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2021 | Are you sure? Prediction revision in automated decision-making Burkart, Nadia; Robert, Sebastian; Huber, Marco | Journal Article |
2021 | A Deep Learning Method for the Impact Damage Segmentation of Curve-Shaped CFRP Specimens Inspected by Infrared Thermography Wei, Ziang; Fernandes, Henrique Coelho; Herrmann, Hans-Georg; Tarpani, Jose Ricardo; Osman, Ahmad | Journal Article |
2021 | Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status Piotrowski, Tobias; Rippel, Oliver; Elanzew, Andreas; Nießing, Bastian; Stucken, Sebastian; Jung, Sven; König, Niels; Haupt, Simone; Stappert, Laura; Brüstle, Oliver; Schmitt, Robert; Jonas, Stephan | Journal Article |
2020 | 3D-Reconstruction and Semantic Segmentation of Cystoscopic Images Negassi, Misgana; Parupalli, Ujwala; Suarez-Ibarrola, Rodrigo; Schmitt, Annette; Hein, Simon; Miernik, Arkadiusz; Reiterer, Alexander | Conference Paper |
2020 | 6D object pose estimation algorithm using preprocessing of segmentation and keypoint extraction Zhang, Y.; Zhang, C.; Rosenberger, M.; Notni, G. | Conference Paper |
2020 | Acoustic Resonance Recognition of Coins Kraljevski, Ivan; Duckhorn, Frank; Ju, Yong Chul; Tschöpe, Constanze; Richter, Christian; Wolff, Matthias | Conference Paper |
2020 | Application of artificial neural networks for automated analysis of cystoscopic images Negassi, Misgana; Suarez-Ibarrola, Rodrigo; Hein, Simon; Miernik, Arkadiusz; Reiterer, Alexander | Journal Article |
2020 | An Approach to Near-lossless Hyperspectral Data Compression using Deep Autoencoder Küster, Jannik; Groß, Wolfgang; Middelmann, Wolfgang | Conference Paper |
2020 | Automated quantitative analyses of fatigue-induced surface damage by deep learning Thomas, A.; Durmaz, A.R.; Straub, T.; Eberl, C. | Journal Article |
2020 | AutoML Techniques for Medical Image Segmentation Sehring, Jannik Matthias : Kuijper, Arjan (1. Gutachten); Mukhopadhyay, Anirban | Master Thesis |
2020 | Autonomous guidewire navigation in a two dimensional vascular phantom Karstensen, Lennart; Behr, Tobias; Pusch, Tim Philipp; Mathis-Ullrich, Franziska; Stallkamp, Jan | Journal Article |
2020 | AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation Kügler, David; Uecker, Marc; Kuijper, Arjan; Mukhopadhyay, Anirban | Conference Paper |
2020 | Bayesian Deep Learning for Medical Image Analysis and Diagnosis Fuchs, Moritz : Kuijper, Arjan (1. Review); Mukhopadhyay, Anirban (2. Review) | Master Thesis |
2020 | Benchmarking Uncertainty Estimation Methods for Deep Learning with Safety-Related Metrics Henne, Maximilian; Schwaiger, Adrian; Roscher, Karsten; Weiß, Gereon | Conference Paper |
2020 | Compact Models for Periocular Verification Through Knowledge Distillation Boutros, Fadi; Damer, Naser; Fang, Meiling; Raja, Kiran; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | De-disguise Faces for Accurate Disguised Faces Recognition Süßmilch, Marius : Kuijper, Arjan (1. Review); Kohlhammer, Jörn (2. Review) | Bachelor Thesis |
2020 | Deep Learning Multi-layer Fusion for an Accurate Iris Presentation Attack Detection Fang, Meiling; Damer, Naser; Boutros, Fadi; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Digital image processing with deep learning for automated cutting tool wear detection Bergs, Thomas; Holst, Carsten; Gupta, Pranjul; Augspurger, Thorsten | Journal Article |
2020 | Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines Hranisavljevic, Nemanja; Maier, Alexander; Niggemann, Oliver | Journal Article |
2020 | Efficient Deployment of Deep Neural Networks for Quality Inspection of Solar Cells using Smart Labeling Kunze, P.; Greulich, J.; Rein, S.; Ramspeck, K.; Hemsendorf, M.; Vetter, A.; Demant, M. | Conference Paper |
2020 | Einsatz von Reinforcement Learning zur Autonomen Navigation Hensel, Tina | Presentation |
2020 | Evaluation of transfer learning of pre-trained CNNs applied to breast cancer detection on infrared images Chaves, Esdras; Gonçalves, Caroline B.; Albertini, Marcelo K.; Lee, Soojeong; Jeon, Gwanggil; Fernandes, Henrique Coelho | Journal Article |
2020 | A first step towards automated image-based container inspections Kloever, Steffen; Kretschmann, Lutz; Jahn, Carlos | Conference Paper |
2020 | Fusing Iris and Periocular Region for User Verification in Head Mounted Displays Boutros, Fadi; Damer, Naser; Raja, Kiran; Ramachandra, Raghavendra; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2020 | Generation, Classification and Segmentation of Point Clouds in Logistic Context with PointNet++ and DGCNN Chai, Keng Yip; Stenzel, Jonas; Jost, Jana | Conference Paper |
2020 | A hybrid framework for bearing fault diagnosis using physics-guided neural networks Krupp, Lukas; Hennig, Andreas; Wiede, Christian; Grabmaier, Anton | Conference Paper |
2020 | Investigation and Implementation of Machine Learning Algorithms for Condition Monitoring of Piezoelectrically Driven Micropumps Trautmann, Mauriz | Master Thesis |
2020 | Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection? Schwaiger, Adrian; Sinhamahapatra, Poulami; Gansloser, Jens; Roscher, Karsten | Conference Paper |
2020 | Learned Data Augmentation for Model Optimization Hsu, Wei-Hung : Kuijper, Arjan (1. Review); Boutros, Fadi (2. Review) | Master Thesis |
2020 | Leitfaden Künstliche Intelligenz - Potenziale und Umsetzungen im Mittelstand : Röhler, Marcus (Hrsg.); Haghi, Sajedeh (Hrsg.) | Report |
2020 | Motion Analysis on Depth Camera Data to Quantify Parkinson's Disease Patients' Motor Status within the Framework of I-Prognosis Personalized Game Suite Dias, Sofia B.; Grammatikopoulou, Athina; Grammalidis, Nikos; Diniz, José A.; Savvidis, Theodore; Konstantinidis, Evdokimos; Bamidis, Panagiotis; Stadtschnitzer, Michael; Trivedi, Dhaval; Klingelhoefer, Lisa; Katsarou, Zoe; Bostantzopoulou, Sevasti; Dimitropoulos, Kosmas; Hadjileontiadis, Leontios J. | Conference Paper |
2020 | Neuronale Netze: Ein Blick in die Black Box Schaaf, Nina | Journal Article |
2020 | Object Detection in Sonar Images Karimanzira, Divas; Renkewitz, Helge; Shea, David; Albiez, Jan | Journal Article |
2020 | Post-comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization Terhörst, Philipp; Kolf, Jan Niklas; Damer, Naser; Kirchbuchner, Florian; Kuijper, Arjan | Journal Article |
2020 | Predictive Analysis of Business Processes Using Neural Networks with Attention Mechanism Philipp, Patrick; Jacob, Ruben; Robert, Sebastian; Beyerer, Jürgen | Conference Paper |
2020 | Preventing Catastrophic Forgetting in Deep Learning Classifiers González, Camila : Kuijper, Arjan (1. Gutachter); Mukhopadhyay, Anirban (2. Gutachter) | Master Thesis |
2020 | Reducing Deep Face Recognition Model Size by Knowledge Distillation Klemt, Marcel : Kuijper, Arjan (1. Review); Boutros, Fadi (2. Review) | Bachelor Thesis |
2020 | SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures Aslansefat, Koorosh; Sorokos, Ioannis; Whiting, Declan; Tavakoli Kolagari, Ramin; Papadopoulos, Yiannis | Conference Paper |
2020 | Sampling Based Methods for Uncertainty Quantification in Neural Networks Felgentreff, Jens : Ankerst, Donna (Aufgabensteller); Schwaiger, Adrian (Betreuer) | Bachelor Thesis |
2020 | Search, Identification and Collection of Marine Litter using Autonomous Robots (SeaClear) Introduction Delea, Cosmin | Presentation |
2020 | Search, Identification and Collection of Marine Litter using Autonomous Robots (SeaClear) Introduction Delea, Cosmin | Poster |
2020 | Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery Hermann, Max; Ruf, Boitumelo; Weinmann, Martin; Hinz, Stefan | Conference Paper |
2020 | A Shape-Model based Loss for End-to-End Training of Neural Networks Bohlender, Simon Peter : Kuijper, Arjan (1. Review); Mukhopadhyay, Anirban (2. Review) | Master Thesis |
2020 | Single Shot 6D Object Pose Estimation Kleeberger, Kilian; Huber, Marco | Conference Paper |
2020 | Skill-based Programming of Force-controlled Assembly Tasks using Deep Reinforcement Learning Lämmle, Arik; König, Thomas; El-Shamouty, Mohamed; Huber, Marco | Journal Article, Conference Paper |
2020 | A Survey on Learning-Based Robotic Grasping Kleeberger, Kilian; Bormann, Richard; Kraus, Werner; Huber, Marco | Journal Article |
2020 | A Systemic Approach for Early Warning in Crisis Prevention and Management Kuwertz, Achim; Moll, Maximilian; Sander, Jennifer; Pickl, Stefan | Conference Paper |
2020 | Time-unfolding Object Existence Detection in Low-quality Underwater Videos using Convolutional Neural Networks Tödtmann, Helmut; Vahl, Matthias; Lukas, Uwe von; Ullrich, Torsten | Conference Paper |
2020 | Towards automated Capability Assessment leveraging Deep Learning Schönhof, Raoul; Fechter, Manuel | Journal Article, Conference Paper |
2020 | Towards Safe Human-Robot Collaboration Using Deep Reinforcement Learning El-Shamouty, Mohamed; Wu, Xinyang; Yang, Shanqi; Albus, Marcel; Huber, Marco | Conference Paper |
2020 | What identifies a whale by its fluke? On the benefit of interpretable machine learning for whale identification Kierdorf, J.; Garcke, J.; Behley, J.; Cheeseman, T.; Roscher, R. | Conference Paper |
2020 | Where to drive: free space detection with one fisheye camera Scheck, Tobias; Mallandur, Adarsh; Wiede, Christian; Hirtz, Gangolf | Conference Paper |
2019 | Activity recognition in manual manufacturing: Detecting screwing processes from sensor data Günther, Lisa; Kärcher, Susann; Bauernhansl, Thomas | Journal Article, Conference Paper |
2019 | ALICE - Artificial Intelligence Catheter. Towards Autonomous Closed Loop Control of Passive Endovascular Catheters Based on Deep Reinforcement Learning Karstensen, Lennart; Pusch, Tim Philipp; Siegfarth, Marius; Behr, Tobias; Hüsener, Dominik; Pätz, Torben; Strehlow, Jan | Poster |
2019 | Anwendungsfelder von künstlicher Intelligenz in Industrie 4.0 Systemen Kerner, Sören; Leveling, Jens; Urbann, Oliver; Weickhmann, Luise; Otten, Maximilian; Vogel, Maurice | Book Article |
2019 | Automatisierte Geschäftsmodellanalysen mit Deep Neural Networks Sachs, Moritz Karl : Unbescheiden, Matthias (Betreuer); Buxmann, Peter (Betreuer) | Master Thesis |
2019 | Automatisierte Interpretation von 3D-Daten - Stand der Technik und zukünftige Entwicklungen Reiterer, Alexander; Störk, Dominik; Wäschle, Katharina; Leydecker, Achim; Leidinger, Markus | Conference Paper |
2019 | Classification of black plastics waste using fluorescence imaging and machine learning Gruber, Florian; Grählert, Wulf; Wollmann, Philipp; Kaskel, Stefan | Journal Article |
2019 | Comparison of Angle and Size Features with Deep Learning for Emotion Recognition Dunau, Patrick; Huber, Marco; Beyerer, Jürgen | Conference Paper |
2019 | Comprehensive Analysis of Deep Learning-based Vehicle Detection in Aerial Images Sommer, L.; Schuchert, Tobias; Beyerer, Jürgen | Journal Article |
2019 | Deep learning for clustering of multivariate clinical patient trajectories with missing values Jong, Johann de; Emon, Mohammad Asif; Wu, Ping; Karki, Reagon; Sood, Meemansa; Godard, Patrice; Ahmad, Ashar; Vrooman, Henri; Hofmann-Apitius, Martin; Fröhlich, Holger | Journal Article |
2019 | Deep Learning-Based Mutual Detection and Collaborative Localization for Mobile Robot Fleets Using Solely 2D LIDAR Sensors Dietrich, Robin; Dörr, Stefan | Conference Paper |
2019 | Deep Reinforcement Learning for the Navigation of Neurovascular Catheters Behr, Tobias; Pusch, Tim Philipp; Siegfarth, Marius; Hüsener, Dominik; Mörschel, Tobias; Karstensen, Lennart | Journal Article |
2019 | Development of a Fire Detection Based on the Analysis of Video Data by Means of Convolutional Neural Networks Lehr, Jan; Gerson, Christian; Ajami, Mohamad; Krüger, Jörg | Conference Paper |
2019 | Enhancing the Texture Quality of 3D Building Models Dahlke, Jannik Oliver : Fellner, Dieter W. (1. Review); Erdt, Marius (2. Review) | Master Thesis |
2019 | Generalization of SELU to CNN Ha, Bach : Plöger, Paul G.; Kraetzschmar, Gerhard K.; Zimmermann, Florian | Master Thesis |
2019 | Habitat-Net: Segmentation of Habitat Images Using Deep Learning Abrams, Jesse F.; Vashishtha, Anand; Wong, Seth T.; Nguyen, An; Mohamed, Azlan; Wieser, Sebastian; Kuijper, Arjan; Wilting, Andreas; Mukhopadhyay, Anirban | Journal Article |
2019 | Handling Work Complexity with AR/Deep Learning Dhiman, Hitesh; Büttner, Sebastian; Röcker, Carsten; Reisch, Raphael | Conference Paper |
2019 | Künstliche Intelligenz in der Logistik. Was steht hinter dem Hype? Leveling, Jens | Presentation |
2019 | Localization and Mapping of Monocular Cameras in Large Urban Environments using Virtual City Models Pandikow, Lars : Kuijper, Arjan (1. Gutachten); Gutbell, Ralf (2. Gutachten) | Master Thesis |
2019 | Machine Learning für Produktion und Robotik Huber, Marco | Journal Article |
2019 | Mitdenken angesagt Huber, Marco | Journal Article |
2019 | Neue Möglichkeiten durch Machine Learning Leveling, Jens | Presentation |
2019 | NVIDIA DGX-2 - Der Supercomputer Hoppe, Christian; Roeder, Sebastian; Pionzewski, Christian; Leveling, Jens | Presentation |
2019 | Person Identification and Body Mass Index: A Deep Learning-Based Study on Micro-Dopplers Abdulatif, Sherif; Aziz, Fady; Armanious, Karim; Kleiner, Bernhard; Yang, Bin; Schneider, Urs | Conference Paper |
2019 | Robotik und künstliche Intelligenz Kleeberger, Kilian | Conference Paper |
2019 | Selbstoptimierung in der Fabrikhalle Mayer-Grenu, Andrea | Journal Article |
2019 | Self-learning Shape Recognition in Medical Images Ma, Jingting : Lin, Feng (Supervisor); Erdt, Marius (Supervisor); Fellner, Dieter W. (Co-Supervisor); Wesarg, Stefan (Co-Supervisor) | Dissertation |
2019 | SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes Azimi, Seyed M.; Henry, Crentin; Sommer, Lars; Schumann, Arne; Vig, Eleonora | Conference Paper |
2019 | Sounding Industry: Challenges and Datasets for Industrial Sound Analysis Grollmisch, Sascha; Abeßer, Jakob; Liebetrau, Judith; Lukashevich, Hanna | Conference Paper |
2019 | Towards Adversarial Denoising of Radar Micro-Doppler Signatures Abdulatif, Sherif; Armanious, Karim; Aziz, Fady; Schneider, Urs; Yang, Bin | Conference Paper |
2019 | Towards information extraction from ISR reports for decision support using a two-stage learning-based approach Mühlenberg, Dirk; Kuwertz, Achim; Schenkel, P.; Müller, Wilmuth | Conference Paper |
2019 | Underwater Color Restoration Using U-Net Denoising Autoencoder Hashisho, Yousif; Albadawi, Mohamad; Krause, Tom; Lukas, Uwe von | Conference Paper |
2019 | Unterwasserdetektion von Munitionsaltlasten auf Sonarbildern durch Convolutional Neural Networks Sidin, Dennis : Ferrein, Alexander (Betreuender Professor); Albadawi, Mohamad (Betreuender Mitarbeiter) | Bachelor Thesis |
2019 | Wind Power Forecasting Based on Deep Neural Networks and Transfer Learning Vogt, Stephan; Braun, Axel; Dobschinski, Jan; Sick, Bernhard | Conference Paper |
2018 | 3D object classification and parameter estimation based on parametric procedural models Getto, Roman; Fina, Kenten; Jarms, Lennart; Kuijper, Arjan; Fellner, Dieter W. | Conference Paper |
2018 | Application and evaluation of meta-model assisted optimisation strategies for gripper assisted fabric draping in composite manufacturing Zimmerling, Clemens; Pfrommer, Julius; Liu, Jinzhao; Beyerer, Jürgen; Henning, Frank; Kärger, Luise | Conference Paper |
2018 | Automatic analysis of sewer pipes based on unrolled monocular fisheye images Künzel, Johannes; Werner, Thomas; Eisert, Peter; Waschnewski, Jan; Möller, Ronja; Hilpert, Ralf | Conference Paper |
2018 | A characterization of quality of sheared edge in fine blanking using edge-computing approach Trauth, Daniel; Stanke, Joachim; Feuerhack, Andreas; Bergs, Thomas; Mattfeld, Patrick; Klocke, Fritz | Journal Article, Conference Paper |
2018 | CrazyFaces: Unassisted Circumvention of Watchlist Face Identification Damer, Naser; Wainakh, Yaza; Boller, Viola; Berken von den, Sven; Terhörst, Philipp; Braun, Andreas; Kuijper, Arjan | Conference Paper |
2018 | Deep Cross-Domain Building Extraction for Selective Depth Estimation from Oblique Aerial Imagery Ruf, Boitumelo; Thiel, Laurenz; Weinmann, Martin | Conference Paper |
2018 | Digital microscopy, image analysis, and virtual slide repository Aeffner, Famke; Adissu, Hibret A.; Boyle, Michael C.; Cardiff, Robert D.; Hagendorn, Erik; Hoenerhoff, Mark J.; Klopfleisch, Robert; Newbigging, Susan; Schaudien, Dirk; Turner, Oliver; Wilson, Kristin | Journal Article |
2018 | Exploring adversarial examples. Patterns of one-pixel attacks Kügler, David; Distergoft, Alexander; Kuijper, Arjan; Mukhopadhyay, Anirban | Conference Paper |
2018 | An image processing pipeline for long range UAV detection Schumann, Arne; Sommer, L.; Müller, Thomas; Voth, Sascha | Conference Paper |
2018 | Improvement of persistent tracking in wide area motion imagery by CNN-based motion detections Hartung, C.; Spraul, Raphael; Krüger, Wolfgang | Conference Paper |
2018 | Industrial robot control with object recognition based on deep learning Chen, Xi; Guhl, Jan | Journal Article, Conference Paper |
2018 | An integrated deep neural network for defect detection in dynamic textile textures Siegmund, Dirk; Prajapati, Ashok; Kirchbuchner, Florian; Kuijper, Arjan | Conference Paper |
2018 | Künstliche Intelligenz in der Robotik Kleeberger, Kilian | Conference Paper |
2018 | A light and faster regional convolutional neural network for object detection in optical remote sensing images Ding, Peng; Zhang, Ye; Deng, Wei-Jian; Jia, Ping; Kuijper, Arjan | Journal Article |
2018 | Machine learning methods for remote sensing applications: An overview Schulz, Karsten; Hänsch, Ronny; Sörgel, Uwe | Conference Paper |
2018 | Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches Abdulatif, Sherif; Wei, Qian; Aziz, Fady; Kleiner, Bernhard; Schneider, Urs | Conference Paper |
2018 | MorGAN: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Generative Adversarial Network Damer, Naser; Moseguí Saladié, Alexandra; Braun, Andreas; Kuijper, Arjan | Conference Paper |
2018 | Multi-modal three-stream network for action recognition Khalid, Muhammad Usman; Yu, Jie | Conference Paper |
2018 | Optimisation of manufacturing process parameters using deep neural networks as surrogate models Pfrommer, J.; Zimmerling, C.; Liu, J.; Kärger, L.; Henning, F.; Beyerer, J. | Journal Article, Conference Paper |
2018 | Resolving Classifcation Ambiguities in Convolutional Neural Networks Using Hierarchical Structures Albadawi, Mohamad : Lukas, Uwe von (Supervising professor); Krause, Tom (Tutor) | Master Thesis |
2018 | Search Area Reduction Fast-RCNN for Fast Vehicle Detection in Large Aerial Imagery Sommer, L.; Schmidt, N.; Schumann, Arne; Beyerer, Jürgen | Conference Paper |
2018 | Systematic evaluation of deep learning based detection frameworks for aerial imagery Sommer, L.; Steinmann, L.; Schumann, Arne; Beyerer, Jürgen | Conference Paper |
2017 | CNNs under attack. On the vulnerability of deep neural networks based face recognition to image morphing Wandzik, Lukasz; Vicente-Garcia, Raul; Kaeding, Gerald; Chen, Xi | Conference Paper |
2017 | Deep learning based multi-category object detection in aerial images Sommer, L.W.; Schuchert, Tobias; Beyerer, Jürgen | Conference Paper |
2017 | Deep neural network based human activity recognition for the order picking process Grzezick, Rene; Lenk, Jan Marius; Rueda, Fernando Moya; Fink, Gernot A.; Feldhorst, Sascha; Ten Hompel, Michael | Conference Paper |
2017 | Licht bringen in die Datenkugel Klaiber, Stefan | Journal Article |
2017 | Movies tags extraction using deep learning Khan, Umair Ali; Ejaz, Naveed; Martinez-del-Amor, Miguel A.; Sparenberg, Heiko | Conference Paper |
2017 | Noise-insensitive no-reference image blur estimation by convolutional neural networks Wegner, Daniel; Körber, Michael; Repasi, Endre | Conference Paper |
2017 | Person re-identification across aerial and ground-based cameras by deep feature fusion Schumann, A.; Metzler, Jürgen | Conference Paper |
2017 | Technologische Zukünfte - Was kommt auf uns zu? Bantes, René | Presentation |
2017 | Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge Setio, A.A.A.; Traverso, A.; Bel, T. de; Berens, M.S.N.; Bogaard, C. van den; Cerello, P.; Chen, H.; Dou, Q.; Fantacci, M.E.; Geurts, B.; Gugten, R.V.D.; Heng, P.A.; Jansen, B.; Kaste, M.M.J. de; Kotov, V.; Lin, J.Y.-H.; Manders, J.T.M.C.; Sóñora-Mengana, A.; García-Naranjo, J.C.; Papavasileiou, E.; Prokop, M.; Saletta, M.; Schaefer-Prokop, C.M.; Scholten, E.T.; Scholten, L.; Snoeren, M.M.; Torres, E.L.; Vandemeulebroucke, J.; Walasek, N.; Zuidhof, G.C.A.; Ginneken, B. van; Jacobs, C. | Journal Article |
2016 | AAC encoding detection and bitrate estimation using a convolutional neural network Seichter, Daniel; Cuccovillo, Luca; Aichroth, Patrick | Conference Paper |
2016 | Deep person re-identification in aerial images Schumann, A.; Schuchert, Tobias | Conference Paper |
2015 | Challenges in representation learning: A report on three machine learning contests Goodfellow, Ian J.; Erhan, Dumitru; Carrier, Pierre Luc; Courville, Aaron; Mirza, Mehdi; Hamner, Ben; Cukierski, Will; Tang, Yichuan; Thaler, David; Lee, Dong-Hyun; Zhou, Yingbo; Ramaiah, Chetan; Feng, Fangxiang; Li, Ruifan; Wang, Xiaojie; Athanasakis, Dimitris; Shawe-Taylor, John; Milakov, Maxim; Park, John; Ionescu, Radu; Popescu, Marius; Grozea, Cristian; Bergstra, James; Xie, Jingjing; Romaszko, Lukasz; Xu, Bing; Chuang, Zhang; Bengio, Yoshua | Journal Article, Conference Paper |