activity
20222024
most citedFully Sparse 3D Object Detection

41 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20249 cited

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

Yuwen Xiong, Zhiqi Li, Yuntao Chen +10

We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of i…

cs.CV20234 cited

Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction

Feng Wang, Zilong Chen, Guokang Wang +2

In this paper, we propose the Masked Space-Time Hash encoding (MSTH), a novel method for efficiently reconstructing dynamic 3D scenes from multi-view or monocular videos. Based on…

cs.CV20236 cited

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

Lue Fan, Yuxue Yang, Yiming Mao +4

This paper aims for high-performance offline LiDAR-based 3D object detection. We first observe that experienced human annotators annotate objects from a track-centric perspective.…

cs.CV20232 cited

CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition

Youzhe Song, Feng Wang

The discriminability of feature representation is the key to open-set face recognition. Previous methods rely on the learnable weights of the classification layer that represent th…

cs.CV202241 cited

Fully Sparse 3D Object Detection

Lue Fan, Feng Wang, Naiyan Wang +1

As the perception range of LiDAR increases, LiDAR-based 3D object detection becomes a dominant task in the long-range perception task of autonomous driving. The mainstream 3D objec…