5 citations · 12 across the 6 of their papers we have counts for
7 papers
Discovering Fatigued Movements for Virtual Character Animation
Noshaba Cheema, Rui Xu, Nam Hee Kim +5
Virtual character animation and movement synthesis have advanced rapidly during recent years, especially through a combination of extensive motion capture datasets and machine lear…
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution
Mehran Jeelani, Sadbhawna, Noshaba Cheema +3
Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have drastically improved over the last few years and shown impressive performance on synthetic…
Edge-aware Consistent Stereo Video Depth Estimation
Elena Kosheleva, Sunil Jaiswal, Faranak Shamsafar +3
Video depth estimation is crucial in various applications, such as scene reconstruction and augmented reality. In contrast to the naive method of estimating depths from images, a m…
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation
Aakash Rajpal, Noshaba Cheema, Klaus Illgner-Fehns +2
Accurate depth maps are essential in various applications, such as autonomous driving, scene reconstruction, point-cloud creation, etc. However, monocular-depth estimation (MDE) al…
Synthesis of Compositional Animations from Textual Descriptions
Anindita Ghosh, Noshaba Cheema, Cennet Oguz +2
"How can we animate 3D-characters from a movie script or move robots by simply telling them what we would like them to do?" "How unstructured and complex can we make a sentence and…
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks
Noshaba Cheema, Somayeh Hosseini, Janis Sprenger +4
Human motion capture data has been widely used in data-driven character animation. In order to generate realistic, natural-looking motions, most data-driven approaches require cons…
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data
Noshaba Cheema, Somayeh Hosseini, Janis Sprenger +4
Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion ca…