Christopher Joseph Pal

Orcid: 0000-0001-6534-2114

Affiliations:
  • Polytechnique Montréal, QC, Canada


According to our database1, Christopher Joseph Pal authored at least 210 papers between 1997 and 2024.

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Bibliography

2024
Multi-resolution continuous normalizing flows.
Ann. Math. Artif. Intell., October, 2024

Exploring validation metrics for offline model-based optimisation with diffusion models.
Trans. Mach. Learn. Res., 2024

GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models.
CoRR, 2024

Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality.
CoRR, 2024

Robust Guided Diffusion for Offline Black-Box Optimization.
CoRR, 2024

DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design.
CoRR, 2024

InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation.
CoRR, 2024

Learning Action and Reasoning-Centric Image Editing from Videos and Simulations.
CoRR, 2024

RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.
CoRR, 2024

Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion.
CoRR, 2024

CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling.
CoRR, 2024

LLMs can learn self-restraint through iterative self-reflection.
CoRR, 2024

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning.
CoRR, 2024

Language Models Can Reduce Asymmetry in Information Markets.
CoRR, 2024

LitLLM: A Toolkit for Scientific Literature Review.
CoRR, 2024

Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Visual question answering from another perspective: CLEVR mental rotation tests.
Pattern Recognit., April, 2023

Bridging the Gap Between Target Networks and Functional Regularization.
Trans. Mach. Learn. Res., 2023

Neural Causal Structure Discovery from Interventions.
Trans. Mach. Learn. Res., 2023

Workflow Discovery from Dialogues in the Low Data Regime.
Trans. Mach. Learn. Res., 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

Towards Learning to Imitate from a Single Video Demonstration.
J. Mach. Learn. Res., 2023

Capture the Flag: Uncovering Data Insights with Large Language Models.
CoRR, 2023

StarVector: Generating Scalable Vector Graphics Code from Images.
CoRR, 2023

Block-State Transformer.
CoRR, 2023

Goal-conditioned GFlowNets for Controllable Multi-Objective Molecular Design.
CoRR, 2023

Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans.
CoRR, 2023

ArK: Augmented Reality with Knowledge Interactive Emergent Ability.
CoRR, 2023

Controllable Image Generation via Collage Representations.
CoRR, 2023

Conservative objective models are a special kind of contrastive divergence-based energy model.
CoRR, 2023

Score-based Diffusion Models in Function Space.
CoRR, 2023

Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments.
CoRR, 2023

Block-State Transformers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are Diffusion Models Vision-And-Language Reasoners?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Parallel-mentoring for Offline Model-based Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Does Entity Abstraction Help Generative Transformers Reason?
Trans. Mach. Learn. Res., 2022

Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance.
CoRR, 2022

Towards good validation metrics for generative models in offline model-based optimisation.
CoRR, 2022

A General Purpose Neural Architecture for Geospatial Systems.
CoRR, 2022

Implicit Offline Reinforcement Learning via Supervised Learning.
CoRR, 2022

Score-based Denoising Diffusion with Non-Isotropic Gaussian Noise Models.
CoRR, 2022

Using Graph Algorithms to Pretrain Graph Completion Transformers.
CoRR, 2022

Challenges in leveraging GANs for few-shot data augmentation.
CoRR, 2022

SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows.
Proceedings of the SIGGRAPH Asia 2022 Technical Communications, 2022

Neural Attentive Circuits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Attention-based Neural Cellular Automata.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Direct Behavior Specification via Constrained Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning to Guide and to be Guided in the Architect-Builder Problem.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Multi-Objective Curricula for Robotic Policy Learning.
Proceedings of the Conference on Robot Learning, 2022

Improving Meta-Learning Generalization with Activation-Based Early-Stopping.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Overcoming challenges in leveraging GANs for few-shot data augmentation.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Learned Image Compression for Machine Perception.
CoRR, 2021

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
CoRR, 2021

Learning Multi-Objective Curricula for Deep Reinforcement Learning.
CoRR, 2021

Simple Video Generation using Neural ODEs.
CoRR, 2021

Beyond Target Networks: Improving Deep Q-learning with Functional Regularization.
CoRR, 2021

Latent Variable Nested Set Transformers & AutoBots.
CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.
CoRR, 2021

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

DuoRAT: Towards Simpler Text-to-SQL Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021


Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data.
Proceedings of the 9th International Conference on Learning Representations, 2021

Reinforcement Learning with Random Delays.
Proceedings of the 9th International Conference on Learning Representations, 2021


Structural Inductive Biases in Emergent Communication.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Robust motion in-betweening.
ACM Trans. Graph., 2020

A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation.
ACM Trans. Knowl. Discov. Data, 2020

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.
CoRR, 2020

Learning to Summarize Long Texts with Memory Compression and Transfer.
CoRR, 2020

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track.
CoRR, 2020

Role-Wise Data Augmentation for Knowledge Distillation.
CoRR, 2020

On the impressive performance of randomly weighted encoders in summarization tasks.
CoRR, 2020

Curriculum in Gradient-Based Meta-Reinforcement Learning.
CoRR, 2020

Exploring Structural Inductive Biases in Emergent Communication.
CoRR, 2020

Leveraging cluster backbones for improving MAP inference in statistical relational models.
Ann. Math. Artif. Intell., 2020

Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Measuring Systematic Generalization in Neural Proof Generation with Transformers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Reinforced active learning for image segmentation.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms.
Proceedings of the 8th International Conference on Learning Representations, 2020

Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents.
Proceedings of the 8th International Conference on Learning Representations, 2020

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CLAREL: Classification via retrieval loss for zero-shot learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Action-based Representation Learning for Autonomous Driving.
Proceedings of the 4th Conference on Robot Learning, 2020

Interactive Machine Comprehension with Information Seeking Agents.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Neural Causal Models from Unknown Interventions.
CoRR, 2019

Learning Sparse Mixture of Experts for Visual Question Answering.
CoRR, 2019

Promoting Coordination through Policy Regularization in Multi-Agent Reinforcement Learning.
CoRR, 2019

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.
CoRR, 2019

Towards Understanding Generalization in Gradient-Based Meta-Learning.
CoRR, 2019

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments.
CoRR, 2019

Fine-grained zero-shot recognition with metric rescaling.
CoRR, 2019

Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.
CoRR, 2019

Towards Standardization of Data Licenses: The Montreal Data License.
CoRR, 2019

Visual Imitation Learning with Recurrent Siamese Networks.
CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks.
CoRR, 2019

Real-Time Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Multisensory Scene Inference.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Adversarial Mixup Resynthesis.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Probabilistic Planning with Sequential Monte Carlo methods.
Proceedings of the 7th International Conference on Learning Representations, 2019

Adversarial Mixup Resynthesizers.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Interactive Language Learning by Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Structure Learning for Neural Module Networks.
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, 2019

Dataflow-Based Joint Quantization for Deep Neural Networks.
Proceedings of the Data Compression Conference, 2019

Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Active Domain Randomization.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

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

A Survey of Mobile Computing for the Visually Impaired.
CoRR, 2018

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

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

Convolutional networks for kidney segmentation in contrast-enhanced CT scans.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Recurrent transition networks for character locomotion.
Proceedings of the SIGGRAPH Asia 2018 Technical Briefs, Tokyo, Japan, December 04-07, 2018, 2018

Towards Text Generation with Adversarially Learned Neural Outlines.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Unsupervised Depth Estimation, 3D Face Rotation and Replacement.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Deep Conversational Recommendations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Deep Complex Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Twin Networks: Matching the Future for Sequence Generation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Improving Landmark Localization With Semi-Supervised Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Improving probabilistic inference in graphical models with determinism and cycles.
Mach. Learn., 2017

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

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.
Medical Biol. Eng. Comput., 2017

Movie Description.
Int. J. Comput. Vis., 2017

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

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

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

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

Deep Complex Networks.
CoRR, 2017

Self-organized Hierarchical Softmax.
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

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.
Proceedings of the 5th International Conference on Learning Representations, 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 Vis. Comput., 2016

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

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

Delving Deeper into Convolutional Networks for Learning Video Representations.
Proceedings of the 4th International Conference on Learning Representations, 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 Recognit., 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

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

Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2012
On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference.
Int. J. Comput. Vis., 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 <i>in situ</i> gene expression in the mouse brain with image registration, feature extraction and block clustering.
BMC Bioinform., 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.
Australas. J. Inf. Syst., 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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