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Tianxiang Lin

Student / Roboticist

Carnegie Mellon University

About Me

My name is Tianxiang Lin. I am currently a second-year MSR student at Carnegie Mellon University. I am advised by Prof. Michael Kaess in Robot Perception Lab (RPL) at the Robotics Institute. Prior to that, I obtained my M.S. in Information Networking at Carnegie Mellon University and my B.E. in Software Engineering at University of Electronic Science and Technology of China (UESTC).

Interests

• Marine Robotics
• SLAM
• Computer Vision

Education

• M.S. in Robotics

  Carnegie Mellon University

• M.S. in Information Networking

  Carnegie Mellon University

• B.E. in Software Engineering

  University of Electronic Science and Technology of China

Publications

Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess (2023). Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping. In ICRA.

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Projects

Deep Learning

Simulated and Unsupervised Learning for the Generation of Realistic Imaging Sonar Datasets

In this project I present a novel Simulated and Unsupervised (S+U) learning approach for the generation of realistic imaging sonar datasets.

Apr 30, 2024

SLAM

Sonar Image Feature Detection and Matching for Acoustic Structure from Motion

This project mainly focuses on the prerequisite of feature-based ASfM algorithm.

Dec 12, 2023

Deep Learning

Optimal Transport Based Domain Adaptation

In this project, we focus on a large-scale optimal transportation model to perform the alignment of the representations in the source and target domains.

Dec 5, 2021

SLAM

Analysis for Graph-Based SLAM Algorithms

This project analyzed the performance of the state-of-the-art graph-based SLAM algorithms with robust kernel.

May 5, 2021

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