About Me

Hi! I am a first-year Masterโ€™s student in Computer Vision at the Robotics Institute, Carnegie Mellon University (CMU). Currently, I am working on video generation towards world models under the supervision of Professor Ziwei Liu at Nanyang Technological University, as well as 3D vision under the supervision of Professor Ming-Hsuan Yang at the University of California, Merced, and Professor Yongtao Wang at Peking University. My research interests include world modeling, video generation, and 3D vision.

I am currently a Masterโ€™s student in Computer Science and Vision (MSCV) at Carnegie Mellon University, actively applying for Internship for Summer 2026๏ผ

Research Interests

I am now focusing on the video generation and world modeling, also multimodal fusion of radar point cloud and camera images for object detection in the field of autonomous driving. My dream is to combine computer vision technology with robotics to make artificial intelligence more efficient and widely used in people's daily life. Through three years of research, I have explored several directions, including:

Image Processing

Blind Image Quality Assessment(BIQA): how to give an BIQA score that is closer to real human visual perception.

3D Vision

Radar & Image Fusion Detection: how to use multimodal fusion to improve the accuracy of autonomous driving object detection.

World Modeling

Build a Physical World Simulator: develop an interactive virtual world that accurately replicates the physical properties of the real world.

Video Generation

Video Foundation Model: design a foundational model with strong consistency and high-level capabilities to enhance the development of physical world simulators.

News

[2025.01] ๐ŸŽ‰ Our work RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection is accepted by ICLR2025 ๐ŸŽ‰. [2024.10] ๐ŸŽ‰ Our work Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance is accepted by WACV2025 ๐ŸŽ‰. [2024.10] ๐ŸŽ‰ Our work Low-light-rainy Image Restoration is accepted by TCSVT ๐ŸŽ‰. [2024.04] I became a reviewer for ACM MM 24! [2024.03] I became a reviewer for ICPR 24! [2023.08] ๐ŸŽ‰ Our work Low-light-rainy Image Restoration is on arXiv ๐ŸŽ‰.

Publications

RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection
Jingtong Yue*, Zhiwei Lin*, Xin Lin, Xiaoyu Zhou, Xiangtai Li, Lu Qi, Yongtao Wang, Ming-Hsuan Yang
Accepted by ICLR, 2025
Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration
Xin Lin, Yuyan Zhou, Jingtong Yue, Chao Ren, Kelvin C.K. Chan, Lu Qi, Ming-Hsuan Yang
Accepted by TPAMI, 2025
Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance
Jingtong Yue Xin Lin, Zijiu Yang, Chao Ren
WACV, 2025
Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the Dark
Xin Lin*, Jingtong Yue*, Sixian Ding, Chao Ren, Lu Qi, Ming-Hsuan Yang
TCSVT
project page / arXiv

Course Project

Image Restoration App


Jingtong yue and Xin Lin (software only)
Advisor: Prof. Chao Ren
Electronic Science and Technology Innovation Competition
SCU, 2023

Patrol Robot NUS SWS 2023


Jingtong Yue, Daohong Ying, Zimo Qi, Junlin Li
Advisor: Prof.Tan and Prof.Anderson
NUS, 2023

Experience

Peking University

2024.05 ~ today
Beijing, China
Visiting student
Supervisor: Prof.Yongtao Wang
University of California, Merced

2024.05 ~ today
Merced, CA, USA
Visiting student
Supervisor: Prof.Ming-Hsuan Yang
National University of Singapore

2023.05 ~ 2023.07
Singapore
Summer research student
Supervisor: Prof.Tan and Prof.Anderson
Sichuan University
2021.09 ~ present
Chengdu, Sichuan, China
GPA: 90.79/100
B.Eng. in Electronics and Information Engineering.

Honors

Second-class Scholarship, Sichuan University (top 3% in Sichaun University). Outstanding Student Award, Sichuan University (top 1% in Sichaun University). Chinese Mathematics Competitions first prize (top 0.08% in Sichuan province).