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ORCIDKevis-Kokitsi Maninis
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2020 – today
- 2024
[c15]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CVPR 2024: 21795-21806- [c14]Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown:
OmniNOCS: A Unified NOCS Dataset and Model for 3D Lifting of 2D Objects. ECCV (75) 2024: 127-145 - [i21]Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani:
Probing the 3D Awareness of Visual Foundation Models. CoRR abs/2404.08636 (2024) - [i20]Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown:
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects. CoRR abs/2407.08711 (2024) - 2023
- [j5]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:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j4]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment Using Multi-View Constraints From Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1320-1327 (2023) - [c13]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. ICCV 2023: 20132-20142 - [c12]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:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023 - [c11]Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. NeurIPS 2023 - [i19]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. CoRR abs/2306.09011 (2023) - [i18]Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. CoRR abs/2306.09077 (2023) - [i17]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:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023) - [i16]Cristhian Forigua, María Escobar, Jordi Pont-Tuset, Kevis-Kokitsi Maninis, Pablo Arbeláez:
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023. CoRR abs/2306.16606 (2023) - 2022
- [c10]Michal J. Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, Vittorio Ferrari:
RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers. ECCV (10) 2022: 211-228 - [i15]Michal J. Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, Vittorio Ferrari:
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers. CoRR abs/2203.13296 (2022) - 2020
- [i14]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos. CoRR abs/2012.04641 (2020)
2010 – 2019
- 2019
- [b1]Kevis-Kokitsi Maninis:
Exploiting Low-Level Features for Higher-Level Scene Understanding. ETH Zurich, Zürich, Switzerland, 2019 - [j3]Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
Video Object Segmentation without Temporal Information. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1515-1530 (2019) - [c9]Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos:
Attentive Single-Tasking of Multiple Tasks. CVPR 2019: 1851-1860 - [i13]Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos:
Attentive Single-Tasking of Multiple Tasks. CoRR abs/1904.08918 (2019) - [i12]Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, Luc Van Gool:
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation. CoRR abs/1905.00737 (2019) - 2018
- [j2]Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 819-833 (2018) - [j1]Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli, Mouloud Ourak, Emmanuel B. Vander Poorten, Luc Van Gool:
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery. IEEE Robotics Autom. Lett. 3(1): 612-619 (2018) - [c8]Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Road Topology Extraction. BMVC 2018: 257 - [c7]Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. CVPR 2018: 616-625 - [c6]Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Retinal Topology Extraction. Patch-MI@MICCAI 2018: 133-143 - [i11]Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen, Luc Van Gool, Federico Perazzi, Jordi Pont-Tuset:
The 2018 DAVIS Challenge on Video Object Segmentation. CoRR abs/1803.00557 (2018) - [i10]Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Road Topology Extraction. CoRR abs/1808.09814 (2018) - 2017
- [c5]Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
One-Shot Video Object Segmentation. CVPR 2017: 5320-5329 - [i9]Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks. CoRR abs/1701.04658 (2017) - [i8]Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli, Mouloud Ourak, Emmanuel B. Vander Poorten, Luc Van Gool:
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery. CoRR abs/1709.05665 (2017) - [i7]Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
Video Object Segmentation Without Temporal Information. CoRR abs/1709.06031 (2017) - [i6]Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. CoRR abs/1711.09081 (2017) - [i5]Miriam Bellver, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Xavier Giró-i-Nieto, Jordi Torres, Luc Van Gool:
Detection-aided liver lesion segmentation using deep learning. CoRR abs/1711.11069 (2017) - [i4]Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Network Topology Extraction. CoRR abs/1712.01217 (2017) - 2016
- [c4]Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries. ECCV (1) 2016: 580-596 - [c3]Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Deep Retinal Image Understanding. MICCAI (2) 2016: 140-148 - [i3]Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries. CoRR abs/1608.02755 (2016) - [i2]Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Deep Retinal Image Understanding. CoRR abs/1609.01103 (2016) - [i1]Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
One-Shot Video Object Segmentation. CoRR abs/1611.05198 (2016) - 2014
- [c2]Kevis-Kokitsi Maninis, Petros Koutras, Petros Maragos:
Advances on action recognition in videos using an interest point detector based on multiband spatio-temporal energies. ICIP 2014: 1490-1494 - [c1]Georgia Chalvatzaki, Georgios Pavlakos, Kevis-Kokitsi Maninis, Xanthi S. Papageorgiou, Vassilis Pitsikalis, Costas S. Tzafestas, Petros Maragos:
Towards an intelligent robotic walker for assisted living using multimodal sensorial data. MobiHealth 2014: 156-159
Coauthor Index
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last updated on 2024-11-11 22:28 CET by the dblp team
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