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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

To Create What You Tell: Generating Videos from Captions

Yingwei Pan, Zhaofan Qiu, Ting Yao, Houqiang Li, Tao Mei

ACM International Conference on Multimedia (ACM Multimedia) | October 2017

Project

Publication

Deep Learning for Intelligent Video Analysis

Tao Mei, Cha Zhang

Tutorial in ACM Multimedia 2017 | October 2017

Project

Publication

Boosting Image Captioning with Attributes

Ting Yao, Yingwei Pan, Yehao Li, Zhaofan Qiu, Tao Mei

IEEE International Conference on Computer Vision (ICCV) | October 2017

Project

Publication

Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition (ICCV 2017 Oral)

Heliang Zheng, Jianlong Fu, Tao Mei, Jiebo Luo

IEEE International Conference on Computer Vision (ICCV) | October 2017

Project

Publication

Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner

Tseng-Hung Chen, Jianlong Fu, Min Sun

IEEE International Conference on Computer Vision (ICCV) | October 2017

Project

Event

Microsoft Research @ HCOMP 2017

October 24, 2017 – October 26, 2017 | Quebec City, Quebec

We are excited to be a gold sponsor of Human Computation and Crowdsourcing (HCOMP) 2017, the premier venue for disseminating the latest research findings on crowdsourcing and human computation. While artificial intelligence (AI) and human-computer…

Publication