collaborators

6 papers

cs.CV2025

VLNVerse: A Benchmark for Vision-Language Navigation with Versatile, Embodied, Realistic Simulation and Evaluation

Sihao Lin, Zerui Li, Xunyi Zhao +10

Despite remarkable progress in Vision-Language Navigation (VLN), existing benchmarks remain confined to fixed, small-scale datasets with naive physical simulation. These shortcomin…

cs.RO2025

Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning

Minghe Gao, Juncheng Li, Yuze Lin +15

We contend that embodied learning is fundamentally a lifecycle problem rather than a single-stage optimization. Systems that optimize only one link (data collection, simulation, le…

cs.CV2025

Syn-GRPO: Self-Evolving Data Synthesis for MLLM Perception Reasoning

Qihan Huang, Haofei Zhang, Rong Wei +4

RL (reinforcement learning) methods (e.g., GRPO) for MLLM (Multimodal LLM) perception ability has attracted wide research interest owing to its remarkable generalization ability. N…

cs.CV2025

Towards Physically Executable 3D Gaussian for Embodied Navigation

Bingchen Miao, Rong Wei, Zhiqi Ge +8

3D Gaussian Splatting (3DGS), a 3D representation method with photorealistic real-time rendering capabilities, is regarded as an effective tool for narrowing the sim-to-real gap. H…

cs.CV2025

Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts

Zhong Ji, Rongshuai Wei, Jingren Liu +2

Self-Explainable Models (SEMs) rely on Prototypical Concept Learning (PCL) to enable their visual recognition processes more interpretable, but they often struggle in data-scarce s…

cs.CV2025

R3GS: Gaussian Splatting for Robust Reconstruction and Relocalization in Unconstrained Image Collections

Xu yan, Zhaohui Wang, Rong Wei +3

We propose R3GS, a robust reconstruction and relocalization framework tailored for unconstrained datasets. Our method uses a hybrid representation during training. Each anchor comb…