Renu M. Rameshan

发表

MaskADNet: MOTS Based on ADNet

Anusha Aswath, Renu M. Rameshan, 2020, ICPRAM.

Object Triggered Egocentric Video Summarization

Aditya Nigam, Renu M. Rameshan, Samriddhi Jain, 2017, CAIP.

TRINet: Tracking and Re-identification Network for Multiple Targets in Egocentric Videos Using LSTMs

Renu M. Rameshan, Jyoti Nigam, Jyoti Nigam, 2019, CAIP.

End to End Deep Neural Network Classifier Design for Universal Sign Recognition

Renu M. Rameshan, Senthil Ponkumar, Vartika Sengar, 2020, ICPRAM.

EgoTracker: Pedestrian Tracking with Re-identification in Egocentric Videos

Renu M. Rameshan, Jyoti Nigam, Jyoti Nigam, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Joint MAP estimation for blind deconvolution: when does it work?

Subhasis Chaudhuri, Rajbabu Velmurugan, Renu M. Rameshan, 2012, ICVGIP '12.

High dynamic range imaging under noisy observations

Subhasis Chaudhuri, Rajbabu Velmurugan, Renu M. Rameshan, 2011, 2011 18th IEEE International Conference on Image Processing.

Blind Image Deconvolution

Subhasis Chaudhuri, Rajbabu Velmurugan, Renu M. Rameshan, 2014, Springer International Publishing.

Hierarchical Traffic Sign Recognition for Autonomous Driving

Renu M. Rameshan, Senthil Ponkumar, Vartika Sengar, 2020, ICPRAM.

Detection-Based Online Multi-target Tracking via Adaptive Subspace Learning

Renu M. Rameshan, Jyoti Nigam, Krishan Sharma, 2018, ICSM.

MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking pdf

Amit Satish Unde, Renu M. Rameshan, 2021, ArXiv.

Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model

Renu M. Rameshan, Mohana Singh, Mohan Singh, 2021, 2021 Picture Coding Symposium (PCS).

Sparsity-Based Blind Deconvolution

Renu M. Rameshan, S. Chaudhuri, R. Velmurugan, 2014 .

Spatial Domain Convergence Analysis

Renu M. Rameshan, S. Chaudhuri, R. Velmurugan, 2014 .

Analyzing the Robustness of PECNet

Renu M. Rameshan, Aryan Garg, 2022, ArXiv.

Blind Deconvolution Methods: A Review

Subhasis Chaudhuri, Rajbabu Velmurugan, Renu M. Rameshan, 2014 .

Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework

Shikha Gupta, A. D. Dileep, Aroor Dinesh Dileep, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images

Dileep Aroor Dinesh, Renu M. Rameshan, Renu Rameshan, 2021, ICPRAM.

MAP Estimation: When Does It Work?

Subhasis Chaudhuri, Rajbabu Velmurugan, Renu M. Rameshan, 2014 .

Computer Vision, Pattern Recognition, Image Processing, and Graphics

Sumantra Dutta Roy, Chetan Arora, Renu M. Rameshan, 2017, Communications in Computer and Information Science.

Image Set Classification Using a Distance-Based Kernel Over Affine Grassmann Manifold

Renu M. Rameshan, Krishan Sharma, Renu Rameshan, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Analyzing the Linear and Nonlinear Transformations of AlexNet to Gain Insight into Its Performance

Renu M. Rameshan, Renu Rameshan, Jyoti Nigam, 2019, ICPRAM.

Segmentation of Moving Objects in Traffic Video Datasets

Anusha Aswath, Renu M. Rameshan, Renu Rameshan, 2020, ICPRAM.

Learning optimally separated class-specific subspace representations using convolutional autoencoder pdf

Renu M. Rameshan, Krishan Sharma, Renu Rameshan, 2021, ArXiv.