b'Yu Liu'

Ergodic Numerical Approximation to Periodic Measures of Stochastic Differential Equations

In this paper, we consider numerical approximation to periodic measure o...
07/07/2021 ∙ by Chunrong Feng, et al. ∙ 0 ∙ share

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Curvature Graph Neural Network

Graph neural networks (GNNs) have achieved great success in many graph-b...
06/30/2021 ∙ by Haifeng Li, et al. ∙ 0 ∙ share

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A Novel Unified Stereo Stimuli based Binocular Eye-Tracking System for Accurate 3D Gaze Estimation

In addition to the high cost and complex setup, the main reason for the ...
04/25/2021 ∙ by Sunjing Lin, et al. ∙ 6 ∙ share

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Role-Aware Modeling for N-ary Relational Knowledge Bases

N-ary relational knowledge bases (KBs) represent knowledge with binary a...
04/20/2021 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval

Accurately matching visual and textual data in cross-modal retrieval has...
04/11/2021 ∙ by Wei Chen, et al. ∙ 0 ∙ share

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High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings

Recent knowledge graph embedding (KGE) models based on hyperbolic geomet...
03/27/2021 ∙ by Kai Wang, et al. ∙ 0 ∙ share

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Lifelong Person Re-Identification via Adaptive Knowledge Accumulation

Person ReID methods always learn through a stationary domain that is fix...
03/23/2021 ∙ by Nan Pu, et al. ∙ 0 ∙ share

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ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation

Interpreting human actions requires understanding the spatial and tempor...
02/26/2021 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Deep Image Retrieval: A Survey

In recent years a vast amount of visual content has been generated and s...
01/27/2021 ∙ by Wei Chen, et al. ∙ 12 ∙ share

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On the Exploration of Incremental Learning for Fine-grained Image Retrieval

In this paper, we consider the problem of fine-grained image retrieval i...
10/15/2020 ∙ by Wei Chen, et al. ∙ 0 ∙ share

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Multi-teacher Knowledge Distillation for Knowledge Graph Completion

Link prediction based on knowledge graph embedding (KGE) aims to predict...
10/14/2020 ∙ by Kai Wang, et al. ∙ 10 ∙ share

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Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms

Misinformation/disinformation about COVID-19 has been rampant on social ...
10/13/2020 ∙ by Golshan Madraki, et al. ∙ 0 ∙ share

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Commands 4 Autonomous Vehicles (C4AV) Workshop Summary

The task of visual grounding requires locating the most relevant region ...
09/18/2020 ∙ by Thierry Deruyttere, et al. ∙ 10 ∙ share

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Image Retrieval for Structure-from-Motion via Graph Convolutional Network

Conventional image retrieval techniques for Structure-from-Motion (SfM) ...
09/17/2020 ∙ by Shen Yan, et al. ∙ 0 ∙ share

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Discriminability Distillation in Group Representation Learning

Learning group representation is a commonly concerned issue in tasks whe...
08/25/2020 ∙ by Manyuan Zhang, et al. ∙ 0 ∙ share

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Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) is a challenging and...
08/06/2020 ∙ by Nan Pu, et al. ∙ 11 ∙ share

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Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020

This technical report presents an overview of our solution used in the s...
07/20/2020 ∙ by Haisheng Su, et al. ∙ 2 ∙ share

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Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases

With the rapid development of knowledge bases (KBs), link prediction tas...
07/08/2020 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

This technical report introduces our winning solution to the spatio-temp...
06/16/2020 ∙ by Siyu Chen, et al. ∙ 0 ∙ share

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A novel multimodal approach for hybrid brain-computer interface

Brain-computer interface (BCI) technologies have been widely used in man...
04/25/2020 ∙ by Zhe Sun, et al. ∙ 0 ∙ share

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Change Detection in Heterogeneous Optical and SAR Remote Sensing Images via Deep Homogeneous Feature Fusion

Change detection in heterogeneous remote sensing images is crucial for d...
04/08/2020 ∙ by Xiao Jiang, et al. ∙ 4 ∙ share

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Anisotropic Convolutional Networks for 3D Semantic Scene Completion

As a voxel-wise labeling task, semantic scene completion (SSC) tries to ...
04/05/2020 ∙ by Jie Li, et al. ∙ 2 ∙ share

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DPGN: Distribution Propagation Graph Network for Few-shot Learning

We extend this idea further to explicitly model the distribution-level r...
03/31/2020 ∙ by Ling Yang, et al. ∙ 0 ∙ share

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1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation

This article introduces the solutions of the two champion teams, `MMfrui...
03/17/2020 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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KPNet: Towards Minimal Face Detector

The small receptive field and capacity of minimal neural networks limit ...
03/17/2020 ∙ by Guanglu Song, et al. ∙ 7 ∙ share

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Revisiting the Sibling Head in Object Detector

The “shared head for classification and localization” (sibling head), fi...
03/17/2020 ∙ by Guanglu Song, et al. ∙ 0 ∙ share

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Top-1 Solution of Multi-Moments in Time Challenge 2019

In this technical report, we briefly introduce the solutions of our team...
03/12/2020 ∙ by Manyuan Zhang, et al. ∙ 7 ∙ share

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3D Gated Recurrent Fusion for Semantic Scene Completion

This paper tackles the problem of data fusion in the semantic scene comp...
02/17/2020 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning

Hyperspectral image(HSI) classification has been improved with convoluti...
02/11/2020 ∙ by Haokui Zhang, et al. ∙ 0 ∙ share

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Long-Range Gesture Recognition Using Millimeter Wave Radar

Millimeter wave (mmWave) based gesture recognition technology provides a...
02/07/2020 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Depth Based Semantic Scene Completion with Position Importance Aware Loss

Semantic Scene Completion (SSC) refers to the task of inferring the 3D s...
01/29/2020 ∙ by Yu Liu, et al. ∙ 14 ∙ share

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Temporal Interlacing Network

For a long time, the vision community tries to learn the spatio-temporal...
01/17/2020 ∙ by Hao Shao, et al. ∙ 17 ∙ share

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Search to Distill: Pearls are Everywhere but not the Eyes

Standard Knowledge Distillation (KD) approaches distill the knowledge of...
11/20/2019 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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A game method for improving the interpretability of convolution neural network

Real artificial intelligence always has been focused on by many machine ...
10/21/2019 ∙ by Jinwei Zhao, et al. ∙ 0 ∙ share

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A Coding-free Software Framework of Developing Web Data Management Systems

More and more enterprises recently intend to deploy data management syst...
10/13/2019 ∙ by Can Yang, et al. ∙ 0 ∙ share

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Gradient Information Guided Deraining with A Novel Network and Adversarial Training

In recent years, deep learning based methods have made significant progr...
10/09/2019 ∙ by Yinglong Wang, et al. ∙ 7 ∙ share

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Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation

This paper tackles the problem of video object segmentation. We are spec...
09/28/2019 ∙ by Yu Liu, et al. ∙ 29 ∙ share

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Blind Channel Estimation and Data Detection with Unknown Modulation and Coding Scheme

This paper investigates a complete blind receiver approach in an unknown...
09/25/2019 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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A First Look at Commercial 5G Performance on Smartphones

We conduct to our knowledge a first measurement study of commercial 5G p...
09/17/2019 ∙ by Arvind Narayanan, et al. ∙ 0 ∙ share

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A First Measurement Study of Commercial mmWave 5G Performance on Smartphones

We conduct to our knowledge a first measurement study of commercial mmWa...
09/17/2019 ∙ by Arvind Narayanan, et al. ∙ 0 ∙ share

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Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes

Spiking neural networks (SNNs) are the third generation of neural networ...
09/10/2019 ∙ by Changqing Xu, et al. ∙ 0 ∙ share

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Towards Flops-constrained Face Recognition

Large scale face recognition is challenging especially when the computat...
09/02/2019 ∙ by Yu Liu, et al. ∙ 1 ∙ share

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In defense of OSVOS

As a milestone for video object segmentation, one-shot video object segm...
08/19/2019 ∙ by Yu Liu, et al. ∙ 7 ∙ share

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Exploiting temporal consistency for real-time video depth estimation

Accuracy of depth estimation from static images has been significantly i...
08/10/2019 ∙ by Haokui Zhang, et al. ∙ 12 ∙ share

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Modeling Event Propagation via Graph Biased Temporal Point Process

Temporal point process is widely used for sequential data modeling. In t...
08/05/2019 ∙ by Weichang Wu, et al. ∙ 0 ∙ share

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Scalable Place Recognition Under Appearance Change for Autonomous Driving

A major challenge in place recognition for autonomous driving is to be r...
08/01/2019 ∙ by Anh-Dzung Doan, et al. ∙ 0 ∙ share

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Use of OWL and Semantic Web Technologies at Pinterest

Pinterest is a popular Web application that has over 250 million active ...
07/03/2019 ∙ by Rafael S. Gonçalves, et al. ∙ 0 ∙ share

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Fast Accurate Beam and Channel Tracking for Two-dimensional Phased Antenna Arrays

The sparsity and the severe attenuation of millimeter-wave (mmWave) chan...
06/29/2019 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Fast Accurate Beam and Channel Tracking for Two-dimensional Phased Antenna Array

The sparsity and the severe attenuation of millimeter-wave (mmWave) chan...
06/29/2019 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation

Many important classification problems, such as object classification, s...
06/06/2019 ∙ by Yu Liu, et al. ∙ 3 ∙ share

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Yu Liu

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