Search Results for author: Yuan Hu

Found 19 papers, 4 papers with code

Viewpoint Integration and Registration with Vision Language Foundation Model for Image Change Understanding

no code implementations15 Sep 2023 Xiaonan Lu, Jianlong Yuan, Ruigang Niu, Yuan Hu, Fan Wang

Therefore, they cannot be directly applied to cope with image change understanding (ICU), which requires models to capture actual changes between multiple images and describe them in language.

RSGPT: A Remote Sensing Vision Language Model and Benchmark

2 code implementations28 Jul 2023 Yuan Hu, Jianlong Yuan, Congcong Wen, Xiaonan Lu, Xiang Li

This dataset consists of human-annotated captions and visual question-answer pairs, allowing for a comprehensive assessment of VLMs in the context of RS.

Image Captioning Language Modelling

The Implied Views of Bond Traders on the Spot Equity Market

no code implementations28 Jun 2023 Yifan He, Yuan Hu, Svetlozar Rachev

This paper introduces a pricing algorithm for this bond and presents a formula that can be used to ascertain its real value.

SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting

no code implementations5 Jun 2023 Lei Chen, Fei Du, Yuan Hu, Fan Wang, Zhibin Wang

Recurrent predictions for future atmospheric fields are firstly performed at 1. 40625-degree resolution, and then a diffusion-based super-resolution model is leveraged to recover the high spatial resolution and finer-scale atmospheric details.

Super-Resolution Weather Forecasting

Vision-Language Models in Remote Sensing: Current Progress and Future Trends

3 code implementations9 May 2023 Xiang Li, Congcong Wen, Yuan Hu, Zhenghang Yuan, Xiao Xiang Zhu

Existing AI-related research in remote sensing primarily focuses on visual understanding tasks while neglecting the semantic understanding of the objects and their relationships.

Image Captioning Image Generation +8

Unifying Market Microstructure and Dynamic Asset Pricing

no code implementations5 Apr 2023 Davide Lauria, W. Brent Lindquist, Svetlozar T. Rachev, Yuan Hu

We introduce a discrete binary tree for pricing contingent claims with the underlying security prices exhibiting history dependence characteristic of that induced by market microstructure phenomena.

Option pricing using a skew random walk pricing tree

no code implementations29 Mar 2023 Yuan Hu, W. Brent Lindquist, Svetlozar T. Rachev, Frank J. Fabozzi

Motivated by the Corns-Satchell, continuous time, option pricing model, we develop a binary tree pricing model with underlying asset price dynamics following It\^o-Mckean skew Brownian motion.

PolyBuilding: Polygon Transformer for End-to-End Building Extraction

no code implementations3 Nov 2022 Yuan Hu, Zhibin Wang, Zhou Huang, Yu Liu

Given a set of polygon queries, the model learns the relations among them and encodes context information from the image to predict the final set of building polygons with fixed vertex numbers.

Decoder

ESG-valued discrete option pricing in complete markets

no code implementations13 Sep 2022 Yuan Hu, W. Brent Lindquist, Svetlozar T. Rachev

We consider option pricing using replicating binomial trees, with a two fold purpose.

SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation

no code implementations26 May 2022 Yuan Hu, Lei Chen, Zhibin Wang, Hao Li

We also compare four categories of perturbation methods for ensemble forecasting, i. e. fixed distribution perturbation, learned distribution perturbation, MC dropout, and multi model ensemble.

Weather Forecasting

Market Complete Option Valuation using a Jarrow-Rudd Pricing Tree with Skewness and Kurtosis

no code implementations16 Jun 2021 Yuan Hu, Abootaleb Shirvani, W. Brent Lindquist, Frank J. Fabozzi, Svetlozar T. Rachev

Applying the Cherny-Shiryaev-Yor invariance principle, we introduce a generalized Jarrow-Rudd (GJR) option pricing model with uncertainty driven by a skew random walk.

Portfolio Optimization Constrained by Performance Attribution

no code implementations7 Mar 2021 Yuan Hu, W. Brent Lindquist

This paper investigates performance attribution measures as a basis for constraining portfolio optimization.

Portfolio Optimization

Option Pricing Incorporating Factor Dynamics in Complete Markets

no code implementations16 Nov 2020 Yuan Hu, Abootaleb Shirvani, W. Brent Lindquist, Frank J. Fabozzi, Svetlozar T. Rachev

Using the Donsker-Prokhorov invariance principle we extend the Kim-Stoyanov-Rachev-Fabozzi option pricing model to allow for variably-spaced trading instances, an important consideration for short-sellers of options.

GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs

no code implementations25 Nov 2019 Chunlei Liu, Wenrui Ding, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Guodong Guo

The BGA method is proposed to modify the binary process of GBCNs to alleviate the local minima problem, which can significantly improve the performance of 1-bit DCNNs.

Face Recognition Object Recognition +1

RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs

no code implementations21 Aug 2019 Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, Guodong Guo

Binarized convolutional neural networks (BCNNs) are widely used to improve memory and computation efficiency of deep convolutional neural networks (DCNNs) for mobile and AI chips based applications.

Binarization Object Tracking

Panoptic Edge Detection

no code implementations3 Jun 2019 Yuan Hu, Yingtian Zou, Jiashi Feng

In this work, we address a new finer-grained task, termed panoptic edge detection (PED), which aims at predicting semantic-level boundaries for stuff categories and instance-level boundaries for instance categories, in order to provide more comprehensive and unified scene understanding from the perspective of edges. We then propose a versatile framework, Panoptic Edge Network (PEN), which aggregates different tasks of object detection, semantic and instance edge detection into a single holistic network with multiple branches.

Edge Detection object-detection +2

Dynamic Feature Fusion for Semantic Edge Detection

1 code implementation25 Feb 2019 Yuan Hu, Yunpeng Chen, Xiang Li, Jiashi Feng

In this work, we propose a novel dynamic feature fusion strategy that assigns different fusion weights for different input images and locations adaptively.

Edge Detection

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