Search Results for author: Yiping Xie

Found 6 papers, 2 papers with code

SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal Consistency

no code implementations18 Sep 2024 Yiping Xie, Zitong Yu, Bingjie Wu, Weicheng Xie, Linlin Shen

Current solutions to this problem is to improve its generalization in the target domain through Domain Generalization (DG) or Domain Adaptation (DA).

Domain Generalization Source-Free Domain Adaptation

PhysMamba: Efficient Remote Physiological Measurement with SlowFast Temporal Difference Mamba

1 code implementation18 Sep 2024 Chaoqi Luo, Yiping Xie, Zitong Yu

Facial-video based Remote photoplethysmography (rPPG) aims at measuring physiological signals and monitoring heart activity without any contact, showing significant potential in various applications.

Mamba State Space Models

Evaluation of a Canonical Image Representation for Sidescan Sonar

1 code implementation18 Apr 2023 Weiqi Xu, Li Ling, Yiping Xie, Jun Zhang, John Folkesson

In this paper, a canonical transformation method consisting of intensity correction and slant range correction is proposed to decrease the above distortion.

Template Matching

Neural Network Normal Estimation and Bathymetry Reconstruction from Sidescan Sonar

no code implementations15 Jun 2022 Yiping Xie, Nils Bore, John Folkesson

In this article, we use a neural network to represent the map and optimize it under constraints of altimeter points and estimated surface normal from sidescan.

Representation Learning

High-Resolution Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks

no code implementations15 Jun 2022 Yiping Xie, Nils Bore, John Folkesson

This is then combined with the indirect but high-resolution seabed slope information from the sidescan to estimate the full bathymetry.

Vocal Bursts Intensity Prediction

Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report

no code implementations13 Apr 2021 Chao Xu, Yiping Xie, Xijun Wang, Howard H. Yang, Dusit Niyato, Tony Q. S. Quek

cost), by integrating R-learning, a tabular reinforcement learning (RL) algorithm tailored for maximizing the long-term average reward, and traditional DRL algorithms, initially developed to optimize the discounted long-term cumulative reward rather than the average one.

reinforcement-learning Reinforcement Learning +1

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