ag平台客服|注册
Your Position:    ag平台客服|注册??> ??Workshops??

W01 –Correspondence Problem In Computer Vision and Pattern Recognition (CPPR18)

Overview
The recent years have witnessed the significant advancement of techniques for automatic correspondence among visual data. Although visual correspondence has been well studied in multi-view geometry, its generalized forms, and the potential connections with other relevant tasks, are still not fully investigated. Meanwhile, the big data and deep learning paradigm, which has achieved major success in perceptual tasks, has still not been well capitalized for visual correspondence. In this workshop, we attempt to assemble recent advances in the correspondence problem, in an effort for connecting the local and global structures with the modern learning and data processing paradigms.

Organizers
Junchi Yan         Shanghai Jiao Tong University
Shuhan Shen       Institute of Automation, Chinese Academy of Sciences
Changsheng Li      University of Electronic Science and Technology of China

Schedule
Venue:  Room 301A
Time:   20th August 2018, 14:05 - 16:00 PM

SUBSLOT

SPEAKER

TITLE

CHAIR

14:05 - 14:10

Opening remarks

Shuhan Shen

14:10 - 14:40

Yihong Wu

Invited Talk 1: Image based camera localization towards challenging problems

Shuhan Shen

14:45 - 15:15

Xiaowei Zhou

Invited Talk 2: Finding consistent feature correspondences across multiple images

Junchi Yan

15:20 - 16:00

Xu-Cheng Yin

Invited Talk 3: Tacking based text detection and recognition from scene and web videos

Changsheng Li



Additional Information
Workshop Website:http://vision.ia.ac.cn/CCPRWorkshop2018/index.html



W02 –Computer Vision for Analysis of Underwater Imagery (CVAUI 2018)

Overview
The analysis of underwater imagery imposes a series of unique challenges, which need to be tackled by the computer vision community in collaboration with biologists and ocean scientists. We invite submissions from all areas of computer vision and image analysis relevant for, or applied to, underwater image analysis.

Organizers
Alexandra Branzan Albu    University of Victoria, BC, Canada
Maia Hoeberechts          Ocean Networks Canada, Victoria, BC, Canada

Schedule
Venue:  Room 301B
Time:   20th August 2018, 09:00 AM - 17:00 PM

SUBSLOT

SPEAKER/TITLE

09:00 - 09:30

Welcome from Workshop Organizers (Alexandra Branzan Albu & Maia Hoeberechts)

“Big data” challenges in underwater imagery analysis (Maia Hoeberechts)

09:30 - 10:30

Invited Talk 1:Kim Juniper (Ocean Networks Canada, University of Victoria, Victoria, Canada)

10:30 - 11:00

Coffee Break

11:00 - 12:30

Oral Presentations 1 (4 papers)

Single Image Plankton 3D Reconstruction from Extended Depth of Field Shadowgraph

Claudius Zelenka1 and Reinhard Koch1

1Department of Computer Science, Kiel University, Germany

Deep Active Learning for In Situ Plankton Classification

Erik Bochinski1, Ghassen Bacha1, Volker Eiselein1, Tim J. W. Walles2, Jens C.Nejstgaard2, and Thomas Sikora1

1 Communication System Group, Technische Universit?t Berlin

2 Leibnitz-Institute of Freshwater Ecology and Inland Fisheries

Tracking Sponge Size and Behaviour with Fixed Underwater Observatories

Torben M?ller1, Ingunn Nilssen2, and Tim Wilhelm Nattkemper1

1 Biodata Mining Group, Bielefeld University, Bielefeld 33615, Germany

2 Equinor, Research and Technology, Trondheim 7005 Norway

Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network

Xiaoli Yu1, Yanyun Qu1, and Ming Hong1

1School of Information Science and Engineering, Xiamen University, Xiamen, China

12:30 - 14:00

Lunch

14:00 - 15:30

Oral Presentations 2 (4 papers)

Strategies for Tackling the Class Imbalance Problem in Marine Image Classification

Daniel Langenk?mper1, Robin van Kevelaer1, and Tim W Nattkemper1

1Biodata Mining Group, Faculty of Technology, Bielefeld University, 33615 Bielefeld, Germany

Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter

Micha? Koziarski1 and Bogus?aw Cyganek1

1Department of Electronics, AGH University of Science and Technology, Kraków, Poland

An Online Platform for Underwater Image Quality Evaluation

Chau Yi Li1, Riccardo Mazzon1, Andrea Cavallaro1

1Centre for Intelligent Sensing, Queen Mary University of London

Enhancement of low-lighting underwater images using Dark Channel Prior and Fast Guided Filters

Tunai Porto Marques1, Alexandra Branzan Albu1 and Maia Hoeberechts2

1 Department of Electrical & Computer Engineering, University of Victoria, Victoria, Canada

2 Ocean Networks Canada, University of Victoria, Victoria, Canada

15:30 - 16:00

Coffee Break

16:00 - 17:00

Invited Talk 2:Bob Fisher (School of Informatics, University of Edinburgh, Edinburgh, Scotland, UK)

Additional Information
Workshop Website:http://cvaui2018.oceannetworks.ca


W03+W04- The Second International Workshop on Deep Learning for Pattern Recognition (DLPR2018)

Overview

Deep Learning, which can be treated as the most significant breakthrough in the past 10 years in the field of pattern recognition and machine learning, has greatly affected the methodology of related fields like computer vision and achieved terrific progress in both academy and industry. It can be seen as a resolution to change the whole pattern recognition system. It achieved an end-to-end pattern recognition, merging the previous steps of pre-processing, feature extraction, classifier design and post-processing. It is expected that the development of deep learning theories and applications would further influence the field of pattern recognition. The major goal of this workshop is to provide a platform for researchers or graduate students around the world to report or exchange their progresses on deep learning for pattern recognition.

Organizers

Xiang Bai         Huazhong University Science and Technology

Yi Fang           New York University Abu Dhabi and New York University

Yangqing Jia       Facebook

Meina Kan         Institute of Computing Technology, Chinese Academy of Sciences

Shiguang Shan      Institute of Computing Technology, Chinese Academy of Sciences

Chunhua Shen       University of Adelaide

Jingdong Wang     Microsoft Research Asia

Gui-Song Xia      Wuhan University

Shuicheng Yan       National University of Singapore

Zhaoxiang Zhang   Institute of Automation, Chinese Academy of Sciences

Kamal Nasrollahi   Aalborg University, Denmark

Gang Hua         Microsoft Research, USA

Thomas B.        Moeslund Aalborg University, Denmark

Qiang Ji          Rensselaer Polytechnic Institute, USA

Schedule

Venue: Room 306B

Time:  20thAugust 2018, 13:30 - 17:00 PM

SUBSLOT

SPEAKER

TITLE

CHAIR

13:30 - 13:40

Welcome and Opening

Zhaoxiang Zhang

13:40 - 14:20

Edwin Hancock

(University of York, UK)

Machine Learning with Quantum Walks

Guisong Xia

14:20 - 15:00

Xilin Chen

(Institute of Computing Technology of the Chinese Academy of Sciences)

TBD

Kamal Nasrollahi

15:00 - 15:10

Micha? Koziarski, Bogdan Kwolek and Bogus?aw Cyganek

Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance

Kamal Nasrollahi

15:10 - 15:20

Fu Hao, Ming Yue, Jiang Yibo and Fan Chunxiao

Effective SVD-based Deep Network Compression for Automatic Speech Recognition

15:20 - 15:30

Kang Liao, Chunyu Lin, Yao Zhao and Moncef Gabbouj

DRGAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time

15:30 - 15:40

Fadi Dornaika, Fawzi Khattar, Jorge Reta, Ignacio Arganda-Carreras and Yassine Ruichek

Image-based Driver Drowsiness Detection

15:40 - 16:00

Coffee Break

16:00 - 16:10

Chao Li and Yue Ming

Three-Stream Convolution networks after background subtraction for action recognition

Meina Kan

16:10 - 16:20

Cong Luo and Xue Gao

Scene Text Detection with A SSD and Encoder-Decoder Network Based Method

16:20 - 16:30

Arindam Das, Thomas Boulay and Senthil Yogamani

Evaluation of Group Convolution in Lightweight Deep Networks for Object Classification

16:30 - 16:40

Javier Hernandez-Ortega, Julian Fierrez, Ester Gonzalez-Sosa and Aythami Morales

Continuous Presentation Attack Detection in Face Biometrics based on Heart Rate

16:40 – 17:00

Closing



Additional Information

Workshop Website: https://dlpr2018.github.io/home/index.html

Workshop Website:https://ffer.aau.dk/


W05 - 7th IAPR International Workshop on Computational Forensics

Overview

With the advent of high-end technology, fraudulent efforts are on rise in many areas of our daily life, may it be fake paper documents, forgery in the digital domain or copyright infringement. In solving the related criminal cases use of pattern recognition (PR) principles is also gaining an important place because of their ability in successfully assisting the forensic experts to solve many of such cases.

The 7th IAPR International Workshop on Computational Forensics (IWCF) will aim at addressing the theoretical and practical issues related to this field, i.e. role of PR techniques for analysing problems in forensics. Effort is to bring the people together who are working on these issues in different areas including document and speech processing, music analysis, digital security, forensic sciences, etc.


Organizers

Jean-Marc Ogier  University of La Rochelle, France

Chang-Tsun Li   Charles Sturt University, Australia

Nicolas Sidère    University of La Rochelle, France

Schedule

Venue: Room 302B

Time:  20thAugust 2018, 09:00 – 12:00 AM

SUBSLOT

SPEAKER/TITLE

09:00 – 10:00

Chang-Tsun Li

Applications Of Multimedia Forensics In Law Enforcement

10:00 – 10:15

A Novel Method for Race Determination of Human Skulls

Paper Authors: Casper Oakley, Li Bai, Iman Liao, Olasimbo Arigbabu, Nurliza Abdullah and Mohamad Helmee Mohamad Noor

10:15 - 10:30

Anchored Kernel Hashing for Cancelable Template Protection for Cross-Spectrum Periocular Data

Paper Authors: Kiran Raja, Raghavendra Ramachandra and Christoph Busch

10:30 - 11:00

Coffee Break

11:00 - 12:00

Saddok Kebairi

Document Fraud : Reality And Challenge For Companies

12:00 - 12:15

Categorization of Document Image Tampering Techniques and How to Identify Them

Paper Authors: Francisco Cruz, Nicolas Sidère, Micka?l Coustaty, Vincent Poulain d'Andecy and Jean-Marc Ogier


Additional Information
Workshop Website:http://iwcf2018.univ-lr.fr


W06 - Pattern Recognition in Intelligent Financial Analysis and Risk Management (PRIFR 2018)

Overview

Recently, financial industry is featured with massive volumes of both structured and unstructured data, which are often associated with unlabeled and partially labeled data, or noisy and uncertain labels. Developing intelligent financial analysis and risk management tools for such data present major challenges for both practitioners and academic researchers. The proposed workshop mainly focuses on pattern recognition and machine learning methods such as kernel methods, feature selection, reinforcement learning, complex networks, deep learning methods, etc. for building intelligence for financial analysis and risk-based knowledge discovery.

Organizers

Lu Bai, Associate Professor, Central University of Finance and Economics, China

Luca Rossi, Assistant Professor Aston University, UK

Lixin Cui, Assistant Professor, Central University of Finance and Economics, China

Jian Tang, Assistant Professor, HEC Montreal & Montreal Institute for Learning Algorithms, Canada

Schedule

Venue: Room 301A

Time:  20thAugust 2018, 08:45 - 12:30 AM

SUBSLOT

SPEAKER

TITLE

CHAIR

08:45 - 09:10

Lixin Cui

Opening Remarks

Invited Talk 1: Feature Selection in P2P Lending Analysis

Lu Bai

09:10 - 09:50

Edwin Hancock

Invited Talk 2: Exploring the Econo-physics of Market Networks using von Neumann Entropy

Lu Bai

09:50 - 10:30

Baogang Hu

Invited Talk 3:Information Theoretic Learning in Pattern Classification

Luca Rossi

10:30 - 11:00

Coffee Break

11:00 - 11:30

Ning Zhang

Invited Talk 4: The New Generation of Artificial Intelligence in Finance

Lixin Cui

11:30 - 12:10

Francisco Escolano

Invited Talk 5: An Information-Theoretic Approach for Graphs.

Lixin Cui

12:10 - 12:30

Lu Bai

Invited Talk 6: A Preliminary Survey of Analyzing Dynamic Time-varying Financial Networks Using Graph Kernels

Luca Rossi


Additional Information
Workshop Website:https://cs.aston.ac.uk/icprprifr


W07 – 2nd Workshop on Reproducible Research in Pattern Recognition (RRPR 2018)

Overview

Following the success of the first workshop Reproducible Research on Pattern Recognition that held at the previous ICPR event 2016, this event will propose a new edition in continuation of the previous event with a new special focus on Digital Geometry and Mathematical Morphology. As for the previous edition, it is intended as both a participative short course on the basis of RR with open discussions with the attendants, and also as a practical workshop on how to do actual RR.


Organizers

Bertrand Kerautret  Main Chair, LORIA, Université de Lorraine, Nancy

Miguel Colom     CMLA, ENS Paris Saclay

Bart Lamiroy      LORIA, Université de Lorraine, Nancy

Daniel Lopresti    Lehigh University, Bethlehem, PA 18015

Pascal Monasse    LIGM, Ecole des Ponts, Paris

Jean-Michel Morel CMLA, ENS Paris Saclay

Fabien Pierre      LORIA, Université de Lorraine, Nancy

Hugues Talbot     Center for Numerical Vision, CentraleSupelec, Paris

Schedule

Venue: Room 303 A

Time:  20thAugust 2018, 09:00 AM - 16:30 PM

SUBSLOT

SPEAKER

TITLE

CHAIR

09:00-10:00

Miguel Colom

Invited Talk 1: Present and Future of the IPOL Journal: Machine Learning Applications.

Daniel Lopresti

10:00-10:40

Anguelos Nicolaou

Paper 1: Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings.

Authors: Anguelos Nicolaou, Sounak Dey, Vincent Christlein, Andreas Maier and Dimosthenis Karatzas

Daniel Lopresti

10:40 - 11:10

Coffee Break

11:10-11 :50

Pascal Monasse

Paper 2: A Root-to-Leaf Algorithm Computing the Tree of Shapes of an Image.

Author: Pascal Monasse

Bertrand Kerautret

11:50-12:30

Phuc Ngo

Paper 3: Discrete Regular Polygons for Digital Shape Rigid Motion via Polygonization.

Authors: Phuc Ngo, Yukiko Kenmochi, Nicolas Passat and Isabelle Debled-Rennesson

Bertrand Kerautret

12:30-14:00

Lunch

14:00-14:30

M. Colom

B. Kerautret

Invited Talk 2

Pascal Monasse

14:30-15:30

M. Colom

Practical session: Hands on the IPOL Demonstration System.

Pascal Monasse

15:30-16:00

Short papers authors

Short Papers Fast track (and/or posters)

Pascal Monasse

16:00-16:30

Organizers

Open discussion on the two previous editions of RRPR and on the future of the next Edition.

Pascal Monasse


Additional Information
Workshop Website:https://rrpr2018.sciencesconf.org


W08 - 6th Visual observation and analysis of Vertebrate  And Insect Behavior workshop (VAIB18)
Overview

There has been an enormous amount of research on analysis of video data of humans, but relatively little on visual analysis of other organisms. The goal of this workshop is to stimulate and bring together the current research in this area, and provide a forum for researchers to share expertise. As we want to make this more of a discussion workshop, we encourage work-in-progress presentations. Reviewing will be lightweight and only abstracts will be circulated to attendees. The issues that the research will address include: detection of living organisms, organism tracking and movement analysis, dynamic shape analysis, classification of different organisms (eg. by species), assessment of organism behavior or behavior changes, size and shape assessment, counting, health monitoring, These problems can be applied to a variety of species at different sizes, such as fruit and house flies, crickets, cockroaches and other insects, farmed and wild fish, mice and rats, commercial farm animals such as poultry, cows and horses, and wildlife monitoring, etc. One aspect that they all have in common is video data.

Organizers

Robert Fisher      University of Edinburgh

John Hallam        University of South Denmark

Simone Palazzo    Universita' di Catania

Schedule
Venue:  Room 303B
Time:   20th August 2018, 09:00 – 12:30 AM

SUBSLOT

SPEAKER

TITLE

CHAIR

09:00 - 09:30

O. Mothes

Multi-view Anatomical Animal Landmark Localization using Deep Feature Regression

Fisher

09:30 - 10:00

A. Gostler

Tracking Golden-Collared Manakins in the Wild

Fisher

10:00 - 10:30

L. N. Govindarajan

Neural Computing on a Raspberry Pi: Applications to Zebrafish Behavior Monitoring

Fisher

10:30 - 11:00

Coffee Break

11:00 - 11:30

I. F. Rodriguez

Multiple Animal Tracking in Video Using Part Affinity Fields

Fisher

11:30 - 12:00

F. Naiser

Tracking and Re-Identification System for Multiple Laboratory Animals

Fisher

12:00 - 12:30

M. C. Bakkay

Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images

Fisher


Additional Information
Workshop Website:http://homepages.inf.ed.ac.uk/rbf/vaib18.html



W09 - 5th IAPR TC 9 Workshop on Multimodal Pattern Recognition of Social Signals in Human Computer Interaction (MPRSS 2018)

Overview

Building intelligent artificial companions capable to interact with humans in the same way humans interact with each other is a major challenge in affective computing. Such a type of interactive companion must be capable of perceiving and interpreting multimodal information about the user in order to be able to produce an appropriate response. The proposed workshop mainly focuses on pattern recognition and machine learning methods for the perception of the user’s affective states, activities and intentions.

Organizers

Friedhelm Schwenker Institute of Neural Information Processing, Ulm University, Germany

Stefan Scherer      Institute for Creative Technologies, University of Southern California, USA

Schedule

Venue: Room 302B

Time:  20thAugust 2018, 14:00 – 17:30 PM

SUBSLOT

SPEAKER

TITLE

CHAIR

Registration

14:00-14:05

Opening of MPRSS 2018

Scherer / Schwenker

14:05-14:20

Friedhelm Schwenker

Multimodal Recognition of Mental States : Emotions, Affect, and Pain

TBA

14:20-15:05

Xiaojun Wu

Jiangnan University

Invited Talk: Light weight deep neural networks with applications to pattern recognition

Schwenker / Scherer

15:05-15:30

Suzan Anewar

Perceptual judgments to detect computer generated forged faces in social media

TBA

15:30-16:00

Coffee Break

16:00-16:25

Girmaw Abele

A first-person vision dataset of office activities

TBA

16:25-16:50

Xinyi Liu

An image captioning method for infant sleeping environment diagnosis

X. Wu

16:50-17:15

Patrick Thiam

Combining deep and hand crafted features for audio-based pain intensity classification

Milanova

17:15-17:30

Closing of MPRSS 2018:

Discussion, Proceedings, Special Issue, etc


Additional Information
Workshop Website:https://neuro.informatik.uni-ulm.de/MPRSS2018/

W10 – Deep Learning for Document Analysis and Recognition

Overview

The technology of document analysis and recognition (DAR) aims to automatically extract information from document images and handwriting by analyzing the structure and textual contents. It has tremendous applications such as digitization of books and financial notes and information extraction from Web document images. Recognizing text from images, known as Optical Character Recognition (OCR) is the core task of DAR. Recently, OCR has achieved a great success in both scientific research and practical application for different scenes. A traditional OCR system is heavily pipelined, with hand-designed and highly-tuned modules, usually composed of line extraction, word detection, letter segmentation, and then applying different techniques to each piece of a character to figure out what the character is. Nowadays, we have entered a new era of big data, which offers both opportunities and challenges to the field of OCR and DAR. We should seek new OCR and DAR methods to be adaptive to big data, and also push forward new OCR and DAR applications benefited from big data.

Deep learning, which is considered as one of the most significant breakthrough in recent pattern recognition and computer vision fields, has greatly affected these fields and achieved impressive progress in both academy and industry. Currently, deep learning is widely accepted as an effective OCR solution, which first learns to detect text lines or words from images, then recognize the sequence of characters directly from extracted text lines or words. The hand-built and highly tuned modules are avoided in the deep learning-based OCR system. It is expected that the development of deep learning theories and applications would further influence the field of OCR and DAR.



Organizers

Yongpan Wang  Alibaba Group, China

Xiang Bai      Huazhong University of Science and Technology, China

Cheng-Lin Liu   Institute of Automation of Chinese Academy of Sciences, China

Schedule

Venue: Room 305

Time:  20thAugust 2018, 14:10 – 17:40 PM

SUBSLOT

SPEAKER

TITLE

14:10 - 14:30

Simone marinai

Reflections around Deep Learning and Document Image Analysis

14:30 - 14:50

Lianwen Jin

Toward High Performance Unconstrained Online Handwritten Chinese Text Recognition: A Deep Learning Approach

14:50 - 15:10

Yongpan Wang

the Duguang cloud system of AlibabaDevelopment and challenges for Application of OCR

15:10 - 15:30

C V Jawahar

Deep Learning Revisiting Handwriting: LetNet to HWNet

15:30 - 16:00

Coffee Break

16:00 - 16:20

Weilin Huang

Reading Text in the Wild: From Text Detection to End-to-End Recognition

16:20 - 16:40

Huasha Zhao

Multimodal information extraction using deep learning technologies

16:40 - 17:40

Panel

Future trends on deep learning for OCR and DAR



Additional Information
Workshop Website:https://tianchi.aliyun.com/markets/tianchi/DLDAR_ICPR2018?wh_ttid=pc


W11 - Multimedia Information Processing for Personality and Social Networks Analysis (MIPPSNA 2018)

Overview

The MIPPSNA 2018 workshop aims to compile the latest research advances on the analysis of multimodal information for facing problems that are not visually obvious, this is, problems for which the sole visual analysis is insufficient to provide a satisfactory solution. Specifically, two problems are of interest for the workshop: personality analysis and social behavior analysis, although submissions in related topics will be considered as well. The workshop is associated to an ICPR contest running two tracks in the same topics, see http://chalearnlap.cvc.uab.es/challenge/27/description/. Therefore, the workshop also accepts submissions from contest participants describing their solutions for the challenge.

Organizers

Hugo Jair Escalante   INAOE, Mexico, ChaLearn, USA

Esaú Villatoro        UAM-C, Mexico

Bogdan Ionescu      University Politehnica of Bucharest, Romania

Gabriela Ramírez     UAM-C, Mexico

Sergio Escalera       CVC-UAB

Martha Larson      Multimedia Information Retrieval Lab Delft University of

Technology, Netherlands

Henning Müller     University of Applied Sciences Western Switzerland (HES-SO),

Switzerland

Isabelle Guyon      ChaLearn, USA, Université Paris Saclay, France

Schedule

Venue: Room 302A

Time:  20thAugust 2018, 09:00 - 12:20 AM

SUBSLOT

SPEAKER

TITLE

CHAIR

09:00 - 09:10

Esaú Villatoro

Welcome – Workshop opening

Hugo Jair Escalante

09:10 - 09:55

Invited speaker

Sergio Escalera

Apparent Personality Computing

Hugo Jair Escalante

09:55 - 10:15

Gabriela Ramírez

Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest.

Gabriela Ramírez, Esaú Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, Martha Larson, Henning Müller, and Isabelle Guyon

Hugo Jair Escalante

10:15 - 10:30

Ernesto Pérez Costa

Recognition of Apparent Personality traits from text and handwritten images.

Ernesto Pérez Costa, Luis Viilase?or-Pienda, Eduardo Morales, and Hugo Jair Escalante

Hugo Jair Escalante

10:30 - 11:00

Break

Coffee Break

Break

11:00 - 11:20

Hiram Calvo

Handwritten texts for Personality Identification Using Convolutional Neural Networks.

José E. Valdez-Rodríguez, Hiram Calvo, Edgardo M. Felipe-Riverón

Esaú Villatoro

11:20 - 11:40

Egils Avots

Multimodal Database of Emotional Speech, Video and Gestures.

Tomasz Sapinski, Dorota Kaminska, Adam Pelikant, Cagri Ozcinar, Egils Avots, and Gholamreza Anbarjafari

Esaú Villatoro

11:40 - 12:00

Rodrigo Rill

From Text to Speech: A Multimodal Cross-domain Approach for Deception Detection.

Rodrigo Rill-García, Luis Villase?or-Pineda, Verónica Reyes-Meza, and Hugo Jair Escalante

Esaú Villatoro

12:00 - 12:20

Hugo Jair Escalante

Farewell– Workshop closing and announcements

Esaú Villatoro