| Synthesis of compositional animations from textual descriptions A Ghosh, N Cheema, C Oguz, C Theobalt, P Slusallek Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 180 | 2021 |
| Predicting mid-air interaction movements and fatigue using deep reinforcement learning N Cheema, LA Frey-Law, K Naderi, J Lehtinen, P Slusallek, ... Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 57 | 2020 |
| Stylistic Locomotion Modeling with Conditional Variational Autoencoder. H Du, E Herrmann, J Sprenger, N Cheema, S Hosseini, K Fischer, ... Eurographics (Short Papers), 9-12, 2019 | 30 | 2019 |
| Expanding synthetic real-world degradations for blind video super resolution M Jeelani, N Cheema, K Illgner-Fehns, P Slusallek, S Jaiswal Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 15 | 2023 |
| High-resolution synthetic rgb-d datasets for monocular depth estimation A Rajpal, N Cheema, K Illgner-Fehns, P Slusallek, S Jaiswal Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 15 | 2023 |
| Dilated temporal fully-convolutional network for semantic segmentation of motion capture data N Cheema, S Hosseini, J Sprenger, E Herrmann, H Du, K Fischer, ... Proceedings of the Conference on Computer Animation, 5-6, 2018, 2018 | 10 | 2018 |
| Text-based motion synthesis with a hierarchical two-stream rnn A Ghosh, N Cheema, C Oguz, C Theobalt, P Slusallek ACM SIGGRAPH 2021 Posters, 1-2, 2021 | 6 | 2021 |
| Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks N Cheema, S Hosseini, J Sprenger, E Herrmann, H Du, K Fischer, ... Eurographics (Short Papers), 69-72, 2019 | 5 | 2019 |
| Motion Data and Model Management for Applied Statistical Motion Synthesis. E Herrmann, H Du, A Antakli, D Rubinstein, R Schubotz, J Sprenger, ... STAG, 79-88, 2019 | 4 | 2019 |
| Discovering Fatigued Movements for Virtual Character Animation N Cheema, R Xu, NH Kim, P Hämäläinen, V Golyanik, M Habermann, ... SIGGRAPH Asia 2023 Conference Papers, 1-12, 2023 | 2 | 2023 |
| Adaptive gaussian mixture trajectory model for physical model control using motion capture data E Herrmann, H Du, N Cheema, J Sprenger, S Hosseini, K Fischer, ... Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and …, 2019 | 2 | 2019 |
| Edge-aware Consistent Stereo Video Depth Estimation E Kosheleva, S Jaiswal, F Shamsafar, N Cheema, K Illgner-Fehns, ... arXiv preprint arXiv:2305.02645, 2023 | 1 | 2023 |
| Embodied online dance learning objectives of CAROUSEL+ K Mitchell, B Koniaris, M Tamariz, J Kennedy, N Cheema, E Mekler, ... 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2021 | 1 | 2021 |
| Variational Interpolating Neural Networks for Locomotion Synthesis J Sprenger, H Du, N Cheema, K Fischer, P Slusallek DHM2020, 71-81, 2020 | 1 | 2020 |
| Optimum statistical representation obtained from an intermediate feature level of the visual hierarchy N Cheema, L Fridman, R Rosenholtz, C Zetzsche Proceedings of the 13th Biannual Conference of the German Cognitive Science …, 2016 | 1* | 2016 |
| Neurobiologically realistic model of statistical pooling in peripheral vision N Cheema, L Fridman, R Rosenholtz, C Zetzsche | 1 | |
| A Comparative Study of PnP and Learning Approaches to Super-Resolution SZ Taray¹, SP Jaiswall, S Sharma¹, N Cheema, K Illgner-Fehns¹, ... Pattern Recognition: 43rd DAGM German Conference, DAGM GCPR 2021, Bonn …, 2022 | | 2022 |
| A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting SZ Taray, SP Jaiswal, S Sharma, N Cheema, K Illgner-Fehns, P Slusallek, ... DAGM German Conference on Pattern Recognition, 313-327, 2021 | | 2021 |
| Modeling the" Gorilla Arm" Effect with Reinforcement Learning N Cheema, LA Frey-Law, K Naderi, J Lehtinen, P Slusallek, ... | | 2021 |
| Towards Fatigue Modeling for Locomotion Tasks RUI XU, N CHEEMA, E HERRMANN, P SLUSALLEK | | 2021 |
Philipp SlusallekProfessor for Computer Graphics, Saarland University & DFKI, Saarland Informatics CampusПотвърден имейл адрес: cs.uni-saarland.de
