How ImageDDI Boosts Drug‑Drug Interaction Prediction with Motif Sequences and Molecular Images

The ImageDDI framework, introduced by a team from Hunan University, combines molecular motif sequences with 2D/3D molecular images using a Transformer encoder and adaptive feature fusion, achieving significantly higher accuracy and macro‑F1 scores than existing methods on multiple DDI datasets, while also providing interpretable visual explanations.

Deep LearningDrug InteractionImage Fusion

0 likes · 10 min read

How ImageDDI Boosts Drug‑Drug Interaction Prediction with Motif Sequences and Molecular Images

AI Frontier Lectures

Apr 15, 2025 · Artificial Intelligence

How Dual-Optimization Distillation Boosts SAM-Driven Multimodal Image Fusion

This article presents a novel dual‑optimization distillation framework that injects Segment Anything Model (SAM) semantic priors into multimodal image fusion, achieving unified visual quality and task accuracy while using a lightweight sub‑network to keep inference efficient.

Image FusionSAMlightweight network

0 likes · 11 min read

How Dual-Optimization Distillation Boosts SAM-Driven Multimodal Image Fusion

AIWalker

Mar 7, 2025 · Artificial Intelligence

How GIFNet’s Low‑Level Interaction Breakthrough Enables Universal Multimodal Fusion Across Tasks

The paper introduces GIFNet, a three‑branch network that leverages low‑level visual tasks and a cross‑fusion gating mechanism to achieve a single, task‑agnostic image‑fusion model with dramatically reduced computation, strong generalization to unseen modalities, and even single‑modal enhancement capabilities.

CVPR2025Computer VisionGIFNet

0 likes · 20 min read

How GIFNet’s Low‑Level Interaction Breakthrough Enables Universal Multimodal Fusion Across Tasks

AIWalker

Mar 1, 2025 · Artificial Intelligence

UltraFusion HDR: AI-Generated HDR Algorithm Captures Detail and Balances Exposure

The UltraFusion HDR algorithm combines generative AI with traditional exposure fusion to recover details and produce natural‑looking high‑dynamic‑range images even when the exposure gap reaches up to 9 EV, turning over‑exposed or under‑exposed shots into high‑quality photos.

Computer VisionHDRImage Fusion

0 likes · 6 min read

UltraFusion HDR: AI-Generated HDR Algorithm Captures Detail and Balances Exposure

AIWalker

Jan 21, 2025 · Artificial Intelligence

UltraFusion HDR: How AIGC Enhances Dynamic Imaging to Capture Detail and Balance Exposure

The UltraFusion HDR algorithm, developed by Shanghai AI Lab with CUHK and Zhejiang University, combines generative AI with exposure fusion to recover detail and balance lighting even when exposure differences reach up to 9 EV, enabling high‑quality images from ordinary cameras without hardware upgrades.

Computer VisionDynamic RangeHDR

0 likes · 6 min read

UltraFusion HDR: How AIGC Enhances Dynamic Imaging to Capture Detail and Balance Exposure