
Multiple Object Tracking with Correlation Learning
Recent works have shown that convolutional networks have substantially i...
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Energyaware Task Scheduling with Deadline Constraint in DVFSenabled Heterogeneous Clusters
Energy conservation of large data centers for highperformance computing...
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A hybrid controller for safe and efficient collision avoidance control
We design and experimentally evaluate a hybrid safebyconstruction coll...
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Accurate VisualInertial SLAM by Feature Reidentification
We propose a novel feature reidentification method for realtime visual...
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Fashion Focus: Multimodal Retrieval System for Video Commodity Localization in Ecommerce
Nowadays, livestream and short video shopping in Ecommerce have grown ...
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AntiUAV: A Large MultiModal Benchmark for UAV Tracking
Unmanned Aerial Vehicle (UAV) offers lots of applications in both commer...
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LayerWise MultiView Learning for Neural Machine Translation
Traditional neural machine translation is limited to the topmost encoder...
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Training Flexible Depth Model by MultiTask Learning for Neural Machine Translation
The standard neural machine translation model can only decode with the s...
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Automatic label correction based on CCESD
In the computeraided diagnosis of cervical precancerous lesions, it is ...
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Safe and efficient collision avoidance control for autonomous vehicles
We study a novel principle for safe and efficient collision avoidance th...
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Efficient SparseDense MatrixMatrix Multiplication on GPUs Using the Customized Sparse Storage Format
Multiplication of a sparse matrix to a dense matrix (SpDM) is widely use...
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Rethinking Performance Estimation in Neural Architecture Search
Neural architecture search (NAS) remains a challenging problem, which is...
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A general method for finding the compositional inverses of permutations from the AGW criterion
Permutation polynomials and their compositional inverses have wide appli...
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DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks
Convolution operator is the core of convolutional neural networks (CNNs)...
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A Graph Joining Greedy Approach to Binary de Bruijn Sequences
Using greedy algorithms to generate de Bruijn sequences is a classical a...
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Data Poisoning Attacks on Federated Machine Learning
Federated machine learning which enables resource constrained node devic...
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FADNet: A Fast and Accurate Network for Disparity Estimation
Deep neural networks (DNNs) have achieved great success in the area of c...
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An Efficiently Generated Family of Binary de Bruijn Sequences
We study how to generate binary de Bruijn sequences efficiently from the...
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Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs
Distributed Deep Learning (DDL) has rapidly grown its popularity since i...
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Multilayer Representation Fusion for Neural Machine Translation
Neural machine translation systems require a number of stacked layers fo...
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Neural Machine Translation with Joint Representation
Though early successes of Statistical Machine Translation (SMT) systems ...
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Forceguided Highprecision Grasping Control of Fragile and Deformable Objects using sEMGbased Force Prediction
Regulating contact forces with high precision is crucial for grasping an...
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BETANAS: BalancEd TrAining and selective drop for Neural Architecture Search
Automatic neural architecture search techniques are becoming increasingl...
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Adversarial AutoAugment
Data augmentation (DA) has been widely utilized to improve generalizatio...
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IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation
Indoor robotics localization, navigation and interaction heavily rely on...
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Layerwise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
To reduce the long training time of large deep neural network (DNN) mode...
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General Criteria for Successor Rules to Efficiently Generate Binary de Bruijn Sequences
We put forward new general criteria to design successor rules that gener...
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Anchor Diffusion for Unsupervised Video Object Segmentation
Unsupervised video object segmentation has often been tackled by methods...
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Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models
Deep neural networks (DNNs) have become widely used in many AI applicati...
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Learning Deep Transformer Models for Machine Translation
Transformer is the stateoftheart model in recent machine translation ...
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The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study
Over the past years, great progress has been made in improving the compu...
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On the stability of periodic binary sequences with zone restriction
Traditional global stability measure for sequences is hard to determine ...
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A Distributed Synchronous SGD Algorithm with Global Topk Sparsification for Low Bandwidth Networks
Distributed synchronous stochastic gradient descent (SSGD) with data pa...
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Vector and Line Quantization for Billionscale Similarity Search on GPUs
Billionscale highdimensional approximate nearest neighbour (ANN) searc...
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SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Siamese network based trackers formulate tracking as convolutional featu...
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Fast Online Object Tracking and Segmentation: A Unifying Approach
In this paper we illustrate how to perform both visual object tracking a...
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Distractoraware Siamese Networks for Visual Object Tracking
Recently, Siamese networks have drawn great attention in visual tracking...
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Permutation polynomials and complete permutation polynomials over F_q^3
Motivated by many recent constructions of permutation polynomials over F...
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Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs
With huge amounts of training data, deep learning has made great breakth...
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A Hybrid Recommendation Method Based on Feature for Offline Book Personalization
Recommendation system has been widely used in different areas. Collabora...
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A Recursive Construction of Permutation Polynomials over F_q^2 with Odd Characteristic from Rédei Functions
In this paper, we construct two classes of permutation polynomials over ...
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GPGPU Performance Estimation with Core and Memory Frequency Scaling
Graphics Processing Units (GPUs) support dynamic voltage and frequency s...
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Qiang Wang
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