Search Results for author: Tingfa Xu

Found 29 papers, 10 papers with code

PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis

1 code implementation22 Jan 2024 Jianan Li, Jie Wang, Tingfa Xu

Efficient analysis of point clouds holds paramount significance in real-world 3D applications.

MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection

no code implementations22 Jan 2024 Jianan Li, Shaocong Dong, Lihe Ding, Tingfa Xu

To mitigate the computational complexity associated with applying a window-based transformer in 3D voxel space, we introduce a novel Chessboard Sampling strategy and implement voxel sampling and gathering operations sparsely using a hash map.

3D Object Detection Object +2

MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation

no code implementations22 Jan 2024 Shenwang Jiang, Jianan Li, Ying Wang, Wenxuan Wu, Jizhou Zhang, Bo Huang, Tingfa Xu

Noisy labels, inevitably existing in pseudo segmentation labels generated from weak object-level annotations, severely hampers model optimization for semantic segmentation.

Meta-Learning Model Optimization +2

Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost

1 code implementation14 Dec 2023 Haolin Qin, Daquan Zhou, Tingfa Xu, Ziyang Bian, Jianan Li

Accordingly, we propose a novel factorization self-attention mechanism (FaSA) that enjoys both the advantages of local window cost and long-range dependency modeling capability.

BACTrack: Building Appearance Collection for Aerial Tracking

no code implementations11 Dec 2023 Xincong Liu, Tingfa Xu, Ying Wang, Zhinong Yu, Xiaoying Yuan, Haolin Qin, Jianan Li

At the same time, the appearance discriminator employs an online adaptive template-update strategy to ensure that the collected multiple templates remain reliable and diverse, allowing them to closely follow rapid changes in the target's appearance and suppress background interference during tracking.

Template Matching

Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction

no code implementations2 Dec 2023 Huan Chen, Wangcai Zhao, Tingfa Xu, Shiyun Zhou, Peifu Liu, Jianan Li

The Fourier coordinate encoder enhances the SINR's ability to emphasize high-frequency components, while the spectral scale factor module guides the SINR to adapt to the variable number of spectral channels.

Image Reconstruction Spectral Super-Resolution +1

Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection

1 code implementation2 Dec 2023 Peifu Liu, Tingfa Xu, Huan Chen, Shiyun Zhou, Haolin Qin, Jianan Li

The Spectral Saliency approximates the region of salient objects, while the Spectral Edge captures edge information of salient objects.

object-detection Object Detection +1

RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging

1 code implementation6 Feb 2023 Shiyun Zhou, Tingfa Xu, Shaocong Dong, Jianan Li

The regional dynamic block guides the network to adjust the transformation domain for different regions.

Spectral Reconstruction

Rethinking Few-Shot Medical Segmentation: A Vector Quantization View

no code implementations CVPR 2023 Shiqi Huang, Tingfa Xu, Ning Shen, Feng Mu, Jianan Li

The existing few-shot medical segmentation networks share the same practice that the more prototypes, the better performance.

Quantization Segmentation

FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection

no code implementations22 Sep 2022 Xinli Xu, Shaocong Dong, Lihe Ding, Jie Wang, Tingfa Xu, Jianan Li

Existing 3D detectors significantly improve the accuracy by adopting a two-stage paradigm which merely relies on LiDAR point clouds for 3D proposal refinement.

3D Object Detection Autonomous Driving +2

RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation

no code implementations26 Jan 2022 Shiqi Huang, Jianan Li, Yuze Xiao, Ning Shen, Tingfa Xu

Automatic diabetic retinopathy (DR) lesions segmentation makes great sense of assisting ophthalmologists in diagnosis.

Lesion Detection Lesion Segmentation +1

Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data

1 code implementation30 Dec 2021 Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu

In practice, however, biased samples with corrupted labels and of tailed classes commonly co-exist in training data.

Attribute Meta-Learning

PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds

no code implementations28 Nov 2021 Jie Wang, Jianan Li, Lihe Ding, Ying Wang, Tingfa Xu

Fine-grained geometry, captured by aggregation of point features in local regions, is crucial for object recognition and scene understanding in point clouds.

3D Shape Classification graph construction +4

Pyramid Correlation based Deep Hough Voting for Visual Object Tracking

no code implementations15 Oct 2021 Ying Wang, Tingfa Xu, Jianan Li, Shenwang Jiang, Junjie Chen

Through experiments we find that, without regression, the performance could be equally promising as long as we delicately design the network to suit the training objective.

regression Visual Object Tracking

Updatable Siamese Tracker with Two-stage One-shot Learning

no code implementations30 Apr 2021 Xinglong Sun, Guangliang Han, Lihong Guo, Tingfa Xu, Jianan Li, Peixun Liu

Offline Siamese networks have achieved very promising tracking performance, especially in accuracy and efficiency.

Object One-Shot Learning +1

Attribute-conditioned Layout GAN for Automatic Graphic Design

no code implementations11 Sep 2020 Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu

In this paper, we introduce Attribute-conditioned Layout GAN to incorporate the attributes of design elements for graphic layout generation by forcing both the generator and the discriminator to meet attribute conditions.


Human-Aware Motion Deblurring

1 code implementation ICCV 2019 Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao

This paper proposes a human-aware deblurring model that disentangles the motion blur between foreground (FG) humans and background (BG).

Deblurring Image Deblurring

Exploiting Semantics for Face Image Deblurring

no code implementations19 Jan 2020 Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang

Specifically, we first use a coarse deblurring network to reduce the motion blur on the input face image.

Deblurring Face Recognition +1

Stochastic Channel Decorrelation Network and Its Application to Visual Tracking

no code implementations3 Jul 2018 Jie Guo, Tingfa Xu, Shenwang Jiang, Ziyi Shen

Deep convolutional neural networks (CNNs) have dominated many computer vision domains because of their great power to extract good features automatically.

Visual Tracking

Deep Semantic Face Deblurring

no code implementations CVPR 2018 Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang

In this paper, we present an effective and efficient face deblurring algorithm by exploiting semantic cues via deep convolutional neural networks (CNNs).

Deblurring Face Recognition

Perceptual Generative Adversarial Networks for Small Object Detection

no code implementations CVPR 2017 Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan

In this work, we address the small object detection problem by developing a single architecture that internally lifts representations of small objects to "super-resolved" ones, achieving similar characteristics as large objects and thus more discriminative for detection.

Generative Adversarial Network Object +2

Multi-stage Object Detection with Group Recursive Learning

no code implementations18 Aug 2016 Jianan Li, Xiaodan Liang, Jianshu Li, Tingfa Xu, Jiashi Feng, Shuicheng Yan

Most of existing detection pipelines treat object proposals independently and predict bounding box locations and classification scores over them separately.

Object object-detection +4

Attentive Contexts for Object Detection

no code implementations24 Mar 2016 Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan

We provide preliminary answers to these questions through developing a novel Attention to Context Convolution Neural Network (AC-CNN) based object detection model.

Object object-detection +1

Scale-aware Fast R-CNN for Pedestrian Detection

no code implementations28 Oct 2015 Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, Jiashi Feng, Shuicheng Yan

Taking pedestrian detection as an example, we illustrate how we can leverage this philosophy to develop a Scale-Aware Fast R-CNN (SAF R-CNN) framework.

Pedestrian Detection Philosophy

Cannot find the paper you are looking for? You can Submit a new open access paper.