Applied Scientist | Amazon Alexa
Time: Jun 2022 - Present.

Research Assistant | School of Engineering and Applied Sciences, Harvard University
Time: Aug 2017 - Jun 2022. Advisor: Prof. Hanspeter Pfister

Applied Scientist Intern | Amazon Web Services (AWS)
Time: May 2021 - Sep 2021. Mentor: Dr. Erhan Bas

Research Intern | Mitsubishi Electric Research Laboratories (MERL)
Time: May 2019 - Aug 2019. Mentor: Dr. Ziming Zhang

Dense 4D Nanoscale Reconstruction of Living Brain Tissue
Philipp Velicky, Eder Miguel, Julia M. Michalska, Julia Lyudchik, Donglai Wei, Zudi Lin, Jake F. Watson, Jakob Troidl, Johanna Beyer, Yoav Ben-Simon, Christoph Sommer, Wiebke Jahr, Alban Cenameri, Johannes Broichhagen, Seth G. N. Grant, Peter Jonas, Gaia Novarino, Hanspeter Pfister, Bernd Bickel, and Johann G. Danzl
Nature Methods, 2023
[Paper] [bioRxiv] [Code]

Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform
Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, and Hanspeter Pfister
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2023
[Paper] [arXiv] [Code]
Oral Presentation

Current Progress and Challenges in Large-scale 3D Mitochondria Instance Segmentation
Daniel Franco-Barranco, Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin, Yutian Fan, Mingxing Li, Chang Chen, Zhiwei Xiong, Rui Xin, Hao Liu, Huai Chen, Zhili Li, Jie Zhao, Xuejin Chen, Constantin Pape, Ryan Conrad, Jozefus De Folter, Luke Nightingale, Martin Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, and Donglai Wei
IEEE Transactions on Medical Imaging (TMI), 2023
[Paper] [TechRxiv] [Challenge] [Code]

Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Siyu Huang, Jie An, Donglai Wei, Zudi Lin, Jiebo Luo, and Hanspeter Pfister
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023
[Paper] [Code]

3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs
Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, and Donglai Wei
IEEE Journal of Biomedical and Health Informatics (J-BHI), 2023
[Paper] [arXiv] [Project Page] [Code]

CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, and Luc Van Gool
Computer Vision and Pattern Recognition (CVPR), 2023
[Paper] [arXiv] [Code]

Relaxing Contrastiveness in Multimodal Representation Learning
Zudi Lin, Erhan Bas, Kunwar Yashraj Singh, Gurumurthy Swaminathan, and Rahul Bhotika
Winter Conference on Applications of Computer Vision (WACV), 2023
[Paper] [Amazon Science]

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, and Luc Van Gool
Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
[Paper] [arXiv] [Code] [Challenge Paper]
Winner of NTIRE 2022 Challenge on Spectral Reconstruction

Texture-based Error Analysis for Image Super-Resolution
Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu and Hanspeter Pfister
Computer Vision and Pattern Recognition (CVPR), 2022
[Paper]

YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset
Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Abhijay Kemkar, Ritik Mathur, Anirudh Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip Torr and Hanspeter Pfister
Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Project Page] [Dataset]

Discrete Cosine Transform Network for Guided Depth Super-Resolution
Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Zudi Lin and Hanspeter Pfister
Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [arXiv] [Code]
Oral Presentation

A Connectomic Study of A Petascale Fragment of Human Cerebral Cortex
Alexander Shapson-Coe, Michał Januszewski, Daniel R. Berger, Art Pope, Yuelong Wu, Tim Blakely, Richard L. Schalek, Peter Li, Shuohong Wang, Jeremy Maitin-Shepard, Neha Karlupia, Sven Dorkenwald, Evelina Sjostedt, Laramie Leavitt, Dongil Lee, Luke Bailey, Angerica Fitzmaurice, Rohin Kar, Benjamin Field, Hank Wu, Julian Wagner-Carena, David Aley, Joanna Lau, Zudi Lin, Donglai Wei, Hanspeter Pfister, Adi Peleg, Viren Jain and Jeff W. Lichtman
bioRxiv, 2021
[bioRxiv] [Dataset] [Google AI Blog] [MIT Tech Review] [Scientific American]

PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics
Zudi Lin, Donglai Wei, Jeff Lichtman and Hanspeter Pfister
arXiv preprint arXiv:2112.05754, 2021
[arXiv] [Code] [Documentation]

Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution
Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu and Hanspeter Pfister
International Conference on Computer Vision (ICCV), 2021
[Paper] [Code]

Asymmetric 3D Context Fusion for Universal Lesion Detection
Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister and Bingbing Ni
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021
[Paper] [arXiv] [Code]

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman and Hanspeter Pfister
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021
[Paper] [arXiv] [Code] [Project Page]
Student Travel Award

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman and Hanspeter Pfister
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021
[Paper] [arXiv] [Code] [Project Page]

The Wood Image Analysis and Dataset (WIAD): open-access visual analysis tools to advance the ecological data revolution
Tim Rademacher, Bijan Seyednasrollah, David Basler, Jian Cheng, Tessa Mandra, Elise Miller, Zudi Lin, David A Orwig, Neil Pederson, Hanspeter Pfister, Andrew D Richardson, Donglai Wei and Li Yao
Methods in Ecology and Evolution, 2021
[Paper] [bioRxiv]

Two-Stream Active Query Suggestion for Active Learning in Connectomics
Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel Berger, Adi Suissa-Peleg, Brian Matejek, Lee Kamentsky, Toufiq Parag, Thouis Jones, Daniel Haehn, Jeff Lichtman and Hanspeter Pfister
European Conference on Computer Vision (ECCV), 2020
[Paper] [Supp.] [Code]

MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images
Donglai Wei, Zudi Lin, Daniel Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff Lichtman, Hanspeter Pfister
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2020
[Paper] [Code] [Challenge] [Tutorial]

A Topological Nomenclature for 3D Shape Analysis in Connectomics
Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, and Hanspeter Pfister
Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
[Paper] [Code]

White-Box Adversarial Defense via Self-Supervised Data Estimation
Zudi Lin, Hanspeter Pfister and Ziming Zhang
arXiv preprint arXiv:1909.06271, 2019
[arXiv] [Code]

FDive: Learning Relevance Models using Pattern-based Similarity Measures
Frederik Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, and Michael Behrisch
IEEE Conference on Visual Analytics Science and Technology (VAST), 2019
[Paper] [arXiv]