Devesh Upadhyay

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 36

Top Topics

Pose Estimation

Weather Conditions

Stochastic Dynamic Programming

Top Venues

Publications

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 (2024)
Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. CoRR (2024)
Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou
Deep Koopman Learning using the Noisy Data. CoRR (2024)
Mandar Pitale, Alireza Abbaspour, Devesh Upadhyay
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications. CoRR (2024)
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)
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 (2024)
Zhiyi Chen, Harshal Maske, Devesh Upadhyay, Huanyi Shui, Xun Huan, Jun Ni
Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems. CoRR (2024)
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 (2023)
Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller
FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving. CoRR (2023)
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) (2023)
Amin Ghafourian, Huanyi Shui, Devesh Upadhyay, Rajesh Gupta, Dimitar Filev, Iman Soltani Bozchalooi
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center. CoRR (2023)
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 (2023)
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)
Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller
Deer in the headlights: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving. IV (2023)
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)
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 (2023)
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 (2023)
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)
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 (2023)
Hongjiang Li, Huanyi Shui, Alemayehu Admasu, Praveen Narayanan, Devesh Upadhyay
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup. CoRR (2022)
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 (2022)
Tamás G. Molnár, Michael Hopka, Devesh Upadhyay, Michiel Van Nieuwstadt, Gábor Orosz
Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles. CoRR (2022)
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)
Soodeh Nikan, Devesh Upadhyay
Appearance-Based Gaze Estimation for Driver Monitoring. Gaze Meets ML (2022)
Kaushik Balakrishnan, Devesh Upadhyay
BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training. CoRR (2022)
Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha
Real-Time Driver Monitoring Systems through Modality and View Analysis. CoRR (2022)
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 (2021)
Kaushik Balakrishnan, Devesh Upadhyay
Stochastic Adversarial Koopman Model for Dynamical Systems. CoRR (2021)
Kaushik Balakrishnan, Devesh Upadhyay
Deep Adversarial Koopman Model for Reaction-Diffusion systems. CoRR (2020)
Tamás G. Molnár, Devesh Upadhyay, Michael Hopka, Michiel Van Nieuwstadt, Gábor Orosz
Open and closed loop traffic control by connected automated vehicles. CDC (2020)
Tamás G. Molnár, Devesh Upadhyay, Michael Hopka, Michiel Van Nieuwstadt, Gábor Orosz
Lagrangian Models for Controlling Large-Scale Heterogeneous Traffic. CDC (2019)
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 (2019)
Tao Zeng, Devesh Upadhyay, Guoming Zhu
Linear quadratic air-path control for diesel engines with regenerative and assisted turbocharger. CDC (2017)
Cory Hendrickson, Devesh Upadhyay, Michiel Van Nieuwstadt
A stochastic dynamic programming approach to selective catalytic reduction control. ACC (2017)
Tao Zeng, Devesh Upadhyay, Harold Sun, Guoming G. Zhu
Physics-based turbine power models for a Variable Geometry Turbocharger. ACC (2016)
Kang Song, Devesh Upadhyay, Harold Sun, Hui Xie, Guoming Zhu
A physics-based control-oriented model for compressor mass flow rate. CDC (2016)
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) (2010)
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)