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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

Revisiting Dynamic Convolution via Matrix Decomposition

Yunsheng Li, Yinpeng Chen, Xiyang Dai, mengchen liu, Dong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos

2021 International Conference on Learning Representations | May 2021

Project

Publication

Parameter Efficient Multimodal Transformers for Video Representation Learning

Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz, Yale Song

International Conference on Learning Representations (ICLR) | May 2021

Github

Publication

Memory Optimization for Deep Networks

Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl

International Conference on Learning Representations (ICLR 2021) | May 2021

Publication

Self-Supervised Learning of Compressed Video Representations

Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song

International Conference on Learning Representations (ICLR) | May 2021

Publication

Active Contrastive Learning of Audio-Visual Video Representations

Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song

International Conference on Learning Representations (ICLR) | May 2021

Publication

A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline

Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang

IEEE Transactions on Multimedia | April 2021

Video

Seminario RICC: Aprendiendo representaciones útiles mediante modelos generativos con pocos labels

April 28, 2021 | Jose Carranza-Rojas

Seminario de computación científica “Representation Learning: Aprendiendo representaciones útiles mediante modelos generativos con pocos labels”, impartido por Jose Carranza.

59:19

Publication

Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings

Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang

2021 Computer Vision and Pattern Recognition | April 2021

Video

H2O: Two Hands Manipulating Objects for First Person Interaction Recognition | JRC Workshop 2021

April 22, 2021 | Taein Kwon

Computer Vision | Day 2 22 April 2021 Speaker: Taein Kwon, ETH Zurich (collaboration with Federica Bogo Marc Pollefeys, Bugra Tekin, Microsoft) This virtual event brought together the PhD students and postdocs working on collaborative…

05:02

Video

Digital Characters in Virtual Experiences | JRC Workshop 2021

April 22, 2021 | Darren Cosker

Computer Vision | Day 2 22 April 2021 Speaker: Darren Cosker, Microsoft / University of Bath This virtual event brought together the PhD students and postdocs working on collaborative research engagements with Microsoft via the…

15:43

Computer Vision

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