Talks
Note: a global program view can be found here. The program is still subject to minor modifications.
Wednesday 22 - Morning (9:00-13:00)
Opening:
Chair: Cristian Canton (Meta)9:00 - Opening remarks
Session 1: 3D
Chairs: Coloma Ballester (UPF) & Albert Pumarola (Meta)9:15 - Javier Romero (Meta) - Learning realistic human reposing using cyclic self-supervision with 3D shape, pose, and appearance consistency (CVPR 2021)
9:30 - Dan Casas (URJC) - Self-supervised collision handling via generative 3D garment models for virtual try-on (CVPR 2021)
9:45 - Enric Corona (IRI) - SMPLicit: topology-aware generative model for clothed people (CVPR 2021)
10:00 - Eduard Ramon (Crisalix/UPC) - H3D-Net: few-shot high-fidelity 3D head reconstruction (ICCV 2021)
10:15 - Guillem Brasó (TUM) - The center of attention: center-keypoint grouping via attention for multi-person pose estimation (ICCV 2021)
Session 2: Natural Language & Multi-modal
Chairs: Àgata Lapedriza (UOC) & Marta R. Costa-jussà (UPC)11:30 - Xixian Liao (UPF) - Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution (CoNLL 2021)
11:45 - Jordi Armengol (BSC) - Are multilingual models the best choice for moderately under-resourced languages? A comprehensive assessment for Catalan (Findings-ACL 2021)
12:00 - Gemma Boleda (UPF) - Object naming: The ManyNames dataset and what it tells us about language and Computer Vision models (related to this COLING 2021)
12:15 - Amaia Salvador (Amazon) - Revamping cross-modal recipe retrieval With hierarchical transformers and self-supervised learning (CVPR 2021)
12:30 - Lucas Ventura (UPC) - How2Sign: a large-scale multimodal dataset for continuous american sign language (CVPR 2021)
12:45 - Núria Marzo (MIT) - Detecting natural disasters, damage, and incidents in the wild (ECCV 2020)
Wednesday 22 - Afternoon (14:30-19:00)
Session 3: Computer Vision & Audio
Chairs: Javier Vázquez & Dimosthenis Karatzas (UAB-CVC)14:30 - Alejandro Hernandez Ruiz (IRI/UPC) - Neural manifolds and dynamic networks (CVPR 2021)
14:45 - Luís Herranz (CVC-UAB) - Slimmable compressive autoencoders for practical neural image compression (CVPR 2021)
15:00 - Òscar Mañas (Element AI) - Seasonal contrast: unsupervised pre-training from uncurated remote sensing data (ICCV 2021)
15:15 - Dídac Surís (Columbia) - Learning the predictability of the future (CVPR 2021)
15:30 - Jordi Pons (Dolby Labs) - Upsampling artifacts in neural audio synthesis (ICASSP 2021)
15:45 - Santiago Pascual (Dolby Labs) - Adversarial auto-encoding for packet loss concealment (WASPAA 2021)
Keynote 1 (online)
Chair: Xavi Giró (UPC-IDEAI & IRI)17:00 - Joan Bruna (NYU) - Geometric Deep Learning: Prospects and Challenges (2021)
Careers
Thursday 23 - Morning (9:30-13:00)
Panel
Chair Petia Radeva (UB-CVC)9:30 - Panel: "Research in Deep learning: the vision of the industry".
Session 4: Life Sciences
Chairs: Carles Ventura (UOC)11:30 - Adrià Mallol-Ragolta (Augsburg) - Cough-based COVID-19 detection with contextual attention convolutional neural networks and gender information (INTERSPEECH 2021)
11:45 - Davide Cirillo (BSC) - Artificial intelligence in cancer research: learning at different levels of data granularity (Molecular Oncology)
12:00 - Daniel Mas (Stanford) - LAI-Net: local-ancestry inference with neural networks (AHSG & SMBE 2021)
12:15 - Giuseppe Pezzano (Eurecat/UB) - CoLe-CNN+: context learning-convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation (Computers in Biology & Medicine)
12:15 - Adrian Galdran (UPF) - Balanced-MixUp for highly imbalanced medical image classification (MICCAI 2021)
12:30 - Miguel A. González Ballester (UPF) - Re-identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks (Medical Image Analysis)
Careers
12:45 - Data Science CORE (RD) team at Glovo.
Thursday 23 - Afternoon (14:30-18:15)
Keynote 2
Chair: Gemma Boleda14:30 - Joan Serrà (Dolby Labs) - Universal, generative speech enhancement.
Session 5: Machine Learning from NeurIPS 2021
Chair: Àgata Lapedriza (UOC)16:30 - Roberto Dessì (Meta-UPF) - Interpretable agent communication from scratch (with a generic visual processor emerging on the side) (NeurIPS 2021)
16:45 - Pau Rodríguez (Element AI) - Continual Learning with Local Module Composition (NeurIPS 2021).
17:00 - Manel Baradad (MIT) - Learning to see by looking at noise (NeurIPS 2021)
17:15 - Víctor Garcia (UoA) - E(n) Equivariant normalizing flows (NeurIPS 2021)
17:30 - José M. Álvarez (NVidia) - Deep learning at scale (NeurIPS 2021)
17:45 - Ferran Alet (MIT) - Learning to encode and discover inductive biases (NeurIPS 2021)
Closing
Chair: Xavi Giró (UPC IDEAI & IRI)18:00 - Closing remarks