activity
20172025
most citedDo Deep Neural Networks Suffer from Crowding?

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

stat.ML2025

Explicit and data-Efficient Encoding via Gradient Flow

Kyriakos Flouris, Anna Volokitin, Gustav Bredell +1

The autoencoder model typically uses an encoder to map data to a lower dimensional latent space and a decoder to reconstruct it. However, relying on an encoder for inversion can le…

cs.CV2023

ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce

Amrollah Seifoddini, Koen Vernooij, Timon Künzle +4

Accurately estimating human body shape from photos can enable innovative applications in fashion, from mass customization, to size and fit recommendations and virtual try-on. Body…

cs.CV2022

Neural Face Video Compression using Multiple Views

Anna Volokitin, Stefan Brugger, Ali Benlalah +3

Recent advances in deep generative models led to the development of neural face video compression codecs that use an order of magnitude less bandwidth than engineered codecs. These…

stat.ML2021

Gradient flow encoding with distance optimization adaptive step size

Kyriakos Flouris, Anna Volokitin, Gustav Bredell +1

The autoencoder model uses an encoder to map data samples to a lower dimensional latent space and then a decoder to map the latent space representations back to the data space. Imp…

eess.IV2020

Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE

Anna Volokitin, Ertunc Erdil, Neerav Karani +4

Probabilistic modelling has been an essential tool in medical image analysis, especially for analyzing brain Magnetic Resonance Images (MRI). Recent deep learning techniques for es…

cs.CV2017★ 1 cited

Do Deep Neural Networks Suffer from Crowding?

Anna Volokitin, Gemma Roig, Tomaso Poggio

Crowding is a visual effect suffered by humans, in which an object that can be recognized in isolation can no longer be recognized when other objects, called flankers, are placed c…

cs.CV2017

Query-adaptive Video Summarization via Quality-aware Relevance Estimation

Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin +1

Although the problem of automatic video summarization has recently received a lot of attention, the problem of creating a video summary that also highlights elements relevant to a…