On this site
Introduces a voxelized 3D Gaussian representation for dense visual SLAM on embedded vision platforms, combining redundancy pruning and attribute quantization for compact mapping and tracking.
Read paper story
Presents a self-supervised multimodal iterative denoising framework that learns corruption-stage estimation and residual reversal from noisy data alone without clean ground truth.
Read paper story
First to extend Vision-Language-Action (VLA) models to Vision-Sound-Language-Action (VSLA) for manipulation, coupling causal audio memory and flow matching for sound-centric control.
Read paper story