| Deformable gans for pose-based human image generation A Siarohin, E Sangineto, S Lathuiliere, N Sebe Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 157 | 2018 |
| A comprehensive analysis of deep regression S Lathuilière, P Mesejo, X Alameda-Pineda, R Horaud IEEE transactions on pattern analysis and machine intelligence, 2019 | 77 | 2019 |
| Animating arbitrary objects via deep motion transfer A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 48 | 2019 |
| Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation A Pilzer, S Lathuilière, N Sebe, E Ricci IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 36 | 2019 |
| First Order Motion Model for Image Animation A Siarohin, S Lathuilière, S Tulyakov, E Ricci, N Sebe Advances in Neural Information Processing Systems 32, 7135--7145, 2019 | 28 | 2019 |
| Deep mixture of linear inverse regressions applied to head-pose estimation S Lathuilière, R Juge, P Mesejo, R Muñoz-Salinas, R Horaud Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 24 | 2017 |
| Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction S Lathuilière, B Massé, P Mesejo, R Horaud Pattern Recognition Letters 118, 61-71, 2019 | 12 | 2019 |
| Depression severity estimation from multiple modalities EA Stepanov, S Lathuiliere, SA Chowdhury, A Ghosh, RL Vieriu, N Sebe, ... 2018 IEEE 20th International Conference on e-Health Networking, Applications …, 2018 | 10 | 2018 |
| Deepgum: Learning deep robust regression with a gaussian-uniform mixture model S Lathuilière, P Mesejo, X Alameda-Pineda, R Horaud Proceedings of the European Conference on Computer Vision (ECCV), 202-217, 2018 | 10 | 2018 |
| Appearance and pose-conditioned human image generation using deformable gans A Siarohin, S Lathuilière, E Sangineto, N Sebe IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 9 | 2019 |
| Recognition of group activities in videos based on single-and two-person descriptors S Lathuilière, G Evangelidis, R Horaud 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 217-225, 2017 | 6 | 2017 |
| Attention-based Fusion for Multi-source Human Image Generation S Lathuilière, E Sangineto, A Siarohin, N Sebe The IEEE Winter Conference on Applications of Computer Vision, 439-448, 2020 | 3 | 2020 |
| Budget-Aware Adapters for Multi-Domain Learning R Berriel, S Lathuilière, M Nabi, T Klein, T Oliveira-Santos, N Sebe, ... International Conference on Computer Vision (ICCV 2019), 2019 | 3 | 2019 |
| Online Adaptation through Meta-Learning for Stereo Depth Estimation Z Zhang, S Lathuilière, A Pilzer, N Sebe, E Ricci, J Yang arXiv preprint arXiv:1904.08462, 2019 | 3 | 2019 |
| Camera adversarial transfer for unsupervised person re-identification G Delorme, X Alameda-Pineda, S Lathuilière, R Horaud arXiv preprint arXiv:1904.01308, 2019 | 3 | 2019 |
| Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View B Massé, S Lathuilière, P Mesejo, R Horaud IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2019 | 3 | 2019 |
| Deep reinforcement learning for audio-visual gaze control S Lathuilière, B Massé, P Mesejo, R Horaud 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 3 | 2018 |
| Semantic Regions Recognition in UAV Images Sequence S Lathuilière, H Vu, TL Le, TH Tran, DT Hung Knowledge and Systems Engineering, 313-324, 2015 | 2 | 2015 |
| Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks A Pilzer, S Lathuilière, D Xu, MM Puscas, E Ricci, N Sebe IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 1 | 2019 |
| Learning Visual Voice Activity Detection with an Automatically Annotated Dataset S Guy, S Lathuilière, P Mesejo, R Horaud arXiv preprint arXiv:2009.11204, 2020 | | 2020 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
