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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

Tool

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery

Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas Lawrance

CoRL 2020 | November 2020

Project

Publication

Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks

Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu

IEEE Transactions on Cybernetics | November 2020

Publication

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain

NeurIPS 2020 | November 2020

Project Project

Publication

Spatio-Temporal Attention and Magnification for Classification of Parkinson’s Disease from Videos Collected via the Internet

Mohammad Rafayet Ali, Javier Hernandez, E. Ray Dorsey, Ehsan Hoque, Daniel McDuff

International Conference on Automatic Face and Gesture Recognition | November 2020

Publication

Spatula: Efficient cross-camera video analytics on large camera networks

Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Victor Bahl, Joseph Gonzalez

ACM/IEEE Symposium on Edge Computing (SEC 2020) | November 2020

SEC 2020 Best Paper Award

Project Project

Publication

Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints

Victor Fragoso, Sudipta Sinha

2020 International Conference on 3D Vision | October 2020

Publication

Depth Completion Using a View-constrained Deep Prior

Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta Sinha, Neel Joshi

2020 International Conference on 3D Vision | October 2020

Video

Enabling interaction between mixed reality and robots via cloud-based localization

October 28, 2020 | Marc Pollefeys, Juan Nieto, Helen Oleynikova, Jeff Delmerico

We introduce a way to enable more natural interaction between humans and robots through Mixed Reality, by using a shared coordinate system. Azure Spatial Anchors, which already supports colocalizing multiple HoloLens and smartphone devices in…

02:01

Computer Vision

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

ImagePairs Testing Data Set

ImagePairs Training Data Set

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery

Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Spatio-Temporal Attention and Magnification for Classification of Parkinson’s Disease from Videos Collected via the Internet

Spatula: Efficient cross-camera video analytics on large camera networks

Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints

Depth Completion Using a View-constrained Deep Prior

Enabling interaction between mixed reality and robots via cloud-based localization

Computer Vision

Highlights