Search Results for author: Baoyuan Wang

Found 17 papers, 4 papers with code

Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation

no code implementations CVPR 2022 Wenbin Zhu, Chien-Yi Wang, Kuan-Lun Tseng, Shang-Hong Lai, Baoyuan Wang

Leveraging the environment-specific local data after the deployment of the initial global model, LaFR aims at getting optimal performance by training local-adapted models automatically and un-supervisely, as opposed to fixing their initial global model.

Face Recognition

Privacy-preserving Online AutoML for Domain-Specific Face Detection

no code implementations CVPR 2022 Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang

Thanks to HyperFD, each local task (client) is able to effectively leverage the learning "experience" of previous tasks without uploading raw images to the platform; meanwhile, the meta-feature extractor is continuously learned to better trade off the bias and variance.

AutoML Face Detection +1

CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement

no code implementations CVPR 2021 Noranart Vesdapunt, Baoyuan Wang

Our confidence ranker is model-agnostic, so we can augment the data by choosing the pairs from multiple face detectors during the training, and generalize to a wide range of face detectors during the testing.

Face Detection

Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting

no code implementations ECCV 2020 Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang

Traditional methods for image-based 3D face reconstruction and facial motion retargeting fit a 3D morphable model (3DMM) to the face, which has limited modeling capacity and fail to generalize well to in-the-wild data.

3D Face Reconstruction Face Model +1

JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling

no code implementations ECCV 2020 Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang

In this paper, we introduce a novel approach to learn a 3D face model using a joint-based face rig and a neural skinning network.

3D FACE MODELING Face Model

Animating Face using Disentangled Audio Representations

no code implementations2 Oct 2019 Gaurav Mittal, Baoyuan Wang

All previous methods for audio-driven talking head generation assume the input audio to be clean with a neutral tone.

Representation Learning Talking Head Generation

Joint Face Detection and Facial Motion Retargeting for Multiple Faces

no code implementations CVPR 2019 Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang

Facial motion retargeting is an important problem in both computer graphics and vision, which involves capturing the performance of a human face and transferring it to another 3D character.

3D Face Reconstruction Face Alignment +3

Real-time Burst Photo Selection Using a Light-Head Adversarial Network

no code implementations20 Mar 2018 Baoyuan Wang, Noranart Vesdapunt, Utkarsh Sinha, Lei Zhang

The system is designed to run in the viewfinder mode and capture a burst sequence of frames before and after the shutter is pressed.

Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning

no code implementations6 Mar 2018 Huan Yang, Baoyuan Wang, Noranart Vesdapunt, Minyi Guo, Sing Bing Kang

We propose a reinforcement learning approach for real-time exposure control of a mobile camera that is personalizable.

reinforcement-learning

Understanding and Predicting The Attractiveness of Human Action Shot

no code implementations2 Nov 2017 Bin Dai, Baoyuan Wang, Gang Hua

Selecting attractive photos from a human action shot sequence is quite challenging, because of the subjective nature of the "attractiveness", which is mainly a combined factor of human pose in action and the background.

Exposure: A White-Box Photo Post-Processing Framework

1 code implementation27 Sep 2017 Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin

Retouching can significantly elevate the visual appeal of photos, but many casual photographers lack the expertise to do this well.

FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling

1 code implementation CVPR 2017 Yuanming Hu, Baoyuan Wang, Stephen Lin

However, the patch-based CNNs that exist for this problem are faced with the issue of estimation ambiguity, where a patch may contain insufficient information to establish a unique or even a limited possible range of illumination colors.

Color Constancy

Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-encoders

no code implementations ICCV 2015 Huan Yang, Baoyuan Wang, Stephen Lin, David Wipf, Minyi Guo, Baining Guo

With the growing popularity of short-form video sharing platforms such as \em{Instagram} and \em{Vine}, there has been an increasing need for techniques that automatically extract highlights from video.

Automatic Photo Adjustment Using Deep Neural Networks

1 code implementation24 Dec 2014 Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu

Many photographic styles rely on subtle adjustments that depend on the image content and even its semantics.

Photo Retouching

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