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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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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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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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04/02/2023
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Recent advancements in diffusion models have enabled the generation of r...
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03/21/2023
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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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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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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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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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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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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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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06/02/2021
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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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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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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12/17/2019
M^2: Meshed-Memory Transformer for Image Captioning
Transformer-based architectures represent the state of the art in sequen...
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11/27/2019
Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a challenging task in which an a...
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10/07/2019
SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability
The ability to generate natural language explanations conditioned on the...
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03/04/2019
M-VAD Names: a Dataset for Video Captioning with Naming
Current movie captioning architectures are not capable of mentioning cha...
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11/26/2018
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
The applicability of computer vision to real paintings and artworks has ...
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11/26/2018
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
Current captioning approaches can describe images using black-box archit...
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06/26/2017
Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention
Image captioning has been recently gaining a lot of attention thanks to ...
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11/29/2016
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Data-driven saliency has recently gained a lot of attention thanks to th...
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09/05/2016
