Pavel Tokmakov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Zero-1-to-3: Zero-shot One Image to 3D Object.

[BibT_eX]

[DOI]

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

Breaking the "Object" in Video Object Segmentation.

[BibT_eX]

[DOI]

Jie Li

Adrien Gaidon

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

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking.

[BibT_eX]

[DOI]

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

Tracking Through Containers and Occluders in the Wild.

[BibT_eX]

[DOI]

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

Object Discovery from Motion-Guided Tokens.

[BibT_eX]

[DOI]

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

2022

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Object Permanence Emerges in a Random Walk along Memory.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Discovering Objects that Can Move.

[BibT_eX]

[DOI]

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

2021

Learning to Track with Object Permanence.

[BibT_eX]

[DOI]

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

Unlocking the Full Potential of Small Data With Diverse Supervision.

[BibT_eX]

[DOI]

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

2020

Unsupervised Learning of Video Representations via Dense Trajectory Clustering.

[BibT_eX]

[DOI]

Martial Hebert

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

TAO: A Large-Scale Benchmark for Tracking Any Object.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning to Segment Moving Objects.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Learning Generalizable Representations via Diverse Supervision.

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Track Any Object.

[BibT_eX]

[DOI]

CoRR, 2019

A Study on Action Detection in the Wild.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Segmenting Everything That Moves.

[BibT_eX]

[DOI]

Achal Dave

Deva Ramanan

CoRR, 2019

Towards Segmenting Anything That Moves.

[BibT_eX]

[DOI]

Achal Dave

Deva Ramanan

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

Learning Compositional Representations for Few-Shot Recognition.

[BibT_eX]

[DOI]

Yu-Xiong Wang

Martial Hebert

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

Towards Latent Attribute Discovery From Triplet Similarities.

[BibT_eX]

[DOI]

Ishan Nigam

Deva Ramanan

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

A Structured Model for Action Detection.

[BibT_eX]

[DOI]

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

2018

Learning from motion. (Apprentissage à partir du mouvement).

[BibT_eX]

[DOI]

PhD thesis, 2018

2017

Relational linear programming.

[BibT_eX]

[DOI]

Kristian Kersting

Martin Mladenov

Artif. Intell., 2017

Learning Video Object Segmentation with Visual Memory.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Motion Patterns in Videos.

[BibT_eX]

[DOI]

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

2016

Weakly-Supervised Semantic Segmentation Using Motion Cues.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2014

Relational Linear Programs.

[BibT_eX]

[DOI]

Kristian Kersting

Martin Mladenov