Hilde Kuehne

CoRR, 2023

What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Human Action Recognition Representations Without Real Humans.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ISAAC Newton: Input-based Approximate Curvature for Newton's Method.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Temperature Schedules for self-supervised contrastive methods on long-tail data.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Contrastive Audio-Visual Masked Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Preserving Modality Structure Improves Multi-Modal Learning.

[BibT_eX]

[DOI]

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

Learning by Sorting: Self-supervised Learning with Group Ordering Constraints.

[BibT_eX]

[DOI]

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

In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

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

[BibT_eX]

[DOI]

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

Video Test-Time Adaptation for Action Recognition.

[BibT_eX]

[DOI]

Wei Lin

Muhammad Jehanzeb Mirza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Situation Hyper-Graphs for Video Question Answering.

[BibT_eX]

[DOI]

Niels da Vitoria Lobo

Mubarak Shah

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

CycDA: Unsupervised Cycle Domain Adaptation from Image to Video.

[BibT_eX]

[DOI]

CoRR, 2022

Style Agnostic 3D Reconstruction via Adversarial Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Deep Differentiable Logic Gate Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How Transferable are Video Representations Based on Synthetic Data?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentiable Top-k Classification Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Monotonic Differentiable Sorting Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Weakly Supervised Grounding for VQA in Vision-Language Transformers.

[BibT_eX]

[DOI]

Aisha Urooj Khan

Chuang Gan

Niels da Vitoria Lobo

Mubarak Shah

Proceedings of the Computer Vision - ECCV 2022, 2022

Augmentation Learning for Semi-Supervised Classification.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2022

Everything at Once - Multi-modal Fusion Transformer for Video Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Domain Generalization by Learning a Bridge Across Domains.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Routing with Self-Attention for Multimodal Capsule Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning with Algorithmic Supervision via Continuous Relaxations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos.

[BibT_eX]

[DOI]

Rogério Schmidt Feris

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Cascaded Multilingual Audio-Visual Learning from Videos.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting.

[BibT_eX]

[DOI]

Anna Kukleva

Bernt Schiele

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Detector-Free Weakly Supervised Grounding by Separation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules.

[BibT_eX]

[DOI]

Niels da Vitoria Lobo

Mubarak Shah

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences.

[BibT_eX]

[DOI]

Rosaura G. VidalMata

Walter J. Scheirer

CoRR, 2020

2019

Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data.

[BibT_eX]

[DOI]

CoRR, 2019

More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation.

[BibT_eX]

[DOI]

Quanfu Fan

Chun-Fu (Richard) Chen

Marco Pistoia

David D. Cox

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Learning of Action Classes With Continuous Temporal Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Weakly supervised learning of actions from transcripts.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2017

Temporal Action Labeling using Action Sets.

[BibT_eX]

[DOI]

CoRR, 2017

Recurrent Residual Learning for Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 39th German Conference, 2017

Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

An end-to-end generative framework for video segmentation and recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2015

Analysis and recognition of human actions with flow features and temporal models.

[BibT_eX]

[DOI]

PhD thesis, 2015

Towards a generative approach to activity recognition and segmentation.

[BibT_eX]

[DOI]

CoRR, 2015

Cooking in the kitchen: A generative approach to the recognition, parsing and segmentation of human daily activities.

[BibT_eX]

[DOI]

CoRR, 2015

2014

The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities.

[BibT_eX]

[DOI]

Ali Bilgin Arslan

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

On-line Action Recognition from Sparse Feature Flow.

[BibT_eX]

Proceedings of the VISAPP 2012, 2012

2011

Combined intention, activity, and motion recognition for a humanoid household robot.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

HMDB: A large video database for human motion recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Motion Segmentation of Articulated Structures by Integration of Visual Perception Criteria.

[BibT_eX]

Annika Woerner

Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

2009

Motion-based Feature Clustering for Articulated Body Tracking.

[BibT_eX]

Annika Woerner

Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

An iterative scheme for motion-based scene segmentation.

[BibT_eX]

[DOI]

Alexander Bachmann

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

HMM-based human motion recognition with optical flow data.

[BibT_eX]

[DOI]

Dirk Gehrig