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05/21/2023
P-NOC: Adversarial CAM Generation for Weakly Supervised Semantic Segmentation
To mitigate the necessity for large amounts of supervised segmentation a...
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03/19/2023
MIA-3DCNN: COVID-19 Detection Based on a 3D CNN
Early and accurate diagnosis of COVID-19 is essential to control the rap...
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01/25/2023
When Layers Play the Lottery, all Tickets Win at Initialization
Pruning is a standard technique for reducing the computational cost of d...
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10/06/2022
Single Image Super-Resolution Based on Capsule Neural Networks
Single image super-resolution (SISR) is the process of obtaining one hig...
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09/24/2022
Global Semantic Descriptors for Zero-Shot Action Recognition
The success of Zero-shot Action Recognition (ZSAR) methods is intrinsica...
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01/15/2022
A Survey on RGB-D Datasets
RGB-D data is essential for solving many problems in computer vision. Hu...
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12/18/2021
Tell me what you see: A zero-shot action recognition method based on natural language descriptions
Recently, several approaches have explored the detection and classificat...
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12/15/2021
Dense Video Captioning Using Unsupervised Semantic Information
We introduce a method to learn unsupervised semantic visual information ...
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10/02/2021
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
Citrus juices and fruits are commodities with great economic potential i...
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08/10/2021
On the Effect of Pruning on Adversarial Robustness
Pruning is a well-known mechanism for reducing the computational cost of...
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02/07/2021
AttributeNet: Attribute Enhanced Vehicle Re-Identification
Vehicle Re-Identification (V-ReID) is a critical task that associates th...
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01/18/2021
Improving Makeup Face Verification by Exploring Part-Based Representations
Recently, we have seen an increase in the global facial recognition mark...
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11/26/2020
Adaptive Multiplane Image Generation from a Single Internet Picture
In the last few years, several works have tackled the problem of novel v...
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11/10/2020
Multi-channel MR Reconstruction (MC-MRRec) Challenge – Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Differ
The 2020 Multi-channel Magnetic Resonance Reconstruction (MC-MRRec) Chal...
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10/12/2020
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
Person Re-Identification is a challenging task that aims to retrieve all...
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10/06/2020
Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation
Stereo vision is a growing topic in computer vision due to the innumerab...
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08/20/2020
Lite Training Strategies for Portuguese-English and English-Portuguese Translation
Despite the widespread adoption of deep learning for machine translation...
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04/22/2020
Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
Pests and diseases are relevant factors for production losses in agricul...
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02/23/2020
Multi-Stream Networks and Ground-Truth Generation for Crowd Counting
Crowd scene analysis has received a lot of attention recently due to the...
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09/13/2019
Zero-Shot Action Recognition in Videos: A Survey
Zero-Shot Action Recognition has attracted attention in the last years, ...
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07/15/2018
Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models
Given a video or an image of a person acquired from a camera, person re-...
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10/08/2014
