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Nashville, Tennessee
Conference
CVPR 2025
June 11 - 15, 2025
Nashville, Tennessee

Overview

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.

Sponsorship Details

Platinum
Booth 1001
Conference website
Related content

Accepted publications

Meet a scientist

Friday, June 13
June 13
10:00am - 10:30am
Research domains
- Computer vision
- Machine learning
- MLLMs
- Robotics

10:30am - 11:00am
Research domains
- Agents
- Autonomous robots
- Computer vision
- Embodied AI
- Estimation
- Gen AI
- Information retrieval
- Mapping
- MLLMs
- Robotic perception

11:00am - 11:30am
Research domains
- 3D vision
- Autonomous vehicles
- Computer vision
- Foundation models
- Geospatial
- Machine learning
- Manipulation
- MLLMs

11:30am - 12:00pm
Research domains
- Computer vision
- LLMs
- Machine learning
- Tamper media detection
- Visual document understanding

2:00pm - 2:30pm
Research domains
- Computer vision
- Embodied AI
- Machine learning
- MLLMs
- Multimodal
Saturday, June 14
June 14
10:00am - 10:30am
Research domains
- Autonomous vehicles
- Computer vision
- Foundation models

10:30am - 11:00am
Research domains
- Audio/Visual Gen AI
- 3D vision
- Autonomous robots
- Computer vision
- Embodied AI
- Machine learning
- MLLMs
- Robotics
- Robotic perception

11:00am - 11:30am
Research domains
- Agents
- Computer vision
- Gen AI
- LLMs
- Machine learning
- MLLMs
- Multimodal search
- Robotics

11:30am - 12:00pm
Research domains
- Agents
- Computer vision
- Estimation
- Few-shot learning
- Gen AI
- LLMs
- Localization
- Mapping
- MLLMs
- Multimodal
- VLM

2:00pm - 2:30pm
Research domains
- Computer vision
- Machine learning
- Tamper media detection
- Video super resolution
- Visual document understanding
Sunday, June 15
June 15
10:00am - 10:30am
Research domains
- Autonomous vehicles
- Computer vision
- Foundation models
- MLLMs
- Video super resolution
- VLM

10:30am - 11:00am
Research domains
- Computer vision
- Gen AI
- Machine learning
- Manipulation
- MLLMs
- Robotics

11:00am - 11:30am
Research domains
- 3D Vision
- Agents
- Computer vision
- LLMs
- Localization
- Machine learning
- MLLMs

11:30am - 12:00pm
Research domains
- Agents
- Computer vision
- Diffusion
- MLLMs

2:00pm - 2:30pm
Research domains
- Computer vision
- Embodied perception
- Information retrieval
- LLMs
- Machine learning
- MLLMs

Work with us

Internships can be found through Amazon.jobs. For available position(s) that match your science interest and degree you can apply here. Note: Our recruiting team will review applications for team matches and be in contact when there is a potential fit.
Principal Applied Scientist, AGI Foundations
US, CA, Sunnyvale
As a Principal Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
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