Program

The 13th IEEE Conference on Automatic Face and Gesture Recognition (FG 2019) will take place during the week of May 14-18, 2019. Workshops and tutorials will be held on Tuesday (May 14) and Saturday (May 18), while the main conference will take place on Wednesday through Friday (May 15-17). Please see the Registration page to register for the full conference (including workshops and tutorials) or for individual days.

FG Booklet available for download here

The papers selected for oral presentation will have the following format:

12 minutes oral presentation and 3 minutes question/answer.
Authors are also required to present their paper in a designated poster session. The poster presentation is scheduled on the same day as the oral presentation.

The papers selected for poster presentation will have the following format:

Spotlight presentation, 2 minutes oral. The pptx template for spotlight presentations is available for download here.
Please do not change the format and timers of the spotlight template.
The spotlights should be uploaded on CMT by May 10th, 2019.
Poster format: Display board size is 2.5m (8.20′) x 1.0m (3.28′) – portrait orientation. Suggested poster size in portrait orientation is 1.5m ~ 1.8m (in height) x 0.9m (in width). We will provide clear adhesive tape for poster mounting.

May 14th	May 15th	May 16th *	May 17th	May 18th
Workshops, Tutorials and Challenges	Main Conference	Main Conference	Main Conference	Workshops, Tutorials and Challenges
Lunch Break *on May 16th the Lunch Break starts at 12h45
Workshops, Tutorials and Challenges, Doctoral Consortium	Main Conference	Main Conference	Main Conference	Workshops, Tutorials and Challenges
	Reception	Banquet

Time	May 14th	May 15th	May 16th *	May 17th	May 18th
8:00	Registration	Registration
8:45	Welcome address
9:00	Workshops, Tutorials and Challenges	Keynote 1	Keynote 2	Keynote 3	Workshops, Tutorials and Challenges
9:30
10:00	Coffee	Coffee	Coffee
10:30	Oral 1 – Face Analysis and Synthesis	Oral 3 – Face Analysis and Synthesis	Oral 5 – Face Recognition
11:00
11:30
12:00	Poster Spotlights	Poster Spotlights	Poster Spotlights
12:30	Lunch break *on May 16th the Lunch Break starts at 12h45
14:00	Workshops, Tutorials and Challenges, Doctoral Consortium	Special Session 1 – Fundamental Challenges in Modeling, Representation and Synthesis of Gestures	Special Session 2 – Human Health Monitoring Based on Computer Vision	Special Session 3 – Efficient and Reliable 3D Face Analysis	Workshops, Tutorials and Challenges
14:30
15:00	Oral 2 – Emotion	Oral 4 – Action Units	Oral 6 – Gaze, Pose and Gestures starts at 14:45
15:30
16:00	Poster+Demo with Coffee	Poster+Demo with Coffee	Poster+Demo with Coffee
16:30
17:00
17:30
18:00
19:00	Reception	Banquet

May 14th
9:00-12:30	Workshop 2 – LERA	Workshop 4 – FA4ADAS	Tutorial 1 – Face Recognition From Acamedia to Industry: Past, Present and Future	Challenge – Recognizing Families in the Wild (RFIW – 3rd edition)
14:00-18:00	Workshop 1 – MEGC	Workshop 3 – CBAR	Tutorial 2 – Introduction to Deep Learning for Facial and Gesture Understanding	Tutorial 3 – Adversial Learning in Face Recognition – Two sides of the Security Coin
May 18th
9:00-12:30	Workhop 5 and Challenge – OMG	Tutorial 4 – Visual Recognition of Families in the Wild	Tutorial 5 – 3D Human Pose Understanding

Day 1 10:30-12:00	Oral 1: Face Analysis and Synthesis
12	Facial Expression Analysis through Point Cloud Neural Networks
81	Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild
36	FCSR-GAN: End-to-end Learning for Joint Face Completion and Super-resolution
86	Boundary-sensitive Network for Portrait Segmentation
80	Improving Face Sketch Recognition via Adversarial Sketch-Photo Transformation
169	MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild
Day 1 15:00-16:00	Oral 2: Emotion
122	Valence and Arousal Estimation In-The-Wild with Tensor Methods
128	Audio-Visual Emotion Forecasting: Characterizing and Predicting Future Emotion Using Deep Learning
140	Facial Expression Editing with Continuous Emotion Labels
96	The Many Variations of Emotion
Day 2 10:30-12:00	Oral 3: Face Analysis and Synthesis
40	Attribute-Guided Sketch Generation
21	Photo-Realisitc Exemplar-Based Face Aging
239	DroneSURF: Benchmark Dataset for Drone-based Face Recognition
204	Modeling and Synthesizing Idiopathic Facial Paralysis
125	LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild
164	Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis
Day 2 15:00-16:00	Oral 4: Action Units
54	IdenNet: Identity-Aware Facial Action Unit Detection
154	Cross-domain AU Detection: Domains, Learning Approaches, and Measures
103	Learning Temporal Information From A Single Image For AU Detection
213	Expression Empowered ResiDen Network for Facial Action Unit Detection
Day 3 10:30-12:00	Oral 5: Face Recognition
24	The Deeper, the Better: Analysis of Person Attributes Recognition
4	Self-Supervised Learning of Face Representations for Video Face Clustering
201	Robust Video Face Recognition From a Single Still Using a Synthetic Plus Variational Model
71	Learning Discriminative and Complementary Patches for Face Recognition
153	Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition
177	Active Authentication using an Autoencoder regularized CNN-based One-Class Classifier
Day 3 14:45-16:00	Oral 6 – Gaze, Pose and Gestures
113	A CNN Model for Head Pose Recognition using Wholes and Regions
76	Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
48	Deep Conditional Variational Estimation for Depth-Based Hand Poses
20	Extended Gaze Following: Detecting Objects in Videos Beyond the Camera Field of View
197	AutoRate: How attentive is the driver?

Day 1
88	Stacked Hourglass Network Joint with Salient Region Attention Refinement for Face Alignment
31	Video Prediction with Bidirectional Constraint Network
171	Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation
72	Bounded Residual Gradient Networks (BReG-Net) for Facial Affect Computing
180	Representation Learning Through Cross-Modality Supervision
23	Fully End to End Composite Recurrent Convolution Network for Deformable Facial Tracking In The Wild
44	Simultaneous Adversarial Training – Learn from Others’ Mistakes
58	Generalizing to Unseen Head Poses in Facial Expression Recognition and Action Unit Intensity Estimation
240	FaceSurv: A Benchmark Video Dataset for Face Detection and Recognition Across Spectra and Resolutions
42	shallowCNN-LE: A shallow CNN with Laplacian Embedding for face anti-spoofing
73	Context-aware Hybrid Neural Network Architecture for Video-based Facial Expression Recognition in the Wild
27	GF-CapsNet: Using Gabor Jet and Capsule Networks for Facial Age, Gender, and Expression Recognition
56	Automated Measurement of Head Movement Synchrony during Dyadic Depression Severity Interviews
222	Improving Viseme Recognition with GAN-based Muti-view Mapping
234	Facial Expression Recognition Using Deep Siamese Neural Networks with a Supervised Loss function
Day 2
62	Analysis of temporal alignment for Video Classification
35	A Graph-Structured Representation with BRNN for Static-based Facial Expression Recognition
82	Hierarchical Group-level Emotion Recognition in the Wild
78	Toward Automated Classroom Observation: Predicting Positive and Negative Climate
109	On the effect of age perception biases for real age regression
37	Exploring Features and Attributes in Deep Face Recognition Using Visualization Techniques
74	A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework
77	DemogPairs: Quantifying the Impact of Demographic Imbalance in Deep Face Recognition
93	Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
150	Revisiting a single-stage method for face detection
152	Discovering Identity Specific Activation Patterns in Deep Descriptors for Template Based Face Recognition
146	Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks
116	Analyze Spontaneous Gestures for Emotional Stress State Recognition: A Micro-gesture Dataset and Analysis with Deep Learning
65	Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems
220	Hand range of motion evaluation for Rheumathoid Artritis patients
236	Robust Remote Heart Rate Estimation from Face Utilizing Spatial-temporal Attention
238	Characterizing the State of Apathy with Facial Expression and Motion Analysis
Day 3
136	Time-series Clustering with Jointly Learning Deep Representations, Clusters and Temporal Boundaries
143	ESTIMATION OF MISSING HUMAN BODY PARTS VIA BIDIRECTIONAL LSTM
117	Pain Expression Recognition Using Occluded Faces
22	Deformable Synthesis Model for Emotion Recognition
200	Multimodal Deep feature aggregation for Facial Action Unit Recognition Using Visible images and physiological signals
155	2D Landmark-Based Facial Asymmetry Assessment in the Clinical Case of Facial Paralysis
47	Fast Facial Image Analogy with Spatial Guidance
130	Are You Speaking: Real-Time Speech Activity Detection via Landmark Pooling Network
156	Reparameterising 3D Statistical Shape Models
89	LPM: Learnable Pooling Module for Efficient Full-Face Gaze Estimation
205	Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network
183	Large Scale Sign Language Interpretation
138	Your Fellows Matter: Affect Analysis across Subjects in Group Videos

Day 1 14:00-15:00	Fundamental Challenges in Modeling, Representation and Synthesis of Gestures
13	Segmentation Guided Image-to-Image Translation with Adversarial Networks
67	MAGIC: A Fundamental Framework for Gesture Representation, Comparison and Assessment
66	Database of Gesture Attributes: Zero Shot Learning for Gesture Recognition
191	Equipping social robots with culturally-sensitive facial expressions of emotion using data-driven methods
Day 2 14:00-15:00	Human Health Monitoring Based on Computer Vision
221	Learning to Detect Genuine versus Posed Pain from Facial Expressions using Residual Generative Adversarial Networks
232	Characterization of the Handwriting Skills as a Biomarker for Parkinson’s Disease
223	Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions
217	Encoding Visual Behaviors with Attentive Temporal Convolution for Depression Prediction
Day 3 14:00-15:00	Efficient and Reliable 3D Face Analysis
225	Local Feature Tensor Based Deep Learning for 3D Face Recognition
219	Learning Interpretable Expression-sensitive Features for 3D Dynamic Facial Expression Recognition
218	Discriminative Attention-based Convolutional Neural Network for 3D Facial Expression Recognition