Posters

Diego Porres (CVC/UAB) - Guiding Attention in End-to-End Driving Models (IEEE Intelligent Vehicles Symposium 2024)

Josep Cabacas-Maso (UOC) - Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challenge (ECCV 2024 Workshops)

Jesús M. Rodríguez-De-Vera (UB) - LOFI: LOng-tailed FIne-Grained Network for Food Recognition (CVPR 2024 Workshops)

Alvaro Budria (IRI/Amazon) - InstantGeoAvatar: Efficient Geometry and Appearance Modeling of Animatable Avatars from Monocular Video (Asian Conference on Computer Vision 2024)

Lei Kang (CVC) - GRIF-DM: Generation of Rich Impression Fonts using Diffusion Models (ECAI 2024)

Marcelo Sanchez Ortega (UPF) - Real-Time High Resolution Image Inpainting On Edge Devices (WACV 2024)

César Acebes Pinilla (Hospital de la Santa Creu i Sant Pau) - The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy (MICCAI 2024)

David Anglada-Rotger (UPC) - Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning (CVPR 2024 Workshops)

Jordi Malé (La Salle) - Towards the Discovery of Down Syndrome Brain Biomarkers Using Generative Models (ECCV 2024 Workshops)

Álvaro Heredia-Lidón (La Salle) - A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures (MICCAI 2024 Workshops)

Ferran Gonzalez (AstraZeneca) - Benchmarking Generative Models for Antibody Design (NeurIPs 2024 Workshops)

Alexandre Olive Pellicer (Purdue University) - Generation of Synthetic Echocardiograms Using Video Diffusion Models (SSIAI)

Sai Natarajan (Galgo Medical S.L.) - Pixel2Mechanics: Automated Biomechanical Simulations of High-Resolution Intervertebral Discs from Anisotropic MRIs (MICCAI)

Carles Sanchez (CVC) - Optimizing Point of Entry Location in Lung Biopsy Planning Systems Through Heatmaps (ISBI 2024)

Guillem Arias (CVC/UAB) - Color in Visual-Language Models: CLIP deficiencies (IS&T's Color and Imaging Conference)

Andreas Kaltenbrunner (UOC) - Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings (Transactions on Machine Learning Research)

Sergi Masip Cabeza (KU Leuven) -  Continual Learning of Diffusion Models with Generative Distillation (CoLLAs)

Pol Puigdemont (EPFL) -  Learning to Remove Cuts in Integer Linear Programming (ICML)

Elena Ortega (UOC) - Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis (ECCV 2024 Workshops)

Marc Casals-Salvador (BSC) - BSC-UPC at EmoSPeech-IberLEF2024: Attention Pooling for Emotion Recognition (SEPLN 2024)

Daniel Tamayo (BSC) - Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge (ACL 2024)

José Giraldo (BSC) - Enhancing Crowdsourced Audio for Text-to-Speech Models (IberSpeech 2024)

Anton Okhotnikov (ID R&D Inc. ) - Reshape Dimensions Network for Speaker Recognition (InterSpeech 2024)

Roser Batlle Roca (UPF) - Towards Assessing Data Replication in Music Generation with Music Similarity Metrics on Raw Audio (ISMIR 2024)

Mona Ashtari-Majlan (UOC) - Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging 

Sergi Rubio (La Salle) - Emotion-Conditioned Music Synthesis; Integrating facial expression recognition with spectrogram generation

Gabriel A. Carneiro (University of Trás-Os-Montes e Alto Douro) - Masked Autoencoders for Automatic Grapevine Variety Classification

Adria Mallol-Ragolta (Technical University of Munich) - Wearable Health Intelligence in the COVID-19 Crisis

Ahmad AlMughrabi (UB) - The winner approach at MetaFood Challenge (CVPR 2024 Workshops)

J. Vazquez-Corral (CVC) - NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement (AAAI)

Nil Biescas (CVC) - LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation Approach (ECCV & ICDAR)

Adonis González-Godoy (UOC) - Explainable Automatic Detection of Fiber-Cement Roofs in Aerial RGB Images (Remote Sensing - MDPI)

Natalia Muñoz Moruno (UPF) - Exploring Quantum Generative Models: A Benchmark Analysis (Quantum Techniques in Machine Learning)

Adam Philips (UPF) - Visual Motif Identification: Elaboration of a Curated Comparative Dataset and Classification Methods (ECCV 2024 workshops)

Michael J. Smith (Aspia Space) - AstroPT: Scaling Large Observation Models for Astronomy (ICML 2024 workshops)

Oscar Pina (UPC) - Cell-DETR: Efficient Cell Detection and Classification in Whole Slide Images with Transformers (Medical Imaging with Deep Learning)

Zahra Elhamraoui (CRG) - Theoretical Assessment of Indistinguishable Peptides in Mass Spectrometry-Based Proteomics (Analytical chemistery)

Xavi F. Aragones (UPF) - Quantum Machine Learning in Biomedical Applications: A Comparative Study (QTML 2024)

Guillermo Torres (CVC/UAB) - Radiomics and Clinical Data for the Diagnosis of Incidental Pulmonary Nodules and Lung Cancer Screening: Radiolung Integrative Predictive Model (Archivos de bronconeumologia (2024))

Debora Gil (CVC/UAB) - Diagnosis of Helicobacter pylori in a Dataset with Limited Annotations using AutoEncoders for the Detection of Anomalous Staining Patterns in Immunohistochemically stained Whole Slide Images (IJCARS)

Lucas Ventura (Inria / École des Ponts ParisTech) - CoVR-2: Automatic Data Construction for Composed Video Retrieval (TPAMI)

Federico Costa (BSC) - Double Multi-Head Attention Multimodal System for Odyssey 2024 Speech Emotion Recognition Challenge (Proc. The Speaker and Language Recognition Workshop (Odyssey 2024))

Àlex Pujol Vidal (Aalborg University) - Verifying Machine Unlearning with Explainable AI (ICPR2024)

Cedric Malherbe (AstraZeneca) - Measures of diversity and  space-filling designs  for categorical data (ICML2024)

Anna Arias-Duart (BSC) - A Confusion Matrix for Evaluating Feature Attribution Methods (CVPR 2023 workshops)

Bhalaji Nagarajan (UB) - Bayesian DivideMix++ for Enhanced Learning with Noisy Labels (Journal Neural Networks)

Sikha O K (UPF) - Interpreting CNN predictions using conditional generative adversarial networks (Knowledge-Based Systems (IF:7.2))

Alfonso Amayuelas (University of California, Santa Barbara) - MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate (EMNLP 2024) 

Ignasi NOU-PLANA (La Salle) - The DeuteroNoise Dataset: An Initial Exploration of an Underwater Vessel Sound Dataset Within the Framework of a JPI-Oceans Project (CCIA 2024)

Ester Vidaña-Vila (La Salle) - Analysis of Representation and Generalization Capabilities of Pre-Trained Audio Models in Urban Environments (Internoise)

Daniel Roncel (BSC) - On the Use of Audio to Improve Dialogue Policies (IberSpeech 2024)

Alex Peiró-Lilja (BSC) - LaFresCat: A Catalan Multi-Accent Speech Dataset for Text-to-Speech (IberSpeech 2024)

Mykola Trokhymovych (UPF) - Fair Multilingual Vandalism Detection System for Wikipedia (KDD 2023)

Pedro Ramoneda (UPF) - Music Proofreading with RefinPaint: Where and How to Modify Compositions given Context (ISMIR 2024)

Ona de Gibert (University of Helsinki) - OpusDistillery: A Configurable End-to-End Pipeline for Systematic Multilingual Distillation of Open NMT Models 

Changhui Hu (UB) - Adaptive Vision-Language Prompt Learners for Learning with Noisy Labels

Mohammad Usman (UB) - In vivo reprogramming to rescue alterations in Huntington’s disease

Recep Oguz Araz (UPF) - Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identification

Biel Tura Vecino (Amazon) - Universal Semantic Disentangled Privacy-preserving Speech Representation Learning