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Justin Johnson is an Assistant Professor in the Computer Science and Engineering department at the University of Michigan. He is a prominent researcher in artificial intelligence, with a focus on computer vision, machine learning, and deep learning. His work often involves developing new neural network architectures and training methodologies for tasks like image generation, image understanding, and 3D vision. Before joining the University of Michigan, he was a Visiting Faculty Researcher at Google AI and a Research Scientist at Facebook AI Research (FAIR). He completed his PhD at Stanford University, advised by Fei-Fei Li. Justin is known for his contributions to projects like PyTorch, Caffe2, and influential research papers in areas such as neural style transfer and visual reasoning.
Justin Johnson's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-authored the influential paper 'Perceptual Losses for Real-Time Style Transfer and Super-Resolution', significantly advancing the field of generative art and image manipulation using deep learning.
Played a significant role in the early development and popularization of PyTorch, a leading open-source machine learning library, making deep learning more accessible to researchers and developers.
Led the creation of the CLEVR dataset, a diagnostic benchmark for visual reasoning that has spurred significant research in understanding complex visual scenes and language.
Received the prestigious NSF CAREER Award for his research contributions and educational plans in computer vision and machine learning.
Consistently publishes highly cited research papers at premier AI conferences such as CVPR, ICCV, NeurIPS, and ICML, shaping the direction of AI research.
Washington State University
Shadle Park High School
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BudsFeed is a digital media platform dedicated to providing up-to-date news, information, product reviews, and educational content related to the cannabis industry. It serves as a resource for consumers, enthusiasts, and industry professionals seeking to stay informed about cannabis culture, legalization, health, and lifestyle.
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