Rl-gan-net: A reinforcement learning agent controlled gan network for real-time point cloud shape completion M Sarmad, HJ Lee, YM Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 206 | 2019 |
Lightsal: Lightweight sign agnostic learning for implicit surface representation A Basher, M Sarmad, J Boutellier arXiv preprint arXiv:2103.14273, 2021 | 10 | 2021 |
Photo-realistic continuous image super-resolution with implicit neural networks and generative adversarial networks M Sarmad, L Ruspini, F Lindseth Proceedings of the Northern Lights Deep Learning Workshop 3, 2022 | 4 | 2022 |
Explaining deep neural networks for point clouds using gradient-based visualisations J Tayyub, M Sarmad, N Schönborn Proceedings of the Asian Conference on Computer Vision, 2123-2138, 2022 | 3 | 2022 |
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition M Sarmad, HJ Lee, YM Kim | 3 | 2019 |
SIT-SR 3D: Self-supervised slice interpolation via transfer learning for 3D volume super-resolution M Sarmad, LC Ruspini, F Lindseth Pattern Recognition Letters 166, 97-104, 2023 | 2 | 2023 |
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features M Sarmad, M Fatima, J Tayyub Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12145 …, 2022 | 1 | 2022 |
Generating 3D images of material microstructures from a single 2D image: a denoising diffusion approach J Phan, M Sarmad, L Ruspini, G Kiss, F Lindseth Scientific Reports 14 (1), 1-12, 2024 | | 2024 |
and Margret Keuper¹, 4 1 University of Siegen, Siegen, Germany tejaswini. medi@ uni-siegen. de 2 Endress+ Hauser, Maulburg, Germany T Medi¹, J Tayyub, M Sarmad, F Lindseth Pattern Recognition: 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg …, 2024 | | 2024 |
Accurate detection of weld seams for laser welding in real‐world manufacturing R Ali, M Sarmad, J Tayyub, A Vogel AI Magazine 44 (4), 431-441, 2023 | | 2023 |
FullFormer: Generating Shapes Inside Shapes T Medi, J Tayyub, M Sarmad, F Lindseth, M Keuper DAGM German Conference on Pattern Recognition, 147-162, 2023 | | 2023 |
CORE-SCALE ROCK TYPING USING CONVOLUTIONAL NEURAL NETWORKS FOR RESERVOIR CHARACTERIZATION IN THE PETROLEUM INDUSTRY M Sarmad, J Phan, L Ruspini, G Kiss, F Lindseth International Multidisciplinary Scientific GeoConference: SGEM 23 (1.1), 653-663, 2023 | | 2023 |
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network JL Gonzalez, M Sarmad, HJ Lee, M Kim arXiv preprint arXiv:1810.03155, 2018 | | 2018 |
Analyzing Antecedents of Health Care Workers’ Performance Through Emotional Labor and Mediating Role of Emotional Exhaustion M Fatima, M Sarmad, S Bano, M Shahid, R Sajid, A Azhar | | |