| Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age R Patcas, DAJ Bernini, A Volokitin, E Agustsson, R Rothe, R Timofte International Journal of Oral and Maxillofacial Surgery, 2018 | 167 | 2018 |
| Query-adaptive Video Summarization via Quality-aware Relevance Estimation AB Vasudevan, M Gygli, A Volokitin, L Van Gool Proceedings of the 2017 ACM on Multimedia Conference, 582-590, 2017 | 106 | 2017 |
| Facial attractiveness of cleft patients: a direct comparison between artificial-intelligence-based scoring and conventional rater groups R Patcas, R Timofte, A Volokitin, E Agustsson, T Eliades, M Eichenberger, ... European journal of orthodontics 41 (4), 428-433, 2019 | 62 | 2019 |
| Do Deep Neural Networks Suffer from Crowding? A Volokitin, G Roig, TA Poggio Advances in Neural Information Processing Systems, 5628-5638, 2017 | 34 | 2017 |
| Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE A Volokitin, E Erdil, N Karani, KC Tezcan, X Chen, L Van Gool, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 33 | 2020 |
| Deep features or not: Temperature and time prediction in outdoor scenes A Volokitin, R Timofte, L Van Gool Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 29 | 2016 |
| Machine Vision for Real-Time Intraoperative Anatomic Guidance: A Proof-of-Concept Study in Endoscopic Pituitary Surgery VE Staartjes, A Volokitin, L Regli, E Konukoglu, C Serra Operative Neurosurgery, 2021 | 21 | 2021 |
| Predicting when saliency maps are accurate and eye fixations consistent A Volokitin, M Gygli, X Boix Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 18 | 2016 |
| Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions A Volokitin, I Susmelj, E Agustsson, L Van Gool, R Timofte European Conference on Computer Vision, 252-266, 2020 | 10 | 2020 |
| Neural face video compression using multiple views A Volokitin, S Brugger, A Benlalah, S Martin, B Amberg, M Tschannen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| Decomposing Image Generation Into Layout Prediction and Conditional Synthesis A Volokitin, E Konukoglu, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 8 | 2020 |
| ETH-CVL@ MediaEval 2016: Textual-Visual Embeddings and Video2GIF for Video Interestingness. AB Vasudevan, M Gygli, A Volokitin, L Van Gool MediaEval, 2016 | 5 | 2016 |
| Do Deep Neural Networks Suffer from Crowding? G Roig, A Volokitin, T Poggio Journal of Vision 18 (10), 902-902, 2018 | 3 | 2018 |
| Early Adaptation of Deep Priors in Age Prediction from Face Images M Hajibabaei, A Volokitin, R Timofte Computer Vision Workshop (ICCVW), 2017 IEEE International Conference on …, 2017 | 2 | 2017 |
| Neural face video compression using multiple views M Tschannen, A Benlalah, A Volokitin, B Amberg, S Martin, S Brugger US Patent 11,856,203, 2023 | | 2023 |
| Gradient flow encoding with distance optimization adaptive step size K Flouris, A Volokitin, G Bredell, E Konukoglu arXiv preprint arXiv:2105.05031, 2021 | | 2021 |
| Machine vision for real-time intraoperative anatomical guidance: a proof-of-concept study in endoscopic pituitary surgery VE Staartjes, AM Volokitin, L Regli, C Serra, E Konukoglu Brain and Spine 1, 100602, 2021 | | 2021 |
| Do Deep Neural Networks Suffer from Crowding? A Volokitin, G Roig, T Poggio Neural Networks, 2018 | | 2018 |
| Predicting When Eye Fixations Are Consistent A Volokitin, M Gygli, X Boix 2017 AAAI Spring Symposium Series, 2017 | | 2017 |
| Do Deep Neural Networks Suffer from Crowding? Supplementary Material A Volokitin, G Roig, T Poggio | | |
