paper is accepted by IEEE/CVF WACV 2024!

  • [June. 2023] One journal paper is published on Journal of Medical Imaging!

  • [May. 2023] One journal paper is published on Diagnostics!

  • [Feb. 2023] Two abstracts are accepted by VSS 2023! One abstract is selected as Oral presentation.

Publications

SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)

Zhihang Ren, Yunqi Li*, Xinyu Li*, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborty, Yunhui Guo, Stella X. Yu, David Whitney
*Equal Contribution
the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

[ Project Page ] [ Paper ] [ Poster ] [ BibTex ]

Region-Based Emotion Recognition via Superpixel Feature Pooling

Zhihang Ren, Yifan Wang, Tsung-Wei Ke, Yunhui Guo, Stella X. Yu, David Whitney
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) Workshop, 2024

[ Paper ] [ Poster ] [ BibTex ]

BEAT: Berkeley Emotion and Affect Tracking Dataset

Zhihang Ren, Jefferson Ortega, Yunhui Guo, Stella X. Yu, David Whitney
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) Workshop, 2024

[ Project Page ] [ Paper ] [ Poster ] [ BibTex ]

VEATIC: Video-based Emotion and Affect Tracking in Context Dataset

Zhihang Ren*, Jefferson Ortega*, Yifan Wang*, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney
*Equal Contribution
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

[ Project Page ] [ Preprint ] [ Paper ] [ Code ] [ Poster ] [ Video ] [ BibTex ]

Serial dependence in perception across naturalistic GAN-generated mammograms

Zhihang Ren, Teresa Canas-Bajo, Cristina Ghirardo, Mauro Manassi, Stella X. Yu, David Whitney
Journal of Medical Imaging, 2023

[ PDF ] [ BibTex ]

Serial Dependence in Dermatological Judgments

Zhihang Ren, Xinyu Li, Dana Pietralla, Mauro Manassi, David Whitney
Diagnostics, 2023

[ PDF ] [ BibTex ]

Idiosyncratic biases in the perception of medical images

Zixuan Wang, Mauro Manassi, Zhihang Ren, Cristina Ghirardo, Teresa Canas-Bajo, Yuki Murai, Min Zhou, David Whitney
Frontiers in Psychology, section Perception Science, 2022

[ PDF ] [ BibTex ]

Controllable Medical Image Generation via GAN

Zhihang Ren, Stella X. Yu, David Whitney
Journal of Perceptual Imaging, 2022

[ PDF ] [ BibTex ]

Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning

Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney
IEEE/ACM Conference on Connected Health Applications, Systems, and Engineering Technologies (CHASE), 2021

[ PDF ] [ BibTex ]

Serial Dependence in the Perceptual Judgments of Radiologists

Mauro Manassi*, Cristina Ghirardo*, Teresa Canas-Bajo*, Zhihang Ren, William Prinzmetal, David Whitney
*Equal Contribution
Cognitive Research: Principles and Implications, 2021

[ PDF ] [ BibTex ]

Controllable medical image generation via generative adversarial networks

Zhihang Ren, Stella X. Yu, David Whitney
Human Vision and Electronic Imaging (HVEI), 2021

[ PDF ] [ BibTex ]

Coding Trajectory: Enable Video Coding for Video Denoising

Zhihang Ren, Peng Dai, Shuaicheng Liu, Shuyuan Zhu, Bing Zeng
IEEE International Conference on Image Processing (ICIP), 2018

[ PDF ] [ BibTex ]

Shape Recovery of Endoscopic Videos by Shape from Shading Using Mesh Regularization

Zhihang Ren, Tong He, Lingbing Peng, Shuaicheng Liu, Shuyuan Zhu, Bing Zeng
International Conference on Image and Graphics (ICIG), 2017

[ Code ] [ PDF ] [ BibTex ]

Meshflow Video Denoising

Zhihang Ren, Jiajia Li, Shuaicheng Liu, Bing Zeng
IEEE International Conference on Image Processing (ICIP), 2017

[ Project Page ] [ Code ] [ PDF ] [ BibTex ]

  • Collaborators: Yunhui Guo,Tapabrata (Rohan) Chakraborty

  • Research Assistants: Wish Wang, Yunqi Li, Ana Hernandez Reyes, Rena (Xinyu) Li, Yifan Wang, Sean (Shuchen) Liu, Charlie Cheng-Jie Ji, Ethan Shedd, Rina (Qimei) Li

  • Visiting Students: Dana Pietralla, Julien Vignoud

  • Reviewer Services: ICPR 2024, MICCAI 2024, ECCV 2024, Medical Education, Frontiers in Psychology, Springer Nature Computer Science

    • Experiences

    Machine Learning Engineer at TikTok Inc.

    • Build multi-modal harmful content detection systems for user posts auto-review involving images and videos.
    • Leverage Large-Language-Models (LLM) to boost the performance of the auto-review system.

    2024.07-Now

    Graduate Student Researcher at UC Berkeley / the Whitney Laboratory

    Supervised by Prof. David Whitney.
    2020.01-2024.05

    Graduate Student Researcher at UC Berkeley / ICSI

    Supervised by Prof. Stella Yu.

    2019.06-2023.05

    Research Scientist Intern at Meta Reality Labs

    Mentored by Dr. Shahin Aghdam.
    • Studied VQGAN in face editting applications and researched face editting in discrete latent space.
    • Researched a new style transfer task.

    2022.05.31-2022.12.02

    Graduate Student Instructor at UC Berkeley

    Assisted C126, Head GSI
    • Led discussion sessions, held office hours and assisted Prof. David Whitney on essays, and exams in C126: Perception.
    • Managed GSI duties, and arranged course materials.

    2021 Spring
    2022 Spring
    2023 Spring

    Graduate Student Instructor at UC Berkeley

    Assisted CS 189/289

    2019 Fall

    Graduate Student Researcher at UC San Diego / SVCL

    Worked with Prof. Nuno Vasconcelos and Prof. Bhaskar D. Rao.
    • Researched Bias in Action Recognition.
    • Researched Deep Learning in Medical Imaging.


    2018.02-2019.06

    Graduate Teaching Assistant at University of California, San Diego

    Assisted ECE 271A

    2018 Fall

    Undergraduate Student Researcher at University of Electronic Science and Technology of China

    Worked with Prof. Shuaicheng Liu.
    • Researched "Coding Trajectory: Enable Video Coding for Video Denoising".
    • Researched "Shape Recovery of Endoscopic Videos by Shape from Shading Using Mesh Regularization".
    • Researched "Meshflow Video Denoising".

    2015.10-2017.08

    Undergraduate Teaching Assistant at University of Electronic Science and Technology of China

    Assisted courses Introductory Programming and Microelectronic Systems
    • Assisted Prof. Wasim Ahmad with office hours and lab sessions in Introductory Programming course.
    • Assisted Prof. Sajjad Hussain with office hours, lab sessions, and projects in Microelectronic Systems course.


    2015 Fall
    2016 Spring
    2016 Fall

    Interests

    Coming from Chengdu where sunny days are precious, I appreciate every moment in the California sunshine. I love traveling, photography, and anything which could drag me outdoors. In particular, I like star shooting and wildlife shooting. You could find some of those photos in my instagram.

    When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows. I also love cooking. Sharing spicy and hot Sichuan food with friends is my favorite.

    Recent & Upcoming Talks