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Siamese Anchor Proposal Network for High-Speed Aerial Tracking
In the domain of visual tracking, most deep learning-based trackers high...
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Leaderless Byzantine Fault Tolerant Consensus
Byzantine fault tolerant (BFT) consensus has recently gained much attent...
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Fast-HotStuff: A Fast and Resilient HotStuff Protocol
The HotStuff protocol is a recent breakthrough inByzantine Fault Toleran...
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Neighborhood Matters: Influence Maximization in Social Networks with Limited Access
Influence maximization (IM) aims at maximizing the spread of influence b...
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Video Compression with CNN-based Post Processing
In recent years, video compression techniques have been significantly ch...
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Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization
Current unmanned aerial vehicle (UAV) visual tracking algorithms are pri...
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DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
Visual tracking has yielded promising applications with unmanned aerial ...
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The Hermes BFT for Blockchains
The performance of partially synchronous BFT-based consensus protocols i...
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P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
Towards 3D object tracking in point clouds, a novel point-to-box network...
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LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
Modern face alignment methods have become quite accurate at predicting t...
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SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
Spatial reasoning is an important component of human intelligence. We ca...
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A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder
Recently, the speaker clustering model based on aggregation hierarchy cl...
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3D Point Cloud Processing and Learning for Autonomous Driving
We present a review of 3D point cloud processing and learning for autono...
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Incentive Analysis of Bitcoin-NG, Revisited
Bitcoin-NG is among the first blockchain protocols to approach the near-...
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Analysis of Nakamoto Consensus, Revisited
In the Bitcoin white paper[1], Nakamoto proposed a very simple Byzantine...
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Optimizing the Transition Waste in Coded Elastic Computing
Distributed computing, in which a resource-intensive task is divided int...
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A Secure Consensus Protocol for Sidechains
Sidechain technology has been envisioned as a promising solution to acce...
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Compressive Hyperspherical Energy Minimization
Recent work on minimum hyperspherical energy (MHE) has demonstrated its ...
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Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling
0-1 knapsack is of fundamental importance in computer science, business,...
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Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
We propose a deep autoencoder with graph topology inference and filterin...
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Dynamic Prediction of Origin-Destination Flows Using Fusion Line Graph Convolutional Networks
Modern intelligent transportation systems provide data that allow real-t...
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Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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Real-time Soft Robot 3D Proprioception via Deep Vision-based Sensing
The soft robots are welcomed in many robotic applications because of the...
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Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution
The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual comp...
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Selfish Mining in Ethereum
As the second largest cryptocurrency by market capitalization and today'...
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Towards an Algebraic Network Information Theory: Simultaneous Joint Typicality Decoding
Consider a receiver in a multi-user network that wishes to decode severa...
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DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
We propose DeepMapping, a novel registration framework using deep neural...
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Decentralized Applications: The Blockchain-Empowered Software System
Blockchain technology has attracted tremendous attention in both academi...
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2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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Primitive Fitting Using Deep Boundary Aware Geometric Segmentation
To identify and fit geometric primitives (e.g., planes, spheres, cylinde...
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Simultaneous Edge Alignment and Learning
Edge detection is among the most fundamental vision problems for its rol...
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VLASE: Vehicle Localization by Aggregating Semantic Edges
In this paper, we propose VLASE, a framework to use semantic edge featur...
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A Quantization-Friendly Separable Convolution for MobileNets
As deep learning (DL) is being rapidly pushed to edge computing, researc...
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FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds
Recent deep networks that directly handle points in a point set, e.g., P...
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Neighbors Do Help: Deeply Exploiting Local Structures of Point Clouds
Unlike on images, semantic learning on 3D point clouds using a deep netw...
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Detecting and Grouping Identical Objects for Region Proposal and Classification
Often multiple instances of an object occur in the same scene, for examp...
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CASENet: Deep Category-Aware Semantic Edge Detection
Boundary and edge cues are highly beneficial in improving a wide variety...
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