Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data. - Noshaba Cheema; Somayeh Hosseini; Janis Sprenger; Erik Herrmann; Han Du; Klaus Fischer 001; Philipp Slusallek (Symposium on Computer Animation (Posters), 2018)

Motion Data and Model Management for Applied Statistical Motion Synthesis. - Erik Herrmann; Han Du; André Antakli; Dmitri Rubinstein; René Schubotz; Janis Sprenger; Somayeh Hosseini; Noshaba Cheema; Ingo Zinnikus; Martin Manns; Klaus Fischer 001; Philipp Slusallek (STAG, 2019)

Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks. - Noshaba Cheema; Somayeh Hosseini; Janis Sprenger; Erik Herrmann; Han Du; Klaus Fischer 001; Philipp Slusallek (Eurographics (Short Papers), 2019)

Stylistic Locomotion Modeling with Conditional Variational Autoencoder. - Han Du; Erik Herrmann; Janis Sprenger; Noshaba Cheema; Somayeh Hosseini; Klaus Fischer 001; Philipp Slusallek (Eurographics (Short Papers), 2019)

Learning a Continuous Control of Motion Style from Natural Examples. - Janis Sprenger; Han Du; Noshaba Cheema; Erik Herrmann; Klaus Fischer 001; Philipp Slusallek (MIG, 2019)

Adaptive gaussian mixture trajectory model for physical model control using motion capture data. - Erik Herrmann; Han Du; Noshaba Cheema; Janis Sprenger; Somayeh Hosseini; Klaus Fischer 001; Philipp Slusallek (I3D, 2019)

Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning. - Noshaba Cheema; Laura A. Frey-Law; Kourosh Naderi; Jaakko Lehtinen; Philipp Slusallek; Perttu Hämäläinen (CHI, 2020)

A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting. - Samim Zahoor Taray; Sunil Prasad Jaiswal; Shivam Sharma; Noshaba Cheema; Klaus Illgner-Fehns; Philipp Slusallek; Ivo Ihrke (GCPR, 2021)

Synthesis of Compositional Animations from Textual Descriptions. - Anindita Ghosh; Noshaba Cheema; Cennet Oguz; Christian Theobalt; Philipp Slusallek (ICCV, 2021)

Text-Based Motion Synthesis with a Hierarchical Two-Stream RNN. - Anindita Ghosh; Noshaba Cheema; Cennet Oguz; Christian Theobalt; Philipp Slusallek (SIGGRAPH Posters, 2021)

Embodied online dance learning objectives of CAROUSEL+. - Kenny Mitchell; Babis Koniaris; Monica Tamariz; Jessie Kennedy; Noshaba Cheema; Elisa D. Mekler; Pieter van der Linden; Erik Herrmann; Perttu Hämäläinen; Iain McGregor; Philipp Slusallek; Carmen Mac Williams (VR Workshops, 2021)

Expanding Synthetic Real-World Degradations for Blind Video Super Resolution. - Mehran Jeelani; Sadbhawna; Noshaba Cheema; Klaus Illgner-Fehns; Philipp Slusallek; Sunil Prasad Jaiswal (CVPR Workshops, 2023)

High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation. - Aakash Rajpal; Noshaba Cheema; Klaus Illgner-Fehns; Philipp Slusallek; Sunil Prasad Jaiswal (CVPR Workshops, 2023)

Discovering Fatigued Movements for Virtual Character Animation. - Noshaba Cheema; Rui Xu; Nam Hee Kim; Perttu Hämäläinen; Vladislav Golyanik; Marc Habermann; Christian Theobalt; Philipp Slusallek (SIGGRAPH Asia, 2023)

Edge-Aware Consistent Stereo Video Depth Estimation. - Elena Kosheleva; Sunil Prasad Jaiswal; Faranak Shamsafar; Noshaba Cheema; Klaus Illgner-Fehns; Philipp Slusallek (ECCV Workshops (9), 2024)