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05/27/2023
How Good is Automatic Segmentation as a Multimodal Discourse Annotation Aid?
Collaborative problem solving (CPS) in teams is tightly coupled with the...
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05/02/2023
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection
Researchers typically investigate neural network representations by exam...
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12/09/2022
A Computer Vision Method for Estimating Velocity from Jumps
Athletes routinely undergo fitness evaluations to evaluate their trainin...
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11/23/2022
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
Previous work has shown that a neural network with the rectified linear ...
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06/15/2021
Canonical Face Embeddings
We present evidence that many common convolutional neural networks (CNNs...
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04/16/2021
Drowned out by the noise: Evidence for Tracking-free Motion Prediction
Autonomous driving consists of a multitude of interacting modules, where...
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10/05/2020
Common CNN-based Face Embedding Spaces are (Almost) Equivalent
CNNs are the dominant method for creating face embeddings for recognitio...
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04/11/2020
A Novel Pose Proposal Network and Refinement Pipeline for Better Object Pose Estimation
In this paper, we present a novel deep learning pipeline for 6D object p...
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02/28/2020
Utilizing Network Properties to Detect Erroneous Inputs
Neural networks are vulnerable to a wide range of erroneous inputs such ...
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10/20/2019
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction
In this paper, we present an end-to-end future-prediction model that foc...
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07/03/2018
Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities
In the last decade, video blogs (vlogs) have become an extremely popular...
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05/28/2018
