Search Results for author: Anthony Hoogs

Found 12 papers, 3 papers with code

Open Set Action Recognition via Multi-Label Evidential Learning

no code implementations CVPR 2023 Chen Zhao, Dawei Du, Anthony Hoogs, Christopher Funk

Existing methods for open-set action recognition focus on novelty detection that assumes video clips show a single action, which is unrealistic in the real world.

Action Detection Novelty Detection +1

xFBD: Focused Building Damage Dataset and Analysis

no code implementations23 Dec 2022 Dennis Melamed, Cameron Johnson, Chen Zhao, Russell Blue, Philip Morrone, Anthony Hoogs, Brian Clipp

This new challenge involves a new dataset and metrics indicating solution performance when damage is more local and limited than in xBD.

Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition

no code implementations12 Dec 2022 Dawei Du, Ameya Shringi, Anthony Hoogs, Christopher Funk

Our approach uses the reconstruction error to determine the novelty of the video since unknown classes are harder to put back together and thus have a higher reconstruction error than videos from known classes.

Open Set Action Recognition

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 +1

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.

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.

Clustering

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