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09/03/2023
COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers
We present COMEDIAN, a novel pipeline to initialize spatio-temporal tran...
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12/21/2022
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
Contrastive representation learning has proven to be an effective self-s...
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12/06/2022
Domain Translation via Latent Space Mapping
In this paper, we investigate the problem of multi-domain translation: g...
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06/15/2022
Physically-admissible polarimetric data augmentation for road-scene analysis
Polarimetric imaging, along with deep learning, has shown improved perfo...
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11/29/2021
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
Contrastive representation learning has proven to be an effective self-s...
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02/04/2020
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion
Generative Adversarial Networks (GANs) have proven successful for unsupe...
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11/02/2019
Pixel-wise Conditioning of Generative Adversarial Networks
Generative Adversarial Networks (GANs) have proven successful for unsupe...
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05/15/2019
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation
Generative models have recently received renewed attention as a result o...
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12/12/2018
An efficient supervised dictionary learning method for audio signal recognition
Machine hearing or listening represents an emerging area. Conventional a...
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10/25/2017
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network
Efficient and high-fidelity prior sampling and inversion for complex geo...
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09/06/2017
Neural Networks Regularization Through Class-wise Invariant Representation Learning
Training deep neural networks is known to require a large number of trai...
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08/16/2017
Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network
Probabilistic inversion within a multiple-point statistics framework is ...
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04/28/2015
Deep Neural Networks Regularization for Structured Output Prediction
A deep neural network model is a powerful framework for learning represe...
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01/07/2014