2 citations · 2 across the 2 of their papers we have counts for
3 papers
Benchmarking Neural Image Compression with DCT-Based Spectral Diagnostics
Nikolay I. Kalmykov, Razan Dibo, Yujun Du +3
Neural image compression (NIC) models are commonly evaluated with scalar rate-distortion metrics, which do not show how a codec treats individual spatial frequencies. We propose a…
T-MLA: A targeted multiscale log-exponential attack framework for neural image compression
Nikolay I. Kalmykov, Razan Dibo, Kaiyu Shen +4
Neural image compression (NIC) has become the state-of-the-art for rate-distortion performance, yet its security vulnerabilities remain significantly less understood than those of…
Suppressing Modulation Instability with Reinforcement Learning
Nikolay Kalmykov, Rishat Zagidullin, Oleg Rogov +2
Modulation instability is a phenomenon of spontaneous pattern formation in nonlinear media, oftentimes leading to an unpredictable behaviour and a degradation of a signal of intere…