b'Lei Zhang'

Modeling and Computation of Liquid Crystals

Liquid crystal is a typical kind of soft matter that is intermediate bet...
04/06/2021 ∙ by Wei Wang, et al. ∙ 0 ∙ share

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CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning

This work concerns video-language pre-training and representation learni...
04/01/2021 ∙ by Luowei Zhou, et al. ∙ 0 ∙ share

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DAP: Detection-Aware Pre-training with Weak Supervision

This paper presents a detection-aware pre-training (DAP) approach, which...
03/30/2021 ∙ by Yuanyi Zhong, et al. ∙ 0 ∙ share

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Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction

This paper focuses on the task of 4D shape reconstruction from a sequenc...
03/30/2021 ∙ by Jiapeng Tang, et al. ∙ 11 ∙ share

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CvT: Introducing Convolutions to Vision Transformers

We present in this paper a new architecture, named Convolutional vision ...
03/29/2021 ∙ by Haiping Wu, et al. ∙ 30 ∙ share

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Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

This paper presents a new Vision Transformer (ViT) architecture Multi-Sc...
03/29/2021 ∙ by Pengchuan Zhang, et al. ∙ 9 ∙ share

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HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset

High dynamic range (HDR) video reconstruction from sequences captured wi...
03/27/2021 ∙ by Guanying Chen, et al. ∙ 0 ∙ share

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Dynamic Weighted Learning for Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) aims to improve the classification ...
03/22/2021 ∙ by Ni Xiao, et al. ∙ 0 ∙ share

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On Testing and Debugging Quantum Software

Quantum computers are becoming more mainstream. As more programmers are ...
03/16/2021 ∙ by Andriy Miranskyy, et al. ∙ 0 ∙ share

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Pluggable Weakly-Supervised Cross-View Learning for Accurate Vehicle Re-Identification

Learning cross-view consistent feature representation is the key for acc...
03/09/2021 ∙ by Lu Yang, et al. ∙ 0 ∙ share

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Training a First-Order Theorem Prover from Synthetic Data

A major challenge in applying machine learning to automated theorem prov...
03/05/2021 ∙ by Vlad Firoiu, et al. ∙ 0 ∙ share

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Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Semi-supervised learning has attracted great attention in the field of m...
03/04/2021 ∙ by Yicheng Wu, et al. ∙ 0 ∙ share

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Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients

In this paper, we demonstrate the construction of generalized Rough Poly...
03/02/2021 ∙ by Xinliang Liu, et al. ∙ 0 ∙ share

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Model-Agnostic Explainability for Visual Search

What makes two images similar? We propose new approaches to generate mod...
02/28/2021 ∙ by Mark Hamilton, et al. ∙ 31 ∙ share

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Dual MINE-based Neural Secure Communications under Gaussian Wiretap Channel

Recently, some researches are devoted to the topic of end-to-end learnin...
02/25/2021 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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Constructing Evacuation Evolution Patterns and Decisions Using Mobile Device Location Data: A Case Study of Hurricane Irma

Understanding individuals' behavior during hurricane evacuation is of pa...
02/24/2021 ∙ by Aref Darzi, et al. ∙ 5 ∙ share

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BE-RAN: Blockchain-enabled Open RAN with Decentralized Identity Management and Privacy-Preserving Communication

Radio Access Networks (RAN) tends to be more distributed in the 5G new r...
01/26/2021 ∙ by Hao Xu, et al. ∙ 0 ∙ share

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Registration-based model reduction in complex two-dimensional geometries

We present a general – i.e., independent of the underlying equation – re...
01/25/2021 ∙ by Tommaso Taddei, et al. ∙ 0 ∙ share

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Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images

Denoising and demosaicking are essential yet correlated steps to reconst...
01/25/2021 ∙ by Shi Guo, et al. ∙ 5 ∙ share

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How Much Communication Resource is Needed to Run a Wireless Blockchain Network?

Blockchain is built on a peer-to-peer network that relies on frequent co...
01/24/2021 ∙ by Lei Zhang, et al. ∙ 0 ∙ share

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Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization

Snapshot hyperspectral imaging can capture the 3D hyperspectral image (H...
01/22/2021 ∙ by Niankai Cheng, et al. ∙ 20 ∙ share

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Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets

Alignment methods which can handle partially overlapping point sets and ...
01/19/2021 ∙ by Wei Lian, et al. ∙ 0 ∙ share

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SEED: Self-supervised Distillation For Visual Representation

This paper is concerned with self-supervised learning for small models. ...
01/12/2021 ∙ by Zhiyuan Fang, et al. ∙ 3 ∙ share

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Unsupervised Domain Adaptation of Black-Box Source Models

Unsupervised domain adaptation (UDA) aims to learn a model for unlabeled...
01/08/2021 ∙ by Haojian Zhang, et al. ∙ 0 ∙ share

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Iterated numerical homogenization for multi-scale elliptic equations with monotone nonlinearity

Nonlinear multi-scale problems are ubiquitous in materials science and b...
01/04/2021 ∙ by Xinliang Liu, et al. ∙ 0 ∙ share

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VinVL: Making Visual Representations Matter in Vision-Language Models

This paper presents a detailed study of improving visual representations...
01/02/2021 ∙ by Pengchuan Zhang, et al. ∙ 10 ∙ share

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Self-supervised Pre-training with Hard Examples Improves Visual Representations

Self-supervised pre-training (SSP) employs random image transformations ...
12/25/2020 ∙ by Chunyuan Li, et al. ∙ 0 ∙ share

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MiniVLM: A Smaller and Faster Vision-Language Model

Recent vision-language (VL) studies have shown remarkable progress by le...
12/13/2020 ∙ by Jianfeng Wang, et al. ∙ 1 ∙ share

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Are Fewer Labels Possible for Few-shot Learning?

Few-shot learning is challenging due to its very limited data and labels...
12/10/2020 ∙ by Suichan Li, et al. ∙ 12 ∙ share

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A Data-Driven Analytical Framework of Estimating Multimodal Travel Demand Patterns using Mobile Device Location Data

While benefiting people's daily life in so many ways, smartphones and th...
12/08/2020 ∙ by Chenfeng Xiong, et al. ∙ 10 ∙ share

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TAP: Text-Aware Pre-training for Text-VQA and Text-Caption

In this paper, we propose Text-Aware Pre-training (TAP) for Text-VQA and...
12/08/2020 ∙ by Zhengyuan Yang, et al. ∙ 0 ∙ share

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Unsupervised Pre-training for Person Re-identification

In this paper, we present a large scale unlabeled person re-identificati...
12/07/2020 ∙ by Dengpan Fu, et al. ∙ 5 ∙ share

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Unsupervised Alternating Optimization for Blind Hyperspectral Imagery Super-resolution

Despite the great success of deep model on Hyperspectral imagery (HSI) s...
12/03/2020 ∙ by Jiangtao Nie, et al. ∙ 0 ∙ share

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Meta-Generating Deep Attentive Metric for Few-shot Classification

Learning to generate a task-aware base learner proves a promising direct...
12/03/2020 ∙ by Lei Zhang, et al. ∙ 0 ∙ share

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Constrained high-index saddle dynamics for the solution landscape with equality constraints

We propose a constrained high-index saddle dynamics (CHiSD) to search in...
11/26/2020 ∙ by Zhen Huang, et al. ∙ 0 ∙ share

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MicroNet: Towards Image Recognition with Extremely Low FLOPs

In this paper, we present MicroNet, which is an efficient convolutional ...
11/24/2020 ∙ by Yunsheng Li, et al. ∙ 5 ∙ share

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DR-Unet104 for Multimodal MRI brain tumor segmentation

In this paper we propose a 2D deep residual Unet with 104 convolutional ...
11/04/2020 ∙ by Jordan Colman, et al. ∙ 0 ∙ share

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A discretize-then-map approach for the treatment of parameterized geometries in model order reduction

We propose a new general approach for the treatment of parameterized geo...
10/26/2020 ∙ by Tommaso Taddei, et al. ∙ 0 ∙ share

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Anomaly Detection in a Large-scale Cloud Platform

Cloud computing is ubiquitous: more and more companies are moving the wo...
10/21/2020 ∙ by Mohammad Saiful Islam, et al. ∙ 0 ∙ share

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Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

Recent years have witnessed the increasing popularity of learning based ...
09/30/2020 ∙ by Hui Zeng, et al. ∙ 28 ∙ share

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DUMP: A Dummy-Point-Based Framework for Histogram Estimation in Shuffle Model

In Central Differential Privacy (CDP), there is a trusted analyst who co...
09/29/2020 ∙ by Xiaochen Li, et al. ∙ 0 ∙ share

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VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training

It is highly desirable yet challenging to generate image captions that c...
09/28/2020 ∙ by Xiaowei Hu, et al. ∙ 1 ∙ share

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Multi-scale Receptive Fields Graph Attention Network for Point Cloud Classification

Understanding the implication of point cloud is still challenging to ach...
09/28/2020 ∙ by Xi'an Li, et al. ∙ 6 ∙ share

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Progressive Semantic-Aware Style Transformation for Blind Face Restoration

Face restoration is important in face image processing, and has been wid...
09/18/2020 ∙ by Chaofeng Chen, et al. ∙ 5 ∙ share

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A numerical approach for hybrid reliability analysis of structures under mixed uncertainties using the uncertainty theory

This paper presents a novel numerical method for the hybrid reliability ...
09/17/2020 ∙ by Lei Zhang, et al. ∙ 0 ∙ share

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Large-Scale Intelligent Microservices

Deploying Machine Learning (ML) algorithms within databases is a challen...
09/17/2020 ∙ by Mark Hamilton, et al. ∙ 14 ∙ share

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Immutable Log Storage as a Service on Private and Public Blockchains

During the normal operation of a Cloud solution, no one pays attention t...
09/16/2020 ∙ by William Pourmajidi, et al. ∙ 0 ∙ share

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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

This paper reviews the AIM 2020 challenge on efficient single image supe...
09/15/2020 ∙ by Kai Zhang, et al. ∙ 6 ∙ share

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Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing

The outbreak of viruses have necessitated contact tracing and infection ...
09/10/2020 ∙ by William J Buchanan, et al. ∙ 0 ∙ share

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Tasks Integrated Networks: Joint Detection and Retrieval for Image Search

The traditional object retrieval task aims to learn a discriminative fea...
09/03/2020 ∙ by Lei Zhang, et al. ∙ 7 ∙ share

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Lei Zhang

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