List: Computer Vision | Curated by CP Lu, PhD | Medium

Nov 22, 2023

7 stories

Computer Vision

The Tenyks Blogger

Amid the rise of LLMs, is Computer Vision dead?

ICCV23 workshop “Quo Vadis, Computer Vision?” answers this query.

Oct 24, 2023

Amid the rise of LLMs, is Computer Vision dead?

Oct 24, 2023

Andrew Lukyanenko

Paper Review: SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding

A double-shot of VFMs for one-shot image segmentation

Nov 2, 2023

Paper Review: SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding

Nov 2, 2023

The Tenyks Blogger

The Foundation Models Reshaping Computer Vision

Learn about the Foundation Models — for object classification, object detection, and segmentation — that are redefining Computer Vision.

Oct 26, 2023

The Foundation Models Reshaping Computer Vision

Oct 26, 2023

In

DataDreamers

by

ASLAM KHAN

Papers Explained 2.0 : Zip-NeRF Anti-Aliased Grid-Based Neural Radiance Fields

Neural Radiance Fields (NeRF) is a recent approach in computer graphics and computer vision that uses deep neural networks to model the…

May 18, 2023

Papers Explained 2.0 : Zip-NeRF Anti-Aliased Grid-Based Neural Radiance Fields

May 18, 2023

Maria Dobko

CVPR 2023 — Summary

My takeaways from attending CVPR 2023 in person.

Jul 5, 2023

CVPR 2023 — Summary

Jul 5, 2023

In

Voxel51

by

Jacob Marks, Ph.D.

VoxelGPT: Your AI Assistant for Computer Vision

Want to surface interesting insights about your image and video datasets without writing code? Now you can with VoxelGPT!

Jun 7, 2023

VoxelGPT: Your AI Assistant for Computer Vision

Jun 7, 2023

Fareed Khan

SAM: The Game-Changer in Image Segmentation

Facebook’s new model, known as SAM or Segment Anything Model, has the potential to revolutionize the computer vision industry positively…

Apr 9, 2023

SAM: The Game-Changer in Image Segmentation

Apr 9, 2023

CP Lu, PhD
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Committed to advancing AI hardware, I relish exploring philosophy and history, bridging the past and future.
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