Advances on action recognition in videos using an interest point detector based on multiband spatio-temporal energies. - Kevis-Kokitsi Maninis; Petros Koutras; Petros Maragos (ICIP, 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 (MobiHealth, 2014)

Convolutional Oriented Boundaries. - Kevis-Kokitsi Maninis; Jordi Pont-Tuset; Pablo Andrés Arbeláez; Luc Van Gool (ECCV (1), 2016)

Deep Retinal Image Understanding. - Kevis-Kokitsi Maninis; Jordi Pont-Tuset; Pablo Andrés Arbeláez; Luc Van Gool (MICCAI (2), 2016)

One-Shot Video Object Segmentation. - Sergi Caelles; Kevis-Kokitsi Maninis; Jordi Pont-Tuset; Laura Leal-Taixé; Daniel Cremers; Luc Van Gool (CVPR, 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)

Iterative Deep Learning for Network Topology Extraction. - Carles Ventura; Jordi Pont-Tuset; Sergi Caelles; Kevis-Kokitsi Maninis; Luc Van Gool (CoRR, 2017)

Iterative Deep Learning for Road Topology Extraction. - Carles Ventura; Jordi Pont-Tuset; Sergi Caelles; Kevis-Kokitsi Maninis; Luc Van Gool (BMVC, 2018)

Deep Extreme Cut: From Extreme Points to Object Segmentation. - Kevis-Kokitsi Maninis; Sergi Caelles; Jordi Pont-Tuset; Luc Van Gool (CVPR, 2018)

Iterative Deep Retinal Topology Extraction. - Carles Ventura; Jordi Pont-Tuset; Sergi Caelles; Kevis-Kokitsi Maninis; Luc Van Gool (Patch-MI@MICCAI, 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)

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)

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)

Attentive Single-Tasking of Multiple Tasks. - Kevis-Kokitsi Maninis; Ilija Radosavovic; Iasonas Kokkinos (CVPR, 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)

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)

Exploiting Low-Level Features for Higher-Level Scene Understanding. - Kevis-Kokitsi Maninis (2019)

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 (ECCV (10), 2022)

CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. - Kevis-Kokitsi Maninis; Stefan Popov; Matthias Nießner; Vittorio Ferrari (ICCV, 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 001; Ricardo Martin-Brualla; Kaushal Patel; Daniel Vlasic; Vittorio Ferrari; et al. (NeurIPS, 2023)

Estimating Generic 3D Room Structures from 2D Annotations. - Denys Rozumnyi; Stefan Popov; Kevis-Kokitsi Maninis; Matthias Nießner; Vittorio Ferrari (NeurIPS, 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)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 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)

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 001; Varun Jampani (CVPR, 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 001 (ECCV (75), 2024)

TIPS: Text-Image Pretraining with Spatial awareness. - Kevis-Kokitsi Maninis; Kaifeng Chen; Soham Ghosh; Arjun Karpur; Koert Chen; Ye Xia; Bingyi Cao; Daniel Salz; Guangxing Han; Jan Dlabal; Dan Gnanapragasam; Mojtaba Seyedhosseini; et al. (ICLR, 2025)

EgoCast: Forecasting Egocentric Human Pose in the Wild. - María Escobar; Juanita Puentes; Cristhian Forigua; Jordi Pont-Tuset; Kevis-Kokitsi Maninis; Pablo Arbeláez (WACV, 2025)