Tianchen Ji

According to our database, Tianchen Ji authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MSI-RGB Dual-Source Multiscale Fusion-Based Solid Waste Object Detection.

Haonan Liu, Jianhong Yang, Huaiying Fang, Tianchen Ji, Zhenxing Cai

IEEE Trans. Instrum. Meas., 2024

Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation.

Neeloy Chakraborty, Yixiao Fang, Andre Schreiber, Tianchen Ji, Zhe Huang, Aganze Mihigo, Cassidy Wall, Abdulrahman Almana, Katherine Rose Driggs-Campbell

CoRR, 2024

2023

AMFFNet: Asymmetric Multiscale Feature Fusion Network of RGB-NIR for Solid Waste Detection.

Zhenxing Cai, Huaiying Fang, Fengfeng Jiang, Jianhong Yang, Tianchen Ji, Yangyang Hu, Xin Wang

IEEE Trans. Instrum. Meas., 2023

Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation.

Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs Campbell

CoRR, 2023

An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation.

Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Driggs Campbell

IROS, 2023

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots.

Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell

Proceedings of the Conference on Robot Learning, 2023

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection.

Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Research on Waste Plastics Classification Method Based on Multi-Scale Feature Fusion.

Zhenxing Cai, Jianhong Yang, Huaiying Fang, Tianchen Ji, Yangyang Hu, Xin Wang

Sensors, 2022

Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion.

Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs Campbell

IEEE Robotics Autom. Lett., 2022

Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance.

Tianchen Ji, Roy Dong, Katherine Driggs Campbell

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots.

Abhi Kamboj, Tianchen Ji, Katie Driggs Campbell

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation.

Haonan Chen, Tianchen Ji, Shuijing Liu, Katherine Driggs Campbell

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty.

Tianchen Ji, Junyi Geng, Katherine Driggs Campbell

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2020

Robust Model Predictive Control with Recursive State Estimation under Set-Membership Uncertainty.

Tianchen Ji, Katherine Rose Driggs-Campbell

CoRR, 2020

Online Monitoring for Safe Pedestrian-Vehicle Interactions.

Peter Du, Zhe Huang, Tianqi Liu, Tianchen Ji, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Rose Driggs-Campbell, Sayan Mitra

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments.

Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Rose Driggs-Campbell

Proceedings of the 4th Conference on Robot Learning, 2020