10 citations · 17 across the 5 of their papers we have counts for
5 papers
EdgeVO: An Efficient and Accurate Edge-based Visual Odometry
Hui Zhao, Jianga Shang, Kai Liu +2
Visual odometry is important for plenty of applications such as autonomous vehicles, and robot navigation. It is challenging to conduct visual odometry in textureless scenes or env…
INT: Towards Infinite-frames 3D Detection with An Efficient Framework
Jianyun Xu, Zhenwei Miao, Da Zhang +7
It is natural to construct a multi-frame instead of a single-frame 3D detector for a continuous-time stream. Although increasing the number of frames might improve performance, pre…
MKQ-BERT: Quantized BERT with 4-bits Weights and Activations
Hanlin Tang, Xipeng Zhang, Kai Liu +2
Recently, pre-trained Transformer based language models, such as BERT, have shown great superiority over the traditional methods in many Natural Language Processing (NLP) tasks. Ho…
Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting
Fusen Wang, Kai Liu, Fei Long +3
Currently, for crowd counting, the fully supervised methods via density map estimation are the mainstream research directions. However, such methods need location-level annotation…
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention
Kai Liu, Tianyi Wu, Cong Liu +1
Recently, Transformers have shown promising performance in various vision tasks. To reduce the quadratic computation complexity caused by each query attending to all keys/values, v…