On the use of deep recurrent neural networks for detecting audio spoofing attacks. - Simone Scardapane; Lucas Stoffl; Florian Röhrbein; Aurelio Uncini (IJCNN, 2017)

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)

End-to-End Trainable Multi-Instance Pose Estimation with Transformers. - Lucas Stoffl; Maxime Vidal; Alexander Mathis (CoRR, 2021)

Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity. - Mu Zhou; Lucas Stoffl; Mackenzie Weygandt Mathis; Alexander Mathis (ICCV, 2023)

Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders. - Lucas Stoffl; Andy Bonnetto; Stéphane d'Ascoli; Alexander Mathis (ECCV (64), 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; et al. (CoRR, 2024)

MUSt3R: Multi-view Network for Stereo 3D Reconstruction. - Yohann Cabon; Lucas Stoffl; Leonid Antsfeld; Gabriela Csurka; Boris Chidlovskii; Jérôme Revaud; Vincent Leroy 003 (CVPR, 2025)