Posters

Daniele Atzeni (URL) - Data-Driven Insights through Industrial Retrofitting: An Anonymized Dataset with Machine Learning Use Cases (Sensors journal)

Andreas Kaltenbrunner (UOC) - Beyond Weisfeiler–Lehman with Local Ego-Network Encodings (Learning on Graphs 2022) (Machine Learning and Knowledge Extraction journal)

Javier Vázquez-Corral (CVC) - Perceptual Image Enhancement for Smartphone Real-Time Applications (WACV 2023)

Jordi Malé (URL) - Single-Landmark vs. Multi-Landmark Deep Learning Approaches to Brain MRI Landmarking: a Case Study with Healthy Controls and Down Syndrome Individuals (BMVC 2023)

Mariona Carós (UB) - Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data (MVA 2023)

Mireia Masias (UPF) - Predicting structural brain trajectories with discrete optimal transport normalizing flows (CARS 2023)

Mohammad MAhdi Dehshibi (UC3M) - ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks (Visual Computer journal)

Jesús M. Rodríguez-de-Vera (UB) - Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition 

Pablo Alonso Jiménez  & Dmitry Bogdanov (UPF) - Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity (ICASSP 2023)

Ester Vidaña-Vila (URL) - Automatic Detection of Cow Vocalizations using Convolutional Neural Networks (DCASE 2023)

Hassan Hayat (UOC) - Predicting the Subjective Responses’ Emotion in Dialogues with Multi-Task Learning (IbPRIA 2023)

Carles Civit (UOC) - On the use of Vision-Language models for Visual Sentiment Analysis: a study on CLIP (ACII 2023)

Victor Vallés Medina (URL) - EduSign: Real-time Application for Spanish Sign Language Recognition (CCIA 2023)

Elena Ortega Beltran (UOC) - Zero-Shot Prediction for Emotion Recognition Using Deep Spectrum Features (CCIA 2023)

Vicent Caselles Ballester (UOC) - A triplanar nn-UNet approach for maxillofacial  nerve segmentation (MICCAI 2023)

Meritxell Riera i Marín (Sycai Medical - UPF) - Classification of Pancreatic Cystic Lesions with multiple annotators merging techniques (CARS 2023)

Miriam Barrabés (Stanford) - Genomic Databases Homogenization with Machine Learning (BIBM 2023)

Roger Creus Castanyer (Mila Quebec & University of Montreal) - Improving Intrinsic Exploration by Creating Stationary Objectives 

Umair Haroon (UB) - VolE: A Precise and Accurate Object Volume Estimation 

Joana Rosell-Mirmi (VHIR) - Leveraging protein-protein interactions in phenotype prediction through graph neural networks 

Xavi Gonzalvo (Google) - Deep Fusion: Efficient Network Training via Pre-trained Initializations (ICML 2023 w)

Joel Castaño Fernández (UPC) - Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study (ESEM)

Juan A. Rodríguez (ServiceNow) - Text to Scientific Figure Generation (WACV & ICLR tiny 2023)

Petia Radeva (UB) - Continual Evidential Deep Learning for Out-of-Distribution Detection (ICCV 2023 w)

Roger Marí (Centre Borelli - ENS Paris-Saclay) - Multi-Date Earth Observation NeRF: The Detail Is in the Shadows (CVPR 2023 w)

Ayan Banerjee (CVC - UAB) - SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation (ICDAR 2023)

Danna Xue (CVC - UAB) - Burst Perception-Distortion Tradeoff: Analysis and Evaluation (ICASSP 2023)

Sikha O. K. (UPF - UPC) - Ante-Hoc Generation of Task-Agnostic Interpretation Maps (CVPRW- 2023)

Lucas Ventura (École des Ponts ParisTech) - CoVR: Learning Composed Video Retrieval from Web Video Captions (AAAI 2024)

Miguel Angel González Ballester (UPF) - Multi-Head Multi-Loss Model Calibration (MICCAI 2023)

Sai Natarajan (Galgo Medical S.L.) - MRI2Mesh: Intervertebral Disc Mesh Generation from Low Resolution MRI Using Graph Neural Networks with Cross Level Feature Fusion (ISBI 2023)

Laia Tarrés (UPC) - Sign Language Translation for Instructional Videos (CVPR - WiCV 2023) 

Guillem Cortés Sebastià (UPF) - BAF: An Audio Fingerprinting Dataset for Broadcast Monitoring (ISMIR 2022)

Anton Okhotnikov (ID R&D Inc.) - A Subnetwork Approach for Spoofing Aware Speaker Verification (Interspeech 2022)

Bhalaji Nagarajan (UB) - Bayesian Dividemix++ for Enhanced Learning with Noisy Labels 

Davoud Omarzadeh (UOC) - Automatic detection of asbestos rooftop using an integration of deep learning and remote sensing 

Oscar Mañas (Mila Quebec - University of Montreal) - Improving Automatic VQA Evaluation Using Large Language Models 

Ahmad Almughrabi (UB) - MomentsNeRF: Incorporating Orthogonal Moments in Convolutional Neural Networks for One or Few-Shot Neural Rendering 

Pere Gilabert (UB) - Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy 

Fernando López (Telefónica I+D) - Robust Wake-up Word Detection by Two-Stage Multi-Resolution Ensembles