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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

Webinar

Mixed reality and robotics: Unlocking more intuitive human-machine collaboration webinar

January 21, 2021 | Virtual/Online

In this webinar, join Jeff Delmerico and Helen Oleynikova, Senior Scientists at the Mixed Reality and AI Zurich Lab, in exploring how mixed reality (MR)—which blends the digital world with the physical one—can be used…

Video

MMTM: Multimodal Transfer Module for CNN Fusion (short video)

January 19, 2021 | Hamid Vaezi Joze

CVPR 2020 short video MMTM: Multimodal Transfer Module for CNN Fusion – Microsoft Research

Publication

Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection

Junyu Luo, Jinpeng Wang, Chin-Yew Lin

25th International Conference on Pattern Recognition (ICPR2020) | January 2021

Publication

Visual Style Extraction from Chart Images for Chart Restyling

Danqing Huang, Jinpeng Wang, Guoxin Wang, Chin-Yew Lin

25th International Conference on Pattern Recognition (ICPR2020) | January 2021

Publication

ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework

Junyu Luo, Zekun Li, Jinpeng Wang, Chin-Yew Lin

2021 IEEE Winter Conference on Applications of Computer Vision (WACV) | January 2021

Video

#TWIMLfest: Accessibility and Computer Vision

January 4, 2021 | Meredith Ringel Morris

Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. Engaging with digital imagery…