activity
20232026
collaborators

7 papers

cs.CV2026

GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models

Rong Li, Shijie Li, Jiangyong Huang +7

Vision-language models (VLMs) struggle with metric and multi-view relationships that remain implicit in RGB observations. Geometry foundation models recover this structure from RGB…

cs.CV2025

Zero-Shot 3D Visual Grounding from Vision-Language Models

Rong Li, Shijie Li, Lingdong Kong +2

3D Visual Grounding (3DVG) seeks to locate target objects in 3D scenes using natural language descriptions, enabling downstream applications such as augmented reality and robotics.…

cs.RO2025

Stairway to Success: An Online Floor-Aware Zero-Shot Object-Goal Navigation Framework via LLM-Driven Coarse-to-Fine Exploration

Zeying Gong, Rong Li, Tianshuai Hu +6

Deployable service and delivery robots struggle to navigate multi-floor buildings to reach object goals, as existing systems fail due to single-floor assumptions and requirements f…

cs.CV2025

Global-Aware Monocular Semantic Scene Completion with State Space Models

Shijie Li, Zhongyao Cheng, Rong Li +4

Monocular Semantic Scene Completion (MonoSSC) reconstructs and interprets 3D environments from a single image, enabling diverse real-world applications. However, existing methods a…

cs.CV2024

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Rong Li, Shijie Li, Lingdong Kong +2

3D Visual Grounding (3DVG) aims to locate objects in 3D scenes based on textual descriptions, essential for applications like augmented reality and robotics. Traditional 3DVG appro…

cs.CV2023

TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation

Rong Li, ShiJie Li, Xieyuanli Chen +3

LiDAR semantic segmentation plays a crucial role in enabling autonomous driving and robots to understand their surroundings accurately and robustly. A multitude of methods exist wi…

cs.CL2023

An Examination of the Compositionality of Large Generative Vision-Language Models

Teli Ma, Rong Li, Junwei Liang

With the success of Large Language Models (LLMs), many Generative Vision-Language Models (GVLMs) have been constructed via multimodal instruction tuning. However, the performance o…