Search Results for author: Rui Huang

Found 45 papers, 23 papers with code

Learning Memory Augmented Cascading Network for Compressed Sensing of Images

1 code implementation ECCV 2020 Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang

The IDR module is designed to reconstruct the remaining details from the residual measurement vector, and MRU is employed to update the residual measurement vector and feed it into the next IDR module.

Mutual Generative Transformer Learning for Cross-view Geo-localization

no code implementations17 Mar 2022 Jianwei Zhao, Qiang Zhai, Rui Huang, Hong Cheng

Cross-view geo-localization (CVGL), which aims to estimate the geographical location of the ground-level camera by matching against enormous geo-tagged aerial (e. g., satellite) images, remains extremely challenging due to the drastic appearance differences across views.

Domain Adaptation via Prompt Learning

no code implementations14 Feb 2022 Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang

Unsupervised domain adaption (UDA) aims to adapt models learned from a well-annotated source domain to a target domain, where only unlabeled samples are given.

Domain Adaptation

Fully Attentional Network for Semantic Segmentation

no code implementations8 Dec 2021 Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang

Recent non-local self-attention methods have proven to be effective in capturing long-range dependencies for semantic segmentation.

Semantic Segmentation

Denoised Non-Local Neural Network for Semantic Segmentation

no code implementations27 Oct 2021 Qi Song, Jie Li, Hao Guo, Rui Huang

Without any external training data, our proposed Denoised NL can achieve the state-of-the-art performance of 83. 5\% and 46. 69\% mIoU on Cityscapes and ADE20K, respectively.

Semantic Segmentation

PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation

1 code implementation12 Oct 2021 Hualie Jiang, Laiyan Ding, Junjie Hu, Rui Huang

Unsupervised learning of depth from indoor monocular videos is challenging as the artificial environment contains many textureless regions.

Depth Estimation

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

1 code implementation NeurIPS 2021 Rui Huang, Andrew Geng, Yixuan Li

Detecting out-of-distribution (OOD) data has become a critical component in ensuring the safe deployment of machine learning models in the real world.

OOD Detection

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation

1 code implementation18 Sep 2021 Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang

First, we present a domain composition method that represents one certain domain by a linear combination of a set of basis representations (i. e., a representation bank).

Domain Generalization Medical Image Segmentation +1

Unsupervised Monocular Depth Perception: Focusing on Moving Objects

1 code implementation30 Aug 2021 Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang

We first propose an outlier masking technique that considers the occluded or dynamic pixels as statistical outliers in the photometric error map.

Autonomous Driving Motion Estimation

IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement

no code implementations29 Jun 2021 Jie Li, Laiyan Ding, Rui Huang

3D semantic scene completion and 2D semantic segmentation are two tightly correlated tasks that are both essential for indoor scene understanding, because they predict the same semantic classes, using positively correlated high-level features.

2D Semantic Segmentation Scene Understanding +1

Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models

no code implementations26 Jun 2021 Jingxuan Li, Rui Huang, Wei Li, Kai Yao, Weiguo Tan

We integrate this ranking scheme with two frequency models and a GPT-2 styled language model, along with the acceptance model to yield 27. 80% and 37. 64% increase in TOP1 and TOP5 accuracy, respectively.

Code Completion Language Modelling

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition

2 code implementations NeurIPS 2021 Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang

Inspired by this phenomenon, we propose a Dynamic Transformer to automatically configure a proper number of tokens for each input image.

Ranked #26 on Image Classification on CIFAR-100 (using extra training data)

Image Classification

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

2 code implementations CVPR 2021 Rui Huang, Yixuan Li

Detecting out-of-distribution (OOD) inputs is a central challenge for safely deploying machine learning models in the real world.

OOD Detection Out-of-Distribution Detection

BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification

1 code implementation CVPR 2021 Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, Shiguang Shan

Detail Branch processes frames at original resolution to preserve the detailed visual clues, and Context Branch with a down-sampling strategy is employed to capture long-range contexts.

Video-Based Person Re-Identification

SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom

1 code implementation2 Apr 2021 Kangfu Mei, Shenglong Ye, Rui Huang

Deep Neural Network (DNN) based super-resolution algorithms have greatly improved the quality of the generated images.

Super-Resolution

Learning Camera Localization via Dense Scene Matching

1 code implementation CVPR 2021 Shitao Tang, Chengzhou Tang, Rui Huang, Siyu Zhu, Ping Tan

We present a new method for scene agnostic camera localization using dense scene matching (DSM), where a cost volume is constructed between a query image and a scene.

Camera Localization

AR Mapping: Accurate and Efficient Mapping for Augmented Reality

no code implementations27 Mar 2021 Rui Huang, Chuan Fang, Kejie Qiu, Le Cui, Zilong Dong, Siyu Zhu, Ping Tan

Secondly, we propose an AR mapping pipeline which takes the input from the scanning device and produces accurate AR Maps.

AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing

1 code implementation10 Mar 2021 Qi Song, Kangfu Mei, Rui Huang

In this paper, we propose a new model, called Attention-Augmented Network (AttaNet), to capture both global context and multilevel semantics while keeping the efficiency high.

Scene Parsing Semantic Segmentation

Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss

1 code implementation3 Feb 2021 Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang

Despite the stateof-the-art performance achieved by Convolutional Neural Networks (CNNs) for automatic segmentation of OARs, existing methods do not provide uncertainty estimation of the segmentation results for treatment planning, and their accuracy is still limited by several factors, including the low contrast of soft tissues in CT, highly imbalanced sizes of OARs and large inter-slice spacing.

Computed Tomography (CT)

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

1 code implementation7 Dec 2020 Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui

In practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input.

Autonomous Driving Point Cloud Segmentation +1

Concentrated Multi-Grained Multi-Attention Network for Video Based Person Re-Identification

no code implementations28 Sep 2020 Panwen Hu, Jiazhen Liu, Rui Huang

The attention mechanism has been proved to be helpful in solving the occlusion problem by a large number of existing methods.

Video-Based Person Re-Identification

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

1 code implementation22 Sep 2020 Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang

Also, we propose a scale attention module implicitly emphasizing the most salient feature maps among multiple scales so that the CNN is adaptive to the size of an object.

Lesion Segmentation Semantic Segmentation +1

Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets

no code implementations17 Aug 2020 Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li

In most scenarios, one might obtain annotations of a single or a few organs from one training set, and obtain annotations of the the other organs from another set of training images.

Global Optimum Search in Quantum Deep Learning

no code implementations9 Aug 2020 Lanston Hau Man Chu, Tejas Bhojraj, Rui Huang

This paper aims to solve machine learning optimization problem by using quantum circuit.

Disentangle Perceptual Learning through Online Contrastive Learning

no code implementations24 Jun 2020 Kangfu Mei, Yao Lu, Qiaosi Yi, Hao-Yu Wu, Juncheng Li, Rui Huang

Perceptual learning approaches like perceptual loss are empirically powerful for such tasks but they usually rely on the pre-trained classification network to provide features, which are not necessarily optimal in terms of visual perception of image transformation.

Contrastive Learning

DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos

1 code implementation3 Mar 2020 Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang

Unsupervised learning of depth and ego-motion from unlabelled monocular videos has recently drawn great attention, which avoids the use of expensive ground truth in the supervised one.

Autonomous Driving Monocular Depth Estimation +1

HighEr-Resolution Network for Image Demosaicing and Enhancing

1 code implementation19 Nov 2019 Kangfu Mei, Juncheng Li, Jiajie Zhang, Hao-Yu Wu, Jie Li, Rui Huang

However, plenty of studies have shown that global information is crucial for image restoration tasks like image demosaicing and enhancing.

Demosaicking

Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations

1 code implementation IJCNLP 2019 Zuyi Bao, Rui Huang, Chen Li, Kenny Q. Zhu

Previous work on cross-lingual sequence labeling tasks either requires parallel data or bridges the two languages through word-byword matching.

Language Modelling NER +1

FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images

no code implementations28 Jul 2019 Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, YuanYuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li

In this paper, we propose an end-to-end deep neural network for solving the problem of imbalanced large and small organ segmentation in head and neck (HaN) CT images.

How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint

no code implementations9 Mar 2019 Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin

Visual tracking is fragile in some difficult scenarios, for instance, appearance ambiguity and variation, occlusion can easily degrade most of visual trackers to some extent.

Visual Tracking

ClickBAIT-v2: Training an Object Detector in Real-Time

no code implementations27 Mar 2018 Ervin Teng, Rui Huang, Bob Iannucci

Modern deep convolutional neural networks (CNNs) for image classification and object detection are often trained offline on large static datasets.

Image Classification Interactive Segmentation +2

Learning Dynamic Siamese Network for Visual Object Tracking

no code implementations ICCV 2017 Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, Song Wang

How to effectively learn temporal variation of target appearance, to exclude the interference of cluttered background, while maintaining real-time response, is an essential problem of visual object tracking.

online learning Visual Object Tracking

Active Image-based Modeling with a Toy Drone

no code implementations2 May 2017 Rui Huang, Danping Zou, Richard Vaughan, Ping Tan

Image-based modeling techniques can now generate photo-realistic 3D models from images.

Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis

3 code implementations ICCV 2017 Rui Huang, Shu Zhang, Tianyu Li, Ran He

This paper proposes a Two-Pathway Generative Adversarial Network (TP-GAN) for photorealistic frontal view synthesis by simultaneously perceiving global structures and local details.

Face Recognition

A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification

no code implementations ICCV 2015 Kan Liu, Bingpeng Ma, Wei zhang, Rui Huang

Pedestrian re-identification is a difficult problem due to the large variations in a person's appearance caused by different poses and viewpoints, illumination changes, and occlusions.

Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model

1 code implementation3 Feb 2015 Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin

The aim of this study is to provide an automatic computational framework to assist clinicians in diagnosing Focal Liver Lesions (FLLs) in Contrast-Enhancement Ultrasound (CEUS).

An Expressive Deep Model for Human Action Parsing from A Single Image

no code implementations2 Feb 2015 Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin

This paper aims at one newly raising task in vision and multimedia research: recognizing human actions from still images.

Action Parsing Action Understanding +1

Exemplar-based Linear Discriminant Analysis for Robust Object Tracking

no code implementations24 Feb 2014 Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang

However, the task in tracking is to search for a specific object, rather than an object category as in detection.

Object Tracking

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