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Previous Awards

The papers receiving these awards were selected from a set of outstanding papers, based on the quantitative and qualitative classifications as well as comments provided by the program committee reviewers, their final classification as full paper and their oral presentation at the conference.

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012

ICPRAM 2024

Best Paper Award

MAC: Multi-Scales Attention Cascade for Aerial Image Segmentation
Yubo Wang, Zhao Wang, Yuusuke Nakano, Katsuya Hasegawa, Hiroyuki Ishii and Jun Ohya

Best Student Paper Award

AirEyeSeg: Teacher-Student Insights into Robust Fisheye UAV Detection
Zhenyue Gu, Benedikt Kolbeinsson and Krystian Mikolajczyk

Best Poster Award

Noise Simulation for the Improvement of Training Deep Neural Network for Printer-Proof Steganography
Telmo Cunha, Luiz Schirmer, João Marcos and Nuno Gonçalves

Best Industrial Paper Award

CaRaCTO: Robust Camera-Radar Extrinsic Calibration with Triple Constraint Optimization
Mahdi Chamseddine, Jason Rambach and Didier Stricker

ICPRAM 2023

Best Paper Award

Data Streams: Investigating Data Structures for Multivariate Asynchronous Time Series Prediction Problems
Christopher Vox, David Broneske, Istiaque M. Shaikat and Gunter Saake

Best Student Paper Award

The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts
Lisa Koopmans, Maruf A. Dhali and Lambert Schomaker

Best Poster Award

Towards Explainability in Using Deep Learning for Face Detection in Paintings
Siwar Bengamra, Olfa Mzoughi, André Bigand and Ezzeddine Zagrouba

Best Industrial Paper Award

Rainfuzz: Reinforcement-Learning Driven Heat-Maps for Boosting Coverage-Guided Fuzzing
Lorenzo Binosi, Luca Rullo, Mario Polino, Michele Carminati and Stefano Zanero

ICPRAM 2022

Best Paper Award

On the Statistical Independence of Parametric Representations in Biometric Cryptosystems: Evaluation and Improvement
Riccardo Musto, Emanuele Maiorana, Ridvan S. Kuzu, Gabriel E. Hine and Patrizio Campisi

Best Student Paper Award

Neural Network-based Human Motion Smoother
Mathias Bastholm, Stella Graßhof and Sami S. Brandt

Best Poster Award

A New Neural Network Model for Prediction Next Stage of Alzheimer’s Disease
Nour Zawawi, Heba G. Saber, Mohamed Hashem and Tarek F. Gharib

A Step Towards the Explainability of Microarray Data for Cancer Diagnosis with Machine Learning Techniques
Adara R. Nogueira, Artur J. Ferreira and Mário T. Figueiredo

Best Industrial Paper Award

iRNN: Integer-only Recurrent Neural Network
Eyyüb Sari, Vanessa Courville and Vahid Partovi Nia

ICPRAM 2021

Best Paper Award

Active Region Detection in Multi-spectral Solar Images
Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie and Jean Aboudarham

Best Student Paper Award

FLIC: Fast Lidar Image Clustering
Frederik Hasecke, Lukas Hahn and Anton Kummert

Best Poster Award

Knowledge Acquisition on Team Management Aimed at Automation with Use of the System of Organizational Terms
Olaf Flak

Best Industrial Paper Award

Improved HTM Spatial Pooler with Homeostatic Plasticity Control
Damir Dobric, Andreas Pech, Bogdan Ghita and Thomas Wennekers

ICPRAM 2020

Best Paper Award

Segmentation of Moving Objects in Traffic Video Datasets
Anusha Aswath, Renu Rameshan, Biju Krishnan and Senthil Ponkumar

Best Student Paper Award

Learned and Hand-crafted Feature Fusion in Unit Ball for 3D Object Classification
Sameera Ramasinghe, Salman Khan and Nick Barnes

Best Poster Award

Mosaic Images Segmentation using U-net
Gianfranco Fenu, Eric Medvet, Daniele Panfilo and Felice A. Pellegrino

Best Industrial Paper Award

Learning Question Similarity in CQA from References and Query-logs
Alex Zhicharevich, Moni Shahar and Oren S. Shalom

ICPRAM 2019

Best Paper Award

All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations
Yehezkel S. Resheff, Itay Lieder and Tom Hope

Best Student Paper Award

Goal-conditioned User Modeling for Dialogue Systems using Stochastic Bi-Automata
Manex Serras, María Inés Torres and Arantza del Pozo

Best Poster Award

Automatic Perception Enhancement for Simulated Retinal Implants
Johannes Steffen, Georg Hille and Klaus Tönnies

ICPRAM 2018

Best Paper Award

Density-based Clustering using Automatic Density Peak Detection
Huanqian Yan, Yonggang Lu and Heng Ma

Best Student Paper Award

Fully Automatic Faulty Weft Thread Detection using a Camera System and Feature-based Pattern Recognition
Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Thomas Gries and Dorit Merhof

Best Poster Award

Self-Learning 3D Object Classification
Jens Garstka and Gabriele Peters

ICPRAM 2017

Best Paper Award

Compression Techniques for Deep Fisher Vectors
Sarah Ahmed and Tayyaba Azim

How New Information Criteria WAIC and WBIC Worked for MLP Model Selection
Seiya Satoh and Ryohei Nakano

Best Student Paper Award

Analysis of Regionlets for Pedestrian Detection
Niels Ole Salscheider, Eike Rehder and Martin Lauer

Domain Adaptation Transfer Learning by SVM Subject to a Maximum-Mean-Discrepancy-like Constraint
Xiaoyi Chen and Régis Lengellé

ICPRAM 2016

Best Paper Award

k-fold Subsampling based Sequential Backward Feature Elimination
Jeonghwan Park, Kang Li and Huiyu Zhou

Nonparametric Bayesian Line Detection - Towards Proper Priors for Robotic Computer Vision
Anne C. van Rossum, Hai Xiang Lin, Johan Dubbeldam and H. Jaap van den Herik

Best Student Paper Award

Activity Recognition based on High-Level Reasoning - An Experimental Study Evaluating Proximity to Objects and Pose Information
Julia Richter, Christian Wiede, Enes Dayangac, Markus Heß and Gangolf Hirtz

Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification
Roghayeh Soleymani, Eric Granger and Giorgio Fumera

ICPRAM 2015

Best Paper Award

3-D Shape Matching for Face Analysis and Recognition
Wei Quan, Bogdan Matuszewski and Lik-Kwan Shark

Stream-based Active Learning in the Presence of Label Noise
Mohamed-Rafik Bouguelia, Yolande Belaïd and Abdel Belaïd

Best Student Paper Award

Mobility Assessment of Demented People Using Pose Estimation and Movement Detection - An Experimental Study in the Field of Ambient Assisted Living
Julia Richter, Christian Wiede and Gangolf Hirtz

oAdaBoost - An AdaBoost Variant for Ordinal Classification
João Costa and Jaime S. Cardoso

ICPRAM 2014

Best Paper Award

Statistical Shape Model for Simulation of Realistic Endometrial Tissue
Sebastian Kurtek, Chafik Samir and Lemlih Ouchchane

A First Algorithm to Calculate Force Histograms in the Case of 3D Vector Objects
Jameson Reed, Mohammad Naeem and Pascal Matsakis

Best Student Paper Award

Motion Binary Patterns for Action Recognition
Florian Baumann, Jie Lao, Arne Ehlers and Bodo Rosenhahn

Removing Motion Blur using Natural Image Statistics
Johannes Herwig, Timm Linder and Josef Pauli

Best PhD Project Award

Device Level Maverick Screening - Application of Independent Component Analysis in Semiconductor Industry
Anja Zernig, Olivia Bluder, Andre Kästner and Jürgen Pilz

ICPRAM 2013

Best Paper Award

Prediction of Organ Geometry from Demographic and Anthropometric Data based on Supervised Learning Approach using Statistical Shape Atlas
Yoshito Otake, Carneal Catherine, Blake Lucas, Gaurav Thawait, John Carrino, Brian Corner, Marina Carboni, Barry DeCristofano, Michale Maffeo, Andrew Merkle and Mehran Armand

Applications of Discriminative Dimensionality Reduction
Barbara Hammer, Andrej Gisbrecht and Alexander Schulz

Best Student Paper Award

Tracking Subpixel Targets with Critically Sampled Optics
James Lotspeich and Mathias Kolsch

Multiclass Diffuse Interface Models for Semi-supervised Learning on Graphs
Cristina Garcia-Cardona, Arjuna Flenner and Allon G. Percus

ICPRAM 2012

Best Paper Award

A RELATIONAL DISTANCE-BASED FRAMEWORK FOR HIERARCHICAL IMAGE UNDERSTANDING
Laura Antanas, Martijn van Otterlo, José Oramas, Tinne Tuytelaars and Luc De Raedt

ON ORDER EQUIVALENCES BETWEEN DISTANCE AND SIMILARITY MEASURES ON SEQUENCES AND TREES
Martin Emms and Hector-Hugo Franco-Penya

Best Student Paper Award

COMPUTING THE REEB GRAPH FOR TRIANGLE MESHES WITH ACTIVE CONTOURS
Laura Brandolini and Marco Piastra

GENERATIVE EMBEDDINGS BASED ON RICIAN MIXTURES - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images
Anna C. Carli, Mario A. T. Figueiredo, Manuele Bicego and Vittorio Murino