Publications (5)
UMSS: Towards Unsupervised Multi-modal Semantic Segmentation
Haitian Zhang, Thai Duy Nguyen, Xiangyuan Wang +2
The paper introduces UniM2, an unsupervised framework for multimodal semantic segmentation that learns a shared latent space across sensors using cross‑modal correspondence and a h…
Physics-Guided Biomechanical Gait Adaptation for Humanoid Locomotion on Extreme Sloped Terrains
Xuanyu Chen, Mohan Liu, Dengchen Mei +6
Model-free reinforcement learning has enabled impressive humanoid locomotion; however, control on steep slopes remains largely unexplored. Unlike flat or discrete terrains, sloped…
VistaVLA: Geometry- and Semantic-Aware 3D Gaussian-Grounded VLA for Robotic Manipulation
Mohan Liu, Zhihao Gu, Xuanyu Chen +5
VistaVLA is a two-stage framework that builds a geometry- and semantic-aware 3D cognitive map using Gaussian primitives and compresses it into compact tokens for vision‑language‑ac…
OPTIMADE, an API for exchanging materials data
Casper W. Andersen, Rickard Armiento, Evgeny Blokhin +53
The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible an…
Rad-VLSM: A Cross-Modal Framework with Semantics-Assisted Prompting for Medical Segmentation and Diagnosis
Fengyi Zhang, Xujie Zeng, Mohan Liu +2
Medical image segmentation is more clinically valuable when it supports diagnosis rather than merely producing lesion masks. However, diagnostically relevant lesion cues are often…