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  • Prompt Inversion using Diffusion LLMs

    Sep 05, 2025 83 0

  • Lectures 15,16,17: Diffusion Models

    Jul 23, 2025 221 0

  • Oral Qualifying Exam - Naresh

    My Oral Qualifying Examination slides

    Jul 15, 2025 115 0

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

    Jul 15, 2025 158 0

  • Lecture 12: Intro to GenAI: Data Distribution

    Jul 10, 2025 166 0

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

    Jul 03, 2025 127 0

  • Lecture 9: Feature Detection and Extraction

    Jul 02, 2025 129 0

  • Session 1: VAE Recap

    Jun 24, 2025 82 0

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

    Jun 12, 2025 191 0

  • Lecture 5: Image Processing (Fourier Domain)

    Jun 10, 2025 204 0

  • Lecture 4: Image Processing (Image Transformations)

    Jun 05, 2025 320 1

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

    May 29, 2025 345 2

  • Lecture 1: What is an Image?

    May 29, 2025 264 0

  • Convolutional Neural Networks

    Apr 17, 2025 282 0

  • Lecture 0: Course Logistics and Syllabus

    Apr 01, 2025 499 2

  • Unlearnable Samples in Diffusion Models

    Work accepted at ACM MM 2025 🎉

    Mar 28, 2025 300 0

  • Invited talk on T2I Watermarking: UMBC

    Mar 27, 2025 266 0

  • Diffusion-guest-lecture-1

    Mar 10, 2025 602 0