Loss functions for image restoration with neural networks H Zhao, O Gallo, I Frosio, J Kautz IEEE Transactions on computational imaging 3 (1), 47-57, 2016 | 2386 | 2016 |
Importance estimation for neural network pruning P Molchanov, A Mallya, S Tyree, I Frosio, J Kautz Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 962 | 2019 |
Loss functions for neural networks for image processing H Zhao, O Gallo, I Frosio, J Kautz arXiv preprint arXiv:1511.08861, 2015 | 393 | 2015 |
Reinforcement learning through asynchronous advantage actor-critic on a gpu M Babaeizadeh, I Frosio, S Tyree, J Clemons, J Kautz arXiv preprint arXiv:1611.06256, 2016 | 324 | 2016 |
Autocalibration of MEMS accelerometers I Frosio, F Pedersini, NA Borghese IEEE Transactions on Instrumentation and Measurement 58 (6), 2034-2041, 2008 | 253 | 2008 |
Robust model-based 3d head pose estimation GP Meyer, S Gupta, I Frosio, D Reddy, J Kautz Proceedings of the IEEE international conference on computer vision, 3649-3657, 2015 | 128 | 2015 |
3D analysis of the body center of mass in rock climbing F Sibella, I Frosio, F Schena, NA Borghese Human movement science 26 (6), 841-852, 2007 | 116 | 2007 |
Pytorchfi: A runtime perturbation tool for dnns A Mahmoud, N Aggarwal, A Nobbe, JRS Vicarte, SV Adve, CW Fletcher, ... 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems …, 2020 | 106 | 2020 |
GA3C: GPU-based A3C for deep reinforcement learning M Babaeizadeh, I Frosio, S Tyree, J Clemons, J Kautz CoRR abs/1611.06256, 2016 | 89 | 2016 |
Method and device for monitoring the risks for sudden infant death syndrome and for positional plagiocephaly G Rotondo, I Frosio US Patent 8,864,665, 2014 | 83 | 2014 |
Real-time accurate circle fitting with occlusions I Frosio, NA Borghese Pattern Recognition 41 (3), 1041-1055, 2008 | 76 | 2008 |
Autocalibration of triaxial MEMS accelerometers with automatic sensor model selection I Frosio, F Pedersini, NA Borghese IEEE Sensors Journal 12 (6), 2100-2108, 2012 | 68 | 2012 |
Tackling 3d tof artifacts through learning and the flat dataset Q Guo, I Frosio, O Gallo, T Zickler, J Kautz Proceedings of the European Conference on Computer Vision (ECCV), 368-383, 2018 | 56 | 2018 |
Statistical based impulsive noise removal in digital radiography I Frosio, NA Borghese IEEE Transactions on Medical Imaging 28 (1), 3-16, 2008 | 51 | 2008 |
Statistical nearest neighbors for image denoising I Frosio, J Kautz IEEE Transactions on Image Processing 28 (2), 723-738, 2018 | 47 | 2018 |
Sim-to-real transfer of accurate grasping with eye-in-hand observations and continuous control M Yan, I Frosio, S Tyree, J Kautz arXiv preprint arXiv:1712.03303, 2017 | 46 | 2017 |
Future object trajectory predictions for autonomous machine applications R Villegas, A Troccoli, I Frosio, S Tyree, W Byeon, J Kautz US Patent 11,514,293, 2022 | 45 | 2022 |
Automatic multiscale meshing through HRBF networks S Ferrari, I Frosio, V Piuri, NA Borghese IEEE Transactions on Instrumentation and Measurement 54 (4), 1463-1470, 2005 | 44 | 2005 |
Enhancing digital cephalic radiography with mixture models and local gamma correction I Frosio, G Ferrigno, NA Borghese IEEE transactions on medical imaging 25 (1), 113-121, 2005 | 42 | 2005 |
Combined prediction and path planning for autonomous objects using neural networks B Dally, S Tyree, I Frosio, A Troccoli US Patent App. 16/268,188, 2020 | 39 | 2020 |