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08/30/2023
Semantic Image Synthesis via Class-Adaptive Cross-Attention
In semantic image synthesis, the state of the art is dominated by method...
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07/11/2023
Automatic Generation of Semantic Parts for Face Image Synthesis
Semantic image synthesis (SIS) refers to the problem of generating reali...
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02/21/2023
Memory-augmented Online Video Anomaly Detection
The ability to understand the surrounding scene is of paramount importan...
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06/21/2022
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation
The Instance Segmentation task, an extension of the well-known Object De...
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06/21/2022
Improving Localization for Semi-Supervised Object Detection
Nowadays, Semi-Supervised Object Detection (SSOD) is a hot topic, since,...
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08/30/2021
AEDA: An Easier Data Augmentation Technique for Text Classification
This paper proposes AEDA (An Easier Data Augmentation) technique to help...
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08/17/2021
Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation
Gradient-based attention modeling has been used widely as a way to visua...
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04/03/2021
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing
Within the field of instance segmentation, most of the state-of-the-art ...
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03/17/2021
UniParma @ SemEval 2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model
With the ever-increasing availability of digital information, toxic cont...
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10/22/2020
Improving BERT Performance for Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA) studies the consumer opinion on t...
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04/28/2020
A novel Region of Interest Extraction Layer for Instance Segmentation
Given the wide diffusion of deep neural network architectures for comput...
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01/30/2020
Adversarial Training for Aspect-Based Sentiment Analysis with BERT
Aspect-Based Sentiment Analysis (ABSA) deals with the extraction of sent...
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12/05/2019
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning
Image synthesis is currently one of the most addressed image processing ...
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09/17/2019
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization
In recent years, the majority of works on deep-learning-based image colo...
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08/19/2019
Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval
Several computer vision and artificial intelligence projects are nowaday...
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04/18/2019
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval
The application of the diffusion in many computer vision and artificial ...
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08/15/2018
A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval
The recent advances brought by deep learning allowed to improve the perf...
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06/22/2018
An accurate retrieval through R-MAC+ descriptors for landmark recognition
The landmark recognition problem is far from being solved, but with the ...
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06/15/2018
Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition
The problem of landmark recognition has achieved excellent results in sm...
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02/16/2018
A complete hand-drawn sketch vectorization framework
Vectorizing hand-drawn sketches is a challenging task, which is of param...
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06/19/2017
Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets
In this paper, a unified three-layer hierarchical approach for solving t...
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02/04/2017