[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Repo for MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images

Generative AI Extension for the OHIF Viewer

[ECCV'24] Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement

Official code for Paper "Mantis: Multi-Image Instruction Tuning"

The source code for "Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach" (CVPR24 Oral)

Implementation of Deep Multiple Instance Learning algorithms in pytorch.

[Arxiv-2024] CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation

Virtual whiteboard for sketching hand-drawn like diagrams

Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

CVPR23, Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution

🔥 [CVPR 2024] Color Shift Estimation-and-Correction for Image Enhancement

Proposal for a set of APIs to support updating of DICOM instances via DICOMweb

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers

Meditron is a suite of open-source medical Large Language Models (LLMs).

Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23…

Modin: Scale your Pandas workflows by changing a single line of code

IT-48832

Segment Anything in Medical Images

Official Repository of NeurIPS 2023 - MedFM Challenge

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

[IEEE TIP 2024] TTST: A Top-k Token Selective Transformer for Remote Sensing Image Super-Resolution

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Official repository for the ICCV2023 paper "Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV"