Chin-Yang Lin | 林晉暘

I am a Master's student at the Institute of Data Science and Engineering, College of Computer Science, National Yang Ming Chiao Tung University, specializing in 3D computer vision, pose estimation and sensor fusion. My advisors for the Master's degree are is Prof. Yu-Lun Liu and Prof. Wei-Chen Chiu.

Previously, I completed my undergraduate studies at National Cheng Kung University, where I double-majored in Computer Science and Geomatics.

Email  /  CV  /  LinkedIn  /  Github  /  YouTube

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News


Oct, 2024 Serve as a reviewer for ICLR 2025
Jul, 2024 Start my imaging engineer internship at Logitech
Mar, 2024 One paper accepted by SIGGRAPH 2024

Research

FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors
Chin-Yang Lin, Chung-Ho Wu , Chang-Han Yeh, Shih-Han Yen, Cheng Sun , Yu-Lun Liu
arXiv, 2024
project page / arXiv / code [comming soon]

FrugalNeRF turns just two images and 10 minutes into high-quality 3D scenes by using weight-sharing voxels and cross-scale geometric adaptation to guide training without relying on external priors.

DiffIR2VR: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
Changhan Yeh, Chin-Yang Lin, Zhixiang Wang, Chi-Wei Hsiao, Ting-Hsuan Chen, Yu-Lun Liu
arXiv, 2024
project page / arXiv / code / demo

DiffIR2VR-Zero leverages pre-trained diffusion models for video restoration, using hierarchical token merging and hybrid optical flow with nearest neighbor matching. It achieves top performance across diverse degradations without training.

BoostMVSNeRFs: Boosting MVS-based NeRFs to Generalizable View Synthesis in Large-scale Scenes
Chih-Hai Su, Chih-Yao Hu, Shr-Ruei Tsai, Jie-Ying Lee, Chin-Yang Lin, Yu-Lun Liu
SIGGRAPH, 2024  
project page / arXiv / video / code

Our method does not require training and can adapt to any MVS-based NeRF methods in a feed-forward fashion to improve rendering quality.

A CNN-Speed-Based GNSS/PDR Integrated System for Smartwatch
Chin-Yang Lin, Yang-En Lu, Chi-Hsin Huan, Kai-Wei Chiang
MMT, 2023  
paper / video

We proposed a GNSS/PDR fusion algorithm specifically designed for smartwatches. This algorithm tracks the varied roll and pitch of the sensor caused by hand swings and integrates a CNN model to predict 1-D speed and perform ZUPT detection.

Projects

Zero Shot Water Segmentation
Digital Image Processing (1st Water Segmentation Challenge)
NYCU,2023
code

Boosting zero-shot CLIP segmentation with a fast bilateral solver enables accurate estimation of water regions while preserving fine boundaries. Achieving up to 0.90 IoU on the test set surpasses other methods involving training or fine-tuning.

FS-NeRF: Fast Sparse Input Neural Radiance Field
Deep Learning and Practice (Final project the highest score)
NYCU,2023
code / poster

Achieving fast convergence of high-quality NeRF with only two input images by utilizing voxel representation and integrating visibility priors and monocular depth, reducing the training time by 30x.

Iris: Stereo camera localization in pre-build pointcloud maps
NCKU,2023
code / video

Stereo camera navigation in point cloud maps using ICP registration in challenging scenarios such as underground parking lots.

Wrist-Worn IMU PDR Algorithm
NCKU,2023
code

A wrist-worn IMU PDR algorithm. Utilizing VQF to compute IMU attitude, divided into three stages: Step Detection, Step Length Estimation, and Heading Estimation, enabling navigation with Wrist-Worn IMU worn by pedestrians.

OpenCV Visual Odometry
NCKU,2022
code / video

A ROS package for real-time monocular camera visual odometry based on OpenCV functions, including feature matching and camera pose estimation.

Industrial Robot Controler
NCKU,2022
code1 / code2 / video

A ROS package for robot navigation and arm control. It is capable of recognizing and grasping objects, as well as navigating to any location on the map.

Camera Navigation in Pre-build LiDAR Map
NCKU,2022
code / video

A real-time camera navigation algorithm in a pre-built LiDAR map, utilizing NDT for 3D point cloud registration, effectively reducing 65% of accumulated position error.


Design and source code from Jon Barron's website.

Last updated Oct 2024.