5 papers · 1 filter
Wat3R: Underwater 3D Geometry Learning without Annotations
Jiangwei Ren, Xingyu Jiang, Zijie Song +4
Estimating 3D geometry in underwater environments presents unique challenges due to light attenuation, scattering, and the absence of large-scale, high-quality 3D annotations. Pion…
NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding
Wei Xu, Cheng Wang, Dingkang Liang +4
Underwater exploration offers critical insights into our planet and attracts increasing attention for its broader applications in resource exploration, national security, etc. We s…
The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey
Sifan Tu, Xin Zhou, Dingkang Liang +4
The Driving World Model (DWM), which focuses on predicting scene evolution during the driving process, has emerged as a promising paradigm in the pursuit of autonomous driving (AD)…
MINIMA: Modality Invariant Image Matching
Jiangwei Ren, Xingyu Jiang, Zizhuo Li +3
Image matching for both cross-view and cross-modality plays a critical role in multimodal perception. In practice, the modality gap caused by different imaging systems/styles poses…
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding
Hongcheng Yang, Dingkang Liang, Dingyuan Zhang +4
The recent advancements in point cloud learning have enabled intelligent vehicles and robots to comprehend 3D environments better. However, processing large-scale 3D scenes remains…