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ORCIDDevesh Upadhyay
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2020 – today
- 2024
[c15]Zhiyi Chen, Harshal Maske, Devesh Upadhyay, Huanyi Shui, Xun Huan, Jun Ni:
Deep Koopman-Based Control of Quality Variation in Multistage Manufacturing Systems. ACC 2024: 893-898- [c14]Mingxin Yu, Chenning Yu, M.-Mahdi Naddaf-Sh, Devesh Upadhyay, Sicun Gao, Chuchu Fan:
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller. ICRA 2024: 14348-14355 - [i21]Liangqi Yuan, Dong-Jun Han
, Su Wang, Devesh Upadhyay, Christopher G. Brinton:
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. CoRR abs/2401.16685 (2024) - [i20]Mandar Pitale, Alireza Abbaspour, Devesh Upadhyay:
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications. CoRR abs/2402.08208 (2024) - [i19]Jianwen Li, Hyunsang Park, Wenjian Hao, Lei Xin, Jalil Chavez-Galaviz, Ajinkya Chaudhary, Meredith Bloss, Kyle Pattison, Christopher Vo, Devesh Upadhyay, Shreyas Sundaram, Shaoshuai Mou, Nina Mahmoudian:
C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles. CoRR abs/2403.05972 (2024) - [i18]Mingxin Yu, Chenning Yu, M.-Mahdi Naddaf-Sh, Devesh Upadhyay, Sicun Gao, Chuchu Fan:
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller. CoRR abs/2404.01184 (2024) - [i17]Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou:
Deep Koopman Learning using the Noisy Data. CoRR abs/2405.16649 (2024) - [i16]Zhiyi Chen, Harshal Maske, Devesh Upadhyay, Huanyi Shui, Xun Huan, Jun Ni:
Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems. CoRR abs/2407.16933 (2024) - 2023
- [j3]Debo Shi, Alireza Rahimpour, Amin Ghafourian, Mohammad Mahdi Naddaf Shargh, Devesh Upadhyay, Ty A. Lasky, Iman Soltani Bozchalooi:
Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation. Sensors 23(13): 6107 (2023) - [c13]Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha:
Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention. CVPR Workshops 2023: 2617-2625 - [c12]Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell:
Using simulation to quantify the performance of automotive perception systems. Autonomous Vehicles and Machines 2023: 1-8 - [c11]Mazin Hnewa, Alireza Rahimpour, Justin Miller, Devesh Upadhyay, Hayder Radha:
Cross Modality Knowledge Distillation for Robust Pedestrian Detection in Low Light and Adverse Weather Conditions. ICASSP 2023: 1-5 - [c10]Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller:
Deer in the headlights: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving. IV 2023: 1-6 - [i15]Aria Khademi, Michael Hopka, Devesh Upadhyay:
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index. CoRR abs/2302.00775 (2023) - [i14]Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell:
Using simulation to quantify the performance of automotive perception systems. CoRR abs/2303.00983 (2023) - [i13]Qian Wang, Huanyi Shui, Thi Tu Trinh Tran, Milad Zafar Nezhad, Devesh Upadhyay, Kamran Paynabar, Anqi He:
A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis. CoRR abs/2304.04755 (2023) - [i12]Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller:
FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving. CoRR abs/2304.05345 (2023) - [i11]Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha:
Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention. CoRR abs/2304.06370 (2023) - [i10]Amin Ghafourian, Huanyi Shui, Devesh Upadhyay, Rajesh Gupta, Dimitar P. Filev, Iman Soltani Bozchalooi:
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center. CoRR abs/2306.12627 (2023) - [i9]Zhiyi Chen, Harshal Maske, Huanyi Shui, Devesh Upadhyay, Michael Hopka, Joseph Cohen, Xingjian Lai, Xun Huan, Jun Ni:
Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems. CoRR abs/2309.10193 (2023) - 2022
- [c9]Tamás G. Molnár, Xunbi A. Ji, Sanghoon Oh, Dénes Takács, Michael Hopka, Devesh Upadhyay, Michiel Van Nieuwstadt, Gábor Orosz:
On-Board Traffic Prediction for Connected Vehicles: Implementation and Experiments on Highways. ACC 2022: 1036-1041 - [c8]Soodeh Nikan, Devesh Upadhyay:
Appearance-Based Gaze Estimation for Driver Monitoring. Gaze Meets ML 2022: 127-139 - [i8]Kaushik Balakrishnan, Devesh Upadhyay:
BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training. CoRR abs/2204.10209 (2022) - [i7]Tamás G. Molnár, Michael Hopka, Devesh Upadhyay, Michiel Van Nieuwstadt, Gábor Orosz:
Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles. CoRR abs/2204.11177 (2022) - [i6]Hongjiang Li, Huanyi Shui, Alemayehu Admasu, Praveen Narayanan, Devesh Upadhyay:
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup. CoRR abs/2207.09609 (2022) - [i5]Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha:
Real-Time Driver Monitoring Systems through Modality and View Analysis. CoRR abs/2210.09441 (2022) - [i4]Devesh Shah, Anirudh Suresh, Alemayehu Admasu, Devesh Upadhyay, Kalyanmoy Deb:
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models. CoRR abs/2211.09727 (2022) - 2021
- [i3]Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Christopher Rackauckas:
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations. CoRR abs/2107.09443 (2021) - [i2]Kaushik Balakrishnan, Devesh Upadhyay:
Stochastic Adversarial Koopman Model for Dynamical Systems. CoRR abs/2109.05095 (2021) - 2020
- [c7]Tamás G. Molnár, Devesh Upadhyay, Michael Hopka, Michiel Van Nieuwstadt, Gábor Orosz:
Open and closed loop traffic control by connected automated vehicles. CDC 2020: 239-244 - [i1]Kaushik Balakrishnan, Devesh Upadhyay:
Deep Adversarial Koopman Model for Reaction-Diffusion systems. CoRR abs/2006.05547 (2020)
2010 – 2019
- 2019
- [j2]Shih-Chia Huang, Jenq-Neng Hwang, Sy-Yen Kuo, Alécio P. D. Binotto, Devesh Upadhyay, Patrick C. K. Hung:
Special issue on Internet of Things (IoT) for in-vehicle systems. Eng. Appl. Artif. Intell. 85: 874-875 (2019) - [c6]Tamás G. Molnár, Devesh Upadhyay, Michael Hopka, Michiel Van Nieuwstadt, Gábor Orosz:
Lagrangian Models for Controlling Large-Scale Heterogeneous Traffic. CDC 2019: 3152-3157 - 2017
- [c5]Cory Hendrickson, Devesh Upadhyay, Michiel Van Nieuwstadt:
A stochastic dynamic programming approach to selective catalytic reduction control. ACC 2017: 5373-5378 - [c4]Tao Zeng, Devesh Upadhyay, Guoming Zhu:
Linear quadratic air-path control for diesel engines with regenerative and assisted turbocharger. CDC 2017: 232-237 - 2016
- [c3]Tao Zeng, Devesh Upadhyay, Harold Sun, Guoming G. Zhu:
Physics-based turbine power models for a Variable Geometry Turbocharger. ACC 2016: 5099-5104 - [c2]Kang Song, Devesh Upadhyay, Harold Sun, Hui Xie, Guoming Zhu:
A physics-based control-oriented model for compressor mass flow rate. CDC 2016: 6733-6738 - 2010
- [j1]Bradley Charles Glenn, Devesh Upadhyay, Gregory N. Washington:
Control Design of Electrically Assisted Boosting Systems for Diesel Powertrain Applications. IEEE Trans. Control. Syst. Technol. 18(4): 769-778 (2010)
2000 – 2009
- 2004
- [c1]Avra Brahma, Devesh Upadhyay, Andrea Serrani, Giorgio Rizzoni:
Modeling, identification and state estimation of diesel engine torque and NOx dynamics in response to fuel quantity and timing excitations. ACC 2004: 2166-2171
Coauthor Index
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