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09/06/2023
RoDia: A New Dataset for Romanian Dialect Identification from Speech
Dialect identification is a critical task in speech processing and langu...
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08/31/2023
CL-MAE: Curriculum-Learned Masked Autoencoders
Masked image modeling has been demonstrated as a powerful pretext task f...
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08/09/2023
JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition
We propose JEDI, a multi-dataset semi-supervised learning method, which ...
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08/02/2023
Reverse Stable Diffusion: What prompt was used to generate this image?
Text-to-image diffusion models such as Stable Diffusion have recently at...
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07/27/2023
Cascaded Cross-Modal Transformer for Request and Complaint Detection
We propose a novel cascaded cross-modal transformer (CCMT) that combines...
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06/21/2023
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
We propose an efficient abnormal event detection model based on a lightw...
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06/01/2023
Class Anchor Margin Loss for Content-Based Image Retrieval
The performance of neural networks in content-based image retrieval (CBI...
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02/20/2023
iQPP: A Benchmark for Image Query Performance Prediction
To date, query performance prediction (QPP) in the context of content-ba...
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12/15/2022
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification
We present a novel corpus for French dialect identification comprising 4...
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12/09/2022
Audiovisual Masked Autoencoders
Can we leverage the audiovisual information already present in video to ...
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11/28/2022
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation
We propose a very fast frame-level model for anomaly detection in video,...
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10/22/2022
Diversity-Promoting Ensemble for Medical Image Segmentation
Medical image segmentation is an actively studied task in medical imagin...
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09/25/2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Anomaly detection has recently gained increasing attention in the field ...
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09/10/2022
Diffusion Models in Vision: A Survey
Denoising diffusion models represent a recent emerging topic in computer...
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07/16/2022
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection
A self-supervised multi-task learning (SSMTL) framework for video anomal...
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07/07/2022
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web
The DarkWeb represents a hotbed for illicit activity, where users commun...
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05/18/2022
LeRaC: Learning Rate Curriculum
Most curriculum learning methods require an approach to sort the data sa...
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04/08/2022
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution
Super-resolving medical images can help physicians in providing more acc...
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03/17/2022
SepTr: Separable Transformer for Audio Spectrogram Processing
Following the successful application of vision transformers in multiple ...
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02/14/2022
Discriminability-enforcing loss to improve representation learning
During the training process, deep neural networks implicitly learn to re...
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02/10/2022
Feature-level augmentation to improve robustness of deep neural networks to affine transformations
Recent studies revealed that convolutional neural networks do not genera...
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01/28/2022
Self-paced learning to improve text row detection in historical documents with missing labels
An important preliminary step of optical character recognition systems i...
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11/20/2021
Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion
We study a series of recognition tasks in two realistic scenarios requir...
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11/17/2021
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Anomaly detection is commonly pursued as a one-class classification prob...
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11/16/2021
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Detecting abnormal events in video is commonly framed as a one-class cla...
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10/12/2021
CyTran: Cycle-Consistent Transformers for Non-Contrast to Contrast CT Translation
We propose a novel approach to translate unpaired contrast computed tomo...
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09/03/2021
A realistic approach to generate masked faces applied on two novel masked face recognition data sets
The COVID-19 pandemic raises the problem of adapting face recognition sy...
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08/17/2021
Contextual Convolutional Neural Networks
We propose contextual convolution (CoConv) for visual recognition. CoCon...
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07/22/2021
Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution
We propose an enhanced version of the Authentication with Built-in Camer...
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05/13/2021
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
In this work, we introduce a corpus for satire detection in Romanian new...
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04/10/2021
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection
In this paper, we introduce FreSaDa, a French Satire Data Set, which is ...
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03/22/2021
Self-paced ensemble learning for speech and audio classification
Combining multiple machine learning models into an ensemble is known to ...
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02/20/2021
Unsupervised Medical Image Alignment with Curriculum Learning
We explore different curriculum learning methods for training convolutio...
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02/18/2021
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning
In this work, we describe our approach addressing the Social Media Varie...
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01/25/2021
Curriculum Learning: A Survey
Training machine learning models in a meaningful order, from the easy sa...
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01/11/2021
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa – A Large Romanian Sentiment Data Set
Romanian is one of the understudied languages in computational linguisti...
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12/21/2020
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
The class distribution of data is one of the factors that regulates the ...
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11/15/2020
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Anomaly detection in video is a challenging computer vision problem. Due...
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10/21/2020
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
We study the task of replicating the functionality of black-box neural m...
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10/14/2020
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks
Deep learning methods for automotive radar interference mitigation can s...
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10/07/2020
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets
In this work, we introduce the methods proposed by the UnibucKernel team...
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09/25/2020
SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition
We propose a deep learning method to automatically detect personal prote...
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09/02/2020
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
For the time being, mobile devices employ implicit authentication mechan...
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09/01/2020
To augment or not to augment? Data augmentation in user identification based on motion sensors
Nowadays, commonly-used authentication systems for mobile device users, ...
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08/27/2020
A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Abnormal event detection in video is a complex computer vision problem t...
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08/11/2020
Estimating Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks
Radar sensors are gradually becoming a wide-spread equipment for road ve...
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08/03/2020
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion
In this paper, we study the task of facial expression recognition under ...
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08/01/2020
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks
In this paper, we present our system for the RSNA Intracranial Hemorrhag...
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07/30/2020
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification
In this work, we provide a follow-up on the Moldavian versus Romanian Cr...
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06/17/2020