All Outputs (22)

Neural-code PIFu: High-fidelity Single Image 3D Human Reconstruction via Neural Code Integration (2024)
Presentation / Conference Contribution
Liu, R., Remagnino, P., & Shum, H. P. (2024, December). Neural-code PIFu: High-fidelity Single Image 3D Human Reconstruction via Neural Code Integration. Presented at 2024 International Conference on Pattern Recognition, Kolkata, India

We introduce neural-code PIFu, a novel implicit function for 3D human reconstruction, leveraging neural codebooks, our approach learns recurrent patterns in the feature space and reuses them to improve current features. Many existing methods predict... Read More about Neural-code PIFu: High-fidelity Single Image 3D Human Reconstruction via Neural Code Integration.

Segmentation and Identification of Mediterranean Plant Species (2023)
Presentation / Conference Contribution
Kaur, P., Gigante, D., Caccianiga, M., Bagella, S., Angiolini, C., Garabini, M., Angelini, F., & Remagnino, P. (2023, October). Segmentation and Identification of Mediterranean Plant Species. Presented at ISVC 2023: 18th International Symposium on Visual Computing, Lake Tahoe, NV

Recently, object recognition and image segmentation have gained much attention in the computer vision field and image processing for effective object localisation and identification. Researchers have applied semantic segmentation and instance segment... Read More about Segmentation and Identification of Mediterranean Plant Species.

Simulating People Dynamics (2021)
Presentation / Conference Contribution
Saeed, R., Recupero, D. R., & Remagnino, P. (2021, December). Simulating People Dynamics. Presented at 2021 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE) IEEE; Middlesex Univ London; Sapienza Univ Roma; Univ Grenoble Alpes; Queensland Univ Technol; IEEE Syst Man \& Cybernet Soc; IOS Press; Assoc Advancement Artificial Intelligence; Technol

D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer (2021)
Presentation / Conference Contribution
Lim, J. H., Tan, C. S., Chan, C. S., Welikala, R. A., Remagnino, P., Rajendran, S., Kallarakkal, T. G., Zain, R. B., Jayasinghe, R. D., Rimal, J., Kerr, A. R., Amtha, R., Patil, K., Tilakaratne, W. M., Gibson, J., Cheong, S. C., & Barman, S. A. (2021, July). D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer. Presented at MEDICAL IMAGE UNDERSTANDING AND ANALYSIS (MIUA 2021) Univ Oxford; Univ Oxford, Med Sci Div, Nuffield Dept Clin Neurosciences; Big Data Inst; Math Phys \& Life Sci Div; Inst Biomed Engn; MathWorks; Brainomix; Journal Imaging; Oxford Univ Innovat; nVidia; I

Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices (2020)
Presentation / Conference Contribution
Khadka, A., Argyriou, V., & Remagnino, P. (2020, December). Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices. Presented at 16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020) IEEE Comp Soc

SYNTHETIC CROWD AND PEDESTRIAN GENERATOR FOR DEEP LEARNING PROBLEMS (2020)
Presentation / Conference Contribution
Khadka, A., Remagnino, P., & Argyriou, V. (2020, December). SYNTHETIC CROWD AND PEDESTRIAN GENERATOR FOR DEEP LEARNING PROBLEMS. Presented at 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING Inst Elect \& Elect Engineers; Inst Elect \& Elect Engineers, Signal Proc Soc

A Comparison of Embedded Deep Learning Methods for Person Detection (2019)
Presentation / Conference Contribution
Kim, C. E., Oghaz, M. M. D., Fajtl, J., Argyriou, V., & Remagnino, P. (2019, December). A Comparison of Embedded Deep Learning Methods for Person Detection. Presented at PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 5

Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation (2019)
Presentation / Conference Contribution
Rimboux, A., Dupre, R., Daci, E., Lagkas, T., Sarigiannidis, P., Remagnino, P., & Argyriou, V. (2019, December). Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation. Presented at 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS) IEEE Comp Soc

Scene and Environment Monitoring Using Aerial Imagery and Deep Learning (2019)
Presentation / Conference Contribution
Oghaz, M. M., Razaak, M., Kerdegari, H., Argyriou, V., & Remagnino, P. (2019, December). Scene and Environment Monitoring Using Aerial Imagery and Deep Learning. Presented at 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS) IEEE Comp Soc

Latent Bernoulli Autoencoder (2019)
Presentation / Conference Contribution
Fajtl, J., Argyriou, V., Monekosso, D., & Remagnino, P. (2019, December). Latent Bernoulli Autoencoder. Presented at 25TH AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS 2019) Assoc Informat Syst

Smart Monitoring of Crops Using Generative Adversarial Networks (2019)
Presentation / Conference Contribution
Kerdegari, H., Razaak, M., Argyriou, V., & Remagnino, P. (2019, December). Smart Monitoring of Crops Using Generative Adversarial Networks. Presented at COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT I Univ Salerno, Dept Comp \& Elect Engn \& Appl Math; SAST Gmbh; A I Tech srl; AI4Health srl; Nexsoft spa; Gesan srl; Hanwha Techwin Europe Ltd; Springer Lecture Notes Comp Sci; Italian Assoc Comp Vi

Multi-scale Feature Fused Single Shot Detector for Small Object Detection in UAV Images (2019)
Presentation / Conference Contribution
Razaak, M., Kerdegari, H., Argyriou, V., & Remagnino, P. (2019, December). Multi-scale Feature Fused Single Shot Detector for Small Object Detection in UAV Images. Presented at COMPUTER VISION SYSTEMS (ICVS 2019)

Urban Scene Segmentation using Semi-supervised GAN (2019)
Presentation / Conference Contribution
Kerdegari, H., Razaak, M., Argyriou, V., & Remagnino, P. (2019, December). Urban Scene Segmentation using Semi-supervised GAN. Presented at IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXV SPIE

An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies (2019)
Presentation / Conference Contribution
Razaak, M., Kerdegari, H., Davies, E., Abozariba, R., Broadbent, M., Mason, K., Argyriou, V., & Remagnino, P. (2019, December). An Integrated Precision Farming Application Based on 5G, UAV and Deep Learning Technologies. Presented at COMPUTER ANALYSIS OF IMAGES AND PATTERNS (CAIP 2019) Univ Salerno, Dept Comp \& Elect Engn \& Appl Math, Intelligent Machines Recognit Video Images \& Audio Lab; A I Tech srl; SAST Gmbh; AI4Health srl; Gesan srl; Hanwha Techwin Europe Ltd; Nexsoft SpA

Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering (2018)
Presentation / Conference Contribution
Khadka, A. R., Remagnino, P., & Argyriou, V. (2018, December). Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering. Presented at 2018 14TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY \& INTERNET BASED SYSTEMS (SITIS) IEEE Comp Soc; Univ Las Palmas Gran Canaria; Univ Milan; Univ Bourgogne, Laboratoire Electronique Image Informatique Res Grp; Natl Res Council Italy, Inst High

HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION (2017)
Presentation / Conference Contribution
Lee, S. H., Chang, Y. L., Chan, C. S., & Remagnino, P. (2017, December). HGO-CNN: HYBRID GENERIC-ORGAN CONVOLUTIONAL NEURAL NETWORK FOR MULTI-ORGAN PLANT CLASSIFICATION. Presented at 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) Inst Elect \& Elect Engineers; Inst Elect \& Elect Engineers Signal Proc Soc

DEEP-PLANT: PLANT IDENTIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS (2015)
Presentation / Conference Contribution
Lee, S. H., Chan, C. S., Wilkin, P., & Remagnino, P. (2015, December). DEEP-PLANT: PLANT IDENTIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS. Presented at 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) Inst Elect \& Elect Engineers; IEEE Signal Proc Soc

Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier (2013)
Presentation / Conference Contribution
Fraz, M., Remagnino, P., Hoppe, A., & Barman, S. (2013, December). Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier. Presented at INTERNATIONAL CONFERENCE ON COMPUTER MEDICAL APPLICATIONS (ICCMA' 2013) IEEE, Tunisia Sect; Dar Al Uloom Univ; N\&N Global Technologies; Future Technologies \& Innovat

Classification of High-Dimension PDFs Using the Hungarian Algorithm (2012)
Presentation / Conference Contribution
Cope, J. S., & Remagnino, P. (2012, December). Classification of High-Dimension PDFs Using the Hungarian Algorithm. Presented at STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION Int Assoc Pattern Recognit; Int Assoc Pattern Recognit, Tech Comm 1, Stat Pattern Recognit Tech; Int Assoc Pattern Recognit, Tech Comm 2, Struct \& Syntact Pattern Recognit; Tohoku Univ; Hiroshima

A model based approach for vessel caliber measurement in retinal images (2012)
Presentation / Conference Contribution
Fraz, M. M., Remagnino, P., Hoppe, A., Barman, S. A., Rudnicka, A., Owen, C., & Whincup, P. (2012, December). A model based approach for vessel caliber measurement in retinal images. Presented at 8TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY \& INTERNET BASED SYSTEMS (SITIS 2012) IEEE Comp Soc; INCAR