Wei Lin

According to our database, Wei Lin authored at least 24 papers between 2022 and 2025.

Collaborative distances:

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

2025

pLSTM: parallelizable Linear Source Transition Mark networks.

Korbinian Pöppel, Richard Freinschlag, Thomas Schmied, Wei Lin, Sepp Hochreiter

CoRR, June, 2025

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving.

Christian Fruhwirth-Reisinger, Dusan Malic, Wei Lin, David Schinagl, Samuel Schulter, Horst Possegger

CoRR, June, 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

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

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

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

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

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

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection.

Christian Fruhwirth-Reisinger, Wei Lin, Dusan Malic, Horst Bischof, Horst Possegger

Proceedings of the 35th British Machine Vision Conference, 2024

2023

AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection.

Kunyang Sun, Wei Lin, Haoqin Shi, Yu Liu, Zhengming Zhang, Yongming Huang, Horst Bischof

IEEE Robotics Autom. Lett., June, 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

AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection.

Kunyang Sun, Wei Lin, Haoqing Shi, Zhengming Zhang, Yongming Huang, 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

MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge.

Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof

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

TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering.

Wei Lin, Anna Kukleva, Horst Possegger, Hilde Kuehne, Horst Bischof

Proceedings of the 26th Computer Vision Winter Workshop (CVWW 2023), 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

CycDA: Unsupervised Cycle Domain Adaptation from Image to Video.

Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof

CoRR, 2022

CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video.

Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof

Proceedings of the Computer Vision - ECCV 2022, 2022