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08/29/2023
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation
There has been a growing interest in developing multimodal machine trans...
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06/26/2023
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Unpaired image-to-image translation (UNIT) aims to map images between tw...
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06/11/2023
The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases
This study investigates the transformative potential of Large Language M...
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04/05/2023
Calibrating Cross-modal Feature for Text-Based Person Searching
We present a novel and effective method calibrating cross-modal features...
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02/08/2023
The XPRESS Challenge: Xray Projectomic Reconstruction – Extracting Segmentation with Skeletons
The wiring and connectivity of neurons form a structural basis for the f...
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02/01/2023
An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes
The size of image stacks in connectomics studies now reaches the terabyt...
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12/20/2022
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
The mechanism of existing style transfer algorithms is by minimizing a h...
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10/18/2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
Automatic rib labeling and anatomical centerline extraction are common p...
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04/06/2022
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN
Instance segmentation for unlabeled imaging modalities is a challenging ...
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04/06/2022
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Existing deep learning real denoising methods require a large amount of ...
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01/27/2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Image super-resolution (SR) is a fast-moving field with novel architectu...
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12/10/2021
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics
We present PyTorch Connectomics (PyTC), an open-source deep-learning fra...
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11/15/2021
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
Video instance segmentation aims to detect, segment, and track objects i...
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10/27/2021
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of...
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09/17/2021
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Manual rib inspections in computed tomography (CT) scans are clinically ...
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07/13/2021
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
The developmental process of embryos follows a monotonic order. An embry...
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02/01/2021
Consistent Recurrent Neural Networks for 3D Neuron Segmentation
We present a recurrent network for the 3D reconstruction of neurons that...
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12/02/2020
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Blastomere instance segmentation is important for analyzing embryos' abn...
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05/30/2020
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
Image segmentation is a fundamental vision task and a crucial step for m...
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09/27/2019
A Topological Nomenclature for 3D Shape Analysis in Connectomics
An essential task in nano-scale connectomics is the morphology analysis ...
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09/11/2018
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding
For video and volumetric data understanding, 3D convolution layers are w...
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11/24/2017
Video Enhancement with Task-Oriented Flow
Many video processing algorithms rely on optical flow to register differ...
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07/09/2015