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Computer vision

Teaching machines to interpret and reason about the visual world, from object recognition to medical imaging.

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

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks

Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Weiming Zhang, Gang Hua, Nenghai Yu

2020 Computer Vision and Pattern Recognition | June 2020

Publication

Bringing Old Photos Back to Life

Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen

2020 Computer Vision and Pattern Recognition | June 2020

Publication

Dynamic Convolution: Attention Over Convolution Kernels

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

2020 Computer Vision and Pattern Recognition | June 2020

Publication

Dynamic Convolution: Attention over Convolution Kernels

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

2020 Conference on Computer Vision and Pattern Recognition | June 2020

Project

Publication

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang

Computer Vision and Pattern Recognition | June 2020

Group

Swiss Joint Research Center

The Microsoft Research Swiss Joint Research Center was established on June 2013 as the renewal of ICES (Innovation Cluster for Embedded Software), a collaborative research engagement between ETH Zurich, École Polytechnique Federale de Lausanne (EPFL),…

Publication