Search Results for author: Chi-Wing Fu

Found 45 papers, 27 papers with code

Accurate Grid Keypoint Learning for Efficient Video Prediction

no code implementations28 Jul 2021 Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng

Video prediction methods generally consume substantial computing resources in training and deployment, among which keypoint-based approaches show promising improvement in efficiency by simplifying dense image prediction to light keypoint prediction.

Video Prediction

FloorLevel-Net: Recognizing Floor-Level Lines with Height-Attention-Guided Multi-task Learning

no code implementations6 Jul 2021 Mengyang Wu, Wei Zeng, Chi-Wing Fu

The ability to recognize the position and order of the floor-level lines that divide adjacent building floors can benefit many applications, for example, urban augmented reality (AR).

Data Augmentation Multi-Task Learning

Point Cloud Upsampling via Disentangled Refinement

1 code implementation CVPR 2021 Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu

Point clouds produced by 3D scanning are often sparse, non-uniform, and noisy.

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud

1 code implementation CVPR 2021 Wu Zheng, Weiliang Tang, Li Jiang, Chi-Wing Fu

Lastly, to better exploit hard targets, we design an ODIoU loss to supervise the student with constraints on the predicted box centers and orientations.

3D Object Detection Birds Eye View Object Detection

3D-to-2D Distillation for Indoor Scene Parsing

1 code implementation CVPR 2021 Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu

First, we distill 3D knowledge from a pretrained 3D network to supervise a 2D network to learn simulated 3D features from 2D features during the training, so the 2D network can infer without requiring 3D data.

Scene Parsing Semantic Parsing

One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation

1 code implementation CVPR 2021 Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu

Point cloud semantic segmentation often requires largescale annotated training data, but clearly, point-wise labels are too tedious to prepare.

3D Semantic Segmentation

One Point is All You Need: Directional Attention Point for Feature Learning

no code implementations11 Dec 2020 Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang

We present a novel attention-based mechanism for learning enhanced point features for tasks such as point cloud classification and segmentation.

Point Cloud Classification

CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

1 code implementation5 Dec 2020 Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu

Existing single-stage detectors for locating objects in point clouds often treat object localization and category classification as separate tasks, so the localization accuracy and classification confidence may not well align.

3D Object Detection Birds Eye View Object Detection +3

DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

no code implementations13 Oct 2020 Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng

Our DoFE framework dynamically enriches the image features with additional domain prior knowledge learned from multi-source domains to make the semantic features more discriminative.

Domain Generalization Semantic Segmentation

Mononizing Binocular Videos

1 code implementation3 Sep 2020 Wenbo Hu, Menghan Xia, Chi-Wing Fu, Tien-Tsin Wong

This paper presents the idea ofmono-nizingbinocular videos and a frame-work to effectively realize it.

Image and Video Processing Graphics

Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization

no code implementations ECCV 2020 Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng

To this end, we present a new domain generalization framework that learns how to generalize across domains simultaneously from extrinsic relationship supervision and intrinsic self-supervision for images from multi-source domains.

Domain Generalization Metric Learning +2

TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network

1 code implementation5 Jul 2020 Hao Xu, Ka Hei Hui, Chi-Wing Fu, Hao Zhang

To start, we reformulate tiling as a graph problem by modeling candidate tile locations in the target shape as graph nodes and connectivity between tile locations as edges.

A Rotation-Invariant Framework for Deep Point Cloud Analysis

1 code implementation16 Mar 2020 Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng

Recently, many deep neural networks were designed to process 3D point clouds, but a common drawback is that rotation invariance is not ensured, leading to poor generalization to arbitrary orientations.

Point Cloud Generation

Non-Local Part-Aware Point Cloud Denoising

no code implementations14 Mar 2020 Chao Huang, Ruihui Li, Xianzhi Li, Chi-Wing Fu

This paper presents a novel non-local part-aware deep neural network to denoise point clouds by exploring the inherent non-local self-similarity in 3D objects and scenes.

Denoising Graph Attention

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

1 code implementation CVPR 2020 Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu

We present PointAugment, a new auto-augmentation framework that automatically optimizes and augments point cloud samples to enrich the data diversity when we train a classification network.

General Classification Point Cloud Classification

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

no code implementations16 Nov 2019 Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, Pheng-Ann Heng

Shadow detection in general photos is a nontrivial problem, due to the complexity of the real world.

Shadow Detection

Instance Shadow Detection

2 code implementations CVPR 2020 Tianyu Wang, Xiao-Wei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu

Then, we pair up the predicted shadow and object instances, and match them with the predicted shadow-object associations to generate the final results.

Instance Shadow Detection Shadow Detection

CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

1 code implementation4 Nov 2019 Xiaomeng Li, Xiao-Wei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng

In this paper, we present a novel cross-disease attention network (CANet) to jointly grade DR and DME by exploring the internal relationship between the diseases with only image-level supervision.

Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

no code implementations ICCV 2019 Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia

To incorporate point features in the edge branch, we establish a hierarchical graph framework, where the graph is initialized from a coarse layer and gradually enriched along the point decoding process.

Scene Labeling Semantic Segmentation

Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention

2 code implementations ICCV 2019 Zhiliang Zeng, Xianzhi Li, Ying Kin Yu, Chi-Wing Fu

Besides walls and rooms, we aim to recognize diverse floor plan elements, such as doors, windows and different types of rooms, in the floor layouts.

LassoNet: Deep Lasso-Selection of 3D Point Clouds

no code implementations31 Jul 2019 Zhutian Chen, Wei Zeng, Zhiguang Yang, Lingyun Yu, Chi-Wing Fu, Huamin Qu

A hierarchical network is trained using a dataset with over 30K lasso-selection records on two different point cloud data.

Human-Computer Interaction Graphics

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

3 code implementations16 Jul 2019 Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng

We design a novel uncertainty-aware scheme to enable the student model to gradually learn from the meaningful and reliable targets by exploiting the uncertainty information.

Left Atrium Segmentation Medical Image Segmentation

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

1 code implementation13 Jul 2019 Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng

Mutually leveraging both low-level feature sharing and high-level prediction correlating, our MTRCNet-CL method can encourage the interactions between the two tasks to a large extent, and hence can bring about benefits to each other.

Surgical tool detection

Revisiting Metric Learning for Few-Shot Image Classification

no code implementations6 Jul 2019 Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng

However, the importance of feature embedding, i. e., exploring the relationship among training samples, is neglected.

Few-Shot Image Classification General Classification +2

Difficulty-aware Meta-learning for Rare Disease Diagnosis

no code implementations30 Jun 2019 Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng

Rare diseases have extremely low-data regimes, unlike common diseases with large amount of available labeled data.

General Classification Lesion Classification +2

Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation

1 code implementation26 Jun 2019 Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng

The cross-domain discrepancy (domain shift) hinders the generalization of deep neural networks to work on different domain datasets. In this work, we present an unsupervised domain adaptation framework, called Boundary and Entropy-driven Adversarial Learning (BEAL), to improve the OD and OC segmentation performance, especially on the ambiguous boundary regions.

Semantic Segmentation Unsupervised Domain Adaptation

Unsupervised Detection of Distinctive Regions on 3D Shapes

no code implementations5 May 2019 Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng

This paper presents a novel approach to learn and detect distinctive regions on 3D shapes.

Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data

4 code implementations ICCV 2019 Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng

This paper presents a new method for shadow removal using unpaired data, enabling us to avoid tedious annotations and obtain more diverse training samples.

Shadow Removal

SAC-Net: Spatial Attenuation Context for Salient Object Detection

no code implementations25 Mar 2019 Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Tianyu Wang, Pheng-Ann Heng

This paper presents a new deep neural network design for salient object detection by maximizing the integration of local and global image context within, around, and beyond the salient objects.

RGB Salient Object Detection Salient Object Detection

Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

no code implementations28 Feb 2019 Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng

In this paper, we present a novel semi-supervised method for medical image segmentation, where the network is optimized by the weighted combination of a common supervised loss for labeled inputs only and a regularization loss for both labeled and unlabeled data.

Lesion Segmentation Liver Segmentation +2

Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

no code implementations20 Feb 2019 Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng

In this paper, we present a novel patchbased Output Space Adversarial Learning framework (pOSAL) to jointly and robustly segment the OD and OC from different fundus image datasets.

Unsupervised Domain Adaptation

Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection

1 code implementation ECCV 2018 Lei Zhu, Zijun Deng, Xiao-Wei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, Pheng-Ann Heng

Second, we develop a bidirectional feature pyramid network (BFPN) to aggregate shadow contexts spanned across different CNN layers by deploying two series of RAR modules in the network to iteratively combine and refine context features: one series to refine context features from deep to shallow layers, and another series from shallow to deep layers.

Shadow Detection

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

1 code implementation12 Aug 2018 Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng

In this paper, we present a novel semi-supervised method for skin lesion segmentation, where the network is optimized by the weighted combination of a common supervised loss for labeled inputs only and a regularization loss for both labeled and unlabeled data.

Lesion Segmentation

EC-Net: an Edge-aware Point set Consolidation Network

no code implementations ECCV 2018 Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng

In this paper, we present the first deep learning based edge-aware technique to facilitate the consolidation of point clouds.

Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images

1 code implementation8 Jul 2018 Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng

Our best model achieves 77. 23\%(JA) on the test dataset, outperforming the state-of-the-art challenging methods and further demonstrating the effectiveness of our proposed deeply supervised rotation equivariant segmentation network.

Lesion Segmentation

Direction-aware Spatial Context Features for Shadow Detection and Removal

1 code implementation12 May 2018 Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, Pheng-Ann Heng

This paper presents a novel deep neural network design for shadow detection and removal by analyzing the spatial image context in a direction-aware manner.

Shadow Detection And Removal Shadow Removal

PU-Net: Point Cloud Upsampling Network

3 code implementations CVPR 2018 Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng

Learning and analyzing 3D point clouds with deep networks is challenging due to the sparseness and irregularity of the data.

Point Cloud Super Resolution

Direction-aware Spatial Context Features for Shadow Detection

1 code implementation CVPR 2018 Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, Pheng-Ann Heng

To achieve this, we first formulate the direction-aware attention mechanism in a spatial recurrent neural network (RNN) by introducing attention weights when aggregating spatial context features in the RNN.

Detecting Shadows Shadow Detection

Joint Bi-Layer Optimization for Single-Image Rain Streak Removal

no code implementations ICCV 2017 Lei Zhu, Chi-Wing Fu, Dani Lischinski, Pheng-Ann Heng

A third prior is defined on the rain-streak layer R, based on similarity of patches to the extracted rain patches.

Rain Removal

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

1 code implementation21 Sep 2017 Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng Ann Heng

Our method outperformed other state-of-the-arts on the segmentation results of tumors and achieved very competitive performance for liver segmentation even with a single model.

Automatic Liver And Tumor Segmentation Lesion Segmentation +2

A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction

no code implementations CVPR 2017 Lei Zhu, Chi-Wing Fu, Michael S. Brown, Pheng-Ann Heng

`Speckle' refers to the granular patterns that occur in ultrasound images due to wave interference.

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