Noshaba Cheema

Orcid: 0000-0003-1275-4080

Affiliations:
  • Max Planck Institute for Informatics, Saarbrücken, Germany
  • German Research Centre for Artificial Intelligence (DFKI), Saarbrücken, Germany


According to our database1, Noshaba Cheema authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Edge-aware Consistent Stereo Video Depth Estimation.
CoRR, 2023

Discovering Fatigued Movements for Virtual Character Animation.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Expanding Synthetic Real-World Degradations for Blind Video Super Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
Embodied online dance learning objectives of CAROUSEL+.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

Text-Based Motion Synthesis with a Hierarchical Two-Stream RNN.
Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

Synthesis of Compositional Animations from Textual Descriptions.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Adaptive gaussian mixture trajectory model for physical model control using motion capture data.
Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2019

Learning a Continuous Control of Motion Style from Natural Examples.
Proceedings of the Motion, Interaction and Games, 2019

Stylistic Locomotion Modeling with Conditional Variational Autoencoder.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

Motion Data and Model Management for Applied Statistical Motion Synthesis.
Proceedings of the Italian Chapter Conference 2019, 2019

2018
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data.
Proceedings of the Poster Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2018


  Loading...