Renu M. Rameshan

Orcid: 0000-0002-7623-0510

According to our database1, Renu M. Rameshan authored at least 31 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Lossless Image Compression Using Multi-level Dictionaries: Binary Images.
CoRR, 2024

Simulation of a Vision Correction Display System.
CoRR, 2024

G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Lossless Binary Image Compression Using Learned Multi-Level Dictionaries.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023
Analysis of Learned Features and Framework for Potato Disease Detection.
CoRR, 2023

DepScan: 3D Under Vehicle Scanning System.
Proceedings of the Third International Conference on AI-ML Systems, 2023

2022
Analyzing the Robustness of PECNet.
CoRR, 2022

2021
Image Set Classification Using a Distance-Based Kernel Over Affine Grassmann Manifold.
IEEE Trans. Neural Networks Learn. Syst., 2021

Distance based kernels for video tensors on product of Riemannian matrix manifolds.
J. Vis. Commun. Image Represent., 2021

Learning optimally separated class-specific subspace representations using convolutional autoencoder.
CoRR, 2021

MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking.
CoRR, 2021

Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model.
Proceedings of the Picture Coding Symposium, 2021

An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020
End to End Deep Neural Network Classifier Design for Universal Sign Recognition.
Proceedings of the Pattern Recognition Applications and Methods, 2020

Hierarchical Traffic Sign Recognition for Autonomous Driving.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Segmentation of Moving Objects in Traffic Video Datasets.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

MaskADNet: MOTS Based on ADNet.
Proceedings of the Pattern Recognition Applications and Methods, 2020

2019
Predicting Group Convergence in Egocentric Videos.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Analyzing the Linear and Nonlinear Transformations of AlexNet to Gain Insight into Its Performance.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Linearized Kernel Representation Learning from Video Tensors by Exploiting Manifold Geometry for Gesture Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

TRINet: Tracking and Re-identification Network for Multiple Targets in Egocentric Videos Using LSTMs.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Detection-Based Online Multi-target Tracking via Adaptive Subspace Learning.
Proceedings of the Smart Multimedia - First International Conference, 2018

Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
EgoTracker: Pedestrian Tracking with Re-identification in Egocentric Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Object Triggered Egocentric Video Summarization.
Proceedings of the Computer Analysis of Images and Patterns, 2017

Kernel Block-Sparse Representation for Classification.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Accelerated learning of discriminative spatio-temporal features for action recognition.
Proceedings of the 2016 International Conference on Signal Processing and Communications (SPCOM), 2016

Dictionary Based Approach for Facial Expression Recognition from Static Images.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016

2014
Blind Image Deconvolution - Methods and Convergence
Springer, ISBN: 978-3-319-10485-0, 2014

2012
Joint MAP estimation for blind deconvolution: when does it work?
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

2011
High dynamic range imaging under noisy observations.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011


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