b'Fan Zhang'

Perceptually-inspired super-resolution of compressed videos

Spatial resolution adaptation is a technique which has often been employ...
06/15/2021 ∙ by Di Ma, et al. ∙ 16 ∙ share

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On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation

In the recent advances of natural language processing, the scale of the ...
06/09/2021 ∙ by Wei Zhang, et al. ∙ 0 ∙ share

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A Deep Value-network Based Approach for Multi-Driver Order Dispatching

Recent works on ride-sharing order dispatching have highlighted the impo...
06/08/2021 ∙ by Xiaocheng Tang, et al. ∙ 0 ∙ share

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Deception Detection in Videos using the Facial Action Coding System

Facts are important in decision making in every situation, which is why ...
05/28/2021 ∙ by Hammad Ud Din Ahmed, et al. ∙ 0 ∙ share

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Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms

Large ride-hailing platforms, such as DiDi, Uber and Lyft, connect tens ...
05/18/2021 ∙ by Xiaocheng Tang, et al. ∙ 0 ∙ share

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Transmit Correlation Diversity: Generalization, New Techniques, and Improved Bounds

When the users in a MIMO broadcast channel experience different spatial ...
04/20/2021 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection

Despite significant progress in neural abstractive summarization, recent...
04/19/2021 ∙ by Sihao Chen, et al. ∙ 0 ∙ share

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Individually Fair Gradient Boosting

We consider the task of enforcing individual fairness in gradient boosti...
03/31/2021 ∙ by Alexander Vargo, et al. ∙ 0 ∙ share

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Robustifying Conditional Portfolio Decisions via Optimal Transport

We propose a data-driven portfolio selection model that integrates side ...
03/30/2021 ∙ by Viet Anh Nguyen, et al. ∙ 8 ∙ share

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Enhancing VMAF through New Feature Integration and Model Combination

VMAF is a machine learning based video quality assessment method, origin...
03/10/2021 ∙ by Fan Zhang, et al. ∙ 4 ∙ share

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Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning

We present a new practical framework based on deep reinforcement learnin...
03/08/2021 ∙ by Yan Jiao, et al. ∙ 0 ∙ share

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Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases

The rapid development of remote sensing techniques provides rich, large-...
03/03/2021 ∙ by Xiao Huang, et al. ∙ 20 ∙ share

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On the numerical overshoots of shock-capturing schemes

This note introduces a simple metric for benchmarking shock-capturing sc...
02/19/2021 ∙ by Huaibao Zhang, et al. ∙ 0 ∙ share

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Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation

In Speech Emotion Recognition (SER), emotional characteristics often app...
02/03/2021 ∙ by Mingke Xu, et al. ∙ 9 ∙ share

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Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

Deep convolutional neural network (DCNN) models have been widely explore...
02/02/2021 ∙ by Peng Yao, et al. ∙ 12 ∙ share

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Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification

Although deep convolutional neural networks (DCNNs) have achieved signif...
01/07/2021 ∙ by Shuwei Shen, et al. ∙ 14 ∙ share

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CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement

We propose a new Generative Adversarial Network for Compressed Video qua...
11/18/2020 ∙ by Di Ma, et al. ∙ 0 ∙ share

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Towards Understanding and Demystifying Bitcoin Mixing Services

The popularity of Bitcoin benefits a lot from its anonymity. However, th...
10/30/2020 ∙ by Lei Wu, et al. ∙ 0 ∙ share

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Distributionally Robust Local Non-parametric Conditional Estimation

Conditional estimation given specific covariate values (i.e., local cond...
10/12/2020 ∙ by Viet Anh Nguyen, et al. ∙ 4 ∙ share

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A simulation environment for drone cinematography

In this paper, we present a workflow for the simulation of drone operati...
10/03/2020 ∙ by Fan Zhang, et al. ∙ 1 ∙ share

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Video Compression with CNN-based Post Processing

In recent years, video compression techniques have been significantly ch...
09/16/2020 ∙ by Fan Zhang, et al. ∙ 15 ∙ share

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Video compression with low complexity CNN-based spatial resolution adaptation

It has recently been demonstrated that spatial resolution adaptation can...
07/29/2020 ∙ by Di Ma, et al. ∙ 21 ∙ share

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MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering

In this paper, we propose a novel convolutional neural network (CNN) arc...
07/14/2020 ∙ by Di Ma, et al. ∙ 4 ∙ share

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MediaPipe Hands: On-device Real-time Hand Tracking

We present a real-time on-device hand tracking pipeline that predicts ha...
06/18/2020 ∙ by Fan Zhang, et al. ∙ 7 ∙ share

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BlazePose: On-device Real-time Body Pose tracking

We present BlazePose, a lightweight convolutional neural network archite...
06/17/2020 ∙ by Valentin Bazarevsky, et al. ∙ 1 ∙ share

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MultiResolution Attention Extractor for Small Object Detection

Small objects are difficult to detect because of their low resolution an...
06/10/2020 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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Distributional Robust Batch Contextual Bandits

Policy learning using historical observational data is an important prob...
06/10/2020 ∙ by Nian Si, et al. ∙ 17 ∙ share

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The global information for land cover classification by dual-branch deep learning

Land cover classification has played an important role in remote sensing...
05/30/2020 ∙ by Fan Zhang, et al. ∙ 2 ∙ share

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Active Fuzzing for Testing and Securing Cyber-Physical Systems

Cyber-physical systems (CPSs) in critical infrastructure face a pervasiv...
05/28/2020 ∙ by Yuqi Chen, et al. ∙ 0 ∙ share

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FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects

Tractography from high-dimensional diffusion magnetic resonance imaging ...
05/16/2020 ∙ by Loraine Franke, et al. ∙ 3 ∙ share

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Defending Model Inversion and Membership Inference Attacks via Prediction Purification

Neural networks are susceptible to data inference attacks such as the mo...
05/08/2020 ∙ by Ziqi Yang, et al. ∙ 0 ∙ share

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Encoding in the Dark Grand Challenge: An Overview

A big part of the video content we consume from video providers consists...
05/07/2020 ∙ by Nantheera Anantrasirichai, et al. ∙ 1 ∙ share

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Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting

Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
05/05/2020 ∙ by Dongnan Liu, et al. ∙ 19 ∙ share

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TRAKO: Efficient Transmission of Tractography Data for Visualization

Fiber tracking produces large tractography datasets that are tens of gig...
04/26/2020 ∙ by Daniel Haehn, et al. ∙ 4 ∙ share

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BVI-DVC: A Training Database for Deep Video Compression

Deep learning methods are increasingly being applied in the optimisation...
03/30/2020 ∙ by Di Ma, et al. ∙ 2 ∙ share

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Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)

ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is one of the...
03/20/2020 ∙ by Fan Zhang, et al. ∙ 4 ∙ share

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MIMO Amplify-and-Forward Precoding for Networked Control Systems

In this paper, we consider a MIMO networked control system (NCS) in whic...
03/07/2020 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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Residual-Recursion Autoencoder for Shape Illustration Images

Shape illustration images (SIIs) are common and important in describing ...
02/06/2020 ∙ by Qianwei Zhou, et al. ∙ 8 ∙ share

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Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation

Most deep image smoothing operators are always trained repetitively when...
01/12/2020 ∙ by Lijun Zhao, et al. ∙ 7 ∙ share

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Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks

Traditional computing hardware often encounters on-chip memory bottlenec...
12/17/2019 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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Defects Mitigation in Resistive Crossbars for Analog Vector Matrix Multiplication

With storage and computation happening at the same place, computing in r...
12/17/2019 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making

This work proposes a pipeline to predict treatment response to intra-art...
12/01/2019 ∙ by Junlin Yang, et al. ∙ 0 ∙ share

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Inexact Primal-Dual Gradient Projection Methods for Nonlinear Optimization on Convex Set

In this paper, we propose a novel primal-dual inexact gradient projectio...
11/18/2019 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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ViSTRA2: Video Coding using Spatial Resolution and Effective Bit Depth Adaptation

We present a new video compression framework (ViSTRA2) which exploits ad...
11/07/2019 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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ACFNet: Attentional Class Feature Network for Semantic Segmentation

Recent works have made great progress in semantic segmentation by exploi...
09/20/2019 ∙ by Fan Zhang, et al. ∙ 42 ∙ share

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Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences

The threat of attack faced by cyber-physical systems (CPSs), especially ...
09/12/2019 ∙ by Yuqi Chen, et al. ∙ 0 ∙ share

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DECO: Liberating Web Data Using Decentralized Oracles for TLS

Thanks to the widespread deployment of TLS, users can access private dat...
09/03/2019 ∙ by Fan Zhang, et al. ∙ 0 ∙ share

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Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation

Domain Adaptation (DA) has the potential to greatly help the generalizat...
08/27/2019 ∙ by Junlin Yang, et al. ∙ 11 ∙ share

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Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking

In edge computing scenarios, the distribution of data and collaboration ...
08/06/2019 ∙ by Tianshu Hao, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

A deep learning model trained on some labeled data from a certain source...
07/31/2019 ∙ by Junlin Yang, et al. ∙ 2 ∙ share

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Fan Zhang

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