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02/20/2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Recent large-scale generative models learned on big data are capable of ...
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09/23/2022
Grouped Adaptive Loss Weighting for Person Search
Person search is an integrated task of multiple sub-tasks such as foregr...
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07/16/2022
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net
Monitoring vegetation productivity at extremely fine resolutions is valu...
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11/16/2021
Keypoint Message Passing for Video-based Person Re-Identification
Video-based person re-identification (re-ID) is an important technique i...
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08/21/2021
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning
Crystal-structure phase mapping is a core, long-standing challenge in ma...
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11/12/2020
PoseTrackReID: Dataset Description
Current datasets for video-based person re-identification (re-ID) do not...
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10/30/2020
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
A key problem in computational sustainability is to understand the distr...
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10/10/2020
Block-term Tensor Neural Networks
Deep neural networks (DNNs) have achieved outstanding performance in a w...
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10/09/2020
A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions
Non-Volatile Main Memories (NVMMs) have recently emerged as promising te...
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07/28/2019
Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization
This paper studies automated categorization of age-related macular degen...
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06/03/2019
Deep Reasoning Networks: Thinking Fast and Slow
We introduce Deep Reasoning Networks (DRNets), an end-to-end framework t...
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02/25/2019
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant
In this work, we consider applying machine learning to the analysis and ...
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02/09/2019
Replication Can Improve Prior Results: A GitHub Study of Pull Request Acceptance
Crowdsourcing and data mining can be used to effectively reduce the effo...
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02/05/2019
How to "DODGE" Complex Software Analytics?
AI software is still software. Software engineers need better tools to m...
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11/01/2018
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
Citizen science projects are successful at gathering rich datasets for v...
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07/21/2018
Person Search via A Mask-Guided Two-Stream CNN Model
In this work, we tackle the problem of person search, which is a challen...
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03/25/2018
Minmax Centered k-Partitioning of Trees and Applications to Sink Evacuation with Dynamic Confluent Flows
Let T=(V,E) be a tree with associated costs on its subtrees. A minmax k-...
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03/22/2018
End-to-End Learning for the Deep Multivariate Probit Model
The multivariate probit model (MVP) is a popular classic model for study...
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03/13/2018
Applications of Psychological Science for Actionable Analytics
Actionable analytics are those that humans can understand, and operation...
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03/13/2018
Building Better Quality Predictors Using "ε-Dominance"
Despite extensive research, many methods in software quality prediction ...
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03/11/2018
Multi-Reference Video Coding Using Stillness Detection
Encoders of AOM/AV1 codec consider an input video sequence as succession...
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02/08/2018
Texture Segmentation Based Video Compression Using Convolutional Neural Networks
There has been a growing interest in using different approaches to impro...
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12/15/2017
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition
Recently, deep neural networks (DNNs) have been regarded as the state-of...
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12/14/2017
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Recurrent Neural Networks (RNNs) are powerful sequence modeling tools. H...
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09/17/2017
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder
Multi-Entity Dependence Learning (MEDL) explores conditional correlation...
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09/28/2016
