Muhammad Jehanzeb Mirza

According to our database, Muhammad Jehanzeb Mirza authored at least 30 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes.

Paul Gavrikov, Wei Lin, Muhammad Jehanzeb Mirza, Soumya Jahagirdar, Muhammad Huzaifa, Sivan Doveh, Serena Yeung-Levy, James R. Glass, Hilde Kuehne

CoRR, September, 2025

KV Cache Steering for Inducing Reasoning in Small Language Models.

Max Belitsky, Dawid Jan Kopiczko, Michael Dorkenwald, Muhammad Jehanzeb Mirza, Cees G. M. Snoek, Yuki M. Asano

CoRR, July, 2025

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion.

Jacob A. Hansen, Wei Lin, Junmo Kang, Muhammad Jehanzeb Mirza, Hongyin Luo, Rogério Feris, Alan Ritter, James R. Glass, Leonid Karlinsky

CoRR, May, 2025

Overflow Prevention Enhances Long-Context Recurrent LLMs.

Assaf Ben-Kish, Itamar Zimerman, Muhammad Jehanzeb Mirza, James R. Glass, Leonid Karlinsky, Raja Giryes

CoRR, May, 2025

Can Diffusion Models Disentangle? A Theoretical Perspective.

Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong, Yuan Gong, Jiaqi Zhang, Brian H. Tracey, Katerina Placek, Marco Vilela, James R. Glass

CoRR, April, 2025

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models.

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

Trans. Mach. Learn. Res., 2025

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content.

Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models.

Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can We Talk Models Into Seeing the World Differently?

Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation.

Johannes Spöcklberger, Wei Lin, Pedro Hermosilla, Sivan Doveh, Horst Possegger, Muhammad Jehanzeb Mirza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Comparison Visual Instruction Tuning.

Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

TTT-KD: Test-Time Training for 3D Semantic Segmentation Through Knowledge Distillation From Foundation Models.

Lisa Weijler, Muhammad Jehanzeb Mirza, Leon Sick, Can Ekkazan, Pedro Hermosilla

Proceedings of the International Conference on 3D Vision, 2025

2024

Teaching VLMs to Localize Specific Objects from In-context Examples.

Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza

CoRR, 2024

Into the Fog: Evaluating Multiple Object Tracking Robustness.

Nadezda Kirillova, Muhammad Jehanzeb Mirza, Horst Possegger, Horst Bischof

CoRR, 2024

Towards Multimodal In-Context Learning for Vision & Language Models.

Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky

CoRR, 2024

Are Vision Language Models Texture or Shape Biased and Can We Steer Them?

Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper

CoRR, 2024

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs.

Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs.

Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Multimodal In-context Learning for Vision and Language Models.

Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Wei Lin, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Into the Fog: Evaluating Robustness of Multiple Object Tracking.

Nadezda Kirillova, Muhammad Jehanzeb Mirza, Horst Bischof, Horst Possegger

Proceedings of the 35th British Machine Vision Conference, 2024

2023

TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification.

Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Rogério Feris, Horst Bischof

CoRR, 2023

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections.

Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogério Feris, Horst Bischof

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions.

Stefan Leitner, Muhammad Jehanzeb Mirza, Wei Lin, Jakub Micorek, Marc Masana, Mateusz Kozinski, Horst Possegger, Horst Bischof

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

MATE: Masked Autoencoders are Online 3D Test-Time Learners.

Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof

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

Test-Time Adversarial Detection and Robustness for Localizing Humans Using Ultra Wide Band Channel Impulse Responses.

Abhiram Kolli, Muhammad Jehanzeb Mirza, Horst Possegger, Horst Bischof

Proceedings of the 31st European Signal Processing Conference, 2023

ActMAD: Activation Matching to Align Distributions for Test-Time-Training.

Muhammad Jehanzeb Mirza, Pol Jané-Soneira, Wei Lin, Mateusz Kozinski, Horst Possegger, Horst Bischof

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video Test-Time Adaptation for Action Recognition.

Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization.

Muhammad Jehanzeb Mirza, Jakub Micorek, Horst Possegger, Horst Bischof

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions.

Muhammad Jehanzeb Mirza, Marc Masana, Horst Possegger, Horst Bischof

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Robustness of Object Detectors in Degrading Weather Conditions.

Muhammad Jehanzeb Mirza, Cornelius Bürkle, Julio Jarquin, Michael Opitz, Fabian Oboril, Kay-Ulrich Scholl, Horst Bischof

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021