| Rethinking the inception architecture for computer vision C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 25779 | 2016 |
| Speed/accuracy trade-offs for modern convolutional object detectors J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2934 | 2017 |
| Augmentation for small object detection M Kisantal, Z Wojna, J Murawski, J Naruniec, K Cho arXiv preprint arXiv:1902.07296, 2019 | 375 | 2019 |
| Semantic instance segmentation via deep metric learning A Fathi, Z Wojna, V Rathod, P Wang, HO Song, S Guadarrama, ... arXiv preprint arXiv:1703.10277, 2017 | 219 | 2017 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 214 | 2020 |
| Attention-based extraction of structured information from street view imagery Z Wojna, AN Gorban, DS Lee, K Murphy, Q Yu, Y Li, J Ibarz 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 165 | 2017 |
| The devil is in the decoder Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ... British Machine Vision Conference 2017, BMVC 2017, 1-13, 2017 | 88 | 2017 |
| The devil is in the decoder: Classification, regression and gans Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ... International Journal of Computer Vision 127, 1694-1706, 2019 | 59 | 2019 |
| Large-scale mammography CAD with deformable conv-nets S Morrell, Z Wojna, CS Khoo, S Ourselin, JE Iglesias Image Analysis for Moving Organ, Breast, and Thoracic Images: Third …, 2018 | 12 | 2018 |
| Holistic multi-view building analysis in the wild with projection pooling Z Wojna, K Maziarz, Ł Jocz, R Pałuba, R Kozikowski, I Kokkinos Proceedings of the AAAI Conference on Artificial Intelligence, 35(4), 2870-2878, 2021 | 5 | 2021 |
| Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays K Maziarz, A Krason, Z Wojna Workshop on AI for Public Health at ICLR 2021, 2021 | 4 | 2021 |
| Training DNNs in O (1) memory with MEM-DFA using Random Matrices T Chu, K Mykitiuk, M Szewczyk, A Wiktor, Z Wojna arXiv preprint arXiv:2012.11745, 2020 | 2 | 2020 |
| A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis D Sun, TM Nguyen, RJ Allaway, J Wang, V Chung, VY Thomas, M Mason, ... JAMA network open 5 (8), e2227423-e2227423, 2022 | 1 | 2022 |
| Augmentation Inside the Network M Sypetkowski, J Jasiulewicz, Z Wojna arXiv preprint arXiv:2012.10769, 2020 | 1 | 2020 |
| G-rmi object detection A Fathi, A Korattikara, C Sun, I Fischer, J Huang, K Murphy, M Zhu, ... | 1 | 2016 |
| Fast methods in training deep neural networks for image recognition Z Wojna Master of Research Thesis, University College London, 2015 | 1 | 2015 |
| Automated Property Inspections R Kozikowski, Z Wojna, L Jocz, R Tybor, R Paluba, W Surala, P Jarosz US Patent App. 17/828,138, 2022 | | 2022 |
| Extracting structured information from 2D images Z Wojna UCL (University College London), 2020 | | 2020 |
| SpaceNet 6: Announcing the Winners https://medium.com/the-downlinq/spacenet-6-announcing-the-winners-df817712b515, 2020 | | 2020 |
Vincent VanhouckeDistinguished Scientist, GoogleVerified email at google.com
