Akshay Gadde

24 papers A* 1B 4Misc 5Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation.
CoRR
Jiongze Yu, Xiangbo Gao, Pooja Verlani, Akshay Gadde, Yilin Wang, Balu Adsumilli, Zhengzhong Tu
2020 B conf
Rate Distortion Optimization Over Large Scale Video Corpus With Machine Learning.
ICIP
Sam John, Akshay Gadde, Balu Adsumilli
2020 J jnl
Rate distortion optimization over large scale video corpus with machine learning.
CoRR
Sam John, Akshay Gadde, Balu Adsumilli
2017 J jnl
Guided Signal Reconstruction Theory.
CoRR
Andrew Knyazev, Akshay Gadde, Hassan Mansour, Dong Tian
2017 Misc conf
Sparse inverse bilateral filters for image processing.
ICASSP
Akshay Gadde, Mengying Xu, Antonio Ortega
2016 J jnl
Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches.
CoRR
Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega
2016 J jnl
Active Learning for Community Detection in Stochastic Block Models.
CoRR
Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega
2016 B conf
Active learning for community detection in stochastic block models.
ISIT
Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega
2016 Misc conf
Active learning on weighted graphs using adaptive and non-adaptive approaches.
ICASSP
Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega
2016 J jnl
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies.
IEEE Trans. Signal Process.
Aamir Anis, Akshay Gadde, Antonio Ortega
2015 J jnl
A Probabilistic Interpretation of Sampling Theory of Graph Signals.
CoRR
Akshay Gadde, Antonio Ortega
2015 Misc conf
A probabilistic interpretation of sampling theory of graph signals.
ICASSP
Akshay Gadde, Antonio Ortega
2015 J jnl
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies.
CoRR
Aamir Anis, Akshay Gadde, Antonio Ortega
2015 J jnl
Guided Signal Reconstruction with Application to Image Magnification.
CoRR
Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour
2015 — conf
Guided signal reconstruction with application to image magnification.
GlobalSIP
Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour
2014 J jnl
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals.
CoRR
Akshay Gadde, Aamir Anis, Antonio Ortega
2014 A* conf
Active semi-supervised learning using sampling theory for graph signals.
KDD
Akshay Gadde, Aamir Anis, Antonio Ortega
2014 B conf
Luminance coding in graph-based representation of multiview images.
ICIP
Thomas Maugey, Yung Hsuan Chao, Akshay Gadde, Antonio Ortega, Pascal Frossard
2014 Misc conf
Towards a sampling theorem for signals on arbitrary graphs.
ICASSP
Aamir Anis, Akshay Gadde, Antonio Ortega
2013 J jnl
Bilateral Filter: Graph Spectral Interpretation and Extensions
CoRR
Akshay Gadde, Sunil K. Narang, Antonio Ortega
2013 B conf
Bilateral filter: Graph spectral interpretation and extensions.
ICIP
Akshay Gadde, Sunil K. Narang, Antonio Ortega
2013 J jnl
Localized Iterative Methods for Interpolation in Graph Structured Data.
CoRR
Sunil K. Narang, Akshay Gadde, Eduard Sanou, Antonio Ortega
2013 — conf
Localized iterative methods for interpolation in graph structured data.
GlobalSIP
Sunil K. Narang, Akshay Gadde, Eduard Sanou, Antonio Ortega
2013 Misc conf
Signal processing techniques for interpolation in graph structured data.
ICASSP
Sunil K. Narang, Akshay Gadde, Antonio Ortega