Hannes Schulz

发表

Line structure-based localization for soccer robots

Jörg Stückler, Sven Behnke, Hannes Schulz, 2009 .

Real time interaction with mobile robots using hand gestures

Dirk Schulz, Hannes Schulz, Kishore Reddy Konda, 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning

Sven Behnke, Tapani Raiko, Kyunghyun Cho, 2013, ICONIP.

Frames: a corpus for adding memory to goal-oriented dialogue systems pdf

Hannes Schulz, Layla El Asri, Shikhar Sharma, 2017, SIGDIAL Conference.

Designing User Interfaces for Smart-Applications for Operating Rooms and Intensive Care Units

Michael Herczeg, Martin Christof Kindsmüller, Hannes Schulz, 2009, INTERACT.

The Eighth Dialog System Technology Challenge pdf

Anoop Cherian, Jianfeng Gao, Sungjin Lee, 2019, ArXiv.

Impact of coprocessors on a multithreaded processor design using prioritized threads

Andreas C. Döring, Frank Penczek, Torben Schneider, 2006, 14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP'06).

Learning Two-Layer Contractive Encodings

Sven Behnke, Hannes Schulz, Sven Behnke, 2012, ICANN.

Learning Object Recognition and Object Class Segmentation with Deep Neural Networks on GPU

Hannes Schulz, Hannes Schulz, 2017 .

Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes

Sven Behnke, Carme Torras, Babette Dellen, 2017, IEEE Robotics and Automation Letters.

Structured Prediction for Object Detection in Deep Neural Networks

Sven Behnke, Hannes Schulz, Sven Behnke, 2014, ICANN.

Object class segmentation of RGB-D video using recurrent convolutional neural networks

Sven Behnke, Hannes Schulz, Mircea Serban Pavel, 2017, Neural Networks.

Two-layer contractive encodings for learning stable nonlinear features

Sven Behnke, Tapani Raiko, Kyunghyun Cho, 2015, Neural Networks.

3d Reconstruction of Plant Roots from Mri Images

Hanno Scharr, Sven Behnke, Dagmar van Dusschoten, 2012 .

ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries

Kristian Kersting, Hannes Schulz, Andreas Karwath, 2009, ILP.

RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features

Sven Behnke, Max Schwarz, Hannes Schulz, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Two-Layer Contractive Encodings with Linear Transformation of Perceptrons for Semi-Supervised Learning

Sven Behnke, Tapani Raiko, Kyunghyun Cho, 2013 .

NimbRo TeenSize 2008 Team Description

Jörg Stückler, Sven Behnke, Hannes Schulz, 2008 .

CURFIL: A GPU Library for Image Labeling with Random Forests

Sven Behnke, Hannes Schulz, Rasha Sheikh, 2015, VISIGRAPP.

Results of the Multi-Domain Task-Completion Dialog Challenge

Jianfeng Gao, Sungjin Lee, Minlie Huang, 2020, AAAI 2020.

Exploiting local structure in Boltzmann machines

Sven Behnke, Hannes Schulz, Andreas C. Müller, 2011, Neurocomputing.

Towards a Scalable and Distributed Infrastructure for Deep Learning Applications

Bita Hasheminezhad, Patrick Diehl, Hannes Schulz, 2020, 2020 IEEE/ACM Fourth Workshop on Deep Learning on Supercomputers (DLS).

Layer-wise Learning of Feature Hierarchies

Sven Behnke, Hannes Schulz, Sven Behnke, 2012 .

From FiLM to Video: Multi-turn Question Answering with Multi-modal Context pdf

Tien Dat Nguyen, Hannes Schulz, Layla El Asri, 2018, ArXiv.

Topological features in locally connected RBMs

Sven Behnke, Hannes Schulz, Andreas C. Müller, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Monitoring monitor for electronic monitoring of sensor signals in the context of sepsis monitoring, and a corresponding method

Hannes Schulz, Desislava Nikolova, Petra Schiwiaka, 2014 .

Keep Drawing It: Iterative language-based image generation and editing pdf

Yoshua Bengio, Graham W. Taylor, Hannes Schulz, 2018, ArXiv.

Deep Learning

Sven Behnke, Hannes Schulz, Sven Behnke, 2012, KI - Künstliche Intelligenz.

Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks

Sven Behnke, Hannes Schulz, Nico Höft, 2014, KI.

Semantic segmentation priors for object discovery

Sven Behnke, Carme Torras, Simone Frintrop, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution

Jackie Chi Kit Cheung, Hannes Schulz, Adam Trischler, 2018, ACL.

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction

Yoshua Bengio, Hannes Schulz, Samira Ebrahimi Kahou, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer

Igor Shalyminov, Hannes Schulz, Adam Atkinson, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Usability Engineering für medizinische Unterstützungssysteme im Bereich Smart-ApplicationsUsability Engineering for Medical Decision Support Systems (Smart-Applications)

Martin Christof Kindsmüller, Hannes Schulz, Maral Haar, 2009, i-com.

Recurrent convolutional neural networks for object-class segmentation of RGB-D video

Sven Behnke, Hannes Schulz, Mircea Serban Pavel, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Hierarchical reactive control for a team of humanoid soccer robots

Jörg Stückler, Sven Behnke, Hannes Schulz, 2007, 2007 7th IEEE-RAS International Conference on Humanoid Robots.

Object-Class Segmentation using Deep Convolutional Neural Networks

Sven Behnke, Hannes Schulz, 2011 .

Policy Networks with Two-Stage Training for Dialogue Systems

Jing He, Mehdi Fatemi, Hannes Schulz, 2016, SIGDIAL Conference.

Learning Object-Class Segmentation with Convolutional Neural Networks

Sven Behnke, Hannes Schulz, Sven Behnke, 2012, ESANN.