Donglai Wei

Orcid: 0000-0002-2329-5484

Affiliations:
  • Boston College, MA, USA


According to our database1, Donglai Wei authored at least 75 papers between 2011 and 2025.

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Bibliography

2025
Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields.
Medical Image Anal., 2025

2024
WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes.
IEEE Trans. Medical Imaging, November, 2024

Learning Gaze-aware Compositional GAN from Limited Annotations.
Proc. ACM Comput. Graph. Interact. Tech., May, 2024

- Visual Analysis of Neuronal Connectivity Motifs.
IEEE Trans. Vis. Comput. Graph., January, 2024

: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
IEEE Trans. Medical Imaging, January, 2024

SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization.
CoRR, 2024

Learning Gaze-aware Compositional GAN.
CoRR, 2024

FreSeg: Frenet-Frame-based Part Segmentation for 3D Curvilinear Structures.
CoRR, 2024

R<sup>2</sup>-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding.
CoRR, 2024

Learning Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition.
CoRR, 2024

Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge.
CoRR, 2024

TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images.
CoRR, 2024

Two-stage error detection to improve electron microscopy image mosaicking.
Comput. Biol. Medicine, 2024

VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction.
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

S<sup>3</sup>-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction.
Proceedings of the 5th International Workshop on Human-centric Multimedia Analysis, 2024

$\mathrm R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation.
IEEE Trans. Medical Imaging, December, 2023

Domain-Scalable Unpaired Image Translation via Latent Space Anchoring.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs.
IEEE J. Biomed. Health Informatics, August, 2023

VizAbility: Multimodal Accessible Data Visualization with Keyboard Navigation and Conversational Interaction.
CoRR, 2023

Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks.
CoRR, 2023

The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases.
CoRR, 2023

The XPRESS Challenge: Xray Projectomic Reconstruction - Extracting Segmentation with Skeletons.
CoRR, 2023

An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes.
CoRR, 2023

VizAbility: Multimodal Accessible Data Visualization with Keyboard Navigation and Conversational Interaction.
Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-Task Curriculum Learning for Partially Labeled Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
NucExM Dataset for Nuclei Segmentation in Expansion Microscopy.
Dataset, August, 2022

Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes.
IEEE Trans. Medical Imaging, 2022

Biomedical image analysis competitions: The state of current participation practice.
CoRR, 2022

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction.
CoRR, 2022

Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN.
CoRR, 2022

Revisiting RCAN: Improved Training for Image Super-Resolution.
CoRR, 2022

Texture-based Error Analysis for Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics.
CoRR, 2021

Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation.
CoRR, 2021

MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification.
CoRR, 2021

Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Consistent Recurrent Neural Networks For 3d Neuron Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Context Reasoning Attention Network for Image Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Channel Embedding for Informative Protein Identification from Highly Multiplexed Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automated Measurements of Key Morphological Features of Human Embryos for IVF.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.
Proceedings of the Computer Vision - ECCV 2020, 2020

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Topological Nomenclature for 3D Shape Analysis in Connectomics.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Video Enhancement with Task-Oriented Flow.
Int. J. Comput. Vis., 2019

Synapse-Aware Skeleton Generation for Neural Circuits.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Biologically-Constrained Graphs for Global Connectomics Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning and Using the Arrow of Time.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Parallel Separable 3D Convolution for Video and Volumetric Data Understanding.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Discovering physics and design trends from visual temporal structures.
PhD thesis, 2017

Motion microscopy for visualizing and quantifying small motions.
Proc. Natl. Acad. Sci. USA, 2017

Mining Visual Evolution in 21 Years of Web Design.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2015
Deviation magnification: revealing departures from ideal geometries.
ACM Trans. Graph., 2015

Understanding Intra-Class Knowledge Inside CNN.
CoRR, 2015

2014
Seeing the Arrow of Time.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Data-Driven Regularization Model for Stereo and Flow.
Proceedings of the 2nd International Conference on 3D Vision, 2014

2013
A Video Representation Using Temporal Superpixels.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Learning Deformations with Parallel Transport.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
RNAG: a new Gibbs sampler for predicting RNA secondary structure for unaligned sequences.
Bioinform., 2011


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