Jameel Malik

According to our database, Jameel Malik authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction from a Single Depth Map.

Ahmed Tawfik Aboukhadra, Jameel Malik, Nadia Robertini, Ahmed Elhayek, Didier Stricker

CoRR, 2023

THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision.

Ahmed Tawfik Aboukhadra, Jameel Malik, Ahmed Elhayek, Nadia Robertini, Didier Stricker

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

HandVoxNet++: 3D Hand Shape and Pose Estimation Using Voxel-Based Neural Networks.

Jameel Malik, Soshi Shimada, Ahmed Elhayek, Sk Aziz Ali, Christian Theobalt, Vladislav Golyanik, Didier Stricker

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Graph-Based Hand-Object Meshes and Poses Reconstruction With Multi-Modal Input.

Murad Almadani, Ahmed Elhayek, Jameel Malik, Didier Stricker

IEEE Access, 2021

2020

Real-Time Energy Efficient Hand Pose Estimation: A Case Study.

Mhd Rashed Al Koutayni, Vladimir Rybalkin, Jameel Malik, Ahmed Elhayek, Christian Weis, Gerd Reis, Norbert Wehn, Didier Stricker

Sensors, 2020

DeepAirSig: End-to-End Deep Learning Based in-Air Signature Verification.

Jameel Malik, Ahmed Elhayek, Suparna Guha, Sheraz Ahmed, Amna Gillani, Didier Stricker

IEEE Access, 2020

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map.

Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

WHSP-Net: A Weakly-Supervised Approach for 3D Hand Shape and Pose Recovery from a Single Depth Image.

Jameel Malik, Ahmed Elhayek, Didier Stricker

Sensors, 2019

Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data.

Onorina Kovalenko, Vladislav Golyanik, Jameel Malik, Ahmed Elhayek, Didier Stricker

Sensors, 2019

Structure from Articulated Motion: An Accurate and Stable Monocular 3D Reconstruction Approach without Training Data.

Onorina Kovalenko, Vladislav Golyanik, Jameel Malik, Ahmed Elhayek, Didier Stricker

CoRR, 2019

Simple and effective deep hand shape and pose regression from a single depth image.

Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari, Didier Stricker

Comput. Graph., 2019

2018

3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor.

Jameel Malik, Ahmed Elhayek, Sheraz Ahmed, Faisal Shafait, Muhammad Imran Malik, Didier Stricker

Sensors, 2018

Structure-Aware 3D Hand Pose Regression from a Single Depth Image.

Jameel Malik, Ahmed Elhayek, Didier Stricker

Proceedings of the Virtual Reality and Augmented Reality, 2018

Fully Automatic Multi-person Human Motion Capture for VR Applications.

Ahmed Elhayek, Onorina Kovalenko, Pramod Murthy, Jameel Malik, Didier Stricker

Proceedings of the Virtual Reality and Augmented Reality, 2018

DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth.

Jameel Malik, Ahmed Elhayek, Fabrizio Nunnari, Kiran Varanasi, Kiarash Tamaddon, Alexis Héloir, Didier Stricker

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image.

Jameel Malik, Ahmed Elhayek, Didier Stricker

Proceedings of the 2017 International Conference on 3D Vision, 2017