Usama Hasan Email & Phone Number

Remote

Lahore, Punjab, Pakistan

Working on a research collaboration project between ITU and the Electronics and Telecommunication Research Institute (ETRI) South Korea on 3D reconstruction. The group is currently focusing on color point cloud up-sampling and neural radiance field for 3D mesh reconstruction. 1. In the color point cloud up-sampling project, I actively contributed to the development of an attention-based feature extractor for patch-based point cloud up-sampling. By leveraging this approach, we aimed to enhance the quality and resolution of the up-sampled point clouds. I played a key role in designing and implementing the attention mechanism, resulting in improved accuracy and fidelity of the up-sampling process. 2. My involvement in the Neural Radiance Field (NeRF) project focused on extracting a smooth 3D mesh from volumetric representation using implicit surface information. Within this project, I actively collaborated with a team to develop innovative techniques that enabled the accurate reconstruction of complex surfaces. By leveraging the implicit surface information, we successfully obtained high-quality 3D meshes with improved smoothness and fidelity.

I actively contributed to the development of a human 3D pose estimation model and successfully mapped the motion onto the Unity engine for augmented reality applications. I utilized state-of-the-art pose estimation algorithms, such as VideoPose3D, and collaborated with a team to optimize the model's accuracy and robustness. As part of a collaborative team, I played a key role in training and deploying a 3D human mesh reconstruction model for a web application. We leveraged advanced deep learning techniques, to achieve accurate and detailed reconstructions of human meshes from 2D input data. I actively contributed to the model training process, data preprocessing, and optimizing the network's performance. Our successfully deployed web app allowed users to interactively view and manipulate 3D human models.

Lahore, Pakistan

• I trained and tested various state-of-the-art deep learning models for 3D object detection, and implemented pipelines in Pytorch, Numpy, and PCL. I utilized large-scale datasets such as the KITTI Dataset and employed evaluation metrics like 3D IoU to assess the models' performance.• I contributed to the development and deployment of a proprietary Road Surface Analysis Tool. This tool was designed to analyze road conditions and specifically detect damaged road patches.

Lahore, Pakistan

I had the opportunity to work on diverse tasks related to object tracking, detection, and object counting using the Intel RealSense D435 camera. Within this role, I applied various computer vision techniques and algorithms to track objects in real time, detect their presence, and accurately count them.

Karachi, Pakistan

A community startup that promotes Data science in Pakistan.

Master'S Degree, Data Science

Bs(Cs), Computer Science

Activities and Societies: Deep Learning Researcher, Model UN Speaker