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08/20/2022
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
We introduce Net2Brain, a graphical and command-line user interface tool...
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08/09/2022
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI
Assessing the trustworthiness of artificial intelligence systems require...
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06/17/2022
What do navigation agents learn about their environment?
Today's state of the art visual navigation agents typically consist of l...
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12/28/2021
FRIDA – Generative Feature Replay for Incremental Domain Adaptation
We tackle the novel problem of incremental unsupervised domain adaptatio...
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10/21/2020
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies
In this work, we propose different variants of the self-attention based ...
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08/05/2020
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
In this paper, we tackle an open research question in transfer learning,...
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06/30/2020
Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models
Scene text recognition models have advanced greatly in recent years. Ins...
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01/25/2020
Regression-based music emotion prediction using triplet neural networks
In this paper, we adapt triplet neural networks (TNNs) to a regression t...
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10/22/2019
Predictive Coding Networks Meet Action Recognition
Action recognition is a key problem in computer vision that labels video...
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10/01/2019
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks
We present an approach to tackle the speaker recognition problem using T...
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09/16/2019
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies
The goal of this study is to develop and analyze multimodal models for p...
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05/14/2019
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
In the last decade, artificial intelligence (AI) models inspired by the ...
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04/26/2019
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
Transfer learning is widely used in deep neural network models when ther...
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04/22/2019
Deep Anchored Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have been proven to be extremely su...
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04/01/2019
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
Deep learning techniques have become the to-go models for most vision-re...
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08/23/2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Recently, the introduction of the generative adversarial network (GAN) a...
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06/26/2017
Do Deep Neural Networks Suffer from Crowding?
Crowding is a visual effect suffered by humans, in which an object that ...
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11/14/2016
Herding Generalizes Diverse M -Best Solutions
We show that the algorithm to extract diverse M -solutions from a Condit...
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08/29/2014
Comment on "Ensemble Projection for Semi-supervised Image Classification"
In a series of papers by Dai and colleagues [1,2], a feature map (or ker...
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09/16/2013
SEEDS: Superpixels Extracted via Energy-Driven Sampling
Superpixel algorithms aim to over-segment the image by grouping pixels t...
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07/19/2013
