Search Results for author: Xuanpeng Li

Found 8 papers, 4 papers with code

MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal Length

1 code implementation18 May 2024 Yezhuo Zhang, Zinan Zhou, Yichao Cao, Guangyu Li, Xuanpeng Li

With the rapid growth of the Internet of Things ecosystem, Automatic Modulation Classification (AMC) has become increasingly paramount.


Specific Emitter Identification Handling Modulation Variation with Margin Disparity Discrepancy

1 code implementation18 Mar 2024 Yezhuo Zhang, Zinan Zhou, Xuanpeng Li

In the domain of Specific Emitter Identification (SEI), it is recognized that transmitters can be distinguished through the impairments of their radio frequency front-end, commonly referred to as Radio Frequency Fingerprint (RFF) features.

CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction

no code implementations11 Jul 2023 Shengyi Li, Qifan Xue, Yezhuo Zhang, Xuanpeng Li

To leverage causal features for prediction, we propose a Causal Inspired Learning Framework (CILF), which includes three steps: 1) extracting domain-invariant causal feature by means of an invariance loss, 2) extracting domain variant feature by domain contrastive learning, and 3) separating domain-variant causal and non-causal feature by encouraging causal sufficiency.

Autonomous Driving Contrastive Learning +2

Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting

1 code implementation26 Nov 2021 Qifan Xue, Shengyi Li, Xuanpeng Li, Jingwen Zhao, Weigong Zhang

HMNet first infers the hierarchical difference on motions to encode physically compliant patterns with high expressivity of moving trends and driving intentions.

Decoder Trajectory Forecasting

Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes

no code implementations27 Jan 2021 Jingwen Zhao, Xuanpeng Li, Qifan Xue, Weigong Zhang

In this paper, we present a Spatial-Channel Transformer Network for trajectory prediction with attention functions.

Autonomous Driving Trajectory Prediction

Semi-Dense 3D Semantic Mapping from Monocular SLAM

no code implementations13 Nov 2016 Xuanpeng Li, Rachid Belaroussi

The bundle of geometry and appearance in computer vision has proven to be a promising solution for robots across a wide variety of applications.

3D Reconstruction Semantic Segmentation

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