Uday Kamal
Orcid: 0000-0002-5161-4139
According to our database1,
Uday Kamal
authored at least 22 papers
between 2018 and 2024.
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Bibliography
2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Harmonica: Hybrid Accelerator to Overcome Imperfections of Mixed-signal DNN Accelerators.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Efficient Learning of Event-Based Dense Representation Using Hierarchical Memories with Adaptive Update.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
2023
SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Sequence Agnostic Multimodal Pre-Processing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2023
Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions.
IEEE Trans. Intell. Transp. Syst., 2022
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-Rays.
IEEE J. Biomed. Health Informatics, 2022
A Sequence Agnostic Multimodal Preprocessing for Clogged Blood Vessel Detection in Alzheimer's Diagnosis.
CoRR, 2022
An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators.
CoRR, 2022
CoRR, 2022
<i>LC-Net</i>: <i>L</i>ocalized <i>C</i>ounting <i>Net</i>work for Extremely Dense Crowds.
Appl. Soft Comput., 2022
2021
Neural Comput. Appl., 2021
Anatomy X-Net: A Semi-Supervised Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification.
CoRR, 2021
2020
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint.
IEEE Trans. Intell. Transp. Syst., 2020
Mob. Networks Appl., 2020
Let's Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing.
CoRR, 2020
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
2019
Application of DenseNet in Camera Model Identification and Post-processing Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018