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Outputs (216)

An Obstacle Detection Method for Visually Impaired Persons by Ground Plane Removal Using Speeded-Up Robust Features and Gray Level Co-Occurrence Matrix (2018)
Journal Article
Jindal, A., Aggarwal, N., & Gupta, S. (2018). An Obstacle Detection Method for Visually Impaired Persons by Ground Plane Removal Using Speeded-Up Robust Features and Gray Level Co-Occurrence Matrix. Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, 28(2), https://doi.org/10.1134/s1054661818020086

SLOPE: A Self Learning Optimization and Prediction Ensembler for Task Scheduling (2018)
Presentation / Conference Contribution
Kapoor, L., Jindal, A., Benslimane, A., Aujla, G. S., Chaudhary, R., Kumar, N., & Zomaya, A. Y. (2018, December). SLOPE: A Self Learning Optimization and Prediction Ensembler for Task Scheduling. Presented at 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer (2018)
Presentation / Conference Contribution
Atapour-Abarghouei, A., & Breckon, T. (2018, June). Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer. Presented at 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)., Salt Lake City, Utah, USA

Monocular depth estimation using learning-based approaches has become promising in recent years. However, most monocular depth estimators either need to rely on large quantities of ground truth depth data, which is extremely expensive and difficult t... Read More about Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer.