| 3D human pose estimation in video with temporal convolutions and semi-supervised training D Pavllo, C Feichtenhofer, D Grangier, M Auli IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 7753-7762, 2019 | 1393 | 2019 |
| QuaterNet: A Quaternion-based Recurrent Model for Human Motion D Pavllo, D Grangier, M Auli British Machine Vision Conference (BMVC), 2018 | 326 | 2018 |
| Modeling Human Motion with Quaternion-based Neural Networks D Pavllo, C Feichtenhofer, M Auli, D Grangier International Journal of Computer Vision (IJCV), 2019 | 201 | 2019 |
| Convolutional Generation of Textured 3D Meshes D Pavllo, G Spinks, T Hofmann, MF Moens, A Lucchi Advances in Neural Information Processing Systems (NeurIPS), 2020 | 67 | 2020 |
| Hierarchical image classification using entailment cone embeddings A Dhall, A Makarova, O Ganea, D Pavllo, M Greeff, A Krause Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 64 | 2020 |
| Learning Generative Models of Textured 3D Meshes from Real-World Images D Pavllo, J Kohler, T Hofmann, A Lucchi IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 56 | 2021 |
| Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers S Anagnostidis, D Pavllo, L Biggio, L Noci, A Lucchi, T Hofmann Advances in Neural Information Processing Systems (NeurIPS), 2023 | 50 | 2023 |
| Controlling Style and Semantics in Weakly-Supervised Image Generation D Pavllo, A Lucchi, T Hofmann European Conference on Computer Vision (ECCV), 482-499, 2020 | 44 | 2020 |
| Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion D Pavllo, DJ Tan, MJ Rakotosaona, F Tombari IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4391-4401, 2023 | 33 | 2023 |
| Quootstrap: Scalable Unsupervised Extraction of Quotation-Speaker Pairs from Large News Corpora via Bootstrapping D Pavllo, T Piccardi, R West Proceedings of the Twelfth International AAAI Conference on Web and Social …, 2018 | 24 | 2018 |
| Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces Z Sheebaelhamd, K Zisis, A Nisioti, D Gkouletsos, D Pavllo, J Kohler International Conference on Machine Learning (ICML) Workshops, 2021 | 19 | 2021 |
| Real-time marker-based finger tracking with neural networks D Pavllo, T Porssut, B Herbelin, R Boulic 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 651-652, 2018 | 10 | 2018 |
| Vanishing Curvature in Randomly Initialized Deep ReLU Networks. A Orvieto, J Kohler, D Pavllo, T Hofmann, A Lucchi AISTATS, 7942-7975, 2022 | 9 | 2022 |
| Vanishing Curvature and the Power of Adaptive Methods in Randomly Initialized Deep Networks A Orvieto, J Kohler, D Pavllo, T Hofmann, A Lucchi AISTATS, 2021 | 9 | 2021 |
| Real-time finger tracking using active motion capture: A neural network approach robust to occlusions D Pavllo, T Porssut, B Herbelin, R Boulic Proceedings of the 11th ACM SIGGRAPH Conference on Motion, Interaction and …, 2018 | 9 | 2018 |
| Structured Generative Models for Controllable Scene and 3D Content Synthesis D Pavllo ETH Zurich, 2023 | | 2023 |
David GrangierApple Machine Learning Researchapple.com의 이메일 확인됨