Muhammad Sarmad

According to our database, Muhammad Sarmad authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Diffusion Models with Cross-Modal Data for Super-Resolution of Sentinel-2 To 2.5 Meter Resolution.

Muhammad Sarmad, Michael C. Kampffmeyer, Arnt-Børre Salberg

Proceedings of the IGARSS 2024, 2024

2023

Accurate detection of weld seams for laser welding in real-world manufacturing.

Rabia Ali, Muhammad Sarmad, Jawad Tayyub, Alexander Vogel

AI Mag., December, 2023

SIT-SR 3D: Self-supervised slice interpolation via transfer learning for 3D volume super-resolution.

Muhammad Sarmad, Leonardo Ruspini, Frank Lindseth

Pattern Recognit. Lett., February, 2023

FullFormer: Generating Shapes Inside Shapes.

Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Photo-Realistic Continuous Image Super-Resolution with Implicit Neural Networks and Generative Adversarial Networks.

Muhammad Sarmad, Leonardo Ruspini, Frank Lindseth

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Explaining Deep Neural Networks for Point Clouds Using Gradient-Based Visualisations.

Jawad Tayyub, Muhammad Sarmad, Nicolas Schönborn

Proceedings of the Computer Vision - ACCV 2022, 2022

Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features.

Muhammad Sarmad, Mishal Fatima, Jawad Tayyub

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation.

Abol Basher, Muhammad Sarmad, Jani Boutellier

CoRR, 2021

2019

RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion.

Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network.

Juan Luis Gonzalez, Muhammad Sarmad, Hyunjoo Jenny Lee, Munchurl Kim

CoRR, 2018