15 citations · 16 across the 5 of their papers we have counts for
4 papers · 1 filter
DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting
Hongyang Li, Hao Zhang, Zhaoyang Zeng +4
In this paper, we propose a new operator, called 3D DeFormable Attention (DFA3D), for 2D-to-3D feature lifting, which transforms multi-view 2D image features into a unified 3D spac…
Sparse Dense Fusion for 3D Object Detection
Yulu Gao, Chonghao Sima, Shaoshuai Shi +3
With the prevalence of multimodal learning, camera-LiDAR fusion has gained popularity in 3D object detection. Although multiple fusion approaches have been proposed, they can be cl…
Introducing Depth into Transformer-based 3D Object Detection
Hao Zhang, Hongyang Li, Ailing Zeng +4
In this paper, we present DAT, a Depth-Aware Transformer framework designed for camera-based 3D detection. Our model is based on observing two major issues in existing methods: lar…
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
Fangyun Wei, Xiao Sun, Hongyang Li +2
A recent approach for object detection and human pose estimation is to regress bounding boxes or human keypoints from a central point on the object or person. While this center-poi…