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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

Consensus Maximization for Semantic Region Correspondences

Pablo Speciale, Danda P. Paudel, Martin Ralf Oswald, Hayko Riemenschneider, Luc V. Gool, Marc Pollefeys

2018 Conference on Computer Vision and Pattern Recognition (CVPR) | June 2018

Publication

Hybrid camera pose estimation

Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler

2018 Conference on Computer Vision and Pattern Recognition (CVPR) | June 2018

Publication

Towards Open-Set Identity Preserving Face Synthesis

Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, Gang Hua

2018 IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2018) | June 2018

Publication

DIY Human Action Data Set Generation

Mehran Khodabandeh, Hamid Vaezi Joze, Ilya Zharkov, Vivek Pradeep

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops | June 2018

Publication

Integrated Learning and Feature Selection for Deep Neural Networks in Multispectral Images

Anthony Ortiz, Alonso Granados, Olac Fuentes, Christopher Kiekintveld, Dalton Rosario, Zachary Bell

Computer Vision and Pattern Recognition | May 2018

Video

Fireside Chat with Cynthia Breazeal

May 29, 2018 | Cynthia Breazeal, Ashish Kapoor

Cynthia Breazeal is an Associate Professor at the MIT Media Lab, where she founded and directs the Personal Robots Group. She is also founder and Chief Experience Officer of Jibo, Inc., a personal robotics and…

30:41

Publication

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Wu, Jianfeng Wang, Xiaodong He

May 2018

arxiv

Video

Connecting Vision and Language via Interpretation, Grounding and Imagination

May 11, 2018 | Mr Ramakrishna Vedantam

Understanding how to model vision and language jointly is a long-standing challenge in artificial intelligence. Vision is one of the primary sensors we use to perceive the world, while language is our data structure to…

01:00:00

Video

AirSim and drones

May 9, 2018

Generating the training data necessary to train and create a custom vision model is now easier than ever using AirSim. AirSim is a simulation environment; which allows us to create a 3D version of the…

1:54

Publication

Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

Sergey Prokudin, Peter Gehler, Sebastian Nowozin

ECCV 2018 | May 2018

Project

Computer Vision

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