41 citations · 42 across the 6 of their papers we have counts for
6 papers
NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results
Varun Jain, Zongwei Wu, Quan Zou +5
This paper presents a comprehensive review of the 1st Challenge on Video Quality Enhancement for Video Conferencing held at the NTIRE workshop at CVPR 2025, and highlights the prob…
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…
Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case
Faranak Shamsafar, Sunil Jaiswal, Benjamin Kelkel +2
Printed circuit boards (PCBs) are essential components of electronic devices, and ensuring their quality is crucial in their production. However, the vast variety of components and…
CNN-based driving of block partitioning for intra slices encoding
Franck Galpin, Fabien Racapé, Sunil Jaiswal +3
This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the block partitioning in in…