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09/21/2023
Exploiting CLIP-based Multi-modal Approach for Artwork Classification and Retrieval
Given the recent advances in multimodal image pretraining where visual m...
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09/07/2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
This paper presents a novel reconstruction method that leverages Diffusi...
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08/24/2023
Robot Pose Nowcasting: Forecast the Future to Improve the Present
In recent years, the effective and safe collaboration between humans and...
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08/22/2023
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
Given a query composed of a reference image and a relative caption, the ...
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08/14/2023
Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
Cultural heritage applications and advanced machine learning models are ...
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07/26/2023
ECO: Ensembling Context Optimization for Vision-Language Models
Image recognition has recently witnessed a paradigm shift, where vision-...
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06/01/2023
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks
Time varying sequences of 3D point clouds, or 4D point clouds, are now b...
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04/17/2023
Transformer-based Graph Neural Networks for Outfit Generation
Suggesting complementary clothing items to compose an outfit is a proces...
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04/13/2023
Neuromorphic Event-based Facial Expression Recognition
Recently, event cameras have shown large applicability in several comput...
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04/02/2023
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Recent advancements in diffusion models have enabled the generation of r...
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03/27/2023
Zero-Shot Composed Image Retrieval with Textual Inversion
Composed Image Retrieval (CIR) aims to retrieve a target image based on ...
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01/15/2023
Maximally Compact and Separated Features with Regular Polytope Networks
Convolutional Neural Networks (CNNs) trained with the Softmax loss are w...
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11/16/2022
CL2R: Compatible Lifelong Learning Representations
In this paper, we propose a method to partially mimic natural intelligen...
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11/15/2022
Forecasting Future Instance Segmentation with Learned Optical Flow and Warping
For an autonomous vehicle it is essential to observe the ongoing dynamic...
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11/08/2022
Learning advisor networks for noisy image classification
In this paper, we introduced the novel concept of advisor network to add...
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09/05/2022
Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matrices
We propose an automatic method to estimate self-reported pain based on f...
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08/01/2022
Fashion Recommendation Based on Style and Social Events
Fashion recommendation is often declined as the task of finding compleme...
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07/29/2022
Generating Complex 4D Expression Transitions by Learning Face Landmark Trajectories
In this work, we address the problem of 4D facial expressions generation...
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07/25/2022
Is GPT-3 all you need for Visual Question Answering in Cultural Heritage?
The use of Deep Learning and Computer Vision in the Cultural Heritage do...
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06/23/2022
What makes you, you? Analyzing Recognition by Swapping Face Parts
Deep learning advanced face recognition to an unprecedented accuracy. Ho...
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06/07/2022
Online Deep Clustering with Video Track Consistency
Several unsupervised and self-supervised approaches have been developed ...
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05/11/2022
Contrastive Supervised Distillation for Continual Representation Learning
In this paper, we propose a novel training procedure for the continual r...
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03/23/2022
SMEMO: Social Memory for Trajectory Forecasting
Effective modeling of human interactions is of utmost importance when fo...
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02/25/2022
On Modality Bias Recognition and Reduction
Making each modality in multi-modal data contribute is of vital importan...
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11/15/2021
CoReS: Compatible Representations via Stationarity
In this paper, we propose a novel method to learn internal feature repre...
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10/12/2021
Fine-Grained Adversarial Semi-supervised Learning
In this paper we exploit Semi-Supervised Learning (SSL) to increase the ...
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06/25/2021
Partially fake it till you make it: mixing real and fake thermal images for improved object detection
In this paper we propose a novel data augmentation approach for visual c...
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05/16/2021
3D to 4D Facial Expressions Generation Guided by Landmarks
While deep learning-based 3D face generation has made a progress recentl...
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05/14/2021
Learning Group Activities from Skeletons without Individual Action Labels
To understand human behavior we must not just recognize individual actio...
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05/05/2021
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
A number of studies point out that current Visual Question Answering (VQ...
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03/29/2021
Regular Polytope Networks
Neural networks are widely used as a model for classification in a large...
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02/03/2021
Robust pedestrian detection in thermal imagery using synthesized images
In this paper we propose a method for improving pedestrian detection in ...
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12/11/2020
Garment Recommendation with Memory Augmented Neural Networks
Fashion plays a pivotal role in society. Combining garments appropriatel...
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10/18/2020
Multiple Future Prediction Leveraging Synthetic Trajectories
Trajectory prediction is an important task, especially in autonomous dri...
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10/18/2020
Temporal Binary Representation for Event-Based Action Recognition
In this paper we present an event aggregation strategy to convert the ou...
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10/16/2020
Class-incremental Learning with Pre-allocated Fixed Classifiers
In class-incremental learning, a learning agent faces a stream of data w...
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08/27/2020
Inner Eye Canthus Localization for Human Body Temperature Screening
In this paper, we propose an automatic approach for localizing the inner...
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06/24/2020
Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite Matrices
In this paper, a model is presented to extract statistical summaries to ...
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06/24/2020
Automatic Estimation of Self-Reported Pain by Interpretable Representations of Motion Dynamics
We propose an automatic method for pain intensity measurement from video...
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06/06/2020
A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces
The 3D Morphable Model (3DMM) is a powerful statistical tool for represe...
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06/05/2020
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Current deep learning based autonomous driving approaches yield impressi...
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06/05/2020
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Autonomous vehicles are expected to drive in complex scenarios with seve...
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04/21/2020
Image Retrieval using Multi-scale CNN Features Pooling
In this paper, we address the problem of image retrieval by learning ima...
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03/22/2020
Visual Question Answering for Cultural Heritage
Technology and the fruition of cultural heritage are becoming increasing...
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10/09/2019
Text-to-Image Synthesis Based on Machine Generated Captions
Text to Image Synthesis refers to the process of automatic generation of...
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08/01/2019
Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition
In this paper, we tackle the problem of action recognition using body sk...
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02/27/2019
Fix Your Features: Stationary and Maximally Discriminative Embeddings using Regular Polytope (Fixed Classifier) Networks
Neural networks are widely used as a model for classification in a large...
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02/11/2019
Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification"
In this report, we provide additional and corrected results for the pape...
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05/29/2018
Semantic Road Layout Understanding by Generative Adversarial Inpainting
Autonomous driving is becoming a reality, yet vehicles still need to rel...
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11/17/2017