Schedule

2024 Fall

• 11/~/2024:

  • Presenter: Ali

  • Topic:

• 10/25/2024:

  • Presenter: Eric

  • Topic: 3D Gaussian Splatting

• 10/11/2024:

  • Presenter: Mengyu

  • Topic: NeRF recap & Plenoxels: radiance fields without neural networks

• 9/27/2024:

  • Presenter: Xi Chen

  • Topic: Training deep learning based denoisers without ground truth data

2024 Spring

• 4/12/2024:

  • Presenter: Shubhangi Ghosh

• 3/22/2024:

  • Presenter: Xi Chen

  • Paper: Diffusion

• 3/8/2024:

  • Presenter: Prof. Jalali

  • Paper: Diffusion recap

• 2/23/2024:

  • Presenter: Ali Zafari

  • Paper: End-to-end Optimized Image Compression

• 2/16/2024:

  • Presenter: Dragon Yuan

  • Paper: Diffusion

• 2/9/2024:

  • Presenter: Prof. Jalali

  • Paper: More information about NERF

• 2/2/2024:

  • Presenter: Eric

  • Paper: GPT-1

• 1/19/2024 & 1/26/2024:

  • Presenter: Navid

  • Paper: Vision Transformers provably learn spatial structure

• 1/12/2024:

  • Presenter: Xi Chen

  • Paper: Representing Scenes as Neural Radiance Fields for View Synthesis

2023 Fall

• 12/01/2023:

  • Presenter: Eric

  • Paper: SwinIR

• 11/17/2023:

  • Presenter: Mengyu

  • Paper: Masked autoencoders

• 11/10/2023:

  • Presenter: Zhewen

  • Paper: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

• 11/3/2023:

  • Presenter: Prof. Jalali

  • Discussion about previous sessions

• 10/27/2023: 

  • no session

• 10/20/2023:

  • Presenter: Prof. Maleki

  • Wrap-up Transformer

• 10/13/2023:

  • Presenter: Xi Chen

  • Deep Residual Learning for Image Recognition, Kaiming He et al.

• 10/06/2023:

  • Presenter: Eric

  • Paper: normalization in transformer

    • Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

    • Layer Normalization

    • Group Normalization

• 09/29/2023:

  • Presenter: Prof. Arian Maleki

  • Overview of Vision Transformer (ViT)

• 09/22/2023:

  • Presenter: Prof. Arian Maleki

  • Overview of Vision Transformer (ViT)

  • Paper: "Attention is all you need", NeurIPS 2017

• 09/15/2023:

  • Presenter: Mengyu Zhao

  • Paper: "Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems", Mengyu Zhao, Shirin Jalali

2023 Summer

• 08/02/2023:

  • Presenter: Xi Chen

  • Paper: "Pseudoinverse-Guided Diffusion Models for Inverse Problems", ICLR 2023, Jiaming Song, Arash Vahdat, Morteza Mardani, Jan Kautz

  • Silde

• 07/26/2023:

  • Presenter: Prof. Shirin Jalali

  • Paper: "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models", ICLR 2022, Yang Song, Liyue Shen, Lei Xing and Stefano Ermon

• 07/19/2023:

  • Presenter: Mengyu Zhao

  • Paper: "Denoising Diffusion Restoration Models", NeurIPS 2022, Bahjat Kawar, Michael Elad, Stefano Ermon and Jiaming Song

  • Slide

• 07/12/2023:

  • Presenter: Zhewen Hou

  • Paper: "Denoising Diffusion Probabilistic Models", NeurIPS 2020, Jonathan Ho, Ajay Jain and Pieter Abbeel

  • Slide

• 07/05/2023:

  • Presenter: Xi Chen

  • Paper: "Learning Deep CNN Denoiser Prior for Image Restoration", CVPR 2017, Kai Zhang, Wangmeng Zuo, Shuhang Gu and Lei Zhang

  • Slide

• 06/28/2023:

  • Presenter: Xi Chen

  • Paper: "Deep Image Prior", CVPR 2018, Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky

  • Slide