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)

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 001 (CVPR, 2019)

LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation. - Abol Basher; Muhammad Sarmad; Jani Boutellier (CoRR, 2021)

Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features. - Muhammad Sarmad; Mishal Fatima; Jawad Tayyub (AAAI, 2022)

Explaining Deep Neural Networks for Point Clouds Using Gradient-Based Visualisations. - Jawad Tayyub; Muhammad Sarmad; Nicolas Schönborn (ACCV (2), 2022)

Photo-Realistic Continuous Image Super-Resolution with Implicit Neural Networks and Generative Adversarial Networks. - Muhammad Sarmad; Leonardo Ruspini; Frank Lindseth (NLDL, 2022)

FullFormer: Generating Shapes Inside Shapes. - Tejaswini Medi; Jawad Tayyub; Muhammad Sarmad; Frank Lindseth; Margret Keuper (DAGM, 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., 2023)

Accurate detection of weld seams for laser welding in real-world manufacturing. - Rabia Ali; Muhammad Sarmad; Jawad Tayyub; Alexander Vogel (AI Mag., 2023)

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 (IGARSS, 2024)

DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models. - Muhammad Sarmad; Arnt-Børre Salberg; Michael Kampffmeyer (CoRR, 2025)