| 3d human pose estimation: A review of the literature and analysis of covariates N Sarafianos, B Boteanu, B Ionescu, IA Kakadiaris Computer Vision and Image Understanding 152, 1-20, 2016 | 370 | 2016 |
| Deep Imbalanced Attribute Classification using Visual Attention Aggregation N Sarafianos, X Xu, IA Kakadiaris European Conference on Computer Vision, Munich, Germany, Sept. 8 - 14, 2018, 2018 | 243 | 2018 |
| Adversarial representation learning for text-to-image matching N Sarafianos, X Xu, IA Kakadiaris Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 233 | 2019 |
| Neural-gif: Neural generalized implicit functions for animating people in clothing G Tiwari, N Sarafianos, T Tung, G Pons-Moll Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 119 | 2021 |
| Pose-ndf: Modeling human pose manifolds with neural distance fields G Tiwari, D Antić, JE Lenssen, N Sarafianos, T Tung, G Pons-Moll European Conference on Computer Vision, 572-589, 2022 | 84 | 2022 |
| Curriculum Learning for Multi-Task Classification of Visual Attributes N Sarafianos, T Giannakopoulos, C Nikou, IA Kakadiaris arXiv preprint arXiv:1708.08728, 2017 | 60 | 2017 |
| Curriculum learning of visual attribute clusters for multi-task classification N Sarafianos, T Giannakopoulos, C Nikou, IA Kakadiaris Pattern Recognition 80, 94-108, 2018 | 47 | 2018 |
| Adaptive SVM+: Learning with privileged information for domain adaptation N Sarafianos, M Vrigkas, IA Kakadiaris Proceedings of the IEEE international conference on computer vision …, 2017 | 36 | 2017 |
| Audio-visual speaker diarization using fisher linear semi-discriminant analysis N Sarafianos, T Giannakopoulos, S Petridis Multimedia Tools and Applications 75, 115-130, 2016 | 25 | 2016 |
| Spams: Structured implicit parametric models P Palafox, N Sarafianos, T Tung, A Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 24 | 2022 |
| Show me your body: Attribute classification from still images IA Kakadiaris, N Sarafianos, C Nikou International Conference on Image Processing (ICIP), 3156-3160, 2016 | 23* | 2016 |
| Semi-supervised synthesis of high-resolution editable textures for 3d humans B Chaudhuri, N Sarafianos, L Shapiro, T Tung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 22 | 2021 |
| Free-viewpoint rgb-d human performance capture and rendering P Nguyen-Ha, N Sarafianos, C Lassner, J Heikkilä, T Tung European Conference on Computer Vision, 473-491, 2022 | 16 | 2022 |
| Bodymap: Learning full-body dense correspondence map A Ianina, N Sarafianos, Y Xu, I Rocco, T Tung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 15 | 2022 |
| On improving the generalization of face recognition in the presence of occlusions X Xu, N Sarafianos, IA Kakadiaris Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 14 | 2020 |
| Predicting Privileged Information For Height Estimation N Sarafianos, C Nikou, IA Kakadiaris International Conference on Pattern Recognition (ICPR), 3115--3120, 2016 | 13 | 2016 |
| Nsf: Neural surface fields for human modeling from monocular depth Y Xue, BL Bhatnagar, R Marin, N Sarafianos, Y Xu, G Pons-Moll, T Tung Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
| VIVE3D: Viewpoint-independent video editing using 3D-aware GANs A Frühstück, N Sarafianos, Y Xu, P Wonka, T Tung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Diffavatar: Simulation-ready garment optimization with differentiable simulation Y Li, H Chen, E Larionov, N Sarafianos, W Matusik, T Stuyck Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Fusing active orientation models and mid-term audio features for automatic depression estimation C Smailis, N Sarafianos, T Giannakopoulos, S Perantonis Proceedings of the 9th ACM International Conference on PErvasive …, 2016 | 7 | 2016 |
Ioannis A. KakadiarisHugh Roy and Lillie Cranz Cullen Distinguished University Professor of Computer Science, ElectricalVerified email at uh.edu
