Workshops on augmented, virtual, and mixed
reality; autonomous vehicles; healthcare advancements; and smart
cities demonstrate path toward solving critical questions in AI
research
LOS
ALAMITOS, Calif., May 1, 2024
/PRNewswire/ -- As the preeminent event for research and
development in computer vision, artificial intelligence (AI),
machine learning (ML), augmented, virtual and mixed reality
(AR/VR/MR), deep learning, and much more, the Computer Vision
and Pattern Recognition (CVPR) Conference annually reveals the
latest developments in the field. However, as research progresses,
so too does it introduce a litany of new questions. At CVPR 2024,
scheduled for 17-21 June at the Seattle Convention Center in Seattle, Wash., U.S.A., workshops will offer a
deeper investigation of some of the biggest obstacles facing the
field, evaluating the next generation of AI technologies and their
applications.
"Workshops are designed to explore topics from a
problem-resolution point of view," said Walter J. Scheirer, University of Notre Dame, Notre Dame, Ind., U.S.A., and CVPR 2024
General Chair. "These hands-on sessions encourage scientists and
engineers to chip away at issues plaguing computer vision and build
toward viable, efficient, and market-ready solutions."
For example, the following workshops speak to some of the
complex questions facing the industry:
- Automobiles: Virtual Humans for Robotics and Autonomous
Driving
CVPR Workshop: Populating Empty Cities – Virtual Humans for
Robotics and Autonomous Driving
In recent years, simulation
environments have emerged as a promising way to train autonomous
systems. However, the environments act like ghost cities—human
simulation is not included. Now, new avenues of human simulation
are experiencing great progress, particularly in human rendering,
reconstruction, animation, and motion synthesis with realism and
fast speed, begging the question: How can this progress in
virtual humans bring a new revolution in robotics and autonomous
driving?
- Entertainment/Consumer Electronics: Computer Vision for
Mixed Reality
CVPR Workshop: Workshop on Computer Vision
for Mixed Reality
New techniques applied in AR/VR/MR technologies, such as those in
Quest-3 and Apple Vision Pro, enable users to build deeply
immersive experiences which mix the virtual and the real world into
one. That blurring of lines begs for more realistic experiences,
even while MR poses a set of very unique research problems in
computer vision that are not covered by virtual reality. In this
workshop, participants from Meta Reality Labs and Google, among
others, explore: How can technology capture the real environment
around the user, reconstruct that environment with high fidelity,
and apply it in real-time?
- Healthcare: AI for Medical Imaging
CVPR
Workshop: Domain adaptation, Explainability and Fairness in
AI for Medical Image Analysis (DEF-AI-MIA)
In the past few years, deep learning techniques have made rapid
advances in many medical image analysis tasks. In pathology and
radiology applications, these approaches have managed to increase
the accuracy and precision of medical image assessment, which is
often considered subjective and not optimally reproducible, by
extracting more clinically relevant information from medical images
than what is possible in current routine clinical practice by human
assessors. With those developments in mind, this workshop seeks to
understand: What development and validation work lies ahead
before AI-based methods can be fully integrated and used in routine
clinical tasks?
- Smart Cities: AI City Challenge
CVPR Workshop: 8th
AI City Challenge
This workshop focuses on harnessing AI to
enhance operational efficiency in physical settings such as retail
environments and Intelligent Traffic Systems (ITS). It aims to
utilize AI for actionable insights from sensor data, like camera
feeds, to improve traffic safety and transportation outcomes. It
seeks to uncover: What approaches can enhance multi-camera
people tracking, traffic safety analysis, naturalistic driving
action recognition, fish-eye camera road object detection, and
motorcycle helmet rule violation detection?
In addition to AI City Challenge, other workshop
"challenge" sessions tackle open questions through competition.
Participants in these sessions strive to solve issues through new
experimental techniques, contending for the top ranking among
participating groups. Such workshops include: 2nd Workshop and
Challenge on DeepFake Analysis and Detection; GenAI Media
Generation Challenge for Computer Vision Workshop; and 4th
Workshop and Challenge on Computer Vision in the Built Environment
for the Design, Construction, and Operation of Buildings, among
others. A complete list of workshops can be found at
https://cvpr.thecvf.com/Conferences/2024/workshop-list.
"Competition in workshops fuels focus on outcomes and the
techniques that support their success," remarked Scheirer. "From
these sessions, ideas emerge, research paths are uncovered, and new
collaborations take shape. In many cases, this friendly competition
helps spark what's next on a particular topic."
Given the growing computer vision community and a large number
of CVPR workshops, this year, the Workshop Chairs grouped workshops
together into thematic "tracks," where workshops within each track
cover closely related topics and are spread out throughout the
schedule.
"Our goal in making these changes to the
workshops' schedule and organization was to help improve the
overall attendee experience," said Abhinav
Shrivastava, University of Maryland,
College Park, M.D., U.S.A.,
on behalf of the CVPR 2024 Workshop Chairs.
Registered media may attend workshops, which all take place on
17 or 18 June. To register for CVPR 2024 as a member of the press
and/or sign up for a specific workshop, visit
https://cvpr.thecvf.com/Conferences/2024/MediaPass. For more
information on the conference, visit https://cvpr.thecvf.com/.
About CVPR 2024
The Computer Vision and Pattern
Recognition Conference (CVPR) is the preeminent computer vision
event for new research in support of artificial intelligence (AI),
machine learning (ML), augmented, virtual and mixed reality
(AR/VR/MR), deep learning, and much more. Sponsored by the IEEE
Computer Society (CS) and the Computer Vision Foundation (CVF),
CVPR delivers the important advances in all areas of computer
vision and pattern recognition and the various fields and
industries they impact. With a first-in-class technical program,
including tutorials and workshops, a leading-edge expo, and robust
networking opportunities, CVPR, which is annually attended by more
than 10,000 scientists and engineers, creates a one-of-a-kind
opportunity for networking, recruiting, inspiration, and
motivation.
CVPR 2024 takes place 17-21 June at the Seattle Convention Center in Seattle, Wash., U.S.A., and participants may
also access sessions virtually. For more information about CVPR
2024, visit cvpr.thecvf.com.
About the Computer Vision Foundation
The Computer
Vision Foundation (CVF) is a non-profit organization whose purpose
is to foster and support research on all aspects of computer
vision. Together with the IEEE Computer Society, it co-sponsors the
two largest computer vision conferences, CVPR and the International
Conference on Computer Vision (ICCV). Visit thecvf.com for more
information.
About the IEEE Computer Society
Engaging computer
engineers, scientists, academia, and industry professionals from
all areas and levels of computing, the IEEE Computer Society (CS)
serves as the world's largest and most established professional
organization of its type. IEEE CS sets the standard for the
education and engagement that fuels continued global technological
advancement. Through conferences, publications, and programs that
inspire dialogue, debate, and collaboration, IEEE CS empowers,
shapes, and guides the future of not only its 375,000+ community
members, but the greater industry, enabling new opportunities to
better serve our world. Visit computer.org for more
information.
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SOURCE IEEE Computer Society