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2020 – today
- 2023
[j48]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)- [j47]Pietro Aceti, Michele Rosso, Raffaele Ardito, Nicola Pienazza, Alessandro Nastro, Marco Baù, Marco Ferrari, Markku Rouvala, Vittorio Ferrari, Alberto Corigliano:
Optimization of an Impact-Based Frequency Up-Converted Piezoelectric Vibration Energy Harvester for Wearable Devices. Sensors 23(3): 1391 (2023) - [c131]Paul Voigtlaender, Soravit Changpinyo, Jordi Pont-Tuset, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Video Localized Narratives. CVPR 2023: 2461-2471 - [c130]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. WACV 2023: 3125-3134 - [i81]Paul Voigtlaender, Soravit Changpinyo, Jordi Pont-Tuset, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Video Localized Narratives. CoRR abs/2302.11217 (2023) - [i80]Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Ariel Fuxman:
Agile Modeling: Image Classification with Domain Experts in the Loop. CoRR abs/2302.12948 (2023) - [i79]Denys Rozumnyi, Jiri Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald:
Tracking by 3D Model Estimation of Unknown Objects in Videos. CoRR abs/2304.06419 (2023) - [i78]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. CoRR abs/2306.09011 (2023) - [i77]Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. CoRR abs/2306.09077 (2023) - [i76]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araujo, 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) - [i75]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araujo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. CoRR abs/2306.09224 (2023) - [i74]Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender:
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. CoRR abs/2308.11606 (2023) - 2022
- [j46]Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari:
Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9298-9314 (2022) - [j45]Alessandro Nastro, Nicola Pienazza, Marco Baù, Pietro Aceti, Markku Rouvala, Raffaele Ardito, Marco Ferrari, Alberto Corigliano, Vittorio Ferrari:
Wearable Ball-Impact Piezoelectric Multi-Converters for Low-Frequency Energy Harvesting from Human Motion. Sensors 22(3): 772 (2022) - [j44]Michele Rosso, Alessandro Nastro, Marco Baù, Marco Ferrari, Vittorio Ferrari, Alberto Corigliano, Raffaele Ardito:
Piezoelectric Energy Harvesting from Low-Frequency Vibrations Based on Magnetic Plucking and Indirect Impacts. Sensors 22(15): 5911 (2022) - [c129]Marco Zini, Marco Baù, Fabio Scubla, Matteo Loda, Giuseppe Stefini, Alessandro Nastro, Marco Ferrari, Vittorio Ferrari:
Radar Sensor System for Unobtrusive Level Monitoring of Granular Solids Stored in Silos. AISEM 2022: 147-152 - [c128]Federico Mazzoli, Davide Alghisi, Vittorio Ferrari:
Algorithm for Velocity Estimation in a Multivariable Motion Sensor. AISEM 2022: 160-166 - [c127]Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
Transferability Metrics for Selecting Source Model Ensembles. CVPR 2022: 7926-7936 - [c126]Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink:
Transferability Estimation using Bhattacharyya Class Separability. CVPR 2022: 9162-9172 - [c125]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CVPR 2022: 12591-12601 - [c124]Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. CVPR 2022: 12922-12932 - [c123]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos. CVPR 2022: 15969-15978 - [c122]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 - [c121]Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
How Stable Are Transferability Metrics Evaluations? ECCV (34) 2022: 303-321 - [c120]Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
The Missing Link: Finding Label Relations Across Datasets. ECCV (8) 2022: 540-556 - [c119]Federico Mazzoli, Davide Alghisi, Vittorio Ferrari:
Real-Time Velocity Estimation Algorithm for a Multivariable Motion Sensor. ETFA 2022: 1-4 - [c118]Marco Baù, Marco Zini, Alessandro Nastro, Marco Ferrari, Vittorio Ferrari, Joshua E.-Y. Lee:
Electronic technique and system for non-contact reading of temperature sensors based on piezoelectric MEMS resonators. ISCAS 2022: 2409-2413 - [c117]Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. WACV 2022: 2304-2314 - [c116]Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. WACV 2022: 3967-3979 - [i73]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CoRR abs/2202.13071 (2022) - [i72]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) - [i71]Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
How stable are Transferability Metrics evaluations? CoRR abs/2204.01403 (2022) - [i70]Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
The Missing Link: Finding label relations across datasets. CoRR abs/2206.04453 (2022) - [i69]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. CoRR abs/2210.07670 (2022) - [i68]Rodrigo Benenson, Vittorio Ferrari:
From colouring-in to pointillism: revisiting semantic segmentation supervision. CoRR abs/2210.14142 (2022) - [i67]Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: It's Time to Track Multiple Generic Objects at Once. CoRR abs/2212.11920 (2022) - 2021
- [j43]Zhaohui Yang, Miaojing Shi, Chao Xu, Vittorio Ferrari, Yannis Avrithis:
Training object detectors from few weakly-labeled and many unlabeled images. Pattern Recognit. 120: 108164 (2021) - [c115]Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Towards Reusable Network Components by Learning Compatible Representations. AAAI 2021: 7620-7629 - [c114]Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru:
A Step Toward More Inclusive People Annotations for Fairness. AIES 2021: 916-925 - [c113]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. CVPR 2021: 3456-3465 - [c112]Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CVPR 2021: 3804-3814 - [c111]Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari:
From Points to Multi-Object 3D Reconstruction. CVPR 2021: 4588-4597 - [c110]Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut:
Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval. ICCV 2021: 12116-12126 - [c109]Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari:
Sharf: Shape-conditioned Radiance Fields from a Single View. ICML 2021: 8948-8958 - [c108]Alessandro Nastro, Marco Ferrari, Vittorio Ferrari:
Electrostatic-Capacitive MEMS Stiffness Sensor with Position-Feedback Mechanism. IEEE SENSORS 2021: 1-4 - [c107]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects. NeurIPS 2021: 29972-29983 - [c106]Alina Kuznetsova, Aakrati Talati, Yiwen Luo, Keith Simmons, Vittorio Ferrari:
Efficient video annotation with visual interpolation and frame selection guidance. WACV 2021: 3069-3078 - [i66]Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut:
Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval. CoRR abs/2102.04980 (2021) - [i65]Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari:
ShaRF: Shape-conditioned Radiance Fields from a Single View. CoRR abs/2102.08860 (2021) - [i64]Thomas Mensink, Jasper R. R. Uijlings, Alina Kuznetsova, Michael Gygli, Vittorio Ferrari:
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types. CoRR abs/2103.13318 (2021) - [i63]Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru:
A Step Toward More Inclusive People Annotations for Fairness. CoRR abs/2105.02317 (2021) - [i62]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects. CoRR abs/2106.08762 (2021) - [i61]Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. CoRR abs/2110.05594 (2021) - [i60]Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. CoRR abs/2110.05621 (2021) - [i59]Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink:
Transferability Estimation using Bhattacharyya Class Separability. CoRR abs/2111.12780 (2021) - [i58]Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
Transferability Metrics for Selecting Source Model Ensembles. CoRR abs/2111.13011 (2021) - [i57]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys:
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos. CoRR abs/2111.14465 (2021) - [i56]Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. CoRR abs/2111.14643 (2021) - 2020
- [j42]Yair Weiss, Vittorio Ferrari, Cristian Sminchisescu, Martial Hebert:
Special Issue: Advances in Architectures and Theories for Computer Vision. Int. J. Comput. Vis. 128(3): 573-574 (2020) - [j41]Paul Henderson, Vittorio Ferrari:
Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading. Int. J. Comput. Vis. 128(4): 835-854 (2020) - [j40]Michael Gygli, Vittorio Ferrari:
Efficient Object Annotation via Speaking and Pointing. Int. J. Comput. Vis. 128(5): 1061-1075 (2020) - [j39]Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, Tom Duerig, Vittorio Ferrari:
The Open Images Dataset V4. Int. J. Comput. Vis. 128(7): 1956-1981 (2020) - [j38]Marco Baù, Marco Ferrari, Habiba Begum, Abid Ali, Joshua E.-Y. Lee, Vittorio Ferrari:
Technique and Circuit for Contactless Readout of Piezoelectric MEMS Resonator Sensors. Sensors 20(12): 3483 (2020) - [c105]Konstantinos Rematas, Vittorio Ferrari:
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. CVPR 2020: 5416-5426 - [c104]Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari:
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds. CVPR 2020: 7946-7955 - [c103]Stefan Popov, Pablo Bauszat, Vittorio Ferrari:
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image. ECCV (2) 2020: 366-383 - [c102]Theodora Kontogianni, Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections. ECCV (16) 2020: 579-596 - [c101]Jordi Pont-Tuset, Jasper R. R. Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Localized Narratives. ECCV (5) 2020: 647-664 - [c100]Jasper R. R. Uijlings, Mykhaylo Andriluka, Vittorio Ferrari:
Panoptic Image Annotation with a Collaborative Assistant. ACM Multimedia 2020: 3302-3310 - [i55]Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Training Neural Networks to Produce Compatible Features. CoRR abs/2004.03898 (2020) - [i54]Stefan Popov, Pablo Bauszat, Vittorio Ferrari:
CoReNet: Coherent 3D scene reconstruction from a single RGB image. CoRR abs/2004.12989 (2020) - [i53]Mykhaylo Andriluka, Stefano Pellegrini, Stefan Popov, Vittorio Ferrari:
Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity. CoRR abs/2007.08173 (2020) - [i52]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. CoRR abs/2012.00595 (2020) - [i51]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos. CoRR abs/2012.04641 (2020) - [i50]Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CoRR abs/2012.06777 (2020) - [i49]Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari:
From Points to Multi-Object 3D Reconstruction. CoRR abs/2012.11575 (2020) - [i48]Alina Kuznetsova, Aakrati Talati, Yiwen Luo, Keith Simmons, Vittorio Ferrari:
Efficient video annotation with visual interpolation and frame selection guidance. CoRR abs/2012.12554 (2020)
2010 – 2019
- 2019
- [j37]Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder: Classification, Regression and GANs. Int. J. Comput. Vis. 127(11-12): 1694-1706 (2019) - [c99]Michael Gygli, Vittorio Ferrari:
Fast Object Class Labelling via Speech. CVPR 2019: 5365-5373 - [c98]Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation by Considering All Regions Jointly. CVPR 2019: 11622-11631 - [c97]Rodrigo Benenson, Stefan Popov, Vittorio Ferrari:
Large-Scale Interactive Object Segmentation With Human Annotators. CVPR 2019: 11700-11709 - [c96]Alexander Kolesnikov, Alina Kuznetsova, Christoph Lampert, Vittorio Ferrari:
Detecting Visual Relationships Using Box Attention. ICCV Workshops 2019: 1749-1753 - [c95]Alessandro Nastro, Marco Ferrari, Vittorio Ferrari:
Servo-Assisted Position-Feedback MEMS Inclinometer with Tunable Sensitivity. PRIME 2019: 305-308 - [e18]Bruno Andò, Francesco Baldini, Corrado Di Natale, Vittorio Ferrari, Vincenzo Marletta, Giovanna Marrazza, Valeria Militello, Giorgia Miolo, Marco Rossi, Lorenzo Scalise, Pietro Siciliano:
Sensors - Proceedings of the Fourth National Conference on Sensors, February 21-23, 2018, Catania, Italy. Lecture Notes in Electrical Engineering 539, Springer 2019, ISBN 978-3-030-04323-0 [contents] - [i47]Paul Henderson, Vittorio Ferrari:
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading. CoRR abs/1901.06447 (2019) - [i46]Rodrigo Benenson, Stefan Popov, Vittorio Ferrari:
Large-scale interactive object segmentation with human annotators. CoRR abs/1903.10830 (2019) - [i45]Michael Gygli, Vittorio Ferrari:
Efficient Object Annotation via Speaking and Pointing. CoRR abs/1905.10576 (2019) - [i44]Jordi Pont-Tuset, Michael Gygli, Vittorio Ferrari:
Natural Vocabulary Emerges from Free-Form Annotations. CoRR abs/1906.01542 (2019) - [i43]Jasper R. R. Uijlings, Mykhaylo Andriluka, Vittorio Ferrari:
Panoptic Image Annotation with a Collaborative Assistant. CoRR abs/1906.06798 (2019) - [i42]Theodora Kontogianni, Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections. CoRR abs/1911.12709 (2019) - [i41]Zhaohui Yang, Miaojing Shi, Yannis Avrithis, Chao Xu, Vittorio Ferrari:
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images. CoRR abs/1912.00384 (2019) - [i40]Jordi Pont-Tuset, Jasper R. R. Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari:
Connecting Vision and Language with Localized Narratives. CoRR abs/1912.03098 (2019) - [i39]Konstantinos Rematas, Vittorio Ferrari:
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. CoRR abs/1912.04591 (2019) - [i38]Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari:
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds. CoRR abs/1912.07009 (2019) - 2018
- [j36]Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Do Semantic Parts Emerge in Convolutional Neural Networks? Int. J. Comput. Vis. 126(5): 476-494 (2018) - [j35]Davide Modolo, Vittorio Ferrari:
Learning Semantic Part-Based Models from Google Images. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1502-1509 (2018) - [c94]Paul Henderson, Vittorio Ferrari:
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. BMVC 2018: 1 - [c93]Jasper R. R. Uijlings, Stefan Popov, Vittorio Ferrari:
Revisiting Knowledge Transfer for Training Object Class Detectors. CVPR 2018: 1101-1110 - [c92]Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
COCO-Stuff: Thing and Stuff Classes in Context. CVPR 2018: 1209-1218 - [c91]Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Objects as Context for Detecting Their Semantic Parts. CVPR 2018: 6907-6916 - [c90]Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari:
Learning Intelligent Dialogs for Bounding Box Annotation. CVPR 2018: 9175-9184 - [c89]Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner:
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) 2018: 487-493 - [c88]Marco Demori, Marco Baù, Simone Dalola, Marco Ferrari, Vittorio Ferrari:
RFID powered system for contactless measurement of a resistive sensor array. I2MTC 2018: 1-5 - [c87]Mykhaylo Andriluka, Jasper R. R. Uijlings, Vittorio Ferrari:
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation. ACM Multimedia 2018: 1957-1966 - [e17]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11205, Springer 2018, ISBN 978-3-030-01245-8 [contents] - [e16]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11206, Springer 2018, ISBN 978-3-030-01215-1 [contents] - [e15]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11207, Springer 2018, ISBN 978-3-030-01218-2 [contents] - [e14]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11208, Springer 2018, ISBN 978-3-030-01224-3 [contents] - [e13]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part V. Lecture Notes in Computer Science 11209, Springer 2018, ISBN 978-3-030-01227-4 [contents] - [e12]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VI. Lecture Notes in Computer Science 11210, Springer 2018, ISBN 978-3-030-01230-4 [contents] - [e11]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VII. Lecture Notes in Computer Science 11211, Springer 2018, ISBN 978-3-030-01233-5 [contents] - [e10]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VIII. Lecture Notes in Computer Science 11212, Springer 2018, ISBN 978-3-030-01236-6 [contents] - [e9]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IX. Lecture Notes in Computer Science 11213, Springer 2018, ISBN 978-3-030-01239-7 [contents] - [e8]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part X. Lecture Notes in Computer Science 11214, Springer 2018, ISBN 978-3-030-01248-9 [contents] - [e7]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI. Lecture Notes in Computer Science 11215, Springer 2018, ISBN 978-3-030-01251-9 [contents] - [e6]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII. Lecture Notes in Computer Science 11216, Springer 2018, ISBN 978-3-030-01257-1 [contents] - [e5]