Vision Transformers (ViTs) Masterclass at IIT Guwahati
Join Pathway's 'Building Realtime LLM Apps' bootcamp for a live session on recent advances in computer vision with Dr. Vijay Srinivas Agneeswaran from Microsoft
About event Join us for a live keynote session in our "Building Realtime LLM Apps" bootcamp at IIT Guwahati, presented in collaboration with Pathway. This session features a deep dive into recent advances in computer vision: from Convolutional Nets to Spectral Transformers, with Dr. Vijay Srinivas Agneeswaran, Sr. Director and ML Research Leader at Microsoft.
What to Expect
- Evolution of Computer Vision Models: Insights on the evolution from convolutional networks to pre-trained transformers in image classification.
- Enhancing Computer Vision Tasks: Exploration of the role of pre-trained transformers in enhancing computer vision tasks.
- Spectral Transformers (SVT): Detailed analysis of Scattering Vision Transformers (SVT) and their impact on tasks like image classification and instance segmentation.
Speaker Profile
Dr. Vijay Srinivas Agneeswaran, Sr. Director and ML Research Leader at Microsoft, brings over two decades of expertise in AI, machine learning, and data science. Holding a Ph.D. from IIT Madras and a postdoctoral fellowship from EPFL, his specializations include computer vision, efficient transformers, and large language models. At Microsoft, he has led pioneering research in AI for C+AI data and developed spectral transformers for computer vision, showcased at NeurIPS 2023. He is a champion of responsible AI, ensuring compliance for nearly 50 AI models, and has led teams in organizations like Walmart Global Tech, Oracle, and Cognizant, attesting to his significant industry impact. Dr. Agneeswaran also holds five US patents and is a prolific contributor to tech conferences and publications.
Event Details
- When: April 15, 2024, 6:00 PM IST
- Where: Online
- Link to RSVP: Click here
Who Can Join
This workshop is offered for free-of-cost, and is open to anyone interested in the latest advancements in computer vision or Multimodal LLMs. Whether you're a student, researcher, or professional looking to enhance your understanding of computer vision and machine learning, this session offers valuable insights.
Ready to Dive into the Future of Computer Vision?
Register here to secure your spot and join us for this enlightening session.
Don't miss out on this opportunity to enhance your understanding of computer vision advancements!
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