Search Results for author: Boyang Wang

Found 19 papers, 6 papers with code

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding

no code implementations9 Oct 2024 Jingyang Deng, Zhengyang Shen, Boyang Wang, Lixin Su, Suqi Cheng, Ying Nie, Junfeng Wang, Dawei Yin, Jinwen Ma

The development of Long-Context Large Language Models (LLMs) has markedly advanced natural language processing by facilitating the process of textual data across long documents and multiple corpora.

Language Modeling Language Modelling +3

All rivers run into the sea: Unified Modality Brain-like Emotional Central Mechanism

no code implementations22 Jul 2024 Xinji Mai, Junxiong Lin, Haoran Wang, Zeng Tao, Yan Wang, Shaoqi Yan, Xuan Tong, Jiawen Yu, Boyang Wang, Ziheng Zhou, Qing Zhao, Shuyong Gao, Wenqiang Zhang

In the field of affective computing, fully leveraging information from a variety of sensory modalities is essential for the comprehensive understanding and processing of human emotions.

Dynamic Facial Expression Recognition Emotion Classification +1

D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition

no code implementations24 Jun 2024 Haoran Wang, Xinji Mai, Zeng Tao, Xuan Tong, Junxiong Lin, Yan Wang, Jiawen Yu, Boyang Wang, Shaoqi Yan, Qing Zhao, Ziheng Zhou, Shuyong Gao, Wenqiang Zhang

The contemporary state-of-the-art of Dynamic Facial Expression Recognition (DFER) technology facilitates remarkable progress by deriving emotional mappings of facial expressions from video content, underpinned by training on voluminous datasets.

Dynamic Facial Expression Recognition Facial Expression Recognition

Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution

no code implementations24 Jun 2024 Junxiong Lin, Zeng Tao, Xuan Tong, Xinji Mai, Haoran Wang, Boyang Wang, Yan Wang, Qing Zhao, Jiawen Yu, Yuxuan Lin, Shaoqi Yan, Shuyong Gao, Wenqiang Zhang

To extract Uncertainty-based Degradation Representation from LR images, the AUDE utilizes the Self-supervised Uncertainty Contrast module with Uncertainty Suppression Loss to suppress the inherent model uncertainty of the Degradation Extractor.

Blind Super-Resolution Image Super-Resolution +1

Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission

1 code implementation27 Apr 2024 Mingyu Yang, Bowen Liu, Boyang Wang, Hun-Seok Kim

In the following diffusion step, DiffJSCC uses the derived multimodal features, together with channel state information such as the signal-to-noise ratio (SNR), as conditions to guide the denoising diffusion process, which converts the initial random noise to the final reconstruction.

Denoising SSIM

APISR: Anime Production Inspired Real-World Anime Super-Resolution

1 code implementation CVPR 2024 Boyang Wang, Fengyu Yang, Xihang Yu, Chao Zhang, Hanbin Zhao

In addition, we identify two anime-specific challenges of distorted and faint hand-drawn lines and unwanted color artifacts.

Super-Resolution

VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data

1 code implementation2 Nov 2023 Boyang Wang, Bowen Liu, Shiyu Liu, Fengyu Yang

In this work, we for the first time, present a video compression-based degradation model to synthesize low-resolution image data in the blind SISR task.

Image Compression Image Super-Resolution +3

M2C: Towards Automatic Multimodal Manga Complement

1 code implementation26 Oct 2023 Hongcheng Guo, Boyang Wang, Jiaqi Bai, Jiaheng Liu, Jian Yang, Zhoujun Li

In other words, the Multimodal Manga Complement (M2C) task has not been investigated, which aims to handle the aforementioned issues by providing a shared semantic space for vision and language understanding.

Network pharmacology on the mechanism of Yi Qi Tong Qiao Pill inhibiting allergic rhinitis

no code implementations6 May 2023 Boyang Wang, DingFan Zhang, Tingyu Zhang, Chayanis Sutcharitchan, Jianlin Hua, Dongfang Hua, Bo Zhang, Shao Li

Network target analysis was performed to explore the potential mechanisms of YQTQP in the treatment of AR and the mechanisms were classified into different modules according to their biological functions.

A network-based biomarkers discovery of Cold/Hot ZHENG chronic gastritis and Cold/Hot herbs of formulae

no code implementations10 Feb 2023 Boyang Wang, Pan Chen, Peng Zhang, Shao Li

And we collected 25 formulae (with traditional effects related to Cold/Hot ZHENG) for CG and corresponding 89 Cold/Hot herbs (including Warm/Cool herbs) to discover features and construct target networks of Cold/Hot herbs on the basis of network target and enrichment analysis.

A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability

no code implementations22 Aug 2020 Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao

This dataset has 1, 842 images with pixel-level DR-related lesion annotations, and 1, 000 images with image-level labels graded by six board-certified ophthalmologists with intra-rater consistency.

Lesion Segmentation Transfer Learning

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

no code implementations10 Dec 2019 Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Ling Shao

In this paper, we propose a diabetic retinopathy generative adversarial network (DR-GAN) to synthesize high-resolution fundus images which can be manipulated with arbitrary grading and lesion information.

Data Augmentation Generative Adversarial Network +1

Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces

4 code implementations10 Jul 2019 Huazhu Fu, Boyang Wang, Jianbing Shen, Shanshan Cui, Yanwu Xu, Jiang Liu, Ling Shao

Retinal image quality assessment (RIQA) is essential for controlling the quality of retinal imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated analysis systems.

Image Quality Assessment

Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications

no code implementations2 Jun 2018 Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu

Therefore, the goal of this paper is to generate the prediction results of lateral commands with confidence regions according to the reference based on the learned motion primitives.

Clustering

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