GitHub

High-level visual representations in the human brain are aligned with large language models

The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative ...
IEEE

Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model

Abstract: Deep learning-based medical image processing methods can enhance diagnostic accuracy while significantly accelerating clinical decision workflows. However, in order to learn better visual ...
GitHub

Efficient Visual Representation Learning with Bidirectional State Space Model

Recently the state space models (SSMs) with efficient hardware-aware designs, i.e., the Mamba deep learning model, have shown great potential for long sequence modeling. Meanwhile building efficient ...
IEEE

Rapid-Mapping: LiDAR-Visual Implicit Neural Representations for Real-Time Dense Mapping

Abstract: Real-time dense mapping with high-fidelity textures in large-scale environments is such a challenge in robots, digital twins, and AR/VR applications. Neural Radiance Field (NeRF) has ...