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Video Test-Time Adaptation for Action Recognition
W Lin, MJ Mirza, M Kozinski, H Possegger, H Kuehne, H Bischof
CVPR 2023; arXiv preprint arXiv:2211.15393, 2022
152022
Match, expand and improve: Unsupervised finetuning for zero-shot action recognition with language knowledge
W Lin, L Karlinsky, N Shvetsova, H Possegger, M Kozinski, R Panda, ...
ICCV 2023; arXiv preprint arXiv:2303.08914, 2023
132023
ActMAD: Activation Matching to Align Distributions for Test-Time-Training
MJ Mirza, PJ Soneira, W Lin, M Kozinski, H Possegger, H Bischof
CVPR 2023; arXiv preprint arXiv:2211.12870, 2022
122022
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
MJ Mirza, L Karlinsky, W Lin, M Kozinski, H Possegger, R Feris, H Bischof
NeurIPS 2023; arXiv preprint arXiv:2305.18287, 2023
102023
Unsupervised video-based action recognition with imagining motion and perceiving appearance
W Lin, X Liu, Y Zhuang, X Ding, X Tu, Y Huang, H Zeng
IEEE Transactions on Circuits and Systems for Video Technology, 2022
62022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
MJ Mirza, I Shin, W Lin, A Schriebl, K Sun, J Choe, H Possegger, ...
ICCV 2023; arXiv preprint arXiv:2211.11432, 2022
52022
Self-supervised video-based action recognition with disturbances
W Lin, X Ding, Y Huang, H Zeng
IEEE Transactions on Image Processing, 2023
42023
CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video
W Lin, A Kukleva, K Sun, H Possegger, H Kuehne, H Bischof
European Conference on Computer Vision (ECCV) 2022, 698-715, 2022
32022
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification
MJ Mirza, L Karlinsky, W Lin, H Possegger, R Feris, H Bischof
arXiv preprint arXiv:2309.06809, 2023
22023
AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection
K Sun, W Lin, H Shi, Y Liu, Z Zhang, Y Huang, H Bischof
IEEE Robotics and Automation Letters, 2023
22023
Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions
S Leitner, MJ Mirza, W Lin, J Micorek, M Masana, M Kozinski, ...
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
12023
AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection
K Sun, W Lin, H Shi, Z Zhang, Y Huang, H Bischof
IEEE Robotics and Automation Letters (RA-L) 2023; arXiv preprint arXiv:2303 …, 2023
12023
TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering
W Lin, A Kukleva, H Possegger, H Kuehne, H Bischof
Computer Vision Winter Workshop 2023, 2023
12023
Beyond 2D: Fusion of Monocular 3D Pose, Motion and Appearance for Human Action Recognition
W Lin, J Yu
2019 22th International Conference on Information Fusion (FUSION), 1-8, 2019
12019
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
MJ Mirza, L Karlinsky, W Lin, S Doveh, J Micorek, M Kozinski, H Kuhene, ...
arXiv preprint arXiv:2403.11755, 2024
2024
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
M Jehanzeb Mirza, L Karlinsky, W Lin, S Doveh, J Micorek, M Kozinski, ...
arXiv e-prints, arXiv: 2403.11755, 2024
2024
Unsupervised video-based action recognition using two-stream generative adversarial network
W Lin, H Zeng, J Zhu, CH Hsia, J Hou, KK Ma
Neural Computing and Applications 36 (9), 5077-5091, 2024
2024
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification
M Jehanzeb Mirza, L Karlinsky, W Lin, H Possegger, R Feris, H Bischof
arXiv e-prints, arXiv: 2309.06809, 2023
2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
M Jehanzeb Mirza, L Karlinsky, W Lin, M Kozinski, H Possegger, R Feris, ...
arXiv e-prints, arXiv: 2305.18287, 2023
2023
Extended Abstract CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video
W Lin, A Kukleva, K Sun, H Possegger, H Kuehne, H Bischof
ECCV 2022 Workshop of Out Of Distribution Generalization in Computer Vision, 2022
2022
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