QuaterNet: A Quaternion-based Recurrent Model for Human Motion. - Dario Pavllo; David Grangier; Michael Auli (BMVC, 2018)

Quootstrap: Scalable Unsupervised Extraction of Quotation-Speaker Pairs from Large News Corpora via Bootstrapping. - Dario Pavllo; Tiziano Piccardi; Robert West 001 (ICWSM, 2018)

Real-time finger tracking using active motion capture: a neural network approach robust to occlusions. - Dario Pavllo; Thibault Porssut; Bruno Herbelin; Ronan Boulic (MIG, 2018)

Real-Time Marker-Based Finger Tracking with Neural Networks. - Dario Pavllo; Thibault Porssut; Bruno Herbelin; Ronan Boulic (VR, 2018)

3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. - Dario Pavllo; Christoph Feichtenhofer; David Grangier; Michael Auli (CVPR, 2019)

Real-time neural network prediction for handling two-hands mutual occlusions. - Dario Pavllo; Mathias Delahaye; Thibault Porssut; Bruno Herbelin; Ronan Boulic (Comput. Graph. X, 2019)

Hierarchical Image Classification using Entailment Cone Embeddings. - Ankit Dhall; Anastasia Makarova; Octavian Ganea; Dario Pavllo; Michael Greeff; Andreas Krause 001 (CVPR Workshops, 2020)

Controlling Style and Semantics in Weakly-Supervised Image Generation. - Dario Pavllo; Aurélien Lucchi; Thomas Hofmann 001 (ECCV (6), 2020)

Convolutional Generation of Textured 3D Meshes. - Dario Pavllo; Graham Spinks; Thomas Hofmann 001; Marie-Francine Moens; Aurélien Lucchi (NeurIPS, 2020)

Modeling Human Motion with Quaternion-Based Neural Networks. - Dario Pavllo; Christoph Feichtenhofer; Michael Auli; David Grangier (Int. J. Comput. Vis., 2020)

Learning Generative Models of Textured 3D Meshes from Real-World Images. - Dario Pavllo; Jonas Kohler; Thomas Hofmann 001; Aurélien Lucchi (ICCV, 2021)

Vanishing Curvature and the Power of Adaptive Methods in Randomly Initialized Deep Networks. - Antonio Orvieto; Jonas Kohler; Dario Pavllo; Thomas Hofmann 001; Aurélien Lucchi (CoRR, 2021)

Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces. - Ziyad Sheebaelhamd; Konstantinos Zisis; Athina Nisioti; Dimitris Gkouletsos; Dario Pavllo; Jonas Kohler (CoRR, 2021)

Vanishing Curvature in Randomly Initialized Deep ReLU Networks. - Antonio Orvieto; Jonas Kohler; Dario Pavllo; Thomas Hofmann 001; Aurélien Lucchi (AISTATS, 2022)

Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion. - Dario Pavllo; David Joseph Tan; Marie-Julie Rakotosaona; Federico Tombari (CVPR, 2023)

Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. - Sotiris Anagnostidis; Dario Pavllo; Luca Biggio; Lorenzo Noci; Aurélien Lucchi; Thomas Hofmann 001 (NeurIPS, 2023)

Structured Generative Models for Controllable Scene and 3D Content Synthesis. - Dario Pavllo (2023)