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  • CSE 555: Diffusion Models

  • Lectures 15,16,17: Diffusion Models

  • Oral Qualifying Exam - Naresh

    My Oral Qualifying Examination slides

  • Lectures 13,14 : AutoEncoders, VAEs, CVAEs, GANs, CGANs

  • Lecture 12: Intro to GenAI: Data Distribution

  • Lecture 10,11: Learning-based (Data driven) Computer Vision with Neural Networks

  • Lecture 9: Feature Detection and Extraction

  • Session 1: VAE Recap

  • Lectures 6,7,8: Stereo Vision and Depth Estimation

  • Lecture 5: Image Processing (Fourier Domain)

  • Lecture 4: Image Processing (Image Transformations)

  • Lectures 2,3 : Image Formation and the Pinhole Camera

  • Lecture 1: What is an Image?

    naresh-ub.github.io/cvip/lectures/lecture-1.html

  • Convolutional Neural Networks

  • Lecture 0: Course Logistics and Syllabus

    naresh-ub.github.io/cvip/syllabus.html

  • Unlearnable Samples in Diffusion Models

    Work accepted at ACM MM 2025 🎉

  • Your Text Encoder can be an Object-Level Watermarking Controller

    Work accepted at ICCV 2025 🎉

  • Diffusion-guest-lecture-1