2 papers
cs.CV2026
Inter-3D VQA: A Roadside Multimodal Benchmark for 3D Spatiotemporally Grounded Visual Question Answering
Shaozu Ding, Linan Song, Dajiang Suo
Recent advances in visual question answering (VQA) and multimodal large language models (MLLMs) have enabled natural-language reasoning over traffic scenes. However, existing bench…
cs.CV2026
RESOLVE: A Multi-Resolution and Multi-Modal Dataset for Roadside Cooperative Perception
Shaozu Ding, Linan Song, Marco De Vincenzi +1
LiDAR has increasingly been integrated into traffic cameras to expand coverage and mitigate occlusion in roadside cooperative perception. However, how unimodal and camera-LiDAR fus…