356 citations · 414 across the 10 of their papers we have counts for
11 papers
SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation
Jiongze Yu, Xiangbo Gao, Pooja Verlani +4
Video Super-Resolution (VSR) aims to restore high-quality video frames from low-resolution (LR) estimates, yet most existing VSR approaches behave like black boxes at inference tim…
Rate distortion optimization over large scale video corpus with machine learning
Sam John, Akshay Gadde, Balu Adsumilli
We present an efficient codec-agnostic method for bitrate allocation over a large scale video corpus with the goal of minimizing the average bitrate subject to constraints on avera…
Guided Signal Reconstruction Theory
Andrew Knyazev, Akshay Gadde, Hassan Mansour +1
An axiomatic approach to signal reconstruction is formulated, involving a sample consistent set and a guiding set, describing desired reconstructions. New frame-less reconstruction…
Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches
Eyal En Gad, Akshay Gadde, A. Salman Avestimehr +1
This paper studies graph-based active learning, where the goal is to reconstruct a binary signal defined on the nodes of a weighted graph, by sampling it on a small subset of the n…
Active Learning for Community Detection in Stochastic Block Models
Akshay Gadde, Eyal En Gad, Salman Avestimehr +1
The stochastic block model (SBM) is an important generative model for random graphs in network science and machine learning, useful for benchmarking community detection (or cluster…
Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies
Aamir Anis, Akshay Gadde, Antonio Ortega
We study the problem of selecting the best sampling set for bandlimited reconstruction of signals on graphs. A frequency domain representation for graph signals can be defined usin…