Fadime Sener

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions.

[BibT_eX]

[DOI]

CoRR, 2024

On the Utility of 3D Hand Poses for Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Transferring Knowledge From Text to Video: Zero-Shot Anticipation for Procedural Actions.

[BibT_eX]

[DOI]

Rishabh Saraf

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Every Mistake Counts in Assembly.

[BibT_eX]

[DOI]

CoRR, 2023

Opening the Vocabulary of Egocentric Actions.

[BibT_eX]

[DOI]

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

AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation.

[BibT_eX]

[DOI]

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

2022

Transformed ROIs for capturing visual transformations in videos.

[BibT_eX]

[DOI]

Abhinav Rai

Comput. Vis. Image Underst., 2022

Temporal Action Segmentation: An Analysis of Modern Technique.

[BibT_eX]

[DOI]

Guodong Ding

CoRR, 2022

Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities.

[BibT_eX]

[DOI]

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

2021

Modelling Complex Activities from Visual and Textual Data

[BibT_eX]

[DOI]

PhD thesis, 2021

Learning Video Models from Text: Zero-Shot Anticipation for Procedural Actions.

[BibT_eX]

[DOI]

Rishabh Saraf

CoRR, 2021

Technical Report: Temporal Aggregate Representations.

[BibT_eX]

[DOI]

Dibyadip Chatterjee

CoRR, 2021

2020

Temporal Aggregate Representations for Long Term Video Understanding.

[BibT_eX]

[DOI]

Dipika Singhania

CoRR, 2020

Temporal Aggregate Representations for Long-Range Video Understanding.

[BibT_eX]

[DOI]

Dipika Singhania

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Zero-Shot Anticipation for Instructional Activities.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

Learning Style Compatibility for Furniture.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 40th German Conference, 2018

Unsupervised Learning and Segmentation of Complex Activities From Video.

[BibT_eX]

[DOI]

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

2017

DRAW: Deep Networks for Recognizing Styles of Artists Who Illustrate Children's Books.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

2016

Creating image tags for text based image retrieval using additional corpora.

[BibT_eX]

[DOI]

Nermin Samet

Samet Hicsonmez

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2015

Two-person interaction recognition via spatial multiple instance embedding.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2015

2014

Ensemble of multiple instance classifiers for image re-ranking.

[BibT_eX]

[DOI]

Image Vis. Comput., 2014

2013

Recognizing human actions from noisy videos via multiple instance learning.

[BibT_eX]

[DOI]

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012

Multiple instance learning for re-ranking of web image search results.

[BibT_eX]

[DOI]

Pinar Duygulu Sahin

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Identification of Illustrators.

[BibT_eX]

[DOI]

Nermin Samet

Pinar Duygulu Sahin

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

On Recognizing Actions in Still Images via Multiple Features.

[BibT_eX]

[DOI]

Cagdas Bas