about us

We are a group of undergraduate students from BITS Pilani devoted to pursuing real-world problems related to computer vision and documenting innovative solutions onto the surface. Founded in 2021, our society aims to heighten the research culture at our alma mater and build a vast outreach where highly motivated researchers can work and collaborate on applied and theoretical problems. Our members have had the privilege to collaborate with BAIR - UC Berkeley, CVRL - UIUC, Cardiff University, Johannes Kepler University, Aalto University, IIT Kanpur, UT San Antonio, Wipro, CSIR-CEERI, and more.

We are always looking for collaborations!

Resources

We are looking for highly motivated individuals from BITS Pilani (or other institutes as well) interested in conducting research with the team in the field of Computer Vision. A pre-requisite knowledge of the basics of deep learning and computer vision, both theoretical and in using tools like PyTorch/Tensorflow to build programs is required.

Where to start

For a complete beginner, the linear algebra course 18.06 Linear Algebra (MIT OCW) is an excellent course to learn the basics of linear algebra, taught by the legendary Dr. Gilbert Strang, and Stat 110 at Harvard is among the best introductory courses for Probability and Statistics.

For an introductory course to Machine Learning, Andrew Ng's Coursera course along with CS229: Machine Learning is considered to be the best starting point. This can be followed by Deep Learning specialization by deeplearning.ai along with CS230: Deep Learning.

It is expected that any applicant possesses knowledge of the introductory and intermediate levels. In particular, the Stanford course CS231n: Convolutional Neural Networks for Visual Recognition OR the University of Michigan's Course Deep Learning for Computer Vision are excellent starting points.

If you believe you are ready to take on a challenge and want to gain research experience, reach out to our team!

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