Search Results for author: Anthony Hoogs

Found 9 papers, 2 papers with code

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

1 code implementation20 Jul 2022 Zhiheng Li, Anthony Hoogs, Chenliang Xu

By training in an alternate manner, the discoverer tries to find multiple unknown biases of the classifier without any annotations of biases, and the classifier aims at unlearning the biases identified by the discoverer.

Action Recognition Facial Attribute Classification

MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection

no code implementations2 Dec 2020 Kellie Corona, Katie Osterdahl, Roderic Collins, Anthony Hoogs

Our dataset is over 9300 hours of untrimmed, continuous video, scripted to include diverse, simultaneous activities, along with spontaneous background activity.

Activity Detection Human Activity Recognition

An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks

no code implementations5 Jun 2018 Chirag Agarwal, Bo Dong, Dan Schonfeld, Anthony Hoogs

Instead of simply measuring a DNN's adversarial robustness in the input domain, as previous works, the proposed NSS is built on top of insightful mathematical understanding of the adversarial attack and gives a more explicit explanation of the robustness.

Adversarial Attack Adversarial Robustness +3

Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata

no code implementations27 Jan 2018 Chengjiang Long, Roddy Collins, Eran Swears, Anthony Hoogs

We propose a novel method for predicting image labels by fusing image content descriptors with the social media context of each image.

Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video

no code implementations CVPR 2014 Eran Swears, Anthony Hoogs, Qiang Ji, Kim Boyer

Modeling interactions of multiple co-occurring objects in a complex activity is becoming increasingly popular in the video domain.

Activity Recognition

A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments

no code implementations CVPR 2013 Yiliang Xu, Sangmin Oh, Anthony Hoogs

We advance the state-of-the-art by a new model of measurement error in the line segment extraction and minimizing its impact on the vanishing point estimation.

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