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GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Gait is a unique biometric feature that can be recognized at a distance;...
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Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Convolutional networks (ConvNets) have achieved promising accuracy for v...
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OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray
Patient's understanding on forthcoming dental surgeries is required by p...
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Exploring Instance-Level Uncertainty for Medical Detection
The ability of deep learning to predict with uncertainty is recognized a...
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Physical Implementability of Quantum Maps and Its Application in Error Mitigation
Completely positive and trace-preserving maps characterize physically im...
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An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control
This work proposes an end-to-end differentiable physics engine for tense...
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Spring-Rod System Identification via Differentiable Physics Engine
We propose a novel differentiable physics engine for system identificati...
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Accurate Anchor Free Tracking
Visual object tracking is an important application of computer vision. R...
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A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines
We propose a novel differentiable physics engine for system identificati...
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A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks
The evaluation of constitutive models, especially for high-risk and high...
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Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network
With the popularity and development of the wearable devices such as smar...
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Oral-3D: Reconstructing the 3D Bone Structure of Oral Cavity from 2D Panoramic X-ray
Panoramic X-ray and Cone Beam Computed Tomography (CBCT) are two of the ...
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Adapting Object Detectors with Conditional Domain Normalization
Real-world object detectors are often challenged by the domain gaps betw...
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T-Net: A Template-Supervised Network for Task-specific Feature Extraction in Biomedical Image Analysis
Existing deep learning methods depend on an encoder-decoder structure to...
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OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
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OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
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Effective scaling of blockchain beyond consensus innovations and Moore's law
As an emerging technology, blockchain has achieved great success in nume...
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Permutation Enhances Classical Communication Assisted by Entangled States
We give a capacity formula for the classical communication over a noisy ...
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Quantifying the unextendibility of entanglement
The unextendibility or monogamy of entangled states is a key property of...
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CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion
Label propagation is a popular technique for anatomical segmentation. In...
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Reconstruction-Aware Imaging System Ranking by use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference
It is widely accepted that optimization of imaging system performance sh...
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Time-sync Video Tag Extraction Using Semantic Association Graph
Time-sync comments reveal a new way of extracting the online video tags....
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Code-Switching for Enhancing NMT with Pre-Specified Translation
Leveraging user-provided translation to constrain NMT has practical sign...
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Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors
Unlike images or videos data which can be easily labeled by human being,...
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A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation
We introduce a multi-agent meta-modeling game to generate data, knowledg...
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Neural network state estimation for full quantum state tomography
An efficient state estimation model, neural network estimation (NNE), em...
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Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning
This paper presents a new meta-modeling framework to employ deep reinfor...
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Robust Receiver Design for Non-orthogonal Multiple Access
Non-orthogonal multiple access (NOMA) has been proposed for massive conn...
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Joint Receiver Design for Internet of Things
Internet of things (IoT) is an ever-growing network of objects that conn...
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Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning
The dynamical properties of tensegrity robots give them appealing rugged...
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Unified Receiver Design in Wireless Relay Networks Using Mixed-Integer Programming Techniques
Wireless receiver design is critical to the overall system performance. ...
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Semidefinite Relaxation Based Blind Equalization using Constant Modulus Criterion
Blind equalization is a classic yet open problem. Statistic-based algori...
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Non-iterative Joint Detection-Decoding Receiver for LDPC-Coded MIMO Systems Based on SDR
Semi-definite relaxation (SDR) detector has been demonstrated to be succ...
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Ricean K-factor Estimation based on Channel Quality Indicator in OFDM Systems using Neural Network
Ricean channel model is widely used in wireless communications to charac...
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Integrated Semi-definite Relaxation Receiver for LDPC-Coded MIMO Systems
Semi-definite relaxation (SDR) detector has been demonstrated to be succ...
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Expressway visibility estimation based on image entropy and piecewise stationary time series analysis
Vision-based methods for visibility estimation can play a critical role ...
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Joint Turbo Receiver for LDPC-Coded MIMO Systems Based on Semi-definite Relaxation
Semi-definite relaxation (SDR) has been shown to have the capability of ...
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Phase Noise Compensation with Limited Reference Symbols
Phase noise (PN) can cause severe link performance degradation in orthog...
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Scene Graph Generation from Objects, Phrases and Region Captions
Object detection, scene graph generation and region captioning, which ar...
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Crafting GBD-Net for Object Detection
The visual cues from multiple support regions of different sizes and res...
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