IEEE

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology

Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
GitHub

Efficient Visual Representation Learning with Bidirectional State Space Model

May. 2nd, 2024: Vision Mamba (Vim) is accepted by ICML2024. 🎉 Conference page can be found here. Feb. 10th, 2024: We update Vim-tiny/small weights and training scripts. By placing the class token at ...
IEEE

Interactive Semantic Map Representation for Skill-Based Visual Object Navigation

Abstract: Visual object navigation is one of the key tasks in mobile robotics. One of the most important components of this task is the accurate semantic representation of the scene, which is needed ...
GitHub

Don’t Blind Your VLA: Aligning Visual Representations for OOD Generalization

To address the degradation of visual-language (VL) representations during VLA supervised fine-tuning (SFT), we introduce Visual Representation Alignment. During SFT, we pull a VLA’s visual tokens ...