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Article
SMigraPH: a perceptually retained method for passive haptics-based migration of MR indoor scenes
To enhance users’ immersion in the mixed reality (MR) cross-scene environment, it is imperative to make geometric modifications to arbitrary multi-scale virtual scenes, including adjustments to layout and size...
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Article
Real-scene-constrained virtual scene layout synthesis for mixed reality
Given a real source scene and a virtual target scene, the real-scene-constrained virtual scene layout synthesis problem is defined as how to re-synthesize the layout of the virtual furniture in the virtual sce...
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Article
Multiple classifier for concatenate-designed neural network
This article introduces a multiple classifier method to improve the performance of concatenate-designed neural networks, such as ResNet and DenseNet, with the purpose of alleviating the pressure on the final c...
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Chapter and Conference Paper
Robust Pedestrian Detection: Faster Deployments with Fusion of Models
Pedestrian detection has a wide range of real-world critical applications including security and management of emergency scenarios. In critical applications, detection recall and precision are both essential ...
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Chapter and Conference Paper
CARU: A Content-Adaptive Recurrent Unit for the Transition of Hidden State in NLP
This article introduces a novel RNN unit inspired by GRU, namely the Content-Adaptive Recurrent Unit (CARU). The design of CARU contains all the features of GRU but requires fewer training parameters. We make ...
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Chapter and Conference Paper
Variable-Depth Convolutional Neural Network for Text Classification
This article introduces a recurrent CNN based framework for the classification of arbitrary length text in natural sentence. In our model, we present a complete CNN design with recurrent structure to capture t...
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Chapter and Conference Paper
Fast Grid-Based Fluid Dynamics Simulation with Conservation of Momentum and Kinetic Energy on GPU
Since the computation of fluid animation is often too heavy to run in real-time simulation, we propose a fast grid-based method with parallel acceleration. In order to reduce the cost of computation kee** a ...
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Article
Improved rate-distortion optimized video coding using non-integer bit estimation and multiple Lambda search
Many modern video encoders use the Lagrangian rate-distortion optimization (RDO) algorithm for mode decisions during the compression procedure. For each encoding stage, this approach involves minimizing a cost...