This page contains information about the previous and upcoming club activities as well as accompanying content from our past activities.
The one where we breakdown foundational models and paper to a high-school level math and programming.
| Paper |
Slides |
Video |
Date |
Run By |
| Attention is All You Need |
Slides |
Video |
December 1, 2023 |
Shivesh Prakash, Aryaman Bansal |
| TRACE: 5D Temporal Regression |
Slides |
Video |
March 20, 2024 |
Shivesh Prakash, Aryaman Bansal |
| Denoising Diffusion Probabilistic Models |
Slides |
Video |
August 3, 2024 |
Alex Rosen |
| Graph Neural Networks |
Slides |
Video |
August 10, 2024 |
Aryaman Bansal, Shivesh Prakash |
| Reinforcement Learning |
Slides |
Video |
August 17, 2024 |
Vedant Swamy |
| Neural Radiance Fields |
Slides |
Video |
September 21, 2024 |
Shivesh Prakash, Vedant Swamy |
| Object Detection |
Slides |
Video |
November 2, 2024 |
Prashanth Reddy |
The one where we meetup to discuss computer vision papers, most of the folks attending this are expected to have read the paper or looked over it earlier. Recently we though it would be nice to get together and talk about CVPR 2023 papers.
| Paper |
Notes |
Video |
Date |
Run By |
| Perceiver: General Perception with Iterative Attention |
Notes |
None |
June 13, 2023 |
Rishit Dagli |
| Handwritten Digit Recognition with a Back-Propagation Network |
Notes |
None |
June 27, 2023 |
Shivesh Prakash, Manish Reddy, Bhavya Bhatt |
| DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation |
Notes |
None |
July 11, 2023 |
Rishit Dagli |
| On Distillation of Guided Diffusion Models |
Notes |
YouTube |
July 28, 2023 |
Rishit Dagli |
| 3D Registration with Maximal Cliques |
Notes |
YouTube |
August 1, 2023 |
Shivesh Prakash, Manish Reddy, Bhavya Bhatt |
| Computational Design of High-Level Interlocking Puzzles |
Notes |
YouTube |
October 21, 2023 |
Shivesh Prakash, Manish Reddy, Bhavya Bhatt |
| Wonder3D: Single Image to 3D using Cross-Domain Diffusion |
Notes |
YouTube |
November 9, 2023 |
Rishit Dagli |
| LDM3D-VR: Latent Diffusion Model for 3D VR |
Notes |
YouTube |
November 18, 2023 |
Manish Reddy, Bhavya Bhatt |
| Exploring Graph-based Knowledge: Multi-Level Feature Distillation via Channels Relational Graph |
Notes |
YouTube |
May 25, 2024 |
Vedant Swamy |
| Pandora: Towards General World Model with Natural Language Actions and Video States |
Notes |
YouTube |
June 1, 2024 |
Shivesh Prakash |
| MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model |
Soon |
YouTube |
June 8, 2024 |
Rishit Dagli, Aryaman Bansal |
| pOps: Photo-Inspired Diffusion Operators |
Notes |
YouTube |
June 15, 2024 |
Vedant Swamy |
| Generative Image Dynamics |
Soon |
YouTube |
July 6, 2024 |
Rishit Dagli |
| MAVIS: Mathematical Visual Instruction Tuning |
Notes |
YouTube |
July 22, 2024 |
Vedant Swamy |
| Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion |
Soon |
YouTube |
July 27, 2024 |
Rishit Dagli |
The one where we meetup and hear people talk about their pre-print stage work in a conference-style research oral. Think of it as a standard oral program but for pre-prints.
| Paper |
Date |
Run By |
| Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields |
September 14, 2023 |
Lily Goli |
| Making PyTorch Efficient for the Edge: WASI-NN (Practice Talk) |
September 14, 2023 |
Rishit Dagli |