Search Results for author: Ran Tao

Found 47 papers, 9 papers with code

Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation

no code implementations3 Apr 2024 Yizhu Liu, Ran Tao, Shengyu Guo, Yifan Yang

To tackle above two problems, we first take query concatenated with the query-based summary and the document summary without query as the input of topic relevance model, which can help model learn the relevance degree between query and the core topic of document.

Data Augmentation Language Modelling +1

The New Agronomists: Language Models are Experts in Crop Management

1 code implementation28 Mar 2024 Jing Wu, Zhixin Lai, Suiyao Chen, Ran Tao, Pan Zhao, Naira Hovakimyan

A novel aspect of our approach is the conversion of these state variables into more informative language, facilitating the language model's capacity to understand states and explore optimal management practices.

Language Modelling Management +2

Learning with Noisy Foundation Models

no code implementations11 Mar 2024 Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj

Foundation models are usually pre-trained on large-scale datasets and then adapted to downstream tasks through tuning.

Single-shot Phase Retrieval from a Fractional Fourier Transform Perspective

no code implementations18 Nov 2023 Yixiao Yang, Ran Tao, Kaixuan Wei, Jun Shi

The realm of classical phase retrieval concerns itself with the arduous task of recovering a signal from its Fourier magnitude measurements, which are fraught with inherent ambiguities.


Concealed Electronic Countermeasures of Radar Signal with Adversarial Examples

no code implementations12 Oct 2023 Ruinan Ma, Canjie Zhu, Mingfeng Lu, Yunjie Li, Yu-an Tan, Ruibin Zhang, Ran Tao

We first propose an attack pipeline under the time-frequency images scenario and DITIMI-FGSM attack algorithm with high transferability.

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks

no code implementations29 Sep 2023 Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj

This paper aims to understand the nature of noise in pre-training datasets and to mitigate its impact on downstream tasks.

Robust Adaptive MPC Using Uncertainty Compensation

no code implementations24 Sep 2023 Ran Tao, Pan Zhao, Ilya Kolmanovsky, Naira Hovakimyan

The performance bounds provided by the L1AC are then used to tighten the state and control constraints of the actual system, and a model predictive controller is designed for the nominal system with the tightened constraints.

Model Predictive Control

Backup Plan Constrained Model Predictive Control with Guaranteed Stability

no code implementations9 Jun 2023 Ran Tao, Hunmin Kim, Hyung-Jin Yoon, Wenbin Wan, Naira Hovakimyan, Lui Sha, Petros Voulgaris

To include this new safety concept in control problems, we formulate a feasibility maximization problem aiming to maximize the feasibility of the primary and alternative missions.

Autonomous Vehicles Computational Efficiency +1

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

4 code implementations26 Jan 2023 Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides

The critical challenge of Semi-Supervised Learning (SSL) is how to effectively leverage the limited labeled data and massive unlabeled data to improve the model's generalization performance.

imbalanced classification

Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization

no code implementations CVPR 2023 Ran Tao, Hao Chen, Marios Savvides

This observation further motivates us to propose the Transductive Fine-tuning with Margin-based uncertainty weighting and Probability regularization (TF-MP), which learns a more balanced class marginal distribution.

Few-Shot Learning

Optimizing Crop Management with Reinforcement Learning and Imitation Learning

no code implementations20 Sep 2022 Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Ferreira, Zahra Kalantari, Naira Hovakimyan

Moreover, the partial-observation management policies are directly deployable in the real world as they use readily available information.

Imitation Learning Management +2

LO-Det: Lightweight Oriented Object Detection in Remote Sensing Images

no code implementations16 Sep 2022 Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, Feiran Jie, Ran Tao

Specifically, a channel separation-aggregation (CSA) structure is designed to simplify the complexity of stacked separable convolutions, and a dynamic receptive field (DRF) mechanism is developed to maintain high accuracy by customizing the convolution kernel and its perception range dynamically when reducing the network complexity.

object-detection Object Detection +1

Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images

1 code implementation6 Sep 2022 Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, Ran Tao

Specifically, sampling positions of the localization convolution in TS-Conv are supervised by the oriented bounding box (OBB) prediction associated with spatial coordinates, while sampling positions and convolutional kernel of the classification convolution are designed to be adaptively adjusted according to different orientations for improving the orientation robustness of features.

object-detection Object Detection In Aerial Images +1

Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification

no code implementations6 Sep 2022 Yuxiang Zhang, Mengmeng Zhang, Wei Li, Shuai Wang, Ran Tao

Text information including extensive prior knowledge about land cover classes has been ignored in hyperspectral image classification (HSI) tasks.

Contrastive Learning Domain Generalization +1

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets

no code implementations15 Aug 2022 Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

Beyond classification, Conv-Adapter can generalize to detection and segmentation tasks with more than 50% reduction of parameters but comparable performance to the traditional full fine-tuning.

Transfer Learning

MPANet: Multi-Patch Attention For Infrared Small Target object Detection

no code implementations5 Jun 2022 Ao Wang, Wei Li, Xin Wu, Zhanchao Huang, Ran Tao

To this end, a multi-patch attention network (MPANet) based on the axial-attention encoder and the multi-scale patch branch (MSPB) structure is proposed.

object-detection Object Detection

Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations

no code implementations21 Apr 2022 Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan

Nitrogen (N) management is critical to sustain soil fertility and crop production while minimizing the negative environmental impact, but is challenging to optimize.

Management reinforcement-learning +1

Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling

no code implementations7 Apr 2022 Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides

Class-agnostic bias is defined as the distribution shifting introduced by domain difference, which we propose Distribution Calibration Module(DCM) to reduce.

Few-Shot Learning

MS-HLMO: Multi-scale Histogram of Local Main Orientation for Remote Sensing Image Registration

no code implementations1 Apr 2022 Chenzhong Gao, Wei Li, Ran Tao, Qian Du

Considering the characteristics and differences of multi-source remote sensing images, a feature-based registration algorithm named Multi-scale Histogram of Local Main Orientation (MS-HLMO) is proposed.

Image Registration

A Paired Phase and Magnitude Reconstruction for Advanced Diffusion-Weighted Imaging

no code implementations28 Mar 2022 Chen Qian, Zi Wang, Xinlin Zhang, Boxuan Shi, Boyu Jiang, Ran Tao, Jing Li, Yuwei Ge, Taishan Kang, Jianzhong Lin, Di Guo, Xiaobo Qu

Conclusion: The explicit phase model PAIR with complementary priors has a good performance on challenging reconstructions under inter-shot motions between shots and a low signal-to-noise ratio.

DeepSSN: a deep convolutional neural network to assess spatial scene similarity

1 code implementation7 Feb 2022 Danhuai Guo, Shiyin Ge, Shu Zhang, Song Gao, Ran Tao, Yangang Wang

Spatial-query-by-sketch is an intuitive tool to explore human spatial knowledge about geographic environments and to support communication with scene database queries.

Data Augmentation Information Retrieval +1

Deep Learning for UAV-based Object Detection and Tracking: A Survey

no code implementations25 Oct 2021 Xin Wu, Wei Li, Danfeng Hong, Ran Tao, Qian Du

Owing to effective and flexible data acquisition, unmanned aerial vehicle (UAV) has recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS).

Management Object +3

A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection

1 code implementation27 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.

Ranked #31 on Object Detection In Aerial Images on DOTA (using extra training data)

object-detection Object Detection In Aerial Images +1

Dynamic Proximal Unrolling Network for Compressive Imaging

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

In this paper, a dynamic proximal unrolling network (dubbed DPUNet) was proposed, which can handle a variety of measurement matrices via one single model without retraining.

Compressive Sensing Rolling Shutter Correction

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 object-detection +1

Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification

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 Hyperspectral Image 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.

Novel Object Detection object-detection +1

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

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