Uday Kamal

Orcid: 0000-0002-5161-4139

According to our database1, Uday Kamal authored at least 22 papers between 2018 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Passive Lightweight On-chip Sensors for Power Side Channel Attack Detection.
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

Driving Autonomy with Event-Based Cameras: Algorithm and Hardware Perspectives.
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

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark.
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
RemNet: remnant convolutional neural network for camera model identification.
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

Intelligent Human Counting through Environmental Sensing in Closed Indoor Settings.
Mob. Networks Appl., 2020

Let's Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing.
CoRR, 2020

Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet.
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
Predicting Human Count through Environmental Sensing in Closed Indoor Settings.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018


  Loading...