2 citations · 3 across the 4 of their papers we have counts for
4 papers
TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection
Chenyang Lei, Weiyuan Peng, Guang Zhou +4
Most autonomous driving (AD) datasets incur substantial costs for collection and labeling, inevitably yielding a plethora of low-quality and redundant data instances, thereby compr…
CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection
Meiying Zhang, Weiyuan Peng, Guangyao Ding +3
Simulation data can be accurately labeled and have been expected to improve the performance of data-driven algorithms, including object detection. However, due to the various domai…
Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning
Chunlin Ji, Hanchu Shen, Zhan Xiong +3
Generalized zero shot learning (GZSL) is still a technical challenge of deep learning as it has to recognize both source and target classes without data from target classes. To pre…
TPC Together with Overlapped Time Domain Multiplexing System Based on Turbo Structure
Hao Zheng, Mingjun Xing, Yutao Yue +3
Overlapped time domain multiplexing (OvTDM) is a novel technique for utilizing inter-symbol interference (ISI) to benefit a communication system. We implement the OvTDM technique b…