Lucas Stoffl

According to our database, Lucas Stoffl authored at least 6 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

CoRR, 2024

Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders.

Lucas Stoffl, Andy Bonnetto, Stéphane d'Ascoli, Alexander Mathis

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity.

Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

End-to-End Trainable Multi-Instance Pose Estimation with Transformers.

Lucas Stoffl, Maxime Vidal, Alexander Mathis

CoRR, 2021

2020

How are response properties in the middle temporal area related to inference on visual motion patterns?

Omid Rezai, Lucas Stoffl, Bryan P. Tripp

Neural Networks, 2020

2017

On the use of deep recurrent neural networks for detecting audio spoofing attacks.

Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017