no code implementations • 18 Mar 2024 • William Theisen, Walter Scheirer
Recent advancements in model architectures such as CLIP have enabled researchers to begin studying the interplay between the modalities of text and images in a shared latent space.
no code implementations • 25 Sep 2023 • Zachariah Carmichael, Suhas Lohit, Anoop Cherian, Michael Jones, Walter Scheirer
Prototypical part neural networks (ProtoPartNNs), namely PROTOPNET and its derivatives, are an intrinsically interpretable approach to machine learning.
no code implementations • 18 Sep 2023 • Arturo Miguel Russell Bernal, Walter Scheirer, Jane Cleland-Huang
With the increasing reliance on small Unmanned Aerial Systems (sUAS) for Emergency Response Scenarios, such as Search and Rescue, the integration of computer vision capabilities has become a key factor in mission success.
no code implementations • 6 Sep 2023 • William Theisen, Walter Scheirer
This is something rarely seen on social media, where the vast majority of text content is ``commentative'' in nature.
no code implementations • 8 Sep 2022 • Jin Huang, Derek Prijatelj, Justin Dulay, Walter Scheirer
The human ability to recognize when an object belongs or does not belong to a particular vision task outperforms all open set recognition algorithms.
no code implementations • 5 Aug 2022 • Sandipan Banerjee, Walter Scheirer, Kevin Bowyer, Patrick Flynn
In this article, we analyze how changing the underlying 3D shape of the base identity in face images can distort their overall appearance, especially from the perspective of deep face recognition.
no code implementations • 16 Mar 2022 • William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael, Daniel Moreira, Tim Weninger, Walter Scheirer
On the internet, images are no longer static; they have become dynamic content.
no code implementations • 28 Mar 2021 • Sophia Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter Scheirer, Jane Cleland-Huang
Computer vision approaches are widely used by autonomous robotic systems to sense the world around them and to guide their decision making as they perform diverse tasks such as collision avoidance, search and rescue, and object manipulation.
no code implementations • 6 Jun 2020 • Kevin W. Bowyer, Michael King, Walter Scheirer, Kushal Vangara
A few recent publications have claimed success in analyzing an image of a person's face in order to predict the person's status as Criminal / Non-Criminal.
no code implementations • 17 Jan 2020 • William Theisen, Joel Brogan, Pamela Bilo Thomas, Daniel Moreira, Pascal Phoa, Tim Weninger, Walter Scheirer
This pipeline can ingest meme images from a social network, apply computer vision-based techniques to extract local features and index new images into a database, and then organize the memes into related genres.
no code implementations • 13 Jan 2020 • Aparna Bharati, Daniel Moreira, Patrick Flynn, Anderson Rocha, Kevin Bowyer, Walter Scheirer
To establish the efficacy of the proposed approach, comparisons with state-of-the-art handcrafted and deep learning-based descriptors, and image matching approaches are made.
1 code implementation • WS 2019 • Kenton Murray, Jeffery Kinnison, Toan Q. Nguyen, Walter Scheirer, David Chiang
Neural sequence-to-sequence models, particularly the Transformer, are the state of the art in machine translation.
no code implementations • 24 Mar 2019 • Joel Brogan, Aparna Bharati, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks.
1 code implementation • 6 Jan 2019 • Jeffery Kinnison, Mateusz Trokielewicz, Camila Carballo, Adam Czajka, Walter Scheirer
Subject matching performance in iris biometrics is contingent upon fast, high-quality iris segmentation.
no code implementations • 21 Dec 2018 • Klemen Grm, Martin Pernuš, Leo Cluzel, Walter Scheirer, Simon Dobrišek, Vitomir Štruc
This down-sampling (or degradation) procedure not only defines the characteristics of the LR training data, but also determines the type of image degradations the learned FH models are eventually able to handle.
no code implementations • 7 Dec 2018 • Jacob Dumford, Walter Scheirer
Deep learning techniques are at the top of the game for facial recognition, which means they have now been implemented in many production-level systems.
no code implementations • 18 Apr 2018 • Niko Sünderhauf, Oliver Brock, Walter Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
In this paper we discuss a number of robotics-specific learning, reasoning, and embodiment challenges for deep learning.
Robotics
no code implementations • 5 Jul 2017 • Jeff Kinnison, Nathaniel Kremer-Herman, Douglas Thain, Walter Scheirer
We first demonstrate that our framework achieves double the throughput of a standard distributed hyperparameter optimization framework by optimizing SVM for MNIST using 150 distributed workers.
1 code implementation • 1 Jun 2017 • Allan Pinto, Daniel Moreira, Aparna Bharati, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny analyzes the evolutionary processes that influence digital objects and collections over time.
1 code implementation • 31 May 2017 • Aparna Bharati, Daniel Moreira, Allan Pinto, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through doctored visual media.
no code implementations • 1 May 2017 • Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and quickly detect forgeries grows.
no code implementations • 16 Mar 2017 • Ruth Fong, Walter Scheirer, David Cox
The effectiveness of this approach points to a path forward for a new class of hybrid machine learning algorithms which take both inspiration and direct constraints from neuronal data.
1 code implementation • 25 Oct 2016 • Mel McCurrie, Fernando Beletti, Lucas Parzianello, Allen Westendorp, Samuel Anthony, Walter Scheirer
Psychologists believe that these judgements are based on a variety of factors such as emotional states, personality traits, and other physiognomic cues.
1 code implementation • 16 Oct 2016 • Sandipan Banerjee, Joel Brogan, Janez Krizaj, Aparna Bharati, Brandon RichardWebster, Vitomir Struc, Patrick Flynn, Walter Scheirer
If a CNN is intended to tolerate facial pose, then we face an important question: should this training data be diverse in its pose distribution, or should face images be normalized to a single pose in a pre-processing step?
no code implementations • 2 Aug 2016 • Victor Fragoso, Walter Scheirer, Joao Hespanha, Matthew Turk
This work introduces the one-class slab SVM (OCSSVM), a one-class classifier that aims at improving the performance of the one-class SVM.