Christopher Joseph Pal

According to our database1, Christopher Joseph Pal authored at least 97 papers between 1997 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2018
Learning normalized inputs for iterative estimation in medical image segmentation.
Medical Image Analysis, 2018

Recurrent semi-supervised classification and constrained adversarial generation with motion capture data.
Image Vision Comput., 2018

Recurrent Transition Networks for Character Locomotion.
CoRR, 2018

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding.
CoRR, 2018

Fashion-Gen: The Generative Fashion Dataset and Challenge.
CoRR, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
CoRR, 2018

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.
CoRR, 2018

Unsupervised Depth Estimation, 3D Face Rotation and Replacement.
CoRR, 2018

Convolutional networks for kidney segmentation in contrast-enhanced CT scans.
CMBBE: Imaging & Visualization, 2018

Liver lesion segmentation informed by joint liver segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Improving probabilistic inference in graphical models with determinism and cycles.
Machine Learning, 2017

Brain tumor segmentation with Deep Neural Networks.
Medical Image Analysis, 2017

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.
Med. Biol. Engineering and Computing, 2017

Movie Description.
International Journal of Computer Vision, 2017

ACtuAL: Actor-Critic Under Adversarial Learning.
CoRR, 2017

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks.
CoRR, 2017

Improving Landmark Localization with Semi-Supervised Learning.
CoRR, 2017

Twin Networks: Using the Future as a Regularizer.
CoRR, 2017

On orthogonality and learning recurrent networks with long term dependencies.
CoRR, 2017

Liver lesion segmentation informed by joint liver segmentation.
CoRR, 2017

Deep Complex Networks.
CoRR, 2017

Self-organized Hierarchical Softmax.
CoRR, 2017

Adversarial Generation of Natural Language.
CoRR, 2017

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation.
CoRR, 2017

A step towards procedural terrain generation with GANs.
CoRR, 2017

Adversarial Generation of Natural Language.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On orthogonality and learning recurrent networks with long term dependencies.
Proceedings of the 34th International Conference on Machine Learning, 2017

Unimodal Probability Distributions for Deep Ordinal Classification.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

RATM: Recurrent Attentive Tracking Model.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
EmoNets: Multimodal deep learning approaches for emotion recognition in video.
J. Multimodal User Interfaces, 2016

Improving facial analysis and performance driven animation through disentangling identity and expression.
Image Vision Comput., 2016

Fully automatic person segmentation in unconstrained video using spatio-temporal conditional random fields.
Image Vision Comput., 2016

Movie Description.
CoRR, 2016

Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets.
CoRR, 2016

Convolutional Residual Memory Networks.
CoRR, 2016

A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering.
CoRR, 2016

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.
CoRR, 2016

The Importance of Skip Connections in Biomedical Image Segmentation.
CoRR, 2016

A simple squared-error reformulation for ordinal classification.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

The Importance of Skip Connections in Biomedical Image Segmentation.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Learning from weakly labeled faces and video in the wild.
Pattern Recognition, 2015

Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism.
CoRR, 2015

Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research.
CoRR, 2015

Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression.
CoRR, 2015

EmoNets: Multimodal deep learning approaches for emotion recognition in video.
CoRR, 2015

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation.
CoRR, 2015

Brain Tumor Segmentation with Deep Neural Networks.
CoRR, 2015

A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation.
CoRR, 2015

Semi-supervised Learning with Encoder-Decoder Recurrent Neural Networks: Experiments with Motion Capture Sequences.
CoRR, 2015

Delving Deeper into Convolutional Networks for Learning Video Representations.
CoRR, 2015

A Convolutional Neural Network Approach to Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Recurrent Neural Networks for Emotion Recognition in Video.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Describing Videos by Exploiting Temporal Structure.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Exploiting Determinism to Scale Relational Inference.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning.
Mach. Vis. Appl., 2014

Facial Expression Analysis Based on High Dimensional Binary Features.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Experiments on Visual Information Extraction with the Faces of Wikipedia.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

2012
On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference.
International Journal of Computer Vision, 2012

Automated person segmentation in videos.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Improving alignment of faces for recognition.
Proceedings of the 2011 IEEE International Symposium on Robotic and Sensors Environments, 2011

3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Spatially consistent view synthesis with coordinate alignment.
Proceedings of the IEEE International Conference on Acoustics, 2011

Semi Supervised Learning for Wild Faces and Video.
Proceedings of the British Machine Vision Conference, 2011

Heterogeneous Transfer Learning with RBMs.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
YouTube Scale, Large Vocabulary Video Annotation.
Proceedings of the Video Search and Mining, 2010

View synthesis based on Conditional Random Fields and graph cuts.
Proceedings of the International Conference on Image Processing, 2010

Cross Lingual Adaptation: An Experiment on Sentiment Classifications.
Proceedings of the ACL 2010, 2010

2009
Semi-Supervised Learning of Visual Classifiers from Web Images and Text.
Proceedings of the IJCAI 2009, 2009

Activity recognition using the velocity histories of tracked keypoints.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Behavior Recognition in Video with Extended Models of Feature Velocity Dynamics.
Proceedings of the Human Behavior Modeling, 2009

2008
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing.
Proceedings of the Computer Vision, 2008

2007
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering.
BMC Bioinformatics, 2007

Generalized component analysis for text with heterogeneous attributes.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Semi-supervised classification with hybrid generative/discriminative methods.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Improving Author Coreference by Resource-Bounded Information Gathering from the Web.
Proceedings of the IJCAI 2007, 2007

Learning Conditional Random Fields for Stereo.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
An Exploration of User Interface Designs for Real-Time Panoramic.
Australasian J. of Inf. Systems, 2006

Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

CC Prediction with Graphical Models.
Proceedings of the CEAS 2006, 2006

Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification.
Proceedings of the Proceedings, 2006

2005
Panoramic video textures.
ACM Trans. Graph., 2005

Panoramic viewfinder: providing a real-time preview to help users avoid flaws in panoramic pictures.
Proceedings of the 2005 Australasian Computer-Human Interaction Conference, 2005

Efficiently Registering Video into Panoramic Mosaics.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Interactive Montages of Sprites for Indexing and Summarizing Security Video.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Probability Models for High Dynamic Range Imaging.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2002
Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation.
Proceedings of the IEEE International Conference on Acoustics, 2002

Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance.
Proceedings of the Computer Vision, 2002

1999
Case Libraries and Information Theoretic Case Matching for Soil and Water Resources Management.
Proceedings of the Environmental Software Systems: Environmental Information and Decision Support, IFIP TC5 WG5.11 3rd International Symposium on Environmental Software Systems (ISESS'99), August 30, 1999

1998
A technique for illustrating dynamic component level interactions within a software architecture.
Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative Research, November 30, 1998

1997
A Two-Ball Mouse Affords Three Degrees of Freedom.
Proceedings of the Human Factors in Computing Systems, 1997


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