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ORCIDRenu M. Rameshan
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2020 – today
- 2024
[c22]Samar Agnihotri, Renu M. Rameshan, Ritwik Ghosal, Prerit Gupta:
Lossless Binary Image Compression Using Learned Multi-Level Dictionaries. Allerton 2024: 1-8- [c21]Aryan Garg, Renu Rameshan:
G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System. Tiny Papers @ ICLR 2024 - [i7]Vidya Sunil, Renu M. Rameshan:
Simulation of a Vision Correction Display System. CoRR abs/2404.08238 (2024) - [i6]Samar Agnihotri, Renu Rameshan, Ritwik Ghosal:
Lossless Image Compression Using Multi-level Dictionaries: Binary Images. CoRR abs/2406.03087 (2024) - 2023
- [c20]Renu M. Rameshan
, Meet Pandya, Somya Goel:
DepScan: 3D Under Vehicle Scanning System. AIMLSystems 2023: 55:1-55:3 - [i5]Shikha Gupta, Soma Chakraborty, Renu Rameshan:
Analysis of Learned Features and Framework for Potato Disease Detection. CoRR abs/2310.05943 (2023) - 2022
- [i4]Aryan Garg, Renu M. Rameshan:
Analyzing the Robustness of PECNet. CoRR abs/2210.09846 (2022) - 2021
- [j2]Krishan Sharma, Renu Rameshan:
Distance based kernels for video tensors on product of Riemannian matrix manifolds. J. Vis. Commun. Image Represent. 75: 103045 (2021) - [j1]Krishan Sharma, Renu Rameshan:
Image Set Classification Using a Distance-Based Kernel Over Affine Grassmann Manifold. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1082-1095 (2021) - [c19]Soma Ghosh, Renu Rameshan, Dileep Aroor Dinesh:
An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images. ICPRAM 2021: 515-522 - [c18]Mohana Singh, Renu M. Rameshan:
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model. PCS 2021: 1-5 - [i3]Amit Satish Unde, Renu M. Rameshan:
MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking. CoRR abs/2102.03512 (2021) - [i2]Krishan Sharma, Shikha Gupta, Renu Rameshan:
Learning optimally separated class-specific subspace representations using convolutional autoencoder. CoRR abs/2105.08865 (2021) - [i1]Mohana Singh, Renu M. Rameshan:
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model. CoRR abs/2106.11558 (2021) - 2020
- [c17]Vartika Sengar, Renu M. Rameshan, Senthil Ponkumar:
End to End Deep Neural Network Classifier Design for Universal Sign Recognition. ICPRAM (Revised Selected Papers) 2020: 1-12 - [c16]Anusha Aswath, Renu M. Rameshan:
MaskADNet: MOTS Based on ADNet. ICPRAM (Revised Selected Papers) 2020: 13-26 - [c15]Vartika Sengar, Renu M. Rameshan, Senthil Ponkumar:
Hierarchical Traffic Sign Recognition for Autonomous Driving. ICPRAM 2020: 308-320 - [c14]Anusha Aswath, Renu Rameshan, Biju Krishnan, Senthil Ponkumar:
Segmentation of Moving Objects in Traffic Video Datasets. ICPRAM 2020: 321-332
2010 – 2019
- 2019
- [c13]Jyoti Nigam, Renu M. Rameshan:
TRINet: Tracking and Re-identification Network for Multiple Targets in Egocentric Videos Using LSTMs. CAIP (2) 2019: 438-448 - [c12]Krishan Sharma, Renu Rameshan:
Linearized Kernel Representation Learning from Video Tensors by Exploiting Manifold Geometry for Gesture Recognition. ICASSP 2019: 3437-3441 - [c11]Jyoti Nigam, Renu M. Rameshan:
Predicting Group Convergence in Egocentric Videos. ICPRAM 2019: 773-777 - [c10]Jyoti Nigam, Srishti Barahpuriya, Renu M. Rameshan:
Analyzing the Linear and Nonlinear Transformations of AlexNet to Gain Insight into Its Performance. ICPRAM 2019: 860-865 - 2018
- [c9]Krishan Sharma, Shikha Gupta, Aroor Dinesh Dileep, Renu Rameshan:
Scene Image Classification Using Reduced Virtual Feature Representation in Sparse Framework. ICASSP 2018: 2701-2705 - [c8]Jyoti Nigam, Krishan Sharma, Renu M. Rameshan:
Detection-Based Online Multi-target Tracking via Adaptive Subspace Learning. ICSM 2018: 285-295 - [e1]Renu Rameshan, Chetan Arora, Sumantra Dutta Roy:
Computer Vision, Pattern Recognition, Image Processing, and Graphics - 6th National Conference, NCVPRIPG 2017, Mandi, India, December 16-19, 2017, Revised Selected Papers. Communications in Computer and Information Science 841, Springer 2018, ISBN 978-981-13-0019-6 [contents] - 2017
- [c7]Krishan Sharma, Renu Rameshan:
Kernel Block-Sparse Representation for Classification. ACPR 2017: 735-740 - [c6]Samriddhi Jain, Renu M. Rameshan, Aditya Nigam:
Object Triggered Egocentric Video Summarization. CAIP (2) 2017: 428-439 - [c5]Jyoti Nigam, Renu M. Rameshan:
EgoTracker: Pedestrian Tracking with Re-identification in Egocentric Videos. CVPR Workshops 2017: 980-987 - 2016
- [c4]Krishan Sharma, Renu Rameshan:
Dictionary Based Approach for Facial Expression Recognition from Static Images. ICVGIP Workshops 2016: 39-49 - [c3]Munender Varshney, Renu Rameshan:
Accelerated learning of discriminative spatio-temporal features for action recognition. SPCOM 2016: 1-5 - 2014
- [b1]Subhasis Chaudhuri, Rajbabu Velmurugan, Renu M. Rameshan:
Blind Image Deconvolution - Methods and Convergence. Springer 2014, ISBN 978-3-319-10484-3, pp. 1-140 - 2012
- [c2]Renu M. Rameshan, Subhasis Chaudhuri, Rajbabu Velmurugan:
Joint MAP estimation for blind deconvolution: when does it work? ICVGIP 2012: 50 - 2011
- [c1]Renu M. Rameshan, Subhasis Chaudhuri, Rajbabu Velmurugan:
High dynamic range imaging under noisy observations. ICIP 2011: 1333-1336
Coauthor Index
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