3 citations · 4 across the 6 of their papers we have counts for
6 papers
SToRe3D: Sparse Token Relevance in ViTs for Efficient Multi-View 3D Object Detection
Sandro Papais, Lezhou Feng, Charles Cossette +1
Vision Transformers (ViTs) enable strong multi-view 3D detection but are limited by high inference latency from dense token and query processing across multiple views and large 3D…
Learning Dynamic Representations via An Optimally-Weighted Maximum Mean Discrepancy Optimization Framework for Continual Learning
KaiHui Huang, RunQing Wu, JinHui Sheng +4
Continual learning has emerged as a pivotal area of research, primarily due to its advantageous characteristic that allows models to persistently acquire and retain information. Ho…
DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection
Zhe Huang, Yizhe Zhao, Hao Xiao +2
Multi-view camera-only 3D object detection largely follows two primary paradigms: exploiting bird's-eye-view (BEV) representations or focusing on perspective-view (PV) features, ea…
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
Yiqian Gan, Hao Xiao, Yizhe Zhao +4
Motion prediction has been an essential component of autonomous driving systems since it handles highly uncertain and complex scenarios involving moving agents of different types.…
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network
Dongqiangzi Ye, Yufei Xie, Weijia Chen +3
Due to the difficulty of acquiring large-scale 3D human keypoint annotation, previous methods for 3D human pose estimation (HPE) have often relied on 2D image features and sequenti…
MonoEdge: Monocular 3D Object Detection Using Local Perspectives
Minghan Zhu, Lingting Ge, Panqu Wang +1
We propose a novel approach for monocular 3D object detection by leveraging local perspective effects of each object. While the global perspective effect shown as size and position…