no code implementations • 3 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.
1 code implementation • 28 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.
no code implementations • 11 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.
no code implementations • 18 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.
no code implementations • 12 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.
1 code implementation • 30 Sep 2023 • Zhiyong Yang, Yuelong Zhu, Xiaoqin Zeng, Jun Zong, Xiuheng Liu, Ran Tao, Xiaofei Cong, YuFeng Yu
First, we built a river ice semantic segmentation dataset IPC_RI_SEG using a fixed camera and covering the entire ice melting process of the river.
no code implementations • 29 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.
no code implementations • 24 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.
no code implementations • 9 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.
no code implementations • 22 May 2023 • Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
In this paper, we introduce imprecise label learning (ILL), a framework for the unification of learning with various imprecise label configurations.
Ranked #1 on Learning with noisy labels on mini WebVision 1.0
4 code implementations • 26 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.
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.
no code implementations • 20 Oct 2022 • Chen Qian, Yuncheng Gao, Mingyang Han, Zi Wang, Dan Ruan, Yu Shen, Yaping Wu, Yirong Zhou, Chengyan Wang, Boyu Jiang, Ran Tao, Zhigang Wu, Jiazheng Wang, Liuhong Zhu, Yi Guo, Taishan Kang, Jianzhong Lin, Tao Gong, Chen Yang, Guoqiang Fei, Meijin Lin, Di Guo, Jianjun Zhou, Meiyun Wang, Xiaobo Qu
In conclusion, PIDD presents a novel deep learning framework by exploiting the power of MRI physics, providing a cost-effective and explainable way to break the data bottleneck in deep learning medical imaging.
no code implementations • 20 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.
no code implementations • 16 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.
1 code implementation • 6 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.
no code implementations • 6 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.
no code implementations • 4 Sep 2022 • Yuxiang Zhang, Wei Li, Weidong Sun, Ran Tao, Qian Du
Currently, cross-scene hyperspectral image (HSI) classification has drawn increasing attention.
no code implementations • 15 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.
4 code implementations • 12 Aug 2022 • Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, RenJie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
We further provide the pre-trained versions of the state-of-the-art neural models for CV tasks to make the cost affordable for further tuning.
1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2022 • Yuxiang Zhang, Wei Li, Mengmeng Zhang, Shuai Wang, Ran Tao, Qian Du
The IDE-block is used to characterize and aggregate the intradomain nonlocal relationships and the interdomain feature and distribution similarities are captured in the CSA-block.
no code implementations • 5 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.
no code implementations • 21 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.
no code implementations • 7 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.
no code implementations • 1 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.
no code implementations • 28 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.
1 code implementation • 7 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.
no code implementations • 25 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).
1 code implementation • 27 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)
no code implementations • 23 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.
no code implementations • CVPR 2021 • Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
We propose a method to disentangle linear-encoded facial semantics from StyleGAN without external supervision.
no code implementations • 1 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.
no code implementations • 16 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.
no code implementations • 5 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.
no code implementations • 27 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).
no code implementations • 9 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.
no code implementations • 23 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.
no code implementations • 3 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.
no code implementations • ECCV 2018 • Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip Torr, Efstratios Gavves
We introduce the OxUvA dataset and benchmark for evaluating single-object tracking algorithms.
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.
1 code implementation • 28 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.
no code implementations • CVPR 2017 • Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders
This paper strives to track a target object in a video.
Ranked #17 on Referring Expression Segmentation on J-HMDB
no code implementations • 23 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.
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.
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.
no code implementations • CVPR 2014 • Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W. M. Smeulders
This paper aims for generic instance search from a single example.