CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video. - Wei Lin 019; Anna Kukleva; Kunyang Sun; Horst Possegger; Hilde Kuehne; Horst Bischof (ECCV (3), 2022)

CycDA: Unsupervised Cycle Domain Adaptation from Image to Video. - Wei Lin 019; Anna Kukleva; Kunyang Sun; Horst Possegger; Hilde Kuehne; Horst Bischof (CoRR, 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)

TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering. - Wei Lin 019; Anna Kukleva; Horst Possegger; Hilde Kuehne; Horst Bischof (CVWW, 2023)

MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. - Wei Lin 019; Leonid Karlinsky; Nina Shvetsova; Horst Possegger; Mateusz Kozinski; Rameswar Panda; Rogério Feris; Hilde Kuehne; Horst Bischof (ICCV, 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)

AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection. - Kunyang Sun; Wei Lin 019; Haoqing Shi; Zhengming Zhang 001; Yongming Huang 001; Horst Bischof (CoRR, 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)

AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection. - Kunyang Sun; Wei Lin 019; Haoqin Shi; Yu Liu 029; Zhengming Zhang 001; Yongming Huang 001; Horst Bischof (IEEE Robotics Autom. Lett., 2023)

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection. - Christian Fruhwirth-Reisinger; Wei Lin 019; Dusan Malic; 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)

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)

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)

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)

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving. - Christian Fruhwirth-Reisinger; Dusan Malic; Wei Lin 019; David Schinagl; Samuel Schulter; Horst Possegger (CoRR, 2025)

pLSTM: parallelizable Linear Source Transition Mark networks. - Korbinian Pöppel; Richard Freinschlag; Thomas Schmied; Wei Lin 019; Sepp Hochreiter (CoRR, 2025)