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무함맏전버버애브
I am an experienced Deep Learning Engineer with a strong background in advanced algorithms and applications.
經歷
• Developed a real-time RGB-T pedestrian detection model by collecting and annotating datasets from four distinct scenes, optimizing SparseInst for accurate indoor mask generation. • Created a novel vehicle pose estimation method using language-guided supervision, significantly improving keypoint detection and 6DoF pose estimation on the ApolloCar3D dataset with CLIP-pretrained encoders and the EPnP algorithm. • Collaborated with lab members by assisting in dataset collection, academic writing, and conference submissions, contributing to the successful completion of multiple research projects.
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• Developed small to medium-sized autonomous robotic vehicles. • Collected and annotated 3D data from LiDAR sensors for object detection. • Trained models to detect pedestrians and vehicles using LiDAR data.
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• Conducted code testing and quality improvements in Python, and migrated existing code from TensorFlow to PyTorch. • Contributed to AI-driven drug discovery by integrating AI technologies, such as NLP, with biological and chemical data, enhancing the drug discovery process.
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• Researched, implemented, and developed state-of-the-art deep learning models, theories, and technologies. • Trained generative models on custom datasets and presented findings from relevant research papers. • Collaborated with HW/SW engineers to accelerate AI algorithms for enhanced performance and low power consumption.
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學歷
Advisor: Seungryul Baek Thesis title: Vehicle Pose Estimation Using Language Supervision • Developed a novel approach for vehicle pose estimation by leveraging language-guided supervision, which enhanced keypoint detection and 6DoF pose estimation on the ApolloCar3D dataset using CLIP-pretrained image and text encoders. The method improved keypoint detection precision through the integration of language prompts with keypoint embeddings and applied the EPnP algorithm for accurate 3D scene reconstruction.
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I earned a Bachelor's degree in Computer Science and Mathematics Scinece from Ulsan National Institute of Science and Technology (UNIST), where I focused on software development, algorithms, machine learning, and advanced mathematical concepts.
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活動
最近活動
獲獎 3
證照 3
專案 1
수상
International Student Scholarship
Lotte Foundation · 2022년 9월
• Given to an applicants with superior qualifications by the Lotte Foundation.
자격증
Apply Generative Adversarial Networks (GANs)
2021년 11월
Course1: Understand GAN components, build basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN and build conditional GAN Course 2: Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques Course 3: Use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation
자격증
Neural Networks and Deep Learning
2021년 11월
The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, levels up your technical career, and take the definitive step in the world of AI.
자격증
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
2021년 11월
The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, levels up your technical career, and take the definitive step in the world of AI.
프로젝트
TurtleBot
2021년 3월 - 2021년 6월 · 4개월
Programming TurtleBot to do certaing task using YOLO, Lidar and Ros autonomously. The main purpose was search and pick up the bottle from different arenas.