Reality Reimagined
AI Day 2023 is the pinnacle of excellence in AI, where the brightest minds from around the world gather to share their visionary insights. This year, our theme is Empower AI: "Reality Reimagined." Our dynamic presentations will spark your imagination and provide unparalleled insights into the future of Generative AI. With thought-provoking discussions led by esteemed experts, we'll delve deep into the forefront of AI and explore its profound impact on our world.
Five years ago, VinAI ignited a revolution by pioneering AI Day. Since then, this event has become the beacon of the local AI community, connecting it to global experts. Today, AI Day stands as Southeast Asia's premier AI event, celebrating the limitless potential of artificial intelligence to transform lives and reshape our world by reimagining our very reality.
AI Day 2023 is more than just an event; it's a platform where technology and human potential intersect. Join us as we unleash the transformative power of AI to redefine reality and empower individuals to reach new heights.
Our journey has been marked by collaboration and growth. Top-tier technology corporations have joined forces to elevate AI Day's scale and impact.
Let's make a difference together and embrace the boundless possibilities of AI while reimagining the very fabric of our reality. Welcome to AI Day 2023 – where innovation knows no bounds and reality is reimagined!
Our Distinguished Speakers
Sam Altman (Online)
CEO, OpenAI
Hung Bui
Founder & CEO, VinAI
Chris Manning
Professor of Computer Science and Linguistics, Stanford University
Martial Hebert
Dean and University Professor of Robotics, School of Computer Science, CMU
Christopher Nguyen
CEO and Co-Founder of Aitomatic
Simon Lucey
Director - Australian Institute for Machine Learning (AIML)
Anton van den Hengel
Director of Applied Science Amazon. Director of the Centre for Augmented Reasoning, University of Adelaide
Thang Luong
Senior Staff Research Scientist, Google DeepMind
Angela Yao
Assistant Professor, National University of Singapore
He He
Assistant Professor of Computer Science and Center for Data Science, New York University
Ayush Batra
Regional CTO, Sales and Marketing at Intel
Brian Bae
AWS Senior AI/ML Specialist for APAC/Japan Startups
Chomchana Trevai
Head of Artificial Intelligence and Machine Learning Business in ASEAN at AWS
Thai Duong
CEO and Co-Founder of Calif
Phung Viet Thang
Country Manager, Intel Vietnam
Tuan Cao
Co-founder and CEO of Genetica
Vy Le
Co-founder & General Partner at Do Ventures
Dinh Phung
Research Director, Data Science and AI, Monash University
Minh Hoai Nguyen
Head of Computer Vision Group, VinAI
Thuc Vu
Founder/CEO, OhmniLab - Kambria
Chris Clarkson
Senior Market Development Manager, AMD
Binh Tran
Commercial Lead, AMD
Hung Tran
Founder of Got It, Inc
Kai Yong Kang
Business Development Manager - Startups for AWS
Raymond Ng
AI Engineer, AI Singapore
Thanh Ngan Nguyen
AI Engineer, AI Singapore
Xian Bin Yong
AI Engineer, AI Singapore
Agenda
Our Sponsors and Partners
Previous sponsors & partners
Poster Hub
The presentations of research by VinAI authors at top-tier conferences
Many-to-Many Voice Conversion based Feature Disentanglement using Variational AutoencoderMany-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder
WaNet - Imperceptible Warping-based Backdoor AttackWaNet - Imperceptible Warping-based Backdoor Attack
Distributional Sliced-Wasserstein and Applications to Generative ModelingDistributional Sliced-Wasserstein and Applications to Generative Modeling
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov WassersteinImproving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup TransferLipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
Dictionary-guided Scene Text RecognitionDictionary-guided Scene Text Recognition
Explore Image Deblurring via Blur Kernel SpaceExplore Image Deblurring via Blur Kernel Space
Progressive Semantic SegmentationProgressive Semantic Segmentation
LAMDA: Label Matching Deep Domain Adaptation LAMDA: Label Matching Deep Domain Adaptation
Temporal Predictive Coding for Model-based Planning in Latent SpaceTemporal Predictive Coding for Model-based Planning in Latent Space
Exploiting Document Structures and Cluster Consistencies for Event Coreference ResolutionExploiting Document Structures and Cluster Consistencies for Event Coreference Resolution
Graph Convolutional Networks for Event CausalityIdentification with Rich Document-level StructuresGraph Convolutional Networks for Event CausalityIdentification with Rich Document-level Structures
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsingPhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal TransportTIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher LearningMOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning
Input-aware dynamic backdoor attackInput-aware dynamic backdoor attack
About the Organizer
The Global City, Do Xuan Hop Street, An Phu Ward, Thu Duc City, Ho Chi Minh City