Kueh, M.T.[Mien Tze]
* 2022: Warming Trend and Cloud Responses over the Indochina Peninsula during Monsoon Transition
* 2024: Warming Trend and Cloud Responses over the Indochina Peninsula during Monsoon Transition
Includes: Kueh, M.T.[Mien Tze] Kueh, M.T.[Mien-Tze]
Kuehlkamp, A.
* 2016: analysis of 1-to-first matching in iris recognition, An
* 2017: Gender-from-Iris or Gender-from-Mascara?
* 2018: Found a Good Match: Should I Keep Searching?: Accuracy and Performance in Iris Matching Using 1-to-First Search
* 2019: Predicting Gender From Iris Texture May Be Harder Than It Seems
* 2022: Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition
* 2023: Human Saliency-Driven Patch-based Matching for Interpretable Post-Mortem Iris Recognition
Includes: Kuehlkamp, A. Kuehlkamp, A.[Andrey]
Kuehn, A.
* 2014: Experiments on acquisition and processing of video for free-viewpoint television
Kuehn, J.P.[Jens Peter]
* 2011: Fully Automatic Liver Volumetry Using 3D Level Set Segmentation for Differentiated Liver Tissue Types in Multiple Contrast MR Datasets
Includes: Kuehn, J.P.[Jens Peter] Kuehn, J.P.[Jens-Peter]
Kuehn, J.T.
* 1985: Parallel Image Thinning and Vectorization on PASM
Kuehne, A.
* 2021: Flexible Multi-Turn Multi-Gap Coaxial RF Coils: Design Concept and Implementation for Magnetic Resonance Imaging at 3 and 7 Tesla
Kuehne, H.[Hildegard]
* 2009: iterative scheme for motion-based scene segmentation, An
* 2011: HMDB: A large video database for human motion recognition
* 2014: Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities, The
* 2016: end-to-end generative framework for video segmentation and recognition, An
* 2017: Recurrent Residual Learning for Action Recognition
* 2017: Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling
* 2017: Weakly supervised learning of actions from transcripts
* 2018: Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints
* 2018: NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
* 2018: WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop
* 2019: Unsupervised Learning of Action Classes With Continuous Temporal Embedding
* 2020: Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation, A
* 2021: Detector-Free Weakly Supervised Grounding by Separation
* 2021: Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
* 2021: Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
* 2021: Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
* 2021: Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
* 2021: Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities
* 2022: CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video
* 2022: Everything at Once - Multi-modal Fusion Transformer for Video Retrieval
* 2022: Style Agnostic 3D Reconstruction via Adversarial Style Transfer
* 2022: Unsupervised Domain Generalization by Learning a Bridge Across Domains
* 2022: Weakly Supervised Grounding for VQA in Vision-Language Transformers
* 2023: In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval
* 2023: Learning Situation Hyper-Graphs for Video Question Answering
* 2023: MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
* 2023: Preserving Modality Structure Improves Multi-Modal Learning
* 2023: Video Test-Time Adaptation for Action Recognition
Includes: Kuehne, H.[Hildegard] Kuehne, H. Kuehne, H.[Hilde]
28 for Kuehne, H.
Kuehne, T.
* 2021: Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability
Kuehnel, F.O.
* 2002: Dramatic Improvements to Feature Based Stereo
* 2004: Modeling Images of Natural 3D Surfaces: Overview and Potential Applications
Includes: Kuehnel, F.O. Kuehnel, F.O.[Frank O.]
Kuehnel, H.[Hannes]
* 2017: Texturizing and Refinement of 3D City Models with Mobile Devices
Kuehner, P.[Pascal]
* 2008: Classification of perceived running fatigue in digital sports
Kuehnle, A.
* 1991: Symmetry-Based Recognition of Vehicle Rears
Kuehnle, G.[Goetz]
* 2007: Method for determining visibility