5 citations · 12 across the 6 of their papers we have counts for
4 papers · 1 filter
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…