Anna Volokitin

20 papers A* 2Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
Explicit and data-Efficient Encoding via Gradient Flow.
CoRR
Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu
2023 — conf
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce.
VISIGRAPP (4: VISAPP)
Amrollah Seifoddini, Koen Vernooij, Timon Künzle, Alessandro Canopoli, Malte Alf, Anna Volokitin, Reza Shirvany
2023 J jnl
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce.
CoRR
Amrollah Seifoddini, Koen Vernooij, Timon Künzle, Alessandro Canopoli, Malte Alf, Anna Volokitin, Reza Shirvany
2022 — conf
Neural Face Video Compression using Multiple Views.
CVPR Workshops
Anna Volokitin, Stefan Brugger, Ali Benlalah, Sebastian Martin, Brian Amberg, Michael Tschannen
2022 J jnl
Neural Face Video Compression using Multiple Views.
CoRR
Anna Volokitin, Stefan Brugger, Ali Benlalah, Sebastian Martin, Brian Amberg, Michael Tschannen
2022 — —
Towards understanding convolutional features and applications to image manipulation and generation.
Anna Volokitin
2021 J jnl
Gradient flow encoding with distance optimization adaptive step size.
CoRR
Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu
2020 — conf
Decomposing Image Generation into Layout Prediction and Conditional Synthesis.
CVPR Workshops
Anna Volokitin, Ender Konukoglu, Luc Van Gool
2020 — conf
Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions.
ECCV Workshops (4)
Anna Volokitin, Igor Susmelj, Eirikur Agustsson, Luc Van Gool, Radu Timofte
2020 — conf
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE.
MICCAI (7)
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
2020 J jnl
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE.
CoRR
Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu
2017 — conf
Do Deep Neural Networks Suffer from Crowding?
NIPS
Anna Volokitin, Gemma Roig, Tomaso A. Poggio
2017 J jnl
Do Deep Neural Networks Suffer from Crowding?
CoRR
Anna Volokitin, Gemma Roig, Tomaso A. Poggio
2017 — conf
Early Adaptation of Deep Priors in Age Prediction from Face Images.
ICCV Workshops
Mahdi Hajibabaei, Anna Volokitin, Radu Timofte
2017 — conf
Predicting When Eye Fixations Are Consistent.
AAAI Spring Symposia
Anna Volokitin, Michael Gygli, Xavier Boix
2017 A* conf
Query-adaptive Video Summarization via Quality-aware Relevance Estimation.
ACM Multimedia
Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool
2017 J jnl
Query-adaptive Video Summarization via Quality-aware Relevance Estimation.
CoRR
Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool
2016 — conf
Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes.
CVPR Workshops
Anna Volokitin, Radu Timofte, Luc Van Gool
2016 — conf
ETH-CVL @ MediaEval 2016: Textual-Visual Embeddings and Video2GIF for Video Interestingness.
MediaEval
Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool
2016 A* conf
Predicting When Saliency Maps are Accurate and Eye Fixations Consistent.
CVPR
Anna Volokitin, Michael Gygli, Xavier Boix