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Section: Publications & Resources
Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data? As one such example, this work explores the low-light image enhancement problem, where in practice it is extremely challenging to simultaneously take a low-light and a normal-light photo of the same visual scene.
Section: Events
Date: 19 January 2023
Time: 1:00 PM ET (New York Time)
Full webinar details
Section: Events
Date: 15 February 2023
Time: 10:00 AM ET (New York Time)
Presenter(s): Mr. Wei Liu, Dr. Li Chen and Dr. Wenyi Zhang
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Section: Events
Submission Deadline: 15 June 2023
Call for Proposals Document
Section: Publications & Resources
Graph neural networks (GNNs) have achieved impressive results in various graph learning tasks and they have found their way into many application domains. Despite their proliferation, our understanding of their robustness properties is still very limited.
Section: Events
Date: 18 January 2023
Time: 3:00 PM (Paris Time)
Title: Robustness of Graph Neural Networks
Registration | Full webinar details
Section: Publications & Resources
Human centric visual analysis tasks are essential to computer vision since humans are the key element for cameras to analyze. In this talk, I will mainly focus on 4 visual analysis tasks on human hand, gesture, pose, and action respectively.
Section: Publications & Resources
Decentralized stochastic gradient descent (SGD) is a driving engine for decentralized federated learning (DFL). The performance of decentralized SGD is jointly influenced by inter-node communications and local updates.
Section: Events
Date: 13 February 2023
Time: 10:30 AM ET (New York Time)
Title: Human Centric Visual Analysis - Hand, Gesture, Pose, Action, and Beyond
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Section: Events
Date: 9 March 2023
Time: 9:00 AM ET (New York Time)
Presenter(s): Mr. Sayantan Dutta
