GitHub

Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space

Welcome to the L2M repository! This is the official implementation of our ICCV'25 paper titled "Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space". To enable training from single ...
IEEE

Robotic Locomotion Skill Learning Using Unsupervised Reinforcement Learning With Controllable Latent Space Partition

Abstract: Effective skill learning in an unsupervised manner is one of the capabilities an intelligent agent or robot should have. The discovered task-agnostic skills can be fine-tuned to downstream ...
IEEE

Selecting Central and Divergent Samples via Leading Tree Metric Space for Semisupervised Learning

Abstract: The distribution of the labeled data can greatly affect the performance of a semisupervised learning (SSL) model. Most existing SSL models select the labeled data randomly and equally ...
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 ...