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Kedar Tatwawadi

4 accepted papers

2026

What Matters in Practical Learned Image Compression

CVPR 2026

One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be optimized directly to appeal to the human visual system. Despite this potential, a perceptual yet practical image codec is yet to be proposed.In this work, we aim

Cited by 0SourcecodeScholar
2021

ELF-VC: Efficient Learned Flexible-Rate Video Coding

ICCV 2021poster

While learned video codecs have demonstrated great promise, they have yet to achieve sufficient efficiency for practical deployment. In this work, we propose several ideas for learned video compression which allow for improved performance for the low-latency mode (I- and P-frames only) along with a…

Cited by 132PDFcodeScholar
2020

Overcoming High Nanopore Basecaller Error Rates for DNA Storage via Basecaller-Decoder Integration and Convolutional Codes

ICASSP 2020accepted

As magnetization and semiconductor based storage technologies approach their limits, bio-molecules, such as DNA, have been identified as promising media for future storage systems, due to their high storage density (petabytes/gram) and long-term durability (thousands of years). Furthermore, nanopore…

Cited by 0SourceScholar
2019

Neural Joint Source-Channel Coding

ICML 2019oral

For reliable transmission across a noisy communication channel, classical results from information theory show that it is asymptotically optimal to separate out the source and channel coding processes. However, this decomposition can fall short in the finite bit-length regime, as it requires non-tri…