5-Day Training on Deep Learning for Object Detection and Recognition

Event Info

• March 1st – 5th, 2021 |(Monday – Friday)
• 10:00 AM – 05:00 PM
• Venue: Hybrid (SEECS NUST / Online via Zoom)

Deep Learning has found great success in the field of image processing and computer vision and has acquired immense research attention in recent years. Object Detection and Recognition has found wide-ranging applications in traffic control, human-computer interaction, digital forensics, gesture recognition, augmented reality and visual surveillance. The use of Deep Learning in object detection has enabled the learning of deeper features and can address the problems existing in traditional architectures. To acquaint the learners with theoretical and practical knowledge of Object Detection & Recognition, and its interesting applications, a five-day workshop has been arranged by Deep Learning Lab, NCAI and SEECS. The workshop will help the participants get a deep dive into the underlying architecture and algorithms used for Object Detection and Recognition and get hands-on experience with the training of deep learning models. Become a part of this exciting workshop and learn about the interesting applications of Object Detection and Recognition using Deep Learning through enlightening lectures and training classes.  

Dr. Muhammad Shahzad received B.E. degree in electrical engineering from the National University of Sciences and Technology, Islamabad, Pakistan, M.Sc. degree in autonomous systems (robotics) from the Bonn Rhein Sieg University of Applied Sciences, Sankt Augustin, Germany, and his PhD degree on radar remote sensing & image anaylsis at the department of Signal Processing in Earth Observation (SiPEO), Technische Universität München (TUM), Munich, Germany in 2004, 2011 and 2016 respectively. Since 2016, he has been working as an Assistant Professor at SEECS, NUST. Furthermore, he is also a Co-Principal Investigator of the recently established Deep Learning Laboratory (DLL) under the umbrella of National Center of Artificial Intelligence (NCAI), Islamabad. His research interests include application of deep learning for processing unstructured/structured 3-D point clouds, optical RGBD data, and very high-resolution radar images. 

Prof. Dr. Faisal Shafait is working as Professor in the School of Electrical Engineering and Computer Science (SEECS) at the National University of Sciences and Technology (NUST), Islamabad, Pakistan. He is also an Adjunct Professor at The University of Western Australia, Perth, Australia. His research interests include machine learning and computer vision with a special emphasis on applications in document image analysis and recognition. He is the director of Deep Learning Lab (DLL) at National Center of Artificial Intelligence (NCAI), NUST, Islamabad, Pakistan. He has received the IAPR/ICDAR Young Investigator Award by the International Association of Pattern Recognition (IAPR) in 2019 and have recently been included in the list of the World’s Top 2% Scientists compiled by Stanford University.