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Computer Vision

Enabling computers and devices to understand what they see.

Microsoft at CVPR 2024: Innovations in computer vision and AI research

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Exploring how context, culture, and character matter in avatar research

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

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Published Date

Publication

Multimodal Large Language Models Make Text-to-Image Generative Models Align Better

Xun Wu, Shaohan Huang, Furu Wei

October 2024

Publication

CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering

Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang, Luming Liang

2024 European Conference on Computer Vision | October 2024

Publication

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei

October 2024

Publication

Motion Graph Unleashed: A Novel Approach to Video Prediction

Luming Liang, Ilya Zharkov

October 2024

Microsoft Research Blog

Stress-testing biomedical vision models with RadEdit: A synthetic data approach for robust model deployment

September 30, 2024 | Max Ilse, Daniel Coelho de Castro, Javier Alvarez-Valle

RadEdit stress-tests biomedical vision models by simulating dataset shifts through precise image editing. It uses diffusion models to create realistic, synthetic datasets, helping to identify model weaknesses and evaluate robustness.

On the left is a simple drawing of the lungs. The drawing shows the borders of the left and right lung as well as the trachea and the left and right main stem bronchi. The text under the drawing reads: Original image. To the right of the drawing are the 3 additional inputs of RadEdit. They are arranged vertically. On top there is an example editing prompt. It reads

Podcast

Abstracts: September 30, 2024

September 30, 2024

The personalizable object recognizer Find My Things was recently recognized for accessible design. Researcher Daniela Massiceti and software development engineer Martin Grayson talk about the research project’s origins and the tech advances making it possible.