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2020 – today
- 2023
[c12]Amrollah Seifoddini
, Koen Vernooij, Timon Künzle, Alessandro Canopoli, Malte Alf, Anna Volokitin, Reza Shirvany:
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce. VISIGRAPP (4: VISAPP) 2023: 746-754- [i6]Amrollah Seifoddini, Koen Vernooij, Timon Künzle, Alessandro Canopoli, Malte Alf, Anna Volokitin, Reza Shirvany:
ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce. CoRR abs/2304.07533 (2023) - 2022
- [b1]Anna Volokitin:
Towards understanding convolutional features and applications to image manipulation and generation. ETH Zurich, Zürich, Switzerland, 2022 - [c11]Anna Volokitin, Stefan Brugger, Ali Benlalah, Sebastian Martin, Brian Amberg, Michael Tschannen:
Neural Face Video Compression using Multiple Views. CVPR Workshops 2022: 1737-1741 - [i5]Anna Volokitin, Stefan Brugger, Ali Benlalah, Sebastian Martin, Brian Amberg, Michael Tschannen:
Neural Face Video Compression using Multiple Views. CoRR abs/2203.15401 (2022) - 2021
- [i4]Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu:
Gradient flow encoding with distance optimization adaptive step size. CoRR abs/2105.05031 (2021) - 2020
- [c10]Anna Volokitin, Ender Konukoglu, Luc Van Gool:
Decomposing Image Generation into Layout Prediction and Conditional Synthesis. CVPR Workshops 2020: 1530-1538 - [c9]Anna Volokitin, Igor Susmelj, Eirikur Agustsson, Luc Van Gool, Radu Timofte:
Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions. ECCV Workshops (4) 2020: 252-266 - [c8]Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu:
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE. MICCAI (7) 2020: 657-666 - [i3]Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu:
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE. CoRR abs/2007.04780 (2020)
2010 – 2019
- 2017
- [c7]Anna Volokitin, Michael Gygli, Xavier Boix:
Predicting When Eye Fixations Are Consistent. AAAI Spring Symposia 2017 - [c6]Mahdi Hajibabaei, Anna Volokitin, Radu Timofte:
Early Adaptation of Deep Priors in Age Prediction from Face Images. ICCV Workshops 2017: 1639-1647 - [c5]Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. ACM Multimedia 2017: 582-590 - [c4]Anna Volokitin, Gemma Roig, Tomaso A. Poggio:
Do Deep Neural Networks Suffer from Crowding? NIPS 2017: 5628-5638 - [i2]Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. CoRR abs/1705.00581 (2017) - [i1]Anna Volokitin, Gemma Roig, Tomaso A. Poggio:
Do Deep Neural Networks Suffer from Crowding? CoRR abs/1706.08616 (2017) - 2016
- [c3]Anna Volokitin, Michael Gygli, Xavier Boix:
Predicting When Saliency Maps are Accurate and Eye Fixations Consistent. CVPR 2016: 544-552 - [c2]Anna Volokitin, Radu Timofte, Luc Van Gool:
Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes. CVPR Workshops 2016: 1136-1144 - [c1]Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
ETH-CVL @ MediaEval 2016: Textual-Visual Embeddings and Video2GIF for Video Interestingness. MediaEval 2016
Coauthor Index
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