Search Results for author: Haoyuan Wang

Found 9 papers, 2 papers with code

Deep Learning Enhanced Multivariate GARCH

no code implementations3 Jun 2025 Haoyuan Wang, Chen Liu, Minh-Ngoc Tran, Chao Wang

This paper introduces a novel multivariate volatility modeling framework, named Long Short-Term Memory enhanced BEKK (LSTM-BEKK), that integrates deep learning into multivariate GARCH processes.

Deep Learning

Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement Learning

no code implementations17 Feb 2025 Haoyuan Wang, Zihao Dong, Hongliang Lei, Zejia Zhang, Weizhuang Shi, Wei Luo, Weiwei Wan, Jian Huang

To reduce the human labor cost of demonstration collection, we proposed a low-cost demonstration collection method based on Nonlinear Model Predictive Control (NMPC).

Deep Reinforcement Learning Deformable Object Manipulation +2

Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields

no code implementations CVPR 2024 Haoyuan Wang, WenBo Hu, Lei Zhu, Rynson W. H. Lau

Our method has two stages: the geometry of the target object and the pre-filtered environmental radiance fields are reconstructed in the first stage, and materials of the target object are estimated in the second stage with the proposed NeP and material-aware cone sampling strategy.

Inverse Rendering NeRF +1

Lighting up NeRF via Unsupervised Decomposition and Enhancement

1 code implementation ICCV 2023 Haoyuan Wang, Xiaogang Xu, Ke Xu, Rynson WH. Lau

Neural Radiance Field (NeRF) is a promising approach for synthesizing novel views, given a set of images and the corresponding camera poses of a scene.

Low-Light Image Enhancement NeRF

Local Color Distributions Prior for Image Enhancement

2 code implementations ECCV 2022 Haoyuan Wang, Ke Xu, and Rynson W.H. Lau

Existing image enhancement methods are typically designed to address either the over- or under-exposure problem in the input image.

Low-Light Image Enhancement

Multi-Granularity Modularized Network for Abstract Visual Reasoning

no code implementations9 Jul 2020 Xiangru Tang, Haoyuan Wang, Xiang Pan, Jiyang Qi

Abstract visual reasoning connects mental abilities to the physical world, which is a crucial factor in cognitive development.

Visual Grounding Visual Reasoning

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