Search Results for author: Noranart Vesdapunt

Found 9 papers, 0 papers with code

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

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

Automatic Stroke Lesions Segmentation in Diffusion-Weighted MRI

no code implementations28 Mar 2018 Noranart Vesdapunt, Nongluk Covavisaruch

The selected segmentation techniques have been validated by accuracy, sensitivity, and specificity using leave-one-out cross-validation to determine the possibility of each techniques first then maximizes the accuracy from the training set.

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.

In Teacher We Trust: Learning Compressed Models for Pedestrian Detection

no code implementations1 Dec 2016 Jonathan Shen, Noranart Vesdapunt, Vishnu N. Boddeti, Kris M. Kitani

It has been observed that many of the parameters of a large network are redundant, allowing for the possibility of learning a smaller network that mimics the outputs of the large network through a process called Knowledge Distillation.

Knowledge Distillation Pedestrian Detection

Comparison of Optimization Methods in Optical Flow Estimation

no code implementations2 May 2016 Noranart Vesdapunt, Utkarsh Sinha

In this paper, we assumed slightly uniform change of velocity between two nearby frames, and solve the optical flow problem by traditional method, Lucas-Kanade(1981).

Optical Flow Estimation

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