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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

Learning to Track Objects from Unlabeled Videos

Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang

ICCV 2021 | October 2021

Publication

Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo

ICCV 2021 | October 2021

Marr Prize – Best Paper Prize

Publication

Self-Supervised Video Representation Learning with Meta-Contrastive Network

Yuanze Lin, Xun Guo, Yan Lu

ICCV 2021 | October 2021

Publication

Learning With Noisy Labels for Robust Point Cloud Segmentation

Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao

ICCV 2021 | October 2021

Publication

High-Fidelity Pluralistic Image Completion with Transformers

Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao

ICCV 2021 | October 2021

Publication

Conditional DETR for Fast Training Convergence

Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, Jingdong Wang

ICCV 2021 | October 2021

Publication

How To Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild

Okan Köpüklü, Maja Taseska, Gerhard Rigoll

ICCV 2021 | October 2021

Publication

On Adversarial Robustness: A Neural Architecture Search perspective

Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N Balasubramanian

ICCV 2021 | October 2021

Publication

Fake It Till You Make It: Face analysis in the wild using synthetic data alone

Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Sebastian Dziadzio, Matthew Johnson, Virginia Estellers, Tom Cashman, Jamie Shotton

International Conference on Computer Vision 2021 | October 2021

Video

Publication

Enabling meaningful use of AI-infused educational technologies for children with blindness: learnings from the development and piloting of the PeopleLens curriculum

Cecily Morrison, Ed Cutrell, Martin Grayson, Elisabeth RB Becker, Vasiliki Kladouchou, Linda Pring, Katherine Jones, Rita Faia Marques, Camilla Longden, Abigail Sellen

ASSETS 2021 | October 2021

Best Paper Nominee

Project

Computer Vision

Highlights