Xiamen University

research

∙ 04/19/2021

Contrastive Learning for Compact Single Image Dehazing

Single image dehazing is a challenging ill-posed problem due to the seve...

Haiyan Wu, et al. ∙

research

∙ 01/24/2022

Multi-Graph Fusion Networks for Urban Region Embedding

Learning the embeddings for urban regions from human mobility data can r...

Shangbin Wu, et al. ∙

research

∙ 08/19/2021

An Information Theory-inspired Strategy for Automatic Network Pruning

Despite superior performance on many computer vision tasks, deep convolu...

Xiawu Zheng, et al. ∙

research

∙ 03/23/2022

Training-free Transformer Architecture Search

Recently, Vision Transformer (ViT) has achieved remarkable success in se...

Qinqin Zhou, et al. ∙

research

∙ 12/14/2018

Action Machine: Rethinking Action Recognition in Trimmed Videos

Existing methods in video action recognition mostly do not distinguish h...

Jiagang Zhu, et al. ∙

research

∙ 04/29/2019

Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning

Unpaired Image-to-Image Translation (UIT) focuses on translating images ...

Xinyang Li, et al. ∙

research

∙ 03/28/2022

LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds

Existing motion capture datasets are largely short-range and cannot yet ...

Jialian Li, et al. ∙

research

∙ 12/03/2019

Noise2Blur: Online Noise Extraction and Denoising

We propose a new framework called Noise2Blur (N2B) for training robust i...

Huangxing Lin, et al. ∙

research

∙ 11/04/2021

Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports

Pre-training lays the foundation for recent successes in radiograph anal...

Hong-Yu Zhou, et al. ∙

research

∙ 02/14/2020

End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking

Event cameras, which are asynchronous bio-inspired vision sensors, have ...

Haosheng Chen, et al. ∙

research

∙ 01/13/2022

Automatic Sparse Connectivity Learning for Neural Networks

Since sparse neural networks usually contain many zero weights, these un...

Zhimin Tang, et al. ∙

research

∙ 12/07/2019

A Real-time Global Inference Network for One-stage Referring Expression Comprehension

Referring Expression Comprehension (REC) is an emerging research spot in...

Yiyi Zhou, et al. ∙

research

∙ 09/07/2021

nnFormer: Interleaved Transformer for Volumetric Segmentation

Transformers, the default model of choices in natural language processin...

Hong-Yu Zhou, et al. ∙

research

∙ 02/19/2019

Semantic Neural Machine Translation using AMR

It is intuitive that semantic representations can be useful for machine ...

Linfeng Song, et al. ∙

research

∙ 04/17/2019

LO-Net: Deep Real-time Lidar Odometry

We present a novel deep convolutional network pipeline, LO-Net, for real...

Qing Li, et al. ∙

research

∙ 12/23/2019

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

Fully exploring correlation among points in point clouds is essential fo...

Wenkai Han, et al. ∙

research

∙ 10/13/2021

Breaking the Dilemma of Medical Image-to-image Translation

Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that...

Lingke Kong, et al. ∙

research

∙ 11/21/2018

A Deep Tree-Structured Fusion Model for Single Image Deraining

We propose a simple yet effective deep tree-structured fusion model base...

Xueyang Fu, et al. ∙

research

∙ 08/11/2019

Exploiting Temporal Relationships in Video Moment Localization with Natural Language

We address the problem of video moment localization with natural languag...

Jinsong Su, et al. ∙

research

∙ 01/15/2020

Filter Grafting for Deep Neural Networks

This paper proposes a new learning paradigm called filter grafting, whic...

Fanxu Meng, et al. ∙

research

∙ 02/19/2020

Meta Segmentation Network for Ultra-Resolution Medical Images

Despite recent progress on semantic segmentation, there still exist huge...

Tong Wu, et al. ∙

research

∙ 08/08/2020

VPC-Net: Completion of 3D Vehicles from MLS Point Clouds

Vehicles are the most concerned investigation target as a dynamic and es...

Yan Xia, et al. ∙

research

∙ 03/25/2021

I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors

Recent works on two-stage cross-domain detection have widely explored th...

Chaoqi Chen, et al. ∙

research

∙ 04/30/2022

FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation

Federated learning provides a privacy guarantee for generating good deep...

Xinyi Shang, et al. ∙

research

∙ 09/16/2021

OMPQ: Orthogonal Mixed Precision Quantization

To bridge the ever increasing gap between deep neural networks' complexi...

Yuexiao Ma, et al. ∙

research

∙ 12/10/2021

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) aims to learn object locali...

Zhiwei Chen, et al. ∙

research

∙ 03/03/2021

Non-local Channel Aggregation Network for Single Image Rain Removal

Rain streaks showing in images or videos would severely degrade the perf...

Zhipeng Su, et al. ∙

research

∙ 02/22/2020

Shallow2Deep: Indoor Scene Modeling by Single Image Understanding

Dense indoor scene modeling from 2D images has been bottlenecked due to ...

Yinyu Nie, et al. ∙

research

∙ 02/01/2021

Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement

To improve the quality of underwater images, various kinds of underwater...

Zhenqi Fu, et al. ∙

research

∙ 11/08/2021

Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network

We propose a novel shape-aware relation network for accurate and real-ti...

Jiacheng Wang, et al. ∙

research

∙ 02/24/2021

SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification

Visible-Infrared person re-identification (VI-ReID) is a challenging mat...

Haojie Liu, et al. ∙

research

∙ 10/11/2021

TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency

The explanation for deep neural networks has drawn extensive attention i...

Lin Cheng, et al. ∙

research

∙ 11/25/2021

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting

Recent studies focus on formulating the traffic forecasting as a spatio-...

Chuanpan Zheng, et al. ∙

research

∙ 12/28/2021

GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference

Semi-supervised learning is a challenging problem which aims to construc...

Peng Tu, et al. ∙

research

∙ 04/02/2022

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation

Pixel synthesis is a promising research paradigm for image generation, w...

Jing He, et al. ∙

research

∙ 11/11/2019

Fast Learning of Temporal Action Proposal via Dense Boundary Generator

Generating temporal action proposals remains a very challenging problem,...

Chuming Lin, et al. ∙

research

∙ 05/06/2022

Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting

Crowd Counting has important applications in public safety and pandemic ...

Jiaqi Gao, et al. ∙

research

∙ 06/03/2019

RF-Net: An End-to-End Image Matching Network based on Receptive Field

This paper proposes a new end-to-end trainable matching network based on...

Xuelun Shen, et al. ∙

research

∙ 02/01/2020

Deeply Activated Salient Region for Instance Search

Due to the lack of suitable feature representation, effective solution t...

Hui-Chu Xiao, et al. ∙

research

∙ 02/03/2020

Novelty Detection via Non-Adversarial Generative Network

One-class novelty detection is the process of determining if a query exa...

Chengwei Chen, et al. ∙

research

∙ 08/01/2019

Learning to Adapt Invariance in Memory for Person Re-identification

This work considers the problem of unsupervised domain adaptation in per...

Zhun Zhong, et al. ∙

research

∙ 02/24/2020

HRank: Filter Pruning using High-Rank Feature Map

Neural network pruning offers a promising prospect to facilitate deployi...

Mingbao Lin, et al. ∙

research

∙ 06/29/2021

GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference

Semi-supervised learning is a challenging problem which aims to construc...

Peng Tu, et al. ∙

research

∙ 01/04/2022

What Hinders Perceptual Quality of PSNR-oriented Methods?

In this paper, we discover two factors that inhibit POMs from achieving ...

Tianshuo Xu, et al. ∙

research

∙ 01/18/2022

When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework

Human emotions involve basic and compound facial expressions. However, c...

Xinyi Zou, et al. ∙

research

∙ 01/23/2020

Continual Local Replacement for Few-shot Image Recognition

The goal of few-shot learning is to learn a model that can recognize nov...

Canyu Le, et al. ∙

research

∙ 10/25/2021

Event Data Association via Robust Model Fitting for Event-based Object Tracking

Event-based approaches, which are based on bio-inspired asynchronous eve...

Haosheng Chen, et al. ∙

research

∙ 03/08/2022

Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes

Over the past few years, deep convolutional neural network-based methods...

Xi Weng, et al. ∙

research

∙ 03/08/2022

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes

Real-time semantic segmentation, which aims to achieve high segmentation...

Xi Weng, et al. ∙

research

∙ 02/13/2020

Hypergraph Optimization for Multi-structural Geometric Model Fitting

Recently, some hypergraph-based methods have been proposed to deal with ...

Shuyuan Lin, et al. ∙

Xiamen University

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