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Fabio Poiesi
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2020 – today
- 2024
- [j20]Saigopal Vasudevan, Mohamed Lamine Mekhalfi, Carlos Blanes, Michela Lecca, Fabio Poiesi, Paul Chippendale, Pablo Malvido Fresnillo, Wael M. Mohammed, Jose L. Martinez Lastra:
Machine Vision and Robotics for Primary Food Manipulation and Packaging: A Survey. IEEE Access 12: 152579-152613 (2024) - [j19]Luca Zanella, Benedetta Liberatori, Willi Menapace, Fabio Poiesi, Yiming Wang, Elisa Ricci:
Delving into CLIP latent space for Video Anomaly Recognition. Comput. Vis. Image Underst. 249: 104163 (2024) - [j18]Guofeng Mei, Cristiano Saltori, Elisa Ricci, Nicu Sebe, Qiang Wu, Jian Zhang, Fabio Poiesi:
Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering. Int. J. Comput. Vis. 132(8): 3251-3269 (2024) - [j17]Xiang He, Weiye Song, Yiming Wang, Fabio Poiesi, Ji Yi, Manishi Desai, Quanqing Xu, Kongzheng Yang, Yi Wan:
Lightweight Retinal Layer Segmentation With Global Reasoning. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j16]Zhihan Lv, Fabio Poiesi, Qi Dong, Jaime Lloret, Houbing Song:
Special Issue on Deep Learning for Intelligent Human Computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 38:1-38:5 (2024) - [c32]Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi:
Open-vocabulary object 6D pose estimation. CVPR 2024: 18071-18080 - [c31]Guofeng Mei, Luigi Riz, Yiming Wang, Fabio Poiesi:
Geometrically-Driven Aggregation for Zero-Shot 3D Point Cloud Understanding. CVPR 2024: 27896-27905 - [c30]Andrea Caraffa, Davide Boscaini, Amir Hamza, Fabio Poiesi:
FreeZe: Training-Free Zero-Shot 6D Pose Estimation with Geometric and Vision Foundation Models. ECCV (75) 2024: 414-431 - [c29]Matteo Bortolon, Theodore Tsesmelis, Stuart James, Fabio Poiesi, Alessio Del Bue:
IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model. ICRA 2024: 1985-1991 - [i35]Matteo Bortolon, Theodore Tsesmelis, Stuart James, Fabio Poiesi, Alessio Del Bue:
IFFNeRF: Initialisation Free and Fast 6DoF pose estimation from a single image and a NeRF model. CoRR abs/2403.12682 (2024) - [i34]Xiang He, Weiye Song, Yiming Wang, Fabio Poiesi, Ji Yi, Manishi Desai, Quanqing Xu, Kongzheng Yang, Yi Wan:
Light-weight Retinal Layer Segmentation with Global Reasoning. CoRR abs/2404.16346 (2024) - [i33]Luigi Riz, Sergio Povoli, Andrea Caraffa, Davide Boscaini, Mohamed Lamine Mekhalfi, Paul Chippendale, Marjut Turtiainen, Birgitta Partanen, Laura Smith Ballester, J. Francisco Blanes Noguera, Alessio Franchi, Elisa Castelli, Giacomo Piccinini, Luca Marchesotti, Micael Santos Couceiro, Fabio Poiesi:
Wild Berry image dataset collected in Finnish forests and peatlands using drones. CoRR abs/2405.07550 (2024) - [i32]Jaime Corsetti, Davide Boscaini, Francesco Giuliari, Changjae Oh, Andrea Cavallaro, Fabio Poiesi:
High-resolution open-vocabulary object 6D pose estimation. CoRR abs/2406.16384 (2024) - [i31]Matteo Bortolon, Theodore Tsesmelis, Stuart James, Fabio Poiesi, Alessio Del Bue:
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model. CoRR abs/2407.15484 (2024) - [i30]Guofeng Mei, Luigi Riz, Yiming Wang, Fabio Poiesi:
Vocabulary-Free 3D Instance Segmentation with Vision and Language Assistant. CoRR abs/2408.10652 (2024) - [i29]Anil Osman Tur, Alessandro Conti, Cigdem Beyan, Davide Boscaini, Roberto Larcher, Stefano Messelodi, Fabio Poiesi, Elisa Ricci:
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models. CoRR abs/2409.14963 (2024) - 2023
- [j15]Runyu Jiao, Yi Wan, Fabio Poiesi, Yiming Wang:
Survey on video anomaly detection in dynamic scenes with moving cameras. Artif. Intell. Rev. 56(Supplement 3): 3515-3570 (2023) - [j14]Davide Boscaini, Fabio Poiesi:
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding. Image Vis. Comput. 137: 104768 (2023) - [j13]Fabio Poiesi, Davide Boscaini:
Learning General and Distinctive 3D Local Deep Descriptors for Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3979-3985 (2023) - [j12]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi, Elisa Ricci:
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14234-14247 (2023) - [j11]Youjie Zhou, Guofeng Mei, Yiming Wang, Fabio Poiesi, Yi Wan:
Attentive Multimodal Fusion for Optical and Scene Flow. IEEE Robotics Autom. Lett. 8(10): 6091-6098 (2023) - [c28]Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi:
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection. BMVC 2023: 117-118 - [c27]Luigi Riz, Andrea Caraffa, Matteo Bortolon, Mohamed Lamine Mekhalfi, Davide Boscaini, André Moura, José Antunes, André Dias, Hugo Silva, Andreas Leonidou, Christos Constantinides, Christos Keleshis, Dante Abate, Fabio Poiesi:
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios. CVPR Workshops 2023: 2546-2554 - [c26]Luigi Riz, Cristiano Saltori, Elisa Ricci, Fabio Poiesi:
Novel Class Discovery for 3D Point Cloud Semantic Segmentation. CVPR 2023: 9393-9402 - [c25]Jaime Corsetti, Davide Boscaini, Fabio Poiesi:
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation. ICCV (Workshops) 2023: 2095-2104 - [c24]Matteo Bortolon, Alessio Del Bue, Fabio Poiesi:
VM-NeRF: Tackling Sparsity in NeRF with View Morphing. ICIAP (2) 2023: 63-74 - [c23]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [c22]Guofeng Mei, Fabio Poiesi, Cristiano Saltori, Jian Zhang, Elisa Ricci, Nicu Sebe:
Overlap-guided Gaussian Mixture Models for Point Cloud Registration. WACV 2023: 4500-4509 - [i28]Luigi Riz, Cristiano Saltori, Elisa Ricci, Fabio Poiesi:
Novel Class Discovery for 3D Point Cloud Semantic Segmentation. CoRR abs/2303.11610 (2023) - [i27]Luigi Riz, Andrea Caraffa, Matteo Bortolon, Mohamed Lamine Mekhalfi, Davide Boscaini, André Moura, José Antunes, André Dias, Hugo Silva, Andreas Leonidou, Christos Constantinides, Christos Keleshis, Dante Abate, Fabio Poiesi:
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios. CoRR abs/2304.05417 (2023) - [i26]Youjie Zhou, Guofeng Mei, Yiming Wang, Fabio Poiesi, Yi Wan:
Attentive Multimodal Fusion for Optical and Scene Flow. CoRR abs/2307.15301 (2023) - [i25]Jaime Corsetti, Davide Boscaini, Fabio Poiesi:
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation. CoRR abs/2307.15514 (2023) - [i24]Davide Boscaini, Fabio Poiesi:
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding. CoRR abs/2307.15692 (2023) - [i23]Runyu Jiao, Yi Wan, Fabio Poiesi, Yiming Wang:
Survey on video anomaly detection in dynamic scenes with moving cameras. CoRR abs/2308.07050 (2023) - [i22]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi, Elisa Ricci:
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation. CoRR abs/2308.14619 (2023) - [i21]Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi:
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection. CoRR abs/2308.15353 (2023) - [i20]Luca Zanella, Benedetta Liberatori, Willi Menapace, Fabio Poiesi, Yiming Wang, Elisa Ricci:
Delving into CLIP latent space for Video Anomaly Recognition. CoRR abs/2310.02835 (2023) - [i19]Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi:
Open-vocabulary object 6D pose estimation. CoRR abs/2312.00690 (2023) - [i18]Andrea Caraffa, Davide Boscaini, Amir Hamza, Fabio Poiesi:
Object 6D pose estimation meets zero-shot learning. CoRR abs/2312.00947 (2023) - [i17]Guofeng Mei, Luigi Riz, Yiming Wang, Fabio Poiesi:
Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding. CoRR abs/2312.02244 (2023) - [i16]Weijie Wang, Guofeng Mei, Bin Ren, Xiaoshui Huang, Fabio Poiesi, Luc Van Gool, Nicu Sebe, Bruno Lepri:
Zero-Shot Point Cloud Registration. CoRR abs/2312.03032 (2023) - [i15]Luigi Riz, Cristiano Saltori, Yiming Wang, Elisa Ricci, Fabio Poiesi:
Novel class discovery meets foundation models for 3D semantic segmentation. CoRR abs/2312.03782 (2023) - 2022
- [j10]Youjie Zhou, Yiming Wang, Fabio Poiesi, Qi Qin, Yi Wan:
Loop Closure Detection Using Local 3D Deep Descriptors. IEEE Robotics Autom. Lett. 7(3): 6335-6342 (2022) - [j9]Zhihan Lv, Gustavo Marfia, Fabio Poiesi, Neil Vaughan, Jun Shen:
Virtual-reality and intelligent hardware in digital twins. Virtual Real. Intell. Hardw. 4(4): ii-iv (2022) - [j8]Zhihan Lv, Gustavo Marfia, Fabio Poiesi, Neil Vaughan, Jun Shen:
Virtual-reality and intelligent hardware in Digital Twins. Virtual Real. Intell. Hardw. 4(6): ii-iii (2022) - [c21]Juan C. SanMiguel, Jorge Muñoz, Fabio Poiesi:
Detection-aware multi-object tracking evaluation. AVSS 2022: 1-8 - [c20]Guofeng Mei, Cristiano Saltori, Fabio Poiesi, Jian Zhang, Elisa Ricci, Nicu Sebe, Qiang Wu:
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding. BMVC 2022: 1049 - [c19]Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi:
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation. ECCV (33) 2022: 567-585 - [c18]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi:
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation. ECCV (33) 2022: 586-602 - [i14]Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi:
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation. CoRR abs/2207.09763 (2022) - [i13]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi:
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation. CoRR abs/2207.09778 (2022) - [i12]Guofeng Mei, Cristiano Saltori, Fabio Poiesi, Jian Zhang, Elisa Ricci, Nicu Sebe, Qiang Wu:
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding. CoRR abs/2210.02798 (2022) - [i11]Matteo Bortolon, Alessio Del Bue, Fabio Poiesi:
Data augmentation for NeRF: a geometric consistent solution based on view morphing. CoRR abs/2210.04214 (2022) - [i10]Guofeng Mei, Fabio Poiesi, Cristiano Saltori, Jian Zhang, Elisa Ricci, Nicu Sebe:
Overlap-guided Gaussian Mixture Models for Point Cloud Registration. CoRR abs/2210.09836 (2022) - [i9]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR abs/2211.13508 (2022) - [i8]Juan C. SanMiguel, Jorge Muñoz, Fabio Poiesi:
Detection-aware multi-object tracking evaluation. CoRR abs/2212.08536 (2022) - 2021
- [j7]Matteo Bortolon, Luca Bazzanella, Fabio Poiesi:
Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles. J. Real Time Image Process. 18(2): 345-355 (2021) - [j6]Matteo Bortolon, Fabio Poiesi:
An open-source mobile-based system for synchronised multi-view capture and dynamic object reconstruction. Softw. Impacts 9: 100097 (2021) - [i7]Matteo Bortolon, Luca Bazzanella, Fabio Poiesi:
Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles. CoRR abs/2103.07883 (2021) - [i6]Fabio Poiesi, Davide Boscaini:
Generalisable and distinctive 3D local deep descriptors for point cloud registration. CoRR abs/2105.10382 (2021) - [i5]Youjie Zhou, Yiming Wang, Fabio Poiesi, Qi Qin, Yi Wan:
Loop closure detection using local 3D deep descriptors. CoRR abs/2111.00440 (2021) - 2020
- [c17]Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro:
Novel-View Human Action Synthesis. ACCV (4) 2020: 423-441 - [c16]Davide Boscaini, Fabio Poiesi, Stefano Messelodi, Ayman Younes, Donato A. Grande:
Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs. ICPR Workshops (4) 2020: 692-704 - [c15]Fabio Poiesi, Davide Boscaini:
Distinctive 3D local deep descriptors. ICPR 2020: 5720-5727 - [c14]Matteo Bortolon, Paul Chippendale, Stefano Messelodi, Fabio Poiesi:
Multi-view Data Capture using Edge-synchronised Mobiles. VISIGRAPP (5: VISAPP) 2020: 730-740 - [i4]Davide Boscaini, Fabio Poiesi:
3D Shape Segmentation with Geometric Deep Learning. CoRR abs/2002.00397 (2020) - [i3]Matteo Bortolon, Paul Chippendale, Stefano Messelodi, Fabio Poiesi:
Multi-view data capture using edge-synchronised mobiles. CoRR abs/2005.03286 (2020) - [i2]Mohamed Ilyes Lakhal, Davide Boscaini, Fabio Poiesi, Oswald Lanz, Andrea Cavallaro:
Novel-View Human Action Synthesis. CoRR abs/2007.02808 (2020) - [i1]Fabio Poiesi, Davide Boscaini:
Distinctive 3D local deep descriptors. CoRR abs/2009.00258 (2020)
2010 – 2019
- 2019
- [c13]Davide Boscaini, Fabio Poiesi:
3D Shape Segmentation with Geometric Deep Learning. ICIAP (1) 2019: 454-465 - 2018
- [c12]Mirko Pani, Fabio Poiesi:
Distributed Data Exchange with Leap Motion. AVR (2) 2018: 655-667 - [c11]Fabio Poiesi, Andrea Cavallaro:
A distributed vision-based consensus model for aerial-robotic teams. IROS 2018: 169-176 - [c10]Caterina Battisti, Stefano Messelodi, Fabio Poiesi:
Seamless Bare-Hand Interaction in Mixed Reality. ISMAR Adjunct 2018: 198-203 - 2017
- [j5]Isah Abdullahi Lawal, Fabio Poiesi, Davide Anguita, Andrea Cavallaro:
Support Vector Motion Clustering. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2395-2408 (2017) - [c9]Fabio Poiesi, Alex Locher, Paul Chippendale, Erica Nocerino, Fabio Remondino, Luc Van Gool:
Cloud-based collaborative 3D reconstruction using smartphones. CVMP 2017: 1:1-1:9 - 2016
- [c8]Fabio Poiesi, Andrea Cavallaro:
Detection of fast incoming objects with a moving camera. BMVC 2016 - [c7]Ricardo Sanchez-Matilla, Fabio Poiesi, Andrea Cavallaro:
Online Multi-target Tracking with Strong and Weak Detections. ECCV Workshops (2) 2016: 84-99 - 2015
- [j4]Fabio Poiesi, Andrea Cavallaro:
Predicting and recognizing human interactions in public spaces. J. Real Time Image Process. 10(4): 785-803 (2015) - [j3]Fabio Poiesi, Andrea Cavallaro:
Tracking Multiple High-Density Homogeneous Targets. IEEE Trans. Circuits Syst. Video Technol. 25(4): 623-637 (2015) - [c6]Fabio Poiesi, Andrea Cavallaro:
MTTV - An Interactive Trajectory Visualization and Analysis Tool. IVAPP 2015: 157-162 - [c5]Fabio Poiesi, Andrea Cavallaro:
Distributed vision-based flying cameras to film a moving target. IROS 2015: 2453-2459 - [c4]Fabio Poiesi, Andrea Cavallaro:
Self-positioning of a team of flying smart cameras. ISSNIP 2015: 1-6 - 2014
- [j2]Tahir Habib Nawaz, Fabio Poiesi, Andrea Cavallaro:
Measures of Effective Video Tracking. IEEE Trans. Image Process. 23(1): 376-388 (2014) - [c3]Tahir Habib Nawaz, Fabio Poiesi, Andrea Cavallaro:
Assessing tracking assessment measures. ICIP 2014: 441-445 - [p1]Toygar Akgun, Charles Attwood, Andrea Cavallaro, Christian Fabre, Fabio Poiesi, Piotr Szczuko:
Towards Cognitive and Perceptive Video Systems. Human Behavior Understanding in Networked Sensing 2014: 3-17 - 2013
- [j1]Fabio Poiesi, Riccardo Mazzon, Andrea Cavallaro:
Multi-target tracking on confidence maps: An application to people tracking. Comput. Vis. Image Underst. 117(10): 1257-1272 (2013) - [c2]Riccardo Mazzon, Fabio Poiesi, Andrea Cavallaro:
Detection and tracking of groups in crowd. AVSS 2013: 202-207 - 2010
- [c1]Fabio Poiesi, Fahad Daniyal, Andrea Cavallaro:
Detector-less ball localization using context and motion flow analysis. ICIP 2010: 3913-3916
Coauthor Index
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