1 citations · 1 across the 7 of their papers we have counts for
8 papers
Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation
Jingyun Fu, Zhiyu Xiang, Na Zhao
Due to the difficulty of obtaining ground-truth data for 4D radar scene flow estimation, previous methods typically rely on either self-supervised losses or cross-modal supervision…
CCF: Complementary Collaborative Fusion for Domain Generalized Multi-Modal 3D Object Detection
Yuchen Wu, Kun Wang, Yining Pan +1
Multi-modal fusion has emerged as a promising paradigm for accurate 3D object detection. However, performance degrades substantially when deployed in target domains different from…
Metric Depth Estimation from Arbitrarily Degraded Low-Resolution Depth Prompts
Kun Wang, Yun Zhu, Pan Zhou +1
We propose AdaDS, an Adaptive Diffusion Sampling framework for prompted metric depth estimation, which estimates high-resolution metric depth from an image and an arbitrarily degra…
RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds
Jingyun Fu, Zhiyu Xiang, Na Zhao
Recent multimodal fusion methods, integrating images with LiDAR point clouds, have shown promise in scene flow estimation. However, the fusion of 4D millimeter wave radar and LiDAR…
H3R: Hybrid Multi-view Correspondence for Generalizable 3D Reconstruction
Heng Jia, Linchao Zhu, Na Zhao
Despite recent advances in feed-forward 3D Gaussian Splatting, generalizable 3D reconstruction remains challenging, particularly in multi-view correspondence modeling. Existing app…
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation
Yining Pan, Qiongjie Cui, Xulei Yang +1
LiDAR-based 3D panoptic segmentation often struggles with the inherent sparsity of data from LiDAR sensors, which makes it challenging to accurately recognize distant or small obje…
DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting
Penghui Wen, Mengwei He, Patrick Filippi +5
Accurate short-term precipitation forecasting is critical for weather-sensitive decision-making in agriculture, transportation, and disaster response. Existing deep learning approa…
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer
Hualian Sheng, Sijia Cai, Na Zhao +4
The field of 3D object detection from point clouds is rapidly advancing in computer vision, aiming to accurately and efficiently detect and localize objects in three-dimensional sp…