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2020 – today
- 2022
[j44]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)- [c114]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 - [c113]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 - [i70]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) - [i69]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) - [i68]Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
How stable are Transferability Metrics evaluations? CoRR abs/2204.01403 (2022) - [i67]Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
The Missing Link: Finding label relations across datasets. CoRR abs/2206.04453 (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) - [c112]Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Towards Reusable Network Components by Learning Compatible Representations. AAAI 2021: 7620-7629 - [c111]Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru:
A Step Toward More Inclusive People Annotations for Fairness. AIES 2021: 916-925 - [c110]Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys:
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. CVPR 2021: 3456-3465 - [c109]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 - [c108]Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari:
From Points to Multi-Object 3D Reconstruction. CVPR 2021: 4588-4597 - [c107]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 - [c106]Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari:
Sharf: Shape-conditioned Radiance Fields from a Single View. ICML 2021: 8948-8958 - [c105]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 - [c104]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) - [c103]Konstantinos Rematas, Vittorio Ferrari:
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. CVPR 2020: 5416-5426 - [c102]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 - [c101]Stefan Popov, Pablo Bauszat, Vittorio Ferrari:
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image. ECCV (2) 2020: 366-383 - [c100]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 - [c99]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 - [c98]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) - [c97]Michael Gygli, Vittorio Ferrari:
Fast Object Class Labelling via Speech. CVPR 2019: 5365-5373 - [c96]Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation by Considering All Regions Jointly. CVPR 2019: 11622-11631 - [c95]Rodrigo Benenson, Stefan Popov, Vittorio Ferrari:
Large-Scale Interactive Object Segmentation With Human Annotators. CVPR 2019: 11700-11709 - [c94]Alexander Kolesnikov, Alina Kuznetsova, Christoph Lampert, Vittorio Ferrari:
Detecting Visual Relationships Using Box Attention. ICCV Workshops 2019: 1749-1753 - [c93]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) - [c92]Paul Henderson, Vittorio Ferrari:
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. BMVC 2018: 1 - [c91]Jasper R. R. Uijlings, Stefan Popov, Vittorio Ferrari:
Revisiting Knowledge Transfer for Training Object Class Detectors. CVPR 2018: 1101-1110 - [c90]Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
COCO-Stuff: Thing and Stuff Classes in Context. CVPR 2018: 1209-1218 - [c89]Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Objects as Context for Detecting Their Semantic Parts. CVPR 2018: 6907-6916 - [c88]Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari:
Learning Intelligent Dialogs for Bounding Box Annotation. CVPR 2018: 9175-9184 - [c87]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 - [c86]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 - [c85]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]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIII. Lecture Notes in Computer Science 11217, Springer 2018, ISBN 978-3-030-01260-1 [contents] - [e4]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIV. Lecture Notes in Computer Science 11218, Springer 2018, ISBN 978-3-030-01263-2 [contents] - [e3]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV. Lecture Notes in Computer Science 11219, Springer 2018, ISBN 978-3-030-01266-3 [contents] - [e2]Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XVI. Lecture Notes in Computer Science 11220, Springer 2018, ISBN 978-3-030-01269-4 [contents] - [i37]Mykhaylo Andriluka, Jasper R. R. Uijlings, Vittorio Ferrari:
Fluid Annotation: a human-machine collaboration interface for full image annotation. CoRR abs/1806.07527 (2018) - [i36]Alexander Kolesnikov, Christoph H. Lampert, Vittorio Ferrari:
Detecting Visual Relationships Using Box Attention. CoRR abs/1807.02136 (2018) - [i35]Paul Henderson, Vittorio Ferrari:
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. CoRR abs/1807.09259 (2018) - [i34]Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper R. R. Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Tom Duerig, Vittorio Ferrari:
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale. CoRR abs/1811.00982 (2018) - [i33]Michael Gygli, Vittorio Ferrari:
Fast Object Class Labelling via Speech. CoRR abs/1811.09461 (2018) - [i32]Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation. CoRR abs/1812.01888 (2018) - 2017
- [j34]Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video. Int. J. Comput. Vis. 121(2): 303-325 (2017) - [j33]Carina Silberer, Vittorio Ferrari, Mirella Lapata:
Visually Grounded Meaning Representations. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2284-2297 (2017) - [j32]Marco Baù, Marco Ferrari, Vittorio Ferrari:
Analysis and Validation of Contactless Time-Gated Interrogation Technique for Quartz Resonator Sensors. Sensors 17(6): 1264 (2017) - [j31]Marco Demori, Marco Ferrari, Arianna Bonzanini, Pietro Poesio, Vittorio Ferrari:
Autonomous Sensors Powered by Energy Harvesting from von Karman Vortices in Airflow. Sensors 17(9): 2100 (2017) - [c84]Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari:
The Devil is in the Decoder. BMVC 2017 - [c83]Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Training Object Class Detectors with Click Supervision. CVPR 2017: 180-189 - [c82]Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Joint Learning of Object and Action Detectors. ICCV 2017: 2001-2010 - [c81]Miaojing Shi, Holger Caesar, Vittorio Ferrari:
Weakly Supervised Object Localization Using Things and Stuff Transfer. ICCV 2017: 3401-3410 - [c80]Buyu Liu, Vittorio Ferrari:
Active Learning for Human Pose Estimation. ICCV 2017: 4373-4382 - [c79]Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Action Tubelet Detector for Spatio-Temporal Action Localization. ICCV 2017: 4415-4423 - [c78]Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Extreme Clicking for Efficient Object Annotation. ICCV 2017: 4940-4949 - [i31]Miaojing Shi, Holger Caesar, Vittorio Ferrari:
Weakly Supervised Object Localization Using Things and Stuff Transfer. CoRR abs/1703.08000 (2017) - [i30]Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Objects as context for part detection. CoRR abs/1703.09529 (2017) - [i29]Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Training object class detectors with click supervision. CoRR abs/1704.06189 (2017) - [i28]Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, Cordelia Schmid:
Action Tubelet Detector for Spatio-Temporal Action Localization. CoRR abs/1705.01861 (2017) - [i27]Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari:
How hard can it be? Estimating the difficulty of visual search in an image. CoRR abs/1705.08280 (2017) - [i26]Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder. CoRR abs/1707.05847 (2017) - [i25]Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
Extreme clicking for efficient object annotation. CoRR abs/1708.02750 (2017) - [i24]Jasper R. R. Uijlings, Stefan Popov, Vittorio Ferrari:
Revisiting knowledge transfer for training object class detectors. CoRR abs/1708.06128 (2017) - [i23]Paul Henderson, Vittorio Ferrari:
A Generative Model of 3D Object Layouts in Apartments. CoRR abs/1711.10939 (2017) - [i22]Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari:
Learning Intelligent Dialogs for Bounding Box Annotation. CoRR abs/1712.08087 (2017) - 2016
- [j30]Anestis Papazoglou, Luca Del Pero, Vittorio Ferrari:
Discovering object aspects from video. Image Vis. Comput. 52: 206-217 (2016) - [j29]Vicky Kalogeiton, Vittorio Ferrari, Cordelia Schmid:
Analysing Domain Shift Factors between Videos and Images for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2327-2334 (2016) - [c77]Paul Henderson, Vittorio Ferrari:
End-to-End Training of Object Class Detectors for Mean Average Precision. ACCV (5) 2016: 198-213 - [c76]Anestis Papazoglou, Luca Del Pero, Vittorio Ferrari:
Video Temporal Alignment for Object Viewpoint. ACCV (4) 2016: 273-288 - [c75]Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Discovering the Physical Parts of an Articulated Object Class from Multiple Videos. CVPR 2016: 714-723 - [c74]Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari:
We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification. CVPR 2016: 854-863 - [c73]Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari:
How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image. CVPR 2016: 2157-2166 - [c72]