5 citations · 6 across the 6 of their papers we have counts for
6 papers
LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance
Wenhao Yu, Jie Peng, Huanyu Yang +4
The conditional diffusion model has been demonstrated as an efficient tool for learning robot policies, owing to its advancement to accurately model the conditional distribution of…
Rendering-Enhanced Automatic Image-to-Point Cloud Registration for Roadside Scenes
Yu Sheng, Lu Zhang, Xingchen Li +4
Prior point cloud provides 3D environmental context, which enhances the capabilities of monocular camera in downstream vision tasks, such as 3D object detection, via data fusion. H…
Agent3D-Zero: An Agent for Zero-shot 3D Understanding
Sha Zhang, Di Huang, Jiajun Deng +4
The ability to understand and reason the 3D real world is a crucial milestone towards artificial general intelligence. The current common practice is to finetune Large Language Mod…
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation
Sha Zhang, Jiajun Deng, Lei Bai +3
We present a hybrid-view-based knowledge distillation framework, termed HVDistill, to guide the feature learning of a point cloud neural network with a pre-trained image network in…
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training
Jiayu Lei, Lisong Dai, Haoyun Jiang +9
Magnetic resonance imaging~(MRI) have played a crucial role in brain disease diagnosis, with which a range of computer-aided artificial intelligence methods have been proposed. How…
TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching
Haojie Ren, Sha Zhang, Sugang Li +5
Recently, it has become popular to deploy sensors such as LiDARs on the roadside to monitor the passing traffic and assist autonomous vehicle perception. Unlike autonomous vehicle…