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Tianchen Ji
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2020 – today
- 2023
- [j3]Zhenxing Cai
, Huaiying Fang
, Fengfeng Jiang
, Jianhong Yang
, Tianchen Ji
, Yangyang Hu
, Xin Wang
:
AMFFNet: Asymmetric Multiscale Feature Fusion Network of RGB-NIR for Solid Waste Detection. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c9]Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell:
Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. AAMAS 2023: 1125-1134 - [c8]Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell:
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots. CoRL 2023: 1797-1819 - [c7]Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Driggs Campbell:
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. IROS 2023: 8038-8045 - [i8]Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell:
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. CoRR abs/2301.03634 (2023) - [i7]Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs Campbell:
Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. CoRR abs/2301.09749 (2023) - [i6]Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Rose Driggs-Campbell:
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. CoRR abs/2309.16826 (2023) - 2022
- [j2]Tianchen Ji
, Arun Narenthiran Sivakumar, Girish Chowdhary
, Katherine Driggs Campbell
:
Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion. IEEE Robotics Autom. Lett. 7(2): 4975-4982 (2022) - [j1]Zhenxing Cai, Jianhong Yang, Huaiying Fang, Tianchen Ji
, Yangyang Hu, Xin Wang:
Research on Waste Plastics Classification Method Based on Multi-Scale Feature Fusion. Sensors 22(20): 7974 (2022) - [c6]Tianchen Ji, Junyi Geng, Katherine Driggs Campbell:
Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty. CDC 2022: 1782-1789 - [c5]Haonan Chen, Tianchen Ji, Shuijing Liu, Katherine Driggs Campbell:
Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation. ITSC 2022: 1698-1704 - [c4]Abhi Kamboj, Tianchen Ji, Katie Driggs Campbell:
Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots. RO-MAN 2022: 293-300 - [c3]Tianchen Ji, Roy Dong, Katherine Driggs Campbell:
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. Robotics: Science and Systems 2022 - [i5]Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs Campbell:
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion. CoRR abs/2204.01146 (2022) - [i4]Tianchen Ji, Roy Dong, Katherine Driggs Campbell:
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. CoRR abs/2205.01768 (2022) - [i3]Abhi Kamboj, Tianchen Ji, Katie Driggs Campbell:
Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots. CoRR abs/2208.10455 (2022) - 2020
- [c2]Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Rose Driggs-Campbell:
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. CoRL 2020: 1443-1455 - [c1]Peter Du, Zhe Huang
, Tianqi Liu, Tianchen Ji, Ke Xu, Qichao Gao, Hussein Sibai
, Katherine Rose Driggs-Campbell, Sayan Mitra
:
Online Monitoring for Safe Pedestrian-Vehicle Interactions. ITSC 2020: 1-8 - [i2]Tianchen Ji, Katherine Rose Driggs-Campbell:
Robust Model Predictive Control with Recursive State Estimation under Set-Membership Uncertainty. CoRR abs/2008.04980 (2020) - [i1]Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Rose Driggs-Campbell:
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. CoRR abs/2012.08637 (2020)
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