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09/11/2023
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data
The inexorable growth of online shopping and e-commerce demands scalable...
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08/23/2023
With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning
Image captioning, like many tasks involving vision and language, current...
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08/22/2023
TrackFlow: Multi-Object Tracking with Normalizing Flows
The field of multi-object tracking has recently seen a renewed interest ...
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08/09/2023
Volumetric Fast Fourier Convolution for Detecting Ink on the Carbonized Herculaneum Papyri
Recent advancements in Digital Document Restoration (DDR) have led to si...
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07/24/2023
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components
Neural Radiance Fields (NeRFs) have gained widespread recognition as a h...
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07/18/2023
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation
Research in Image Generation has recently made significant progress, par...
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06/12/2023
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
The use of self-supervised pre-training has emerged as a promising appro...
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05/22/2023
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
The rapidly evolving fields of e-commerce and metaverse continue to seek...
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05/04/2023
How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning
Recent advancements in Deep Learning-based Handwritten Text Recognition ...
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04/04/2023
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing
Fashion illustration is used by designers to communicate their vision an...
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04/04/2023
Multi-Class Explainable Unlearning for Image Classification via Weight Filtering
Machine Unlearning has recently been emerging as a paradigm for selectiv...
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04/04/2023
Evaluating Synthetic Pre-Training for Handwriting Processing Tasks
In this work, we explore massive pre-training on synthetic word images f...
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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
Handwritten Text Generation from Visual Archetypes
Generating synthetic images of handwritten text in a writer-specific sty...
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03/21/2023
Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation
The CLIP model has been recently proven to be very effective for a varie...
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02/13/2023
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
There is a recent growing interest in applying Deep Learning techniques ...
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01/27/2023
Input Perturbation Reduces Exposure Bias in Diffusion Models
Denoising Diffusion Probabilistic Models have shown an impressive genera...
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01/17/2023
Embodied Agents for Efficient Exploration and Smart Scene Description
The development of embodied agents that can communicate with humans in n...
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08/17/2022
Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions
Handwritten Text Recognition (HTR) in free-layout pages is a challenging...
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08/16/2022
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition
Handwritten Text Recognition (HTR) is an open problem at the intersectio...
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08/10/2022
Consistency-based Self-supervised Learning for Temporal Anomaly Localization
This work tackles Weakly Supervised Anomaly detection, in which a predic...
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07/29/2022
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval
Image-text matching is gaining a leading role among tasks involving the ...
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07/26/2022
Retrieval-Augmented Transformer for Image Captioning
Image captioning models aim at connecting Vision and Language by providi...
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06/17/2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximizing the separation between classes constitutes a well-known induc...
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04/25/2022
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
Human trajectory forecasting is a key component of autonomous vehicles, ...
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04/19/2022
Embodied Navigation at the Art Gallery
Embodied agents, trained to explore and navigate indoor photorealistic e...
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04/18/2022
Dress Code: High-Resolution Multi-Category Virtual Try-On
Image-based virtual try-on strives to transfer the appearance of a cloth...
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04/18/2022
Spot the Difference: A Novel Task for Embodied Agents in Changing Environments
Embodied AI is a recent research area that aims at creating intelligent ...
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03/09/2022
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting
Accurate prediction of future human positions is an essential task for m...
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02/21/2022
CaMEL: Mean Teacher Learning for Image Captioning
Describing images in natural language is a fundamental step towards the ...
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11/24/2021
Universal Captioner: Inducing Content-Style Separation in Vision-and-Language Model Training
While captioning models have obtained compelling results in describing n...
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10/21/2021
Multi-Category Mesh Reconstruction From Image Collections
Recently, learning frameworks have shown the capability of inferring the...
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09/14/2021
Focus on Impact: Indoor Exploration with Intrinsic Motivation
Exploration of indoor environments has recently experienced a significan...
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08/31/2021
Working Memory Connections for LSTM
Recurrent Neural Networks with Long Short-Term Memory (LSTM) make use of...
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08/21/2021
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
Deep learning-based methods for video pedestrian detection and tracking ...
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07/14/2021
From Show to Tell: A Survey on Image Captioning
Connecting Vision and Language plays an essential role in Generative Int...
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06/21/2021
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Gesture recognition is a fundamental tool to enable novel interaction pa...
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06/02/2021
Learning to Select: A Fully Attentive Approach for Novel Object Captioning
Image captioning models have lately shown impressive results when applie...
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05/12/2021
Out of the Box: Embodied Navigation in the Real World
The research field of Embodied AI has witnessed substantial progress in ...
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04/20/2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
As the request for deep learning solutions increases, the need for expla...
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02/15/2021
RMS-Net: Regression and Masking for Soccer Event Spotting
The recently proposed action spotting task consists in finding the exact...
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07/20/2020
Inter-Homines: Distance-Based Risk Estimation for Human Safety
In this document, we report our proposal for modeling the risk of possib...
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07/14/2020
Explore and Explain: Self-supervised Navigation and Recounting
Embodied AI has been recently gaining attention as it aims to foster the...
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07/01/2020
Future Urban Scenes Generation Through Vehicles Synthesis
In this work we propose a deep learning pipeline to predict the visual f...
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05/26/2020
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting
Understanding human motion behaviour is a critical task for several poss...
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05/17/2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction
Anticipating human motion in crowded scenarios is essential for developi...
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04/27/2020
A Novel Attention-based Aggregation Function to Combine Vision and Language
The joint understanding of vision and language has been recently gaining...
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04/01/2020
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
In this paper we present a novel approach for bottom-up multi-person 3D ...
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03/31/2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
Convolutional Neural Networks experience catastrophic forgetting when op...
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12/17/2019