Paul Gavrikov - RankMe

28 papers A* 4Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When Negation Is a Geometry Problem in Vision-Language Models. CoRR Fawaz Sammani, Tzoulio Chamiti, Paul Gavrikov, Nikos Deligiannis
2025	A*	`conf`	Can We Talk Models Into Seeing the World Differently? ICLR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2025	J	`jnl`	GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. Trans. Mach. Learn. Res. Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass
2025	J	`jnl`	TTRV: Test-Time Reinforcement Learning for Vision Language Models. CoRR Akshit Singh, Shyam Marjit, Wei Lin, Paul Gavrikov, Serena Yeung-Levy, Hilde Kuehne, Rogério Feris, Sivan Doveh, James R. Glass, Muhammad Jehanzeb Mirza
2025	J	`jnl`	VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes. CoRR Paul Gavrikov, Wei Lin, Muhammad Jehanzeb Mirza, Soumya Jahagirdar, Muhammad Huzaifa, Sivan Doveh, Serena Yeung-Levy, James R. Glass, Hilde Kuehne
2024	J	`jnl`	Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2024	A*	`conf`	Can Biases in ImageNet Models Explain Generalization? CVPR Paul Gavrikov, Janis Keuper
2024	J	`jnl`	Can Biases in ImageNet Models Explain Generalization? CoRR Paul Gavrikov, Janis Keuper
2024	J	`jnl`	GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. CoRR Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass
2024	J	`jnl`	How Do Training Methods Influence the Utilization of Vision Models? CoRR Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper
2024	J	`jnl`	VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures. J. Open Source Softw. Willy Fitra Hendria, Paul Gavrikov
2023	—	`conf`	An Extended Study of Human-like Behavior under Adversarial Training. CVPR Workshops Paul Gavrikov, Janis Keuper, Margret Keuper
2023	J	`jnl`	An Extended Study of Human-like Behavior under Adversarial Training. CoRR Paul Gavrikov, Janis Keuper, Margret Keuper
2023	J	`jnl`	Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers. CoRR Paul Gavrikov, Janis Keuper
2023	J	`jnl`	Improving Native CNN Robustness with Filter Frequency Regularization. Trans. Mach. Learn. Res. Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper
2023	—	`conf`	On the Interplay of Convolutional Padding and Adversarial Robustness. ICCV (Workshops) Paul Gavrikov, Janis Keuper
2023	J	`jnl`	On the Interplay of Convolutional Padding and Adversarial Robustness. CoRR Paul Gavrikov, Janis Keuper
2023	J	`jnl`	Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters? CoRR Paul Gavrikov, Janis Keuper
2022	—	`conf`	Adversarial Robustness through the Lens of Convolutional Filters. CVPR Workshops Paul Gavrikov, Janis Keuper
2022	J	`jnl`	Adversarial Robustness through the Lens of Convolutional Filters. CoRR Paul Gavrikov, Janis Keuper
2022	J	`jnl`	An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters. CoRR Paul Gavrikov, Janis Keuper
2022	A*	`conf`	CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CVPR Paul Gavrikov, Janis Keuper
2022	J	`jnl`	CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CoRR Paul Gavrikov, Janis Keuper
2022	J	`jnl`	Does Medical Imaging learn different Convolution Filters? CoRR Paul Gavrikov, Janis Keuper
2022	A*	`conf`	Robust Models are less Over-Confident. NeurIPS Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
2022	J	`jnl`	Robust Models are less Over-Confident. CoRR Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
2020	J	`jnl`	Exploring Non-Idealities in Real Device Implementations of Bluetooth Mesh. Int. J. Interdiscip. Telecommun. Netw. Paul Gavrikov, Matthias Lai, Thomas Michael Wendt
2018	—	`conf`	Using Bluetooth Low Energy to trigger an ultra-low power FSK wake-up receiver. ICECS Paul Gavrikov, Pascal E. Verboket, Tolgay Ungan, Markus Muller, Matthias Lai, Christian Schindelhauer, Leonhard M. Reindl, Thomas M. Wendt