Search Results for author: Tao Lu

Found 43 papers, 16 papers with code

Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians

1 code implementation26 Mar 2024 Kerui Ren, Lihan Jiang, Tao Lu, Mulin Yu, Linning Xu, Zhangkai Ni, Bo Dai

The recent 3D Gaussian splatting (3D-GS) has shown remarkable rendering fidelity and efficiency compared to NeRF-based neural scene representations.

Neural Rendering

GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

no code implementations25 Mar 2024 Mulin Yu, Tao Lu, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo Dai

We show on diverse scenes that our design unlocks the potential for more accurate and detailed surface reconstructions, and at the meantime benefits 3DGS rendering with structures that are more aligned with the underlying geometry.

Neural Rendering

3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching

no code implementations16 Jan 2024 Haibin Zhou, Jun Chang, Tao Lu, Huabing Zhou

Therefore, accurate lane modeling is essential to align prediction results closely with the environment.

3D Lane Detection Trajectory Planning

Word length-aware text spotting: Enhancing detection and recognition in dense text image

no code implementations25 Dec 2023 Hao Wang, Huabing Zhou, Yanduo Zhang, Tao Lu, Jiayi Ma

Scene text spotting is essential in various computer vision applications, enabling extracting and interpreting textual information from images.

Text Detection Text Spotting

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

1 code implementation30 Nov 2023 Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, LiMin Wang, Dahua Lin, Bo Dai

Neural rendering methods have significantly advanced photo-realistic 3D scene rendering in various academic and industrial applications.

Neural Rendering

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation

1 code implementation19 Sep 2023 Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang

The different predictions in these duplicated heads are used to obtain pseudo labels for unlabeled target-domain images and their uncertainty to identify reliable pseudo labels.

Brain Segmentation Image Segmentation +5

SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

1 code implementation ICCV 2023 Haisong Liu, Yao Teng, Tao Lu, Haiguang Wang, LiMin Wang

Dense detectors typically follow a two-stage pipeline by first constructing a dense BEV feature and then performing object detection in BEV space, which suffers from complex view transformations and high computation cost.

3D Object Detection Object +1

UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation

no code implementations20 Jun 2023 Jia Fu, Tao Lu, Shaoting Zhang, Guotai Wang

To this end, we propose a novel weakly-supervised method with image-level labels based on semantic features and context information exploration.

Brain Segmentation Weakly supervised segmentation

LinK: Linear Kernel for LiDAR-based 3D Perception

1 code implementation CVPR 2023 Tao Lu, Xiang Ding, Haisong Liu, Gangshan Wu, LiMin Wang

Extending the success of 2D Large Kernel to 3D perception is challenging due to: 1. the cubically-increasing overhead in processing 3D data; 2. the optimization difficulties from data scarcity and sparsity.

3D Object Detection 3D Semantic Segmentation +1

Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion

1 code implementation21 Mar 2023 Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, LiMin Wang

To fuse dense image features and sparse point features, we propose a learnable operator named bidirectional camera-LiDAR fusion module (Bi-CLFM).

Optical Flow Estimation Scene Flow Estimation +1

Essential Number of Principal Components and Nearly Training-Free Model for Spectral Analysis

no code implementations30 Dec 2022 Yifeng Bie, Shuai You, Xinrui Li, Xuekui Zhang, Tao Lu

Due to the mutual in-dependency among different gas molecules, near one-to-one projection from the principal component to the mixture constituent can be established, leading to a significant simplification of spectral quantification.

APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification

1 code implementation2 May 2022 Tao Lu, Chunxu Liu, Youxin Chen, Gangshan Wu, LiMin Wang

In the existing work, each point in the cloud may inevitably be selected as the neighbors of multiple aggregation centers, as all centers will gather neighbor features from the whole point cloud independently.

3D Classification 3D Point Cloud Classification +1

Wi-Fi and Bluetooth Contact Tracing Without User Intervention

no code implementations31 Mar 2022 Brosnan Yuen, Yifeng Bie, Duncan Cairns, Geoffrey Harper, Jason Xu, Charles Chang, Xiaodai Dong, Tao Lu

Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices.

Privacy Preserving

Deep Single Image Deraining using An Asymetric Cycle Generative and Adversarial Framework

no code implementations19 Feb 2022 Wei Liu, Rui Jiang, Cheng Chen, Tao Lu, Zixiang Xiong

The former consists of parallel rain removal path and rain-fog feature extraction path by the rain and derain-fog network and the attention rain-fog feature extraction network (ARFE) , while the latter only contains a synthetic rain transformation path.

Single Image Deraining

Unpaired Quad-Path Cycle Consistent Adversarial Networks for Single Image Defogging

no code implementations19 Feb 2022 Wei Liu, Cheng Chen, Rui Jiang, Tao Lu, Zixiang Xiong

To address these issues, we develop a novel generative adversarial network, called quad-path cycle consistent adversarial network (QPC-Net), for single image defogging.

Generative Adversarial Network

Meta-Imitation Learning by Watching Video Demonstrations

no code implementations ICLR 2022 Jiayi Li, Tao Lu, Xiaoge Cao, Yinghao Cai, Shuo Wang

Our approach relies only on human videos and does not require robot demonstration, which facilitates data collection and is more in line with human imitation behavior.

Imitation Learning

TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network

no code implementations16 Sep 2021 Yuanzhi Wang, Tao Lu, Yanduo Zhang, Junjun Jiang, JiaMing Wang, Zhongyuan Wang, Jiayi Ma

Recently, face super-resolution (FSR) methods either feed whole face image into convolutional neural networks (CNNs) or utilize extra facial priors (e. g., facial parsing maps, facial landmarks) to focus on facial structure, thereby maintaining the consistency of the facial structure while restoring facial details.

Face Reconstruction Super-Resolution

CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation

1 code implementation CVPR 2021 Tao Lu, LiMin Wang, Gangshan Wu

Previous point cloud semantic segmentation networks use the same process to aggregate features from neighbors of the same category and different categories.

Segmentation Semantic Segmentation

GLSD: The Global Large-Scale Ship Database and Baseline Evaluations

1 code implementation5 Jun 2021 Zhenfeng Shao, JiaMing Wang, Lianbing Deng, Xiao Huang, Tao Lu, Fang Luo, Ruiqian Zhang, Xianwei Lv, Chaoya Dang, Qing Ding, Zhiqiang Wang

In this paper, we introduce a challenging global large-scale ship database (called GLSD), designed specifically for ship detection tasks.

object-detection Object Detection

Pan-sharpening via High-pass Modification Convolutional Neural Network

1 code implementation24 May 2021 JiaMing Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Jiayi Ma

Most existing deep learning-based pan-sharpening methods have several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement, we propose a novel pan-sharpening convolutional neural network based on a high-pass modification block.

Vocal Bursts Intensity Prediction

SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising

no code implementations23 May 2021 Zhiqiang Wang, Zhenfeng Shao, Xiao Huang, JiaMing Wang, Tao Lu, Sihang Zhang

In this study, we propose a novel HSI denoising network, termed SSCAN, that combines group convolutions and attention modules.

Hyperspectral Image Denoising Image Denoising

Unsupervised Remote Sensing Super-Resolution via Migration Image Prior

1 code implementation8 May 2021 JiaMing Wang, Zhenfeng Shao, Tao Lu, Xiao Huang, Ruiqian Zhang, Yu Wang

Despite their success, however, low/high spatial resolution pairs are usually difficult to obtain in satellites with a high temporal resolution, making such approaches in SR impractical to use.

Generative Adversarial Network Super-Resolution

Multi-scale Self-calibrated Network for Image Light Source Transfer

1 code implementation18 Apr 2021 Yuanzhi Wang, Tao Lu, Yanduo Zhang, Yuntao Wu

However, many problems for scene reconversion and shadow estimation tasks, including uncalibrated feature information and poor semantic information, are still unresolved, thereby resulting in insufficient feature representation.

Decoder Image Relighting

Meteorologically Introduced Impacts on Aerial Channels and UAV Communications

no code implementations14 Apr 2021 Mengan Song, Yiming Huo, Tao Lu, Xiaodai Dong, Zhonghua Liang

As 5G wireless systems and networks are now being globally commercialized and deployed, more diversified application scenarios are emerging, quickly reshaping our societies and paving the road to the beyond 5G (6G) era when terahertz (THz) and unmanned aerial vehicle (UAV) communications may play critical roles.

Omniscient Video Super-Resolution

no code implementations ICCV 2021 Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma

Most recent video super-resolution (SR) methods either adopt an iterative manner to deal with low-resolution (LR) frames from a temporally sliding window, or leverage the previously estimated SR output to help reconstruct the current frame recurrently.

Video Super-Resolution

Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement

1 code implementation19 Mar 2021 Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin

Different from existing methods tending to accomplish the relighting task directly by ignoring the fidelity and naturalness recovery, we investigate the intrinsic degradation and relight the low-light image while refining the details and color in two steps.

Low-Light Image Enhancement

Localized Meta-Learning: A PAC-Bayes Analysis for Meta-Learning Beyond Global Prior

no code implementations1 Jan 2021 Chenghao Liu, Tao Lu, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven Hoi

Meta-learning methods learn the meta-knowledge among various training tasks and aim to promote the learning of new tasks under the task similarity assumption.


ACDER: Augmented Curiosity-Driven Experience Replay

no code implementations16 Nov 2020 Boyao Li, Tao Lu, Jiayi Li, Ning Lu, Yinghao Cai, Shuo Wang

Exploration in environments with sparse feedback remains a challenging research problem in reinforcement learning (RL).

FetchPush-v1 Reinforcement Learning (RL)

Universal Activation Function For Machine Learning

no code implementations7 Nov 2020 Brosnan Yuen, Minh Tu Hoang, Xiaodai Dong, Tao Lu

This article proposes a Universal Activation Function (UAF) that achieves near optimal performance in quantification, classification, and reinforcement learning (RL) problems.

BIG-bench Machine Learning General Classification +1

Face Hallucination via Split-Attention in Split-Attention Network

1 code implementation22 Oct 2020 Tao Lu, Yuanzhi Wang, Yanduo Zhang, Yu Wang, Wei Liu, Zhongyuan Wang, Junjun Jiang

However, most of them fail to take into account the overall facial profile and fine texture details simultaneously, resulting in reduced naturalness and fidelity of the reconstructed face, and further impairing the performance of downstream tasks (e. g., face detection, facial recognition).

Face Detection Face Hallucination +4

A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization

no code implementations13 May 2020 Minh Tu Hoang, Brosnan Yuen, Kai Ren, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy

This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization.

General Classification Indoor Localization

Feature-Driven Super-Resolution for Object Detection

no code implementations1 Apr 2020 Bin Wang, Tao Lu, Yanduo Zhang

Comparing with some state-of-the-art SR algorithms with 4$\times$ scale factor, FDSR outperforms the detection performance mAP on MS COCO validation, VOC2007 databases with good generalization to other detection networks.

Image Reconstruction Object +3

Semi-Sequential Probabilistic Model For Indoor Localization Enhancement

no code implementations8 Jan 2020 Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy

In contrast, SSP leverages the information of the previous position to determine the probable location since the user's speed in an indoor environment is bounded and locations near the previous one have higher probability than the other locations.

Indoor Localization Position

Localized Meta-Learning: A PAC-Bayes Analysis for Meta-Leanring Beyond Global Prior

no code implementations25 Sep 2019 Chenghao Liu, Tao Lu, Doyen Sahoo, Yuan Fang, Steven C.H. Hoi.

Meta-learning methods learn the meta-knowledge among various training tasks and aim to promote the learning of new tasks under the task similarity assumption.


Omni SCADA Intrusion Detection Using Deep Learning Algorithms

no code implementations6 Aug 2019 Jun Gao, Luyun Gan, Fabiola Buschendorf, Liao Zhang, Hua Liu, Peixue Li, Xiaodai Dong, Tao Lu

We investigate deep learning based omni intrusion detection system (IDS) for supervisory control and data acquisition (SCADA) networks that are capable of detecting both temporally uncorrelated and correlated attacks.

Intrusion Detection

Multi-label Classification with Optimal Thresholding for Multi-composition Spectroscopic Analysis

no code implementations24 Jun 2019 Luyun Gan, Brosnan Yuen, Tao Lu

In this paper, we implement multi-label neural networks with optimal thresholding to identify gas species among a multi gas mixture in a cluttered environment.

General Classification Multi-Label Classification

Compositional Coding for Collaborative Filtering

1 code implementation9 May 2019 Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi

However, CF with binary codes naturally suffers from low accuracy due to limited representation capability in each bit, which impedes it from modeling complex structure of the data.

Collaborative Filtering Recommendation Systems

Localizing Discriminative Visual Landmarks for Place Recognition

no code implementations14 Apr 2019 Zhe Xin, Yinghao Cai, Tao Lu, Xiaoxia Xing, Shaojun Cai, Jixiang Zhang, Yiping Yang, Yanqing Wang

The fundamental problem of visual place recognition is generating robust image representations which are not only insensitive to environmental changes but also distinguishable to different places.

Visual Place Recognition

Hindsight Generative Adversarial Imitation Learning

no code implementations19 Mar 2019 Naijun Liu, Tao Lu, Yinghao Cai, Boyao Li, Shuo Wang

Combining hindsight idea with the generative adversarial imitation learning (GAIL) framework, we realize implementing imitation learning successfully in cases of expert demonstration data are not available.

Imitation Learning Reinforcement Learning (RL)

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