92 citations · 145 across the 9 of their papers we have counts for
10 papers
CoGoal3D: Collaborative 3D Object Detection with 3D-Aware Fusion and Refinement
Zhihao Yang, Zhiyu Xiang, Peng Xu +5
V2X collaborative object detection features overcoming the limitations of single-vehicle systems by aggregating environmental features from multiple collaborative agents. However,…
4D Gaussian Splatting SLAM
Yanyan Li, Youxu Fang, Zunjie Zhu +3
Simultaneously localizing camera poses and constructing Gaussian radiance fields in dynamic scenes establish a crucial bridge between 2D images and the 4D real world. Instead of re…
UniVision: A Unified Framework for Vision-Centric 3D Perception
Yu Hong, Qian Liu, Huayuan Cheng +5
The past few years have witnessed the rapid development of vision-centric 3D perception in autonomous driving. Although the 3D perception models share many structural and conceptua…
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving
Jiale Li, Hang Dai, Hao Han +1
LiDAR and camera are two modalities available for 3D semantic segmentation in autonomous driving. The popular LiDAR-only methods severely suffer from inferior segmentation on small…
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
Yu Hong, Hang Dai, Yong Ding
Leveraging LiDAR-based detectors or real LiDAR point data to guide monocular 3D detection has brought significant improvement, e.g., Pseudo-LiDAR methods. However, the existing met…
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
Yi-Nan Chen, Hang Dai, Yong Ding
Pseudo-LiDAR 3D detectors have made remarkable progress in monocular 3D detection by enhancing the capability of perceiving depth with depth estimation networks, and using LiDAR-ba…
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
Jiale Li, Hang Dai, Ling Shao +1
In this paper, we present an Intersection-over-Union (IoU) guided two-stage 3D object detector with a voxel-to-point decoder. To preserve the necessary information from all raw poi…
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
Jiale Li, Hang Dai, Ling Shao +1
Most of the existing single-stage and two-stage 3D object detectors are anchor-based methods, while the efficient but challenging anchor-free single-stage 3D object detection is no…
M3DSSD: Monocular 3D Single Stage Object Detector
Shujie Luo, Hang Dai, Ling Shao +1
In this paper, we propose a Monocular 3D Single Stage object Detector (M3DSSD) with feature alignment and asymmetric non-local attention. Current anchor-based monocular 3D object d…
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds
Jiale Li, Shujie Luo, Ziqi Zhu +4
Most existing point cloud based 3D object detectors focus on the tasks of classification and box regression. However, another bottleneck in this area is achieving an accurate detec…