Large-scale text-to-image generation models for visual artists' creative works
Large-scale Text-to-image Generation Models (LTGMs)(eg, DALL-E), self-supervised deep
learning models trained on a huge dataset, have demonstrated the capacity for generating …
learning models trained on a huge dataset, have demonstrated the capacity for generating …
Where are you heading? dynamic trajectory prediction with expert goal examples
H Zhao, RP Wildes - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Goal-conditioned approaches recently have been found very useful to human trajectory
prediction, when adequate goal estimates are provided. Yet, goal inference is difficult in …
prediction, when adequate goal estimates are provided. Yet, goal inference is difficult in …
FORTE: Few samples for recognizing hand gestures with a smartphone-attached radar
Radar sensing technologies offer several advantages over other gesture input modalities,
such as the ability to reliably sense human movements, a reasonable deployment cost …
such as the ability to reliably sense human movements, a reasonable deployment cost …
Wordgesture-GAN: modeling word-gesture movement with generative adversarial network
Word-gesture production models that can synthesize word-gestures are critical to the
training and evaluation of word-gesture keyboard decoders. We propose WordGesture …
training and evaluation of word-gesture keyboard decoders. We propose WordGesture …
Neural latent aligner: cross-trial alignment for learning representations of complex, naturalistic neural data
Understanding the neural implementation of complex human behaviors is one of the major
goals in neuroscience. To this end, it is crucial to find a true representation of the neural …
goals in neuroscience. To this end, it is crucial to find a true representation of the neural …
EPIC: emotion perception by spatio-temporal interaction context of gait
Recently, psychophysiological computing has received considerable attention. Due to easy
acquisition at a distance and less conscious initiation, gait-based emotion recognition is …
acquisition at a distance and less conscious initiation, gait-based emotion recognition is …
Soft dynamic time warping for multi-pitch estimation and beyond
Many tasks in music information retrieval (MIR) involve weakly aligned data, where exact
temporal correspondences are unknown. The connectionist temporal classification (CTC) …
temporal correspondences are unknown. The connectionist temporal classification (CTC) …
Differentiable simulation of a liquid argon time projection chamber
S Gasiorowski, Y Chen, Y Nashed… - Machine Learning …, 2024 - iopscience.iop.org
Liquid argon time projection chambers (LArTPCs) are widely used in particle detection for
their tracking and calorimetric capabilities. The particle physics community actively builds …
their tracking and calorimetric capabilities. The particle physics community actively builds …
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction
Introduction Modeling multi-channel electroencephalographic (EEG) time-series is a
challenging tasks, even for the most recent deep learning approaches. Particularly, in this …
challenging tasks, even for the most recent deep learning approaches. Particularly, in this …
Effective 2D Stroke-based Gesture Augmentation for RNNs
Recurrent neural networks (RNN) require large training datasets from which they learn new
class models. This limitation prohibits their use in custom gesture applications where only …
class models. This limitation prohibits their use in custom gesture applications where only …