Akshay Gadde

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 14

Top Topics

Active Learning

Probabilistic Interpretation

Bilateral Filter

Rate Distortion Optimization

Top Venues

Publications

Sam John, Akshay Gadde, Balu Adsumilli
Rate Distortion Optimization Over Large Scale Video Corpus With Machine Learning. ICIP (2020)
Sam John, Akshay Gadde, Balu Adsumilli
Rate distortion optimization over large scale video corpus with machine learning. CoRR (2020)
Andrew Knyazev, Akshay Gadde, Hassan Mansour, Dong Tian
Guided Signal Reconstruction Theory. CoRR (2017)
Akshay Gadde, Mengying Xu, Antonio Ortega
Sparse inverse bilateral filters for image processing. ICASSP (2017)
Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega
Active Learning for Community Detection in Stochastic Block Models. CoRR (2016)
Akshay Gadde, Eyal En Gad, Salman Avestimehr, Antonio Ortega
Active learning for community detection in stochastic block models. ISIT (2016)
Aamir Anis, Akshay Gadde, Antonio Ortega
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies. IEEE Trans. Signal Process. 64 (14) (2016)
Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega
Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches. CoRR (2016)
Eyal En Gad, Akshay Gadde, Amir Salman Avestimehr, Antonio Ortega
Active learning on weighted graphs using adaptive and non-adaptive approaches. ICASSP (2016)
Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour
Guided signal reconstruction with application to image magnification. GlobalSIP (2015)
Aamir Anis, Akshay Gadde, Antonio Ortega
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies. CoRR (2015)
Akshay Gadde, Antonio Ortega
A Probabilistic Interpretation of Sampling Theory of Graph Signals. CoRR (2015)
Akshay Gadde, Andrew Knyazev, Dong Tian, Hassan Mansour
Guided Signal Reconstruction with Application to Image Magnification. CoRR (2015)
Akshay Gadde, Antonio Ortega
A probabilistic interpretation of sampling theory of graph signals. ICASSP (2015)
Aamir Anis, Akshay Gadde, Antonio Ortega
Towards a sampling theorem for signals on arbitrary graphs. ICASSP (2014)
Akshay Gadde, Aamir Anis, Antonio Ortega
Active semi-supervised learning using sampling theory for graph signals. KDD (2014)
Akshay Gadde, Aamir Anis, Antonio Ortega
Active Semi-Supervised Learning Using Sampling Theory for Graph Signals. CoRR (2014)
Thomas Maugey, Yung Hsuan Chao, Akshay Gadde, Antonio Ortega, Pascal Frossard
Luminance coding in graph-based representation of multiview images. ICIP (2014)
Sunil K. Narang, Akshay Gadde, Eduard Sanou, Antonio Ortega
Localized Iterative Methods for Interpolation in Graph Structured Data. CoRR (2013)
Sunil K. Narang, Akshay Gadde, Antonio Ortega
Signal processing techniques for interpolation in graph structured data. ICASSP (2013)
Akshay Gadde, Sunil K. Narang, Antonio Ortega
Bilateral Filter: Graph Spectral Interpretation and Extensions CoRR (2013)
Sunil K. Narang, Akshay Gadde, Eduard Sanou, Antonio Ortega
Localized iterative methods for interpolation in graph structured data. GlobalSIP (2013)
Akshay Gadde, Sunil K. Narang, Antonio Ortega
Bilateral filter: Graph spectral interpretation and extensions. ICIP (2013)