5 papers · 2 filters
GPOcc++: Unified Sparse Gaussian Occupancy Prediction with Visual Geometry Priors
Changqing Zhou, Yueru Luo, Yulan Guo +3
Accurate 3D scene understanding is fundamental to embodied intelligence and autonomous driving, where 3D occupancy provides a unified representation of objects, structures, and fre…
Improving Adversarial Transferability on Vision-Language Pre-training Models via Surrogate-Specific Bias Correction
Lijia Yu, Jiuxin Cao, Yuchen Qiang +3
Adversarial examples reveal vulnerabilities in Vision-Language Pre-training (VLP) models and provide insights for improving robustness. A key property is cross-model transferabilit…
FlowDec: Temporal Conditional Flow Decorruptor for Robust Continuous Vision-Language Navigation
Yufei Zhang, Changhao Chen
Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires agents to follow natural-language instructions in unseen scenes. While Large Models (LMs) have advanced…
Generalizing Visual Geometry Priors to Sparse Gaussian Occupancy Prediction
Changqing Zhou, Yueru Luo, Changhao Chen
Accurate 3D scene understanding is essential for embodied intelligence, with occupancy prediction emerging as a key task for reasoning about both objects and free space. Existing a…
Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes
Changqing Zhou, Yueru Luo, Han Zhang +2
Open-vocabulary 3D occupancy is vital for embodied agents, which need to understand complex indoor environments where semantic categories are abundant and evolve beyond fixed taxon…