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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

Height Estimation of Children under Five Years using Depth Images.

Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan Lavista Ferres, Juan M. Lavista Ferres

IEEE International Engineering in Medicine and Biology Conference (EMBC) | May 2021

Project Project

Publication

Precision Mapping Child Undernutrition for Nearly 600,000 Inhabited Census Villages in India

Rockli Kim, Avleen S. Bijral, Yun Xu, Xiuyuan Zhang, Jeffrey C. Blossom, Akshay Swaminathan, Gary King, Alok Kumar, Rakesh Sarwal,, Juan M. Lavista Ferres, S. V. Subramanian

PNAS | May 2021, Vol 118

Project Project

Publication

What Makes Instance Discrimination Good for Transfer Learning

Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin

International Conference on Learning Representations (ICLR) | May 2021

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

Computer Vision

Highlights