Picture for Lingdong Kong

Lingdong Kong

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation

Add code
May 30, 2025
Viaarxiv icon

PixelThink: Towards Efficient Chain-of-Pixel Reasoning

Add code
May 29, 2025
Viaarxiv icon

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

Add code
May 29, 2025
Viaarxiv icon

SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation

Add code
May 28, 2025
Viaarxiv icon

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

Add code
May 28, 2025
Viaarxiv icon

Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps

Add code
May 24, 2025
Viaarxiv icon

PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning

Add code
Apr 22, 2025
Viaarxiv icon

EventFly: Event Camera Perception from Ground to the Sky

Add code
Mar 25, 2025
Viaarxiv icon

SuperFlow++: Enhanced Spatiotemporal Consistency for Cross-Modal Data Pretraining

Add code
Mar 25, 2025
Viaarxiv icon

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Add code
Jan 07, 2025
Figure 1 for Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Figure 2 for Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Figure 3 for Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Figure 4 for Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Viaarxiv icon