Search Results for author: Ran Tao

Found 18 papers, 1 papers with code

A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection

no code implementations27 Sep 2021 Zhanchao Huang, Wei Li, Xiang-Gen Xia, Ran Tao

Specifically, an anchor-free object-adaptation label assignment (OLA) strategy is presented to define the positive candidates based on two-dimensional (2-D) oriented Gaussian heatmaps, which reflect the shape and direction features of arbitrary-oriented objects.

Object Detection

Dynamic Proximal Unrolling Network for Compressive Sensing Imaging

no code implementations23 Jul 2021 Yixiao Yang, Ran Tao, Kaixuan Wei, Ying Fu

Recovering an underlying image from under-sampled measurements, Compressive Sensing Imaging (CSI) is a challenging problem and has many practical applications.

Compressive Sensing

Improve Novel Class Generalization By Adaptive Feature Distribution for Few-Shot Learning

no code implementations1 Jan 2021 Ran Tao, Marios Savvides

By addressing the difference between feature distributions of base and novel classes, we propose the adaptive feature distribution method which is to finetune one scale vector using the support set of novel classes.

Few-Shot Learning

Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network

no code implementations16 Jul 2020 Xin Wu, Wei Li, Danfeng Hong, Jiaojiao Tian, Ran Tao, Qian Du

In addition, the generalization ability of Ms-AFt in dense remote sensing scenes is further verified on stereo aerial imagery of a large camping site.

Transfer Learning

Model Decay in Long-Term Tracking

no code implementations5 Aug 2019 Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders

Updating the tracker model with adverse bounding box predictions adds an unavoidable bias term to the learning.

Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

no code implementations27 May 2019 Xin Wu, Danfeng Hong, Jocelyn Chanussot, Yang Xu, Ran Tao, Yue Wang

To this end, we propose a novel and efficient framework for geospatial object detection in this letter, called Fourier-based rotation-invariant feature boosting (FRIFB).

Object Detection

Feature Extraction and Classification Based on Spatial-Spectral ConvLSTM Neural Network for Hyperspectral Images

no code implementations9 May 2019 Wen-Shuai Hu, Heng-Chao Li, Lei Pan, Wei Li, Ran Tao, Qian Du

Particularly, Long Short-Term Memory (LSTM), as a special deep learning structure, has shown great ability in modeling long-term dependencies in the time dimension of video or the spectral dimension of HSIs.

General Classification

ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

no code implementations23 Jan 2019 Xin Wu, Danfeng Hong, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao

To this end, we propose a novel object detection framework, called optical remote sensing imagery detector (ORSIm detector), integrating diverse channel features extraction, feature learning, fast image pyramid matching, and boosting strategy.

Object Detection

Estimating Small Differences in Car-Pose from Orbits

no code implementations3 Sep 2018 Berkay Kicanaoglu, Ran Tao, Arnold W. M. Smeulders

The generated orbit in the latent space records all the differences in pose in the original observational space, and as a result, the method is capable of finding subtle differences in pose.

Seeing Small Faces from Robust Anchor's Perspective

no code implementations CVPR 2018 Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides

This paper introduces a novel anchor design to support anchor-based face detection for superior scale-invariant performance, especially on tiny faces.

Face Detection

Tracking for Half an Hour

1 code implementation28 Nov 2017 Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders

Long-term tracking requires extreme stability to the multitude of model updates and robustness to the disappearance and loss of the target as such will inevitably happen.

Generic Instance Search and Re-identification from One Example via Attributes and Categories

no code implementations23 May 2016 Ran Tao, Arnold W. M. Smeulders, Shih-Fu Chang

Searching among instances from the same category as the query, the category-specific attributes outperform existing approaches by a large margin on shoes and cars and perform on par with the state-of-the-art on buildings.

Instance Search Person Re-Identification

Siamese Instance Search for Tracking

no code implementations CVPR 2016 Ran Tao, Efstratios Gavves, Arnold W. M. Smeulders

In this paper we present a tracker, which is radically different from state-of-the-art trackers: we apply no model updating, no occlusion detection, no combination of trackers, no geometric matching, and still deliver state-of-the-art tracking performance, as demonstrated on the popular online tracking benchmark (OTB) and six very challenging YouTube videos.

Geometric Matching Instance Search

Attributes and Categories for Generic Instance Search From One Example

no code implementations CVPR 2015 Ran Tao, Arnold W. M. Smeulders, Shih-Fu Chang

This paper aims for generic instance search from one example where the instance can be an arbitrary 3D object like shoes, not just near-planar and one-sided instances like buildings and logos.

Instance Search

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