- Cascade Multi|view Hourglass Model for Robust 3D Face Alignment🔍
- Point detection through multi|instance deep heatmap regression for ...🔍
- Performance Analysis of 3D Face Alignment with a Statistically ...🔍
- Attention|Guided Coarse|to|Fine Network for 2D Face Alignment in ...🔍
- Attentive One|Dimensional Heatmap Regression for Facial ...🔍
- The First 3D Face Alignment in the Wild 🔍
- A CPU Real|Time Face Alignment for Mobile Platform🔍
- Multi|view Consensus CNN for 3D Facial Landmark Placement🔍
Two|Stage Convolutional Part Heatmap Regression for the 1st 3D ...
Cascade Multi-view Hourglass Model for Robust 3D Face Alignment
Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild. (3dfaw) challenge. In ECCV, pages 616–624. Springer, 2016. [8] ...
Point detection through multi-instance deep heatmap regression for ...
[18] proposed a two-stage heatmap-based network. All in all, similar ... convolutional part heatmap regression. In: Leibe B, Matas J, Sebe N, Welling ...
Performance Analysis of 3D Face Alignment with a Statistically ...
[1] Bulat A, Tzimiropoulos G (2016) Two-stage convolutional part heatmap regression for the 1st 3D face alignment in the wild (3DFAW) challenge. In ...
Attention-Guided Coarse-to-Fine Network for 2D Face Alignment in ...
Tzimiropoulos, “Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild (3dfaw) challenge,”. European Conference on ...
Attentive One-Dimensional Heatmap Regression for Facial ... - arXiv
For the detector, we design two groups of convolutional neural networks (CNNs) to compress the facial representation tensor to. 1D heatmaps on the x and y axes.
The First 3D Face Alignment in the Wild (3DFAW) Challenge
first stage, the method calculates heat-maps of 2D landmarks using convolutional ... Bulat, A., Tzimiropoulos, G.: Two-stage convolutional part heatmap regression ...
Attentive One-Dimensional Heatmap Regression for Facial ...
To address this, we propose a novel attentive one-dimensional heatmap regression method for facial landmark localization. First, we predict two ...
A CPU Real-Time Face Alignment for Mobile Platform
... two network stage and a transform stage). proposed a method which built upon the idea of convolutional part heatmap regression and ranked 1st in the 3D Face ...
Multi-view Consensus CNN for 3D Facial Landmark Placement
Bulat, A., Tzimiropoulos, G.: Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild (3dfaw) challenge. In: Proc. ECCV ...
Hand Pose Estimation via Latent 2.5D Heatmap Regression
Abstract. Estimating the 3D pose of a hand is an essential part of human-computer interaction. Estimating 3D pose using depth or multi-.
Adrian Bulat - Samsung Electronics | LinkedIn
... convolutional part heatmap regression [1], extending it for 3D face alignment. Our method decomposes the problem into two parts: (a) X,Y (2D) estimation and ...
Joint 3D Face Reconstruction and Dense Face Alignment via Deep ...
[5] Adrian Bulat and Georgios Tzimiropoulos, 'Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild. (3dfaw) challenge ...
Heatmap-Guided Selective Feature Attention for Robust Cascaded ...
Face alignment methods have been actively studied using coordinate and heatmap regression tasks. Although these regression tasks have the same objective for ...
Improved Facial Keypoint Regression Using Attention Modules - OUCI
Bulat, A., Tzimiropulos, G.: Two-stage convolutional part heatmap regression for the 1st 3d face alignment in the wild (3dfaw) challenge. In: Hua, G., Jegou ...
Learning to Detect 3D Facial Landmarks via Heatmap Regression ...
The graph convolutional network learns geometric features adaptively for 3D facial landmark detection with the assistance of constructed 3D ...
SHELF: Combination of Shape Fitting and Heatmap Regression for ...
For the first two datasets, the method is also comparable to the ... (2019) Efficientnet: Rethinking model scaling for convolutional neural ...
Regression-based 3D Hand Pose Estimation using Heatmaps
Keywords: Convolutional Neural Networks, Pose, Heatmaps, Regression. ... We tackle this problem using two-staged CNNs. Given a color image I∈RNxMx3 ...
Adversarial Learning Semantic Volume for 2D/3D Face Shape ...
Tzimiropoulos, “Two-stage convolutional part heatmap regression for the 1st 3D face alignment in the wild (3DFAW) chal- lenge,” in Proc. Eur. Conf. Comput ...
A complementary regression network for accurate face alignment
... part-detection network and a regression network to construct 3D landmark locations. ... heatmap for facial landmarks, which enables combination of two ...
Deep learning for real world face alignment - - Nottingham ePrints
Two-stage convolutional part heatmap regression for the. 1st 3d face alignment in the wild (3dfaw) challenge. In European Conference on Computer. Vision (ECCV) ...