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Photoacoustic Image Reconstruction Beyond Supervised to Compensate Limit-view and Remove Artifacts
Photoacoustic computed tomography (PACT) reconstructs the initial pressu...
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Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Learning depth and ego-motion from unlabeled videos via self-supervision...
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Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation
In searching for a generalizable representation of temporally extended t...
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Conceptualized Representation Learning for Chinese Biomedical Text Mining
Biomedical text mining is becoming increasingly important as the number ...
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Deep learning for photoacoustic imaging: a survey
Machine learning has been developed dramatically and witnessed a lot of ...
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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Recent progress in deep learning is essentially based on a "big data for...
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Short Text Classification via Knowledge powered Attention with Similarity Matrix based CNN
Short text is becoming more and more popular on the web, such as Chat Me...
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A Generative Adversarial Network for AI-Aided Chair Design
We present a method for improving human design of chairs. The goal of th...
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Learning Perceptual Inference by Contrasting
"Thinking in pictures," [1] i.e., spatial-temporal reasoning, effortless...
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Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
The scattering transform is a multilayered wavelet-based deep learning a...
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Spatiotemporal Attention Networks for Wind Power Forecasting
Wind power is one of the most important renewable energy sources and acc...
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Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds
The Euclidean scattering transform was introduced nearly a decade ago to...
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VRGym: A Virtual Testbed for Physical and Interactive AI
We propose VRGym, a virtual reality testbed for realistic human-robot in...
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RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Dramatic progress has been witnessed in basic vision tasks involving low...
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Research on the Security of Blockchain Data: A Survey
With the more and more extensive application of blockchain, blockchain s...
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Graph Classification with Geometric Scattering
One of the most notable contributions of deep learning is the applicatio...
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Improving Object Detection with Region Similarity Learning
Object detection aims to identify instances of semantic objects of a cer...
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Incorporating Intra-Class Variance to Fine-Grained Visual Recognition
Fine-grained visual recognition aims to capture discriminative character...
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