Robustness of Object Detectors in Degrading Weather Conditions. - Muhammad Jehanzeb Mirza; Cornelius Bürkle; Julio Jarquin; Michael Opitz; Fabian Oboril; Kay-Ulrich Scholl; Horst Bischof (ITSC, 2021)

An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions. - Muhammad Jehanzeb Mirza; Marc Masana; Horst Possegger; Horst Bischof (CVPR Workshops, 2022)

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization. - Muhammad Jehanzeb Mirza; Jakub Micorek; Horst Possegger; Horst Bischof (CVPR, 2022)

Video Test-Time Adaptation for Action Recognition. - Wei Lin 019; Muhammad Jehanzeb Mirza; Mateusz Kozinski; Horst Possegger; Hilde Kuehne; Horst Bischof (CVPR, 2023)

ActMAD: Activation Matching to Align Distributions for Test-Time-Training. - Muhammad Jehanzeb Mirza; Pol Jané-Soneira; Wei Lin 019; Mateusz Kozinski; Horst Possegger; Horst Bischof (CVPR, 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 (EUSIPCO, 2023)

MATE: Masked Autoencoders are Online 3D Test-Time Learners. - Muhammad Jehanzeb Mirza; Inkyu Shin; Wei Lin 019; Andreas Schriebl; Kunyang Sun; Jaesung Choe; Mateusz Kozinski; Horst Possegger; In So Kweon; Kuk-Jin Yoon; Horst Bischof (ICCV, 2023)

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions. - Stefan Leitner; Muhammad Jehanzeb Mirza; Wei Lin 019; Jakub Micorek; Marc Masana; Mateusz Kozinski; Horst Possegger; Horst Bischof (IV, 2023)

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections. - Muhammad Jehanzeb Mirza; Leonid Karlinsky; Wei Lin 019; Horst Possegger; Mateusz Kozinski; Rogério Feris; Horst Bischof (NeurIPS, 2023)

TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification. - Muhammad Jehanzeb Mirza; Leonid Karlinsky; Wei Lin 019; Horst Possegger; Rogério Feris; Horst Bischof (CoRR, 2023)

Into the Fog: Evaluating Robustness of Multiple Object Tracking. - Nadezda Kirillova; Muhammad Jehanzeb Mirza; Horst Bischof; Horst Possegger (BMVC, 2024)

Towards Multimodal In-context Learning for Vision and Language Models. - Sivan Doveh; Shaked Perek; Muhammad Jehanzeb Mirza; Wei Lin 019; Amit Alfassy; Assaf Arbelle; Shimon Ullman; Leonid Karlinsky (ECCV Workshops (19), 2024)

Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs. - Muhammad Jehanzeb Mirza; Leonid Karlinsky; Wei Lin 019; Sivan Doveh; Jakub Micorek; Mateusz Kozinski; Hilde Kuehne; Horst Possegger (ECCV (2), 2024)

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. - Irene Huang; Wei Lin 019; Muhammad Jehanzeb Mirza; Jacob A. Hansen; Sivan Doveh; Victor Butoi; Roei Herzig; Assaf Arbelle; Hilde Kuehne; Trevor Darrell; Chuang Gan 001; Aude Oliva; et al. (NeurIPS, 2024)

Are Vision Language Models Texture or Shape Biased and Can We Steer Them? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Bianca Lamm; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (CoRR, 2024)

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 (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)

Into the Fog: Evaluating Multiple Object Tracking Robustness. - Nadezda Kirillova; Muhammad Jehanzeb Mirza; Horst Possegger; Horst Bischof (CoRR, 2024)

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. - Muhammad Jehanzeb Mirza; Mengjie Zhao; Zhuoyuan Mao; Sivan Doveh; Wei Lin 019; Paul Gavrikov; Michael Dorkenwald; Shiqi Yang; Saurav Jha; Hiromi Wakaki; Yuki Mitsufuji; Horst Possegger; et al. (CoRR, 2024)

Teaching VLMs to Localize Specific Objects from In-context Examples. - Sivan Doveh; Nimrod Shabtay; Wei Lin 019; Eli Schwartz; Hilde Kuehne; Raja Giryes; Rogério Feris; Leonid Karlinsky; James R. Glass; Assaf Arbelle; Shimon Ullman; Muhammad Jehanzeb Mirza (CoRR, 2024)

Comparison Visual Instruction Tuning. - Wei Lin 019; Muhammad Jehanzeb Mirza; Sivan Doveh; Rogério Feris; Raja Giryes; Sepp Hochreiter; Leonid Karlinsky (CVPR Workshops, 2025)

Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation. - Johannes Spöcklberger; Wei Lin 019; Pedro Hermosilla; Sivan Doveh; Horst Possegger; Muhammad Jehanzeb Mirza (CVPR Workshops, 2025)

Can We Talk Models Into Seeing the World Differently? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (ICLR, 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 001; Shusuke Takahashi; Yuki Mitsufuji (ICLR, 2025)

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content. - Nimrod Shabtay; Felipe Maia Polo; Sivan Doveh; Wei Lin 019; Muhammad Jehanzeb Mirza; Leshem Choshen; Mikhail Yurochkin; Yuekai Sun; Assaf Arbelle; Leonid Karlinsky; Raja Giryes (ICLR, 2025)

Can Diffusion Models Disentangle? A Theoretical Perspective. - Liming Wang; Muhammad Jehanzeb Mirza; Yishu Gong; Yuan Gong 001; Jiaqi Zhang; Brian H. Tracey; Katerina Placek; Marco Vilela; James R. Glass (CoRR, 2025)

Overflow Prevention Enhances Long-Context Recurrent LLMs. - Assaf Ben-Kish; Itamar Zimerman; Muhammad Jehanzeb Mirza; James R. Glass; Leonid Karlinsky; Raja Giryes (CoRR, 2025)

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion. - Jacob A. Hansen; Wei Lin 019; Junmo Kang; Muhammad Jehanzeb Mirza; Hongyin Luo; Rogério Feris; Alan Ritter; James R. Glass; Leonid Karlinsky (CoRR, 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, 2025)