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Noshaba Cheema
Noshaba Cheema
Max-Planck Institute for Informatics, DFKI, Saarland Informatics Campus
Verified email at mpi-inf.mpg.de - Homepage
Title
Cited by
Cited by
Year
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
972021
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
482020
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
242019
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
102018
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
52023
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
52019
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
42021
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
42019
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
32023
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
22019
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
12021
Variational Interpolating Neural Networks for Locomotion Synthesis
L Hanson
DHM2020: Proceedings of the 6th International Digital Human Modeling …, 2020
12020
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
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
2023
Edge-aware Consistent Stereo Video Depth Estimation
E Kosheleva, S Jaiswal, F Shamsafar, N Cheema, K Illgner-Fehns, ...
arXiv preprint arXiv:2305.02645, 2023
2023
Learning Symmetric Locomotion using Cumulative Fatigue for Reinforcement Learning
R Xu, N Cheema, E Herrmann, P Hämäläinen, P Slusallek
2021
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
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