1 citations · 1 across the 10 of their papers we have counts for
10 papers
Drop-In Perceptual Optimization for 3D Gaussian Splatting
Ezgi Ozyilkan, Zhiqi Chen, Oren Rippel +2
Despite their output being ultimately consumed by human viewers, 3D Gaussian Splatting (3DGS) methods often rely on ad-hoc combinations of pixel-level losses, resulting in blurry r…
Neural Compress-and-Forward for the Primitive Diamond Relay Channel
Ozan Aygün, Ezgi Ozyilkan, Elza Erkip
The diamond relay channel, where a source communicates with a destination via two parallel relays, is one of the canonical models for cooperative communications. We focus on the pr…
Learning-Based Compress-and-Forward Schemes for the Relay Channel
Ezgi Ozyilkan, Fabrizio Carpi, Siddharth Garg +1
The relay channel, consisting of a source-destination pair along with a relay, is a fundamental component of cooperative communications. While the capacity of a general relay chann…
Neural Compress-and-Forward for the Relay Channel
Ezgi Ozyilkan, Fabrizio Carpi, Siddharth Garg +1
The relay channel, consisting of a source-destination pair and a relay, is a fundamental component of cooperative communications. While the capacity of a general relay channel rema…
Robust Distributed Compression with Learned Heegard-Berger Scheme
Eyyup Tasci, Ezgi Ozyilkan, Oguzhan Kubilay Ulger +1
We consider lossy compression of an information source when decoder-only side information may be absent. This setup, also referred to as the Heegard-Berger or Kaspi problem, is a s…
Distributed Compression in the Era of Machine Learning: A Review of Recent Advances
Ezgi Ozyilkan, Elza Erkip
Many applications from camera arrays to sensor networks require efficient compression and processing of correlated data, which in general is collected in a distributed fashion. Whi…
Learned Wyner-Ziv Compressors Recover Binning
Ezgi Ozyilkan, Johannes Ballé, Elza Erkip
We consider lossy compression of an information source when the decoder has lossless access to a correlated one. This setup, also known as the Wyner-Ziv problem, is a special case…
Neural Distributed Image Compression with Cross-Attention Feature Alignment
Nitish Mital, Ezgi Ozyilkan, Ali Garjani +1
We consider the problem of compressing an information source when a correlated one is available as side information only at the decoder side, which is a special case of the distrib…
Neural Distributed Image Compression using Common Information
Nitish Mital, Ezgi Ozyilkan, Ali Garjani +1
We present a novel deep neural network (DNN) architecture for compressing an image when a correlated image is available as side information only at the decoder. This problem is kno…
Deep Joint Transmission-Recognition for Multi-View Cameras
Ezgi Ozyilkan, Mikolaj Jankowski
We propose joint transmission-recognition schemes for efficient inference at the wireless edge. Motivated by the surveillance applications with wireless cameras, we consider the pe…