Search Results for author: Hongyu Yang

Found 29 papers, 16 papers with code

ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis

1 code implementation21 Apr 2024 Zichen Tang, Hongyu Yang

In this framework, we utilize an expressive generator to synthesize stylized faces and a triple-branch discriminator module to improve the visual quality and style consistency of the generated faces.

DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling

no code implementations14 Apr 2024 Xuening Yuan, Hongyu Yang, Yueming Zhao, Di Huang

Recent progress in text-to-3D creation has been propelled by integrating the potent prior of Diffusion Models from text-to-image generation into the 3D domain.

Text to 3D Text-to-Image Generation

InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization

1 code implementation6 Apr 2024 Xiefan Guo, Jinlin Liu, Miaomiao Cui, Jiankai Li, Hongyu Yang, Di Huang

Recent strides in the development of diffusion models, exemplified by advancements such as Stable Diffusion, have underscored their remarkable prowess in generating visually compelling images.

valid

Deep Common Feature Mining for Efficient Video Semantic Segmentation

no code implementations5 Mar 2024 Yaoyan Zheng, Hongyu Yang, Di Huang

Recent advancements in video semantic segmentation have made substantial progress by exploiting temporal correlations.

Semantic Segmentation Video Semantic Segmentation

ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations

1 code implementation7 Dec 2023 Mingwu Zheng, Haiyu Zhang, Hongyu Yang, Liming Chen, Di Huang

Accurate representations of 3D faces are of paramount importance in various computer vision and graphics applications.

Face Model Face Reconstruction

Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach

1 code implementation2 Aug 2023 Chunwei Yang, Xiaoxu Chen, Lijun Sun, Hongyu Yang, Yuankai Wu

To address this gap, we propose an unsupervised method called Floss that automatically regularizes learned representations in the frequency domain.

Anomaly Detection Representation Learning +3

Multiscale Progressive Text Prompt Network for Medical Image Segmentation

no code implementations30 Jun 2023 Xianjun Han, Qianqian Chen, Zhaoyang Xie, Xuejun Li, Hongyu Yang

This design provides a simple and accurate way to leverage multiscale progressive text prior prompts for medical image segmentation.

Contrastive Learning Image Segmentation +3

NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images

1 code implementation CVPR 2023 Mingwu Zheng, Haiyu Zhang, Hongyu Yang, Di Huang

Realistic face rendering from multi-view images is beneficial to various computer vision and graphics applications.

Neural Rendering

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

1 code implementation ICCV 2023 Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang

Inspired by recent advances in diffusion models, which are reminiscent of denoising autoencoders, we investigate whether they can acquire discriminative representations for classification via generative pre-training.

Contrastive Learning Denoising +3

Explainable and Safe Reinforcement Learning for Autonomous Air Mobility

1 code implementation24 Nov 2022 Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu

Although DRL has achieved important advancements in this field, the existing works pay little attention to the explainability and safety issues related to DRL controllers, particularly the safety under adversarial attacks.

Adversarial Attack Q-Learning +3

STS: Surround-view Temporal Stereo for Multi-view 3D Detection

no code implementations22 Aug 2022 Zengran Wang, Chen Min, Zheng Ge, Yinhao Li, Zeming Li, Hongyu Yang, Di Huang

Instead of using a sole monocular depth method, in this work, we propose a novel Surround-view Temporal Stereo (STS) technique that leverages the geometry correspondence between frames across time to facilitate accurate depth learning.

3D Object Detection Depth Estimation +4

Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction

1 code implementation14 Jul 2022 Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu

By this means, STPN allows cross-talk of spatial and temporal factors for modeling delay propagation.

Decision Making Time Series Analysis

Depth Completion using Geometry-Aware Embedding

1 code implementation21 Mar 2022 Wenchao Du, Hu Chen, Hongyu Yang, Yi Zhang

The ablation study gives more insights into our method that could achieve significant gains with a simple design, while having better generalization capability and stability.

Depth Completion Depth Estimation

ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo

1 code implementation CVPR 2022 Biwen Lei, Xiefan Guo, Hongyu Yang, Miaomiao Cui, Xuansong Xie, Di Huang

The network is mainly composed of two components: a context-aware local retouching layer (LRL) and an adaptive blend pyramid layer (BPL).

4k Photo Retouching

Boundary Guided Context Aggregation for Semantic Segmentation

1 code implementation27 Oct 2021 Haoxiang Ma, Hongyu Yang, Di Huang

The recent studies on semantic segmentation are starting to notice the significance of the boundary information, where most approaches see boundaries as the supplement of semantic details.

Boundary Detection Semantic Segmentation

Image Inpainting via Conditional Texture and Structure Dual Generation

4 code implementations ICCV 2021 Xiefan Guo, Hongyu Yang, Di Huang

Deep generative approaches have recently made considerable progress in image inpainting by introducing structure priors.

Image Inpainting Texture Synthesis

Pixel Sampling for Style Preserving Face Pose Editing

no code implementations14 Jun 2021 Xiangnan Yin, Di Huang, Hongyu Yang, Zehua Fu, Yunhong Wang, Liming Chen

The existing auto-encoder based face pose editing methods primarily focus on modeling the identity preserving ability during pose synthesis, but are less able to preserve the image style properly, which refers to the color, brightness, saturation, etc.

Facial Inpainting

Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer

no code implementations12 Aug 2020 Yuting Liu, Zheng Wang, Miaojing Shi, Shin'ichi Satoh, Qijun Zhao, Hongyu Yang

We formulate the mutual transformations between the outputs of regression- and detection-based models as two scene-agnostic transformers which enable knowledge distillation between the two models.

Crowd Counting Knowledge Distillation +3

Learning Continuous Face Age Progression: A Pyramid of GANs

no code implementations10 Jan 2019 Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain

The two underlying requirements of face age progression, i. e. aging accuracy and identity permanence, are not well studied in the literature.

Face Recognition Generative Adversarial Network +1

Visual Attention Network for Low Dose CT

no code implementations31 Oct 2018 Wenchao Du, Hu Chen, Peixi Liao, Hongyu Yang, Ge Wang, Yi Zhang

Noise and artifacts are intrinsic to low dose CT (LDCT) data acquisition, and will significantly affect the imaging performance.

Generative Adversarial Network Image Restoration

Learning Face Age Progression: A Pyramid Architecture of GANs

1 code implementation CVPR 2018 Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain

The two underlying requirements of face age progression, i. e. aging accuracy and identity permanence, are not well studied in the literature.

Generative Adversarial Network

Scalable Bayesian Rule Lists

7 code implementations ICML 2017 Hongyu Yang, Cynthia Rudin, Margo Seltzer

They have a logical structure that is a sequence of IF-THEN rules, identical to a decision list or one-sided decision tree.

Computational Efficiency

Face Aging Effect Simulation using Hidden Factor Analysis Joint Sparse Representation

no code implementations4 Nov 2015 Hongyu Yang, Di Huang, Yunhong Wang, Heng Wang, Yuanyan Tang

Face aging simulation has received rising investigations nowadays, whereas it still remains a challenge to generate convincing and natural age-progressed face images.

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