Luca Zappella

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 24

Top Topics

Structured Representations

Supervised Learning

Point Trajectories

Top Venues

Publications

Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. CoRR (2024)
Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML (2023)
Federico Danieli, Miguel Sarabia, Xavier Suau, Pau Rodríguez, Luca Zappella
DeepPCR: Parallelizing Sequential Operations in Neural Networks. CoRR (2023)
Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas
Robust multimodal models have outlier features and encode more concepts. CoRR (2023)
Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. INTERSPEECH (2023)
T. Anderson Keller, Xavier Suau, Luca Zappella
Homomorphic Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023)
Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR (2023)
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
DUET: 2D Structured and Approximately Equivariant Representations. ICML (2023)
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
DUET: 2D Structured and Approximately Equivariant Representations. CoRR (2023)
Aspen Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz
Designing Data: Proactive Data Collection and Iteration for Machine Learning. CoRR (2023)
Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros, Pau Rodríguez, Luca Zappella
DeepPCR: Parallelizing Sequential Operations in Neural Networks. NeurIPS (2023)
Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer
Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. CoRR (2023)
T. Anderson Keller, Xavier Suau, Luca Zappella
Homomorphic Self-Supervised Learning. CoRR (2022)
Aparna R. Joshi, Xavier Suau, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff
Fair SA: Sensitivity Analysis for Fairness in Face Recognition. CoRR (2022)
Nico Lingg, Miguel Sarabia, Luca Zappella, Barry-John Theobald
Contrastive Self-Supervised Learning for Skeleton Representations. CoRR (2022)
Xavier Suau Cuadros, Luca Zappella, Nicholas Apostoloff
Self-conditioning Pre-Trained Language Models. ICML (2022)
Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS (2021)
Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff
Fair SA: Sensitivity Analysis for Fairness in Face Recognition. AFCR (2021)
Xavier Suau, Luca Zappella, Nicholas Apostoloff
Self-conditioning pre-trained language models. CoRR (2021)
Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
Challenges of Adversarial Image Augmentations. CoRR (2021)
Xavier Suau, Luca Zappella, Nicholas Apostoloff
Finding Experts in Transformer Models. CoRR (2020)
Xavier Suau, Luca Zappella, Nicholas Apostoloff
Filter Distillation for Network Compression. WACV (2020)
Xavier Suau, Luca Zappella, Vinay Palakkode, Nicholas Apostoloff
Principal Filter Analysis for Guided Network Compression. CoRR (2018)
Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamín Béjar Haro, Luca Zappella, Sanjeev Khudanpur, René Vidal, Gregory D. Hager
A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. IEEE Trans. Biomed. Eng. 64 (9) (2017)
Muhammad Habib Mahmood, Luca Zappella, Yago Diez, Joaquim Salvi, Xavier Lladó
A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15). IbPRIA (2015)
Luca Zappella, Alessio Del Bue, Xavier Lladó, Joaquim Salvi
Joint estimation of segmentation and structure from motion. Comput. Vis. Image Underst. 117 (2) (2013)
Luca Zappella, Benjamín Béjar Haro, Gregory D. Hager, René Vidal
Surgical gesture classification from video and kinematic data. Medical Image Anal. 17 (7) (2013)
Lingling Tao, Luca Zappella, Gregory D. Hager, René Vidal
Surgical Gesture Segmentation and Recognition. MICCAI (3) (2013)
Benjamín Béjar Haro, Luca Zappella, René Vidal
Surgical Gesture Classification from Video Data. MICCAI (1) (2012)
Aastha Jain, Luca Zappella, Patrick McClure, René Vidal
Visual Dictionary Learning for Joint Object Categorization and Segmentation. ECCV (5) (2012)
Luca Zappella, Xavier Lladó, Edoardo Provenzi, Joaquim Salvi
Enhanced Local Subspace Affinity for feature-based motion segmentation. Pattern Recognit. 44 (2) (2011)
Luca Zappella, Alessio Del Bue, Xavier Lladó, Joaquim Salvi
Simultaneous motion segmentation and Structure from Motion. WACV (2011)
Luca Zappella, Edoardo Provenzi, Xavier Lladó, Joaquim Salvi
Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration. ACCV (3) (2010)
Luca Zappella, Xavier Lladó, Joaquim Salvi
Enhanced Model Selection for motion segmentation. ICIP (2009)
Luca Zappella, Xavier Lladó, Joaquim Salvi
Motion Segmentation: a Review. CCIA (2008)