Mario Lucic
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
10
Active years
2015–2024
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | On Scaling Up a Multilingual Vision and Language Model. | Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut |
| 2024 | CVPR | End-to-End Spatio-Temporal Action Localisation with Video Transformers. | Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab |
| 2023 | CVPR | RUST: Latent Neural Scene Representations from Unposed Imagery. | Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff |
| 2023 | ICCV | Audiovisual Masked Autoencoders. | Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab |
| 2023 | ICCV | Video OWL-ViT: Temporally-consistent open-world localization in video. | Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf |
| 2023 | ICML | Scaling Vision Transformers to 22 Billion Parameters. | Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby |
| 2022 | CVPR | Which Model to Transfer? Finding the Needle in the Growing Haystack. | Cdric Renggli, Andr Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic |
| 2022 | CVPR | Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. | Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi |
| 2021 | CVPR | On Robustness and Transferability of Convolutional Neural Networks. | Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic |
| 2021 | ICCV | ViViT: A Video Vision Transformer. | Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid |
| 2021 | WACV | Representation learning from videos in-the-wild: An object-centric approach. | Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic |
| 2020 | AAAI | A Commentary on the Unsupervised Learning of Disentangled Representations. | Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem |
| 2020 | AISTATS | Precision-Recall Curves Using Information Divergence Frontiers. | Josip Djolonga, Mario Lucic, Marco Cuturi, Olivier Bachem, Olivier Bousquet, Sylvain Gelly |
| 2020 | CVPR | Self-Supervised Learning of Video-Induced Visual Invariances. | Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic |
| 2020 | ICLR | On Mutual Information Maximization for Representation Learning. | Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic |
| 2019 | CVPR | Self-Supervised GANs via Auxiliary Rotation Loss. | Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby |
| 2019 | ICLR | On Self Modulation for Generative Adversarial Networks. | Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly |
| 2019 | ICLR | Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. | Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem |
| 2019 | ICML | A Large-Scale Study on Regularization and Normalization in GANs. | Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly |
| 2019 | ICML | Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. | Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rtsch, Sylvain Gelly, Bernhard Schlkopf, Olivier Bachem |
| 2019 | ICML | High-Fidelity Image Generation With Fewer Labels. | Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly |
| 2018 | AISTATS | One-shot Coresets: The Case of k-Clustering. | Olivier Bachem, Mario Lucic, Silvio Lattanzi |
| 2018 | KDD | Scalable k -Means Clustering via Lightweight Coresets. | Olivier Bachem, Mario Lucic, Andreas Krause |
| 2017 | ICML | Distributed and Provably Good Seedings for k-Means in Constant Rounds. | Olivier Bachem, Mario Lucic, Andreas Krause |
| 2017 | ICML | Uniform Deviation Bounds for k-Means Clustering. | Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause |
| 2016 | AAAI | Approximate K-Means++ in Sublinear Time. | Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause |
| 2016 | AISTATS | Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures. | Mario Lucic, Olivier Bachem, Andreas Krause |
| 2016 | ESORICS | Quantifying Location Privacy Leakage from Transaction Prices. | Arthur Gervais, Hubert Ritzdorf, Mario Lucic, Vincent Lenders, Srdjan Capkun |
| 2016 | ICML | Horizontally Scalable Submodular Maximization. | Mario Lucic, Olivier Bachem, Morteza Zadimoghaddam, Andreas Krause |
| 2016 | IJCAI | Linear-Time Outlier Detection via Sensitivity. | Mario Lucic, Olivier Bachem, Andreas Krause |
| 2015 | AISTATS | Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning. | Mario Lucic, Mesrob I. Ohannessian, Amin Karbasi, Andreas Krause |
| 2015 | ICML | Coresets for Nonparametric Estimation - the Case of DP-Means. | Olivier Bachem, Mario Lucic, Andreas Krause |