research
∙
06/17/2022
A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report
Government agencies collect and manage a wide range of ever-growing data...
share
research
∙
04/11/2022
Physically Disentangled Representations
State-of-the-art methods in generative representation learning yield sem...
research
∙
03/20/2021
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
Action segmentation refers to inferring boundaries of semantically consi...
research
∙
01/05/2021
COVID-19 Tests Gone Rogue: Privacy, Efficacy,Mismanagement and Misunderstandings
COVID-19 testing, the cornerstone for effective screening and identifica...
research
∙
12/20/2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
Recent deep learning models have shown remarkable performance in image c...
research
∙
12/03/2020
Digital Landscape of COVID-19 Testing: Challenges and Opportunities
The COVID-19 Pandemic has left a devastating trail all over the world, i...
research
∙
08/11/2020
Comparing manual contact tracing and digital contact advice
Manual contact tracing is a top-down solution that starts with contact t...
research
∙
08/07/2020
SplitNN-driven Vertical Partitioning
In this work, we introduce SplitNN-driven Vertical Partitioning, a confi...
research
∙
04/05/2020
Deep Multimodal Feature Encoding for Video Ordering
True understanding of videos comes from a joint analysis of all its moda...
research
∙
04/05/2020
Clustering based Contrastive Learning for Improving Face Representations
A good clustering algorithm can discover natural groupings in data. Thes...
research
∙
10/09/2019
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations
Recently, there has been the development of Split Learning, a framework ...
research
∙
10/05/2019
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries
In this work we introduce ExpertMatcher, a method for automating deep le...
research
∙
04/25/2019
Holistic Large Scale Video Understanding
Action recognition has been advanced in recent years by benchmarks with ...
research
∙
04/25/2019
DynamoNet: Dynamic Action and Motion Network
In this paper, we are interested in self-supervised learning the motion ...
research
∙
03/03/2019
Self-Supervised Learning of Face Representations for Video Face Clustering
Analyzing the story behind TV series and movies often requires understan...
research
∙
02/28/2019
Efficient Parameter-free Clustering Using First Neighbor Relations
We present a new clustering method in the form of a single clustering eq...
research
∙
12/27/2018
Can Image Enhancement be Beneficial to Find Smoke Images in Laparoscopic Surgery?
Laparoscopic surgery has a limited field of view. Laser ablation in a la...
research
∙
06/19/2018
Spatio-Temporal Channel Correlation Networks for Action Classification
The work in this paper is driven by the question if spatio-temporal corr...
research
∙
11/22/2017
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
The work in this paper is driven by the question how to exploit the temp...
research
∙
11/22/2017
Object Discovery By Generative Adversarial & Ranking Networks
The deep generative adversarial networks (GAN) recently have been shown ...
research
∙
10/20/2017
Classification Driven Dynamic Image Enhancement
Convolutional neural networks rely on image texture and structure to ser...
research
∙
11/24/2016
Weakly Supervised Cascaded Convolutional Networks
Object detection is a challenging task in visual understanding domain, a...
research
∙
11/21/2016
Deep Temporal Linear Encoding Networks
The CNN-encoding of features from entire videos for the representation o...
research
∙
08/23/2016
Does V-NIR based Image Enhancement Come with Better Features?
Image enhancement using the visible (V) and near-infrared (NIR) usually ...
research
∙
05/26/2016
