Donglai Wei

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 38

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

Liang Jin, Shixuan Gu, Donglai Wei, Jason Ken Adhinarta, Kaiming Kuang, Yongjie Jessica Zhang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li
: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. IEEE Trans. Medical Imaging 43 (1) (2024)
Yuke Li, Lixiong Chen, Guangyi Chen, Ching-Yao Chan, Kun Zhang, Stefano Anzellotti, Donglai Wei
Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. CoRR (2023)
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, Luke Nightingale, Joost de Folter, Martin L. Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation. IEEE Trans. Medical Imaging 42 (12) (2023)
Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR (2022)
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, Hanspeter Pfister
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. CoRR (2021)
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification. CoRR (2021)
Felix Gonda, Donglai Wei, Hanspeter Pfister
Consistent Recurrent Neural Networks for 3D Neuron Segmentation. CoRR (2021)
Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. MICCAI (1) (2021)
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. MICCAI (8) (2021)
Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR (2021)
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, Hanspeter Pfister
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. MICCAI (1) (2021)
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. CoRR (2021)
Anirudh Srinivasan Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation. CoRR (2021)
Felix Gonda, Donglai Wei, Hanspeter Pfister
Consistent Recurrent Neural Networks For 3d Neuron Segmentation. ISBI (2021)
Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) (2021)
Zudi Lin, Donglai Wei, Jeff Lichtman, Hanspeter Pfister
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics. CoRR (2021)
Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. CoRR (2021)
Brian D. Leahy, Won-Dong Jang, Helen Y. Yang, Robbert Struyven, Donglai Wei, Zhe Sun, Kylie R. Lee, Charlotte Royston, Liz Cam, Yael Kalma, Foad Azem, Dalit Ben-Yosef, Hanspeter Pfister, Daniel Needleman
Automated Measurements of Key Morphological Features of Human Embryos for IVF. MICCAI (5) (2020)
Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. MICCAI (5) (2020)
Brian D. Leahy, Won-Dong Jang, Helen Y. Yang, Robbert Struyven, Donglai Wei, Zhe Sun, Kylie R. Lee, Charlotte Royston, Liz Cam, Yael Kalma, Foad Azem, Dalit Ben-Yosef, Hanspeter Pfister, Daniel Needleman
Automated Measurements of Key Morphological Features of Human Embryos for IVF. CoRR (2020)
Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. CoRR (2020)
Jianqiang Wan, Yang Liu, Donglai Wei, Xiang Bai, Yongchao Xu
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation. CVPR (2020)
Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian D. Leahy, Helen Y. Yang, James Tompkin, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation. CoRR (2020)
Salma Abdel Magid, Won-Dong Jang, Denis Schapiro, Donglai Wei, James Tompkin, Peter K. Sorger, Hanspeter Pfister
Channel Embedding for Informative Protein Identification from Highly Multiplexed Images. MICCAI (5) (2020)
Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, Hanspeter Pfister
A Topological Nomenclature for 3D Shape Analysis in Connectomics. CVPR Workshops (2020)
Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa-Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister
Two Stream Active Query Suggestion for Active Learning in Connectomics. ECCV (18) (2020)
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T. Freeman
Video Enhancement with Task-Oriented Flow. Int. J. Comput. Vis. 127 (8) (2019)
Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister
Biologically-Constrained Graphs for Global Connectomics Reconstruction. CVPR (2019)
Brian Matejek, Donglai Wei, Xueying Wang, Jinglin Zhao, Kálmán Palágyi, Hanspeter Pfister
Synapse-Aware Skeleton Generation for Neural Circuits. MICCAI (1) (2019)
Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff W. Lichtman, Hanspeter Pfister
A Topological Nomenclature for 3D Shape Analysis in Connectomics. CoRR (2019)
Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. BMVC (2018)
Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. ECCV Workshops (6) (2018)
Donglai Wei, Joseph J. Lim, Andrew Zisserman, William T. Freeman
Learning and Using the Arrow of Time. CVPR (2018)
Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. CoRR (2018)
Felix Gonda, Donglai Wei, Toufiq Parag, Hanspeter Pfister
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. CoRR (2018)
Neal Wadhwa, Justin G. Chen, Jonathan B. Sellon, Donglai Wei, Michael Rubinstein, Roozbeh Ghaffari, Dennis M. Freeman, Oral Büyüköztürk, Pai Wang, Sijie Sun, Sung Hoon Kang, Katia Bertoldi, Frédo Durand, William T. Freeman
Motion microscopy for visualizing and quantifying small motions. Proc. Natl. Acad. Sci. USA 114 (44) (2017)
Ali Jahanian, Phillip Isola, Donglai Wei
Mining Visual Evolution in 21 Years of Web Design. CHI Extended Abstracts (2017)
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T. Freeman
Video Enhancement with Task-Oriented Flow. CoRR (2017)
Donglai Wei, Bolei Zhou, Antonio Torralba, William T. Freeman
Understanding Intra-Class Knowledge Inside CNN. CoRR (2015)
Neal Wadhwa, Tali Dekel, Donglai Wei, Frédo Durand, William T. Freeman
Deviation magnification: revealing departures from ideal geometries. ACM Trans. Graph. 34 (6) (2015)
Donglai Wei, Ce Liu, William T. Freeman
A Data-Driven Regularization Model for Stereo and Flow. 3DV (2014)
Lyndsey C. Pickup, Zheng Pan, Donglai Wei, Yi-Chang Shih, Changshui Zhang, Andrew Zisserman, Bernhard Schölkopf, William T. Freeman
Seeing the Arrow of Time. CVPR (2014)
Jason Chang, Donglai Wei, John W. Fisher III
A Video Representation Using Temporal Superpixels. CVPR (2013)
Donglai Wei, Dahua Lin, John W. Fisher III
Learning Deformations with Parallel Transport. ECCV (2) (2012)
Donglai Wei, Lauren V. Alpert, Charles E. Lawrence
RNAG: a new Gibbs sampler for predicting RNA secondary structure for unaligned sequences. Bioinform. 27 (18) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Donglai Wei