Hello! I am a Research Scientist at Google Research, working on 3D computer vision. Previously, I obtained my PhD at the Computer Vision Lab of ETH Zürich, where I worked with Prof. Luc Van Gool and Dr. Jordi Pont-Tuset on 2D scene understanding. I received my M.Eng degree from National Technical University of Athens, School of Electrical and Computer Engineering. I was a member of the CVSP lab working on human action recognition in videos with Prof. Petros Maragos. I have interned in Facebook AI Research (FAIR), where I worked on multi-task learning with Prof. Iasonas Kokkinos. This personal web-page will be updated with my research work.

Publications

Conference/Journal Publications

A. Krishnan, A. Kundu, K.-K. Maninis, J. Hays, and M. Brown
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects
European Conference on Computer Vision (ECCV), 2024 - Oral
[BibTex] [arXiv] [pdf] [Data + Code]

@InProceedings{krishnan2024omninocs,
 Author = {Krishnan, Akshay and Kundu, Abhijit and Maninis, Kevis-Kokitsi and Hays, James and Brown, Matthew}, 
 Title = {{OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects}}, 
 BookTitle = {ECCV},  
 Year = {2024}
 }

M. El Banani, A. Raj, K.-K. Maninis, A. Kar, Y. Li, M. Rubinstein, D. Sun, L. Guibas, J. Johnson, and V. Jampani
Probing the 3D Awareness of Visual Foundation Models
Computer Vision and Pattern Recognition (CVPR), 2024
[BibTex] [arXiv] [pdf] [Code]

@InProceedings{elbanani2024probe3d,
 Author = {El Banani, Mohamed and Raj, Amit and Maninis, Kevis-Kokitsi and Kar, Abhishek and Li, Yuanzhen and Rubinstein, Michael and Sun, Deqing and Guibas, Leonidas and Johnson, Justin and Jampani, Varun}, 
 Title = {{Probing the 3D Awareness of Visual Foundation Models}}, 
 BookTitle = {CVPR},  
 Year = {2024}
 }

V. Jampani*, K.-K. Maninis*, A. Engelhardt, A. Karpur, K. Truong, K. Sargent, S. Popov, A. Araujo, R. Martin-Brualla, K. Patel, D. Vlasic, V. Ferrari, A. Makadia, C. Liu, Y. Li, and H. Zhou
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Conference on Neural Information Processing Systems (NeurIPS), 2023
Dataset and Benchmarks Track
[BibTex] [arXiv] [pdf] [Project Page]

@InProceedings{jampani2023navi,
 Author = {Jampani, Varun and Maninis, Kevis-Kokitsi and Engelhardt, Andreas and Karpur, Arjun and Truong, Karen and Sargent, Kyle and Popov, Stefan and Araujo, Andre and Martin-Brualla, Ricardo and Patel, Kaushal and Vlasic, Daniel and Ferrari, Vittorio and Makadia, Ameesh and Liu, Ce and Li, Yuanzhen and Zhou, Howard}, 
 Title = {NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations}, 
 BookTitle = {Conference on Neural Information Processing Systems (NeurIPS)},  
 Year = {2023}
 }

D. Rozumnyi, S. Popov, K.K. Maninis, M. Niessner, and V. Ferrari
Estimating Generic 3D Room Structures from 2D Annotations
Conference on Neural Information Processing Systems (NeurIPS), 2023
Dataset and Benchmarks Track
[BibTex] [arXiv] [pdf] [Data + Code]

@InProceedings{rozumnyi2023layouts,
 Author = {Denys Rozumnyi and Stefan Popov and Kevis-Kokitsi Maninis and Matthias Niessner and Vittorio Ferrari}, 
 Title = {Estimating Generic 3D Room Structures from 2D Annotations}, 
 BookTitle = {Conference on Neural Information Processing Systems (NeurIPS)},  
 Year = {2023}
 }

K.K. Maninis, S. Popov, M. Niessner, and V. Ferrari
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos
International Conference on Computer Vision (ICCV), 2023
[BibTex] [arXiv] [pdf] [Data + Code]

@InProceedings{maninis2023cadestate,
 Author = {Kevis-Kokitsi Maninis and Stefan Popov and Matthias Niessner and Vittorio Ferrari}, 
 Title = {CAD-Estate: Large-scale CAD Model Annotation in RGB Videos}, 
 BookTitle = {International Conference on Computer Vision (ICCV)},  
 Year = {2023}
 }

Michał J. Tyszkiewicz, K.K. Maninis, S. Popov, and V. Ferrari
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers
European Conference on Computer Vision (ECCV), 2022
[BibTex] [arXiv] [pdf]

@InProceedings{tyszkiewicz2022raytran,
 Author = {Michał J. Tyszkiewicz and Kevis-Kokitsi Maninis and Stefan Popov and Vittorio Ferrari}, 
 Title = {RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers}, 
 BookTitle = {European Conference on Computer Vision (ECCV)},  
 Year = {2022}
 }

K.K. Maninis*, S. Popov*, M. Niessner, and V. Ferrari
Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
[BibTex] [arXiv] [pdf] [Project Page]

@Article{maninis2022vid2cad,
 Author = {Kevis-Kokitsi Maninis and Stefan Popov and Matthias Nießner and Vittorio Ferrari}, 
 Title = {Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos}, 
 Journal = {IEEE Transactions on Pattern Analysis and Machine Inttelligence},  
 Year = {2022}
 }

K.K. Maninis, I. Radosavovic, I. Kokkinos
Attentive Single-Tasking of Multiple Tasks
Computer Vision and Pattern Recognition (CVPR), 2019
[BibTex] [arXiv] [Code]

@InProceedings{maninis2019multitask,
  Author = {Kevis-Kokitsi Maninis and Ilija Radosavovic and Iasonas Kokkinos},
  Title = {Attentive Single-Tasking of Multiple Tasks},
  Booktitle = {Computer Vision and Pattern Recognition (CVPR)},
  Year = {2019}
}

K.K. Maninis*, S. Caelles*, Y. Chen, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool
Video Object Segmentation Without Temporal Information
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
[BibTex] [arXiv] [pdf] [Project, Code]

@Article{Man+18b,
  Author = {Kevis-Kokitsi Maninis and Sergi Caelles and Yuhua Chen and Jordi Pont-Tuset and Laura Leal-Taixé and Daniel Cremers and Luc Van Gool}, 
  Title = {Video Object Segmentation Without Temporal Information}, 
  Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}, 
  Year = {2018}
}

T. Probst*, K.K. Maninis*, A. Chhatkuli, M. Ourak, E. Vander Poorten, and L. Van Gool
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery
Robotics and Automation Letters (RA-L), 2018
[BibTex] [arXiv] [pdf] [Project Page]

@Article{Pro+18,
  Author = {Thomas Probst and Kevis-Kokitsi Maninis and Ajad Chhatkuli and Mouloud Ourak and Emmanuel Vander Poorten and Luc Van Gool},
  Title = {Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery},
  Journal = {Robotics and Automation Letters (RA-L)},
  Year = {2018}
}

K.K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. Van Gool
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 4, pp. 819 - 833, 2018.
[BibTex] [pdf] [Code] [Project Page]

@Article{Man+18a,
  Author = {Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Pablo Arbel\'{a}ez and Luc Van Gool},
  Title = {Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks},
  Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  Year = {2018},
  Volume = {40},
  Number = {4},
  Pages = {819 - 833}
}

K.K. Maninis*, S. Caelles*, J. Pont-Tuset, and L. Van Gool
Deep Extreme Cut: From Extreme Points to Object Segmentation
Computer Vision and Pattern Recognition (CVPR), 2018
[BibTex] [arXiv] [pdf] [Project, Code]

@InProceedings{Man+18,
  Author = {Kevis-Kokitsi Maninis and Sergi Caelles and Jordi Pont-Tuset and Luc Van Gool},
  Title = {Deep Extreme Cut: From Extreme Points to Object Segmentation},
  Booktitle = {Computer Vision and Pattern Recognition (CVPR)},
  Year = {2018}
}

C. Ventura, J. Pont-Tuset, S. Caelles, K.K. Maninis, and L. Van Gool
Iterative Deep Learning for Road Topology Extraction
British Machine Vision Conference (BMVC), 2018
[BibTex] [pdf] [Project, Code]

@InProceedings{Ven+18,
  Author = {Carles Ventura and Jordi Pont-Tuset and Sergi Caelles and Kevis-Kokitsi Maninis and Luc Van Gool},
  Title = {Iterative Deep Learning for Road Topology Extraction},
  Booktitle = {British Machine Vision Conference (BMVC)},
  Year = {2018}
}

S. Caelles*, K.K. Maninis*, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool
One-Shot Video Object Segmentation
Computer Vision and Pattern Recognition (CVPR), 2017
[BibTex] [arXiv] [pdf] [Project, Code]

@InProceedings{Cae+17,
  Author = {Sergi Caelles and Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Laura Leal-Taix\'{e} and Daniel Cremers and Luc Van Gool},
  Title = {One-Shot Video Object Segmentation},
  Booktitle = {Computer Vision and Pattern Recognition (CVPR)},
  Year = {2017}
}

K.K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. Van Gool
Convolutional Oriented Boundaries
European Conference on Computer Vision (ECCV), 2016
[BibTex] [pdf] [Code] [Project Page] [Computer Vision News]

@InProceedings{Man+16a,
  Author = {Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Pablo Arbel\'{a}ez and Luc Van Gool},
  Title = {Convolutional Oriented Boundaries},
  Booktitle = {European Conference on Computer Vision (ECCV)},
  Year = {2016}
}

K.K. Maninis, J. Pont-Tuset, P. Arbeláez, and L. Van Gool
Deep Retinal Image Understanding
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016
[BibTex] [pdf] [Supplemental] [Code] [Project Page]

@InProceedings{Man+16,
  Author = {Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Pablo Arbel\'{a}ez and Luc Van Gool},
  Title = {Deep Retinal Image Understanding},
  Booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  Year = {2016}
}

PhD Dissertation

K.K. Maninis, Exploiting Low-Level Features for Higher-Level Scene Understanding
ETH Zürich, 2019
[BibTex] [pdf]

@phdthesis{Man2019,
  Author = {Kevis-Kokitsi Maninis},
  Title = {Exploiting Low-Level Features for Higher-Level Scene Understanding},
  School = {ETH Zürich},
  Year = {2019}
}

Other Publications

S. Caelles, A. Montes, K.K. Maninis, Y. Chen, L. sPan Gool, Federico Perazzi, and J. Pont-Tuset
The 2018 DAVIS Challenge on Video Object Segmentation
arXiv, 2018
[BibTex] [arXiv] [Webpage] [Baseline]

@Article{Cae+18,
  Author = {Sergi Caelles and Alberto Montes and Kevis-Kokitsi Maninis and Yuhua Chen and Luc Van Gool and Federico Perazzi and Jordi Pont-Tuset},
  Title = {The 2018 DAVIS Challenge on Video Object Segmentation},
  Journal = {arXiv:1803.00557},
  Year = {2018}
}

M. Bellver, K.K. Maninis, J. Pont-Tuset, X. Giró-i-Nieto, J. Torres, and L. Van Gool
Detection-aided liver lesion segmentation using deep learning
NeurIPS Machine Learning for Health Workshop, 2017
[BibTex] [pdf]

@InProceedings{Bel+17,
  Author = {Miriam Bellver and  Kevis-Kokitsi Maninis and Jordi Pont-Tuset and Xavier Giró-i-Nieto and ordi Torres and Luc Van Gool},
  Title = {Detection-aided liver lesion segmentation using deep learning},
  Booktitle = {NIPS Machine Learning for Health Workshops},
  Year = {2017}
}

G. Chalvatzaki, G. Pavlakos, K.K. Maninis, X. Papageorgiou, V. Pitsikalis, C. Tzafestas, and P. Maragos
Towards an Intelligent Robotic Walker for Assisted Living using Multimodal Sensorial Data
International Conference on Mobile Communication and Healthcare (Mobihealth), 2014
[BibTex] [pdf]

@InProceedings{Cha+14,
  Author = {Georgia Chalvatzaki and Georgios Pavlakos and Kevis-Kokitsi Maninis and Xanthi Papageorgiou and Vassilis Pitsikalis and Costas Tzafestas, and Petros Maragos},
  Title = {Towards an Intelligent Robotic Walker for Assisted Living using Multimodal Sensorial Data},
  Booktitle = {4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth)},
  Year = {2014}
}

K.K. Maninis, P. Koutras, and P. Maragos
Advances on Action Recognition in Videos Using an Interest Point Detector Based on Multiband Spatio-Temporal Enegies
International Conference on Image Processing (ICIP), 2014
[BibTex] [pdf]

@InProceedings{MKM14,
  Author = {Kevis-Kokitsi Maninis and Petros Koutras and Petros Maragos},
  Title = {Advances on Action Recognition in Videos Using an Interest Point Detector Based on Multiband Spatio-Temporal Enegies},
  Booktitle = {IEEE International Conference on Image Processing (ICIP)},
  Year = {2014}
}

Contact

E-mail: kevismaninis@gmail.com