33 citations · 40 across the 5 of their papers we have counts for
5 papers · 1 filter
PointGPT: Auto-regressively Generative Pre-training from Point Clouds
Guangyan Chen, Meiling Wang, Yi Yang +3
Large language models (LLMs) based on the generative pre-training transformer (GPT) have demonstrated remarkable effectiveness across a diverse range of downstream tasks. Inspired…
CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Images
Xihan Wang, Xi Xu, Yu Gao +3
Modern object detectors take advantage of rectangular bounding boxes as a conventional way to represent objects. When it comes to fisheye images, rectangular boxes involve more bac…
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking
Yu Gao, Xi Xu, Tianji Jiang +4
Object detection and pose estimation are difficult tasks in robotics and autonomous driving. Existing object detection and pose estimation methods mostly adopt the same-dimensional…
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
Guangyan Chen, Meiling Wang, Yufeng Yue +2
Recent Transformer-based methods have achieved advanced performance in point cloud registration by utilizing advantages of the Transformer in order-invariance and modeling dependen…
Semantic Reinforced Attention Learning for Visual Place Recognition
Guohao Peng, Yufeng Yue, Jun Zhang +3
Large-scale visual place recognition (VPR) is inherently challenging because not all visual cues in the image are beneficial to the task. In order to highlight the task-relevant vi…