Kevis-Kokitsi Maninis

According to our database, Kevis-Kokitsi Maninis authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

OmniNOCS: A Unified NOCS Dataset and Model for 3D Lifting of 2D Objects.

Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown

Proceedings of the Computer Vision - ECCV 2024, 2024

Probing the 3D Awareness of Visual Foundation Models.

Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani

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

2023

Vid2CAD: CAD Model Alignment Using Multi-View Constraints From Videos.

Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari

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

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023.

Cristhian Forigua, María Escobar, Jordi Pont-Tuset, Kevis-Kokitsi Maninis, Pablo Arbeláez

CoRR, 2023

Estimating Generic 3D Room Structures from 2D Annotations.

Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari

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

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations.

Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou

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

CAD-Estate: Large-scale CAD Model Annotation in RGB Videos.

Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari

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

2022

RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers.

Michal J. Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, Vittorio Ferrari

Proceedings of the Computer Vision - ECCV 2022, 2022

2019

Exploiting Low-Level Features for Higher-Level Scene Understanding.

Kevis-Kokitsi Maninis

PhD thesis, 2019

Video Object Segmentation without Temporal Information.

Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool

IEEE Trans. Pattern Anal. Mach. Intell., 2019

The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation.

Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, Luc Van Gool

CoRR, 2019

Attentive Single-Tasking of Multiple Tasks.

Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos

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

2018

Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery.

Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli, Mouloud Ourak, Emmanuel B. Vander Poorten, Luc Van Gool

IEEE Robotics Autom. Lett., 2018

Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks.

Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez, Luc Van Gool

IEEE Trans. Pattern Anal. Mach. Intell., 2018

The 2018 DAVIS Challenge on Video Object Segmentation.

Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen, Luc Van Gool, Federico Perazzi, Jordi Pont-Tuset

CoRR, 2018

Iterative Deep Retinal Topology Extraction.

Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Deep Extreme Cut: From Extreme Points to Object Segmentation.

Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool

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

Iterative Deep Learning for Road Topology Extraction.

Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Iterative Deep Learning for Network Topology Extraction.

Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool

CoRR, 2017

Detection-aided liver lesion segmentation using deep learning.

Miriam Bellver, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Xavier Giró-i-Nieto, Jordi Torres, Luc Van Gool

CoRR, 2017

One-Shot Video Object Segmentation.

Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool

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

2016

Deep Retinal Image Understanding.

Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Convolutional Oriented Boundaries.

Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2016, 2016

2014

Towards an intelligent robotic walker for assisted living using multimodal sensorial data.

Georgia Chalvatzaki, Georgios Pavlakos, Kevis-Kokitsi Maninis, Xanthi S. Papageorgiou, Vassilis Pitsikalis, Costas S. Tzafestas, Petros Maragos

Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare: "Transforming healthcare through innovations in mobile and wireless technologies", 2014

Advances on action recognition in videos using an interest point detector based on multiband spatio-temporal energies.

Kevis-Kokitsi Maninis, Petros Koutras, Petros Maragos

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014