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Waikoloa, Hawaii
Conference
WACV 2023
January 3 - 7, 2023
Waikoloa, Hawaii

Overview

The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) is one of the premier international computer vision events, comprising the main conference and several co-located workshops and tutorials.

Sponsorship Details

Platinum
Conference website
Related research

Accepted publications

Workshops

WACV 2023 Workshop on Pretraining Large Vision and Multimodal Models
January 3
This workshop centers on pretraining for vision and language models, including both computer vision and multimodal applications.

Amazon speaker: R. Manmatha

Amazon organizers: Emily Webber, Corey Barret, Arjun Balasubramanian, Can Karakus

Amazon program committee: Larry Davis, Son Tran, Raffay Hamid, Ali Jahanian

Website: https://sites.google.com/view/wacv2023-workshop
MixGen: A new multi-modal data augmentation
Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
2023
Computer vision
RarePlanes soar higher: Self-supervised pretraining for resource constrained and synthetic datasets
Justin Downes, Will Gleave, Dan Nakada
2022
Computer vision
Scalable and accurate self-supervised multimodal representation learning without aligned video and text data
Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza
2023
Computer vision
WACV 2023 Workshop on Dealing with Novelty in Open Worlds (DNOW)
January 3
This workshop invites researchers to stimulate fruitful discussions to move forward computer vision research in open worlds.
k-NN embedded space conditioning for enhanced few-shot object detection
Stefan Matcovici, Daniel Voinea, Alin-Ionut Popa
2023
Computer vision
WACV 2023 3rd Workshop on Real-World Surveillance: Applications and Challenges (RWS)
January 3 - January 7
Computer vision methods trained on public databases demonstrate performance drift when deployed for real-world surveillance, compared to their initial results on the test set of those employed databases. In this workshop, we are interested in papers reporting their experimental results on any application of computer vision in real-world surveillance.
An automated and scalable ML solution for mapping invasive species: The case of the Australian tree fern in Hawaiian forests
Ovidiu Dan Iancu, Kara Yang, Han Man, Theresa Cabrera Menard
2023
Computer vision
WACV 2023 Workshop on Video/Audio Quality in Computer Vision
January 7
This workshop addresses topics related to video/audio quality in machine learning and computer vision.

Amazon organizers: Yarong Feng, Yuan Ling, Zongyi (Joe) Liu, Hai Wei, Yixu Chen

Website: https://sites.google.com/view/wacv2023-workshop-quality-va
A simple and efficient method for dubbed audio sync detection using compressive sensing
Avijit Vajpayee, Zhikang Zhang, Abhinav Jain, Vimal Bhat
2023
Computer vision
Can machines learn to map creative videos to marketing campaigns?
Jarod Wang, Chirag Mandaviya
2023
Computer vision
Face image quality for actor profile image curation
Yash Pandya, Abhinav Aggarwal, Manivel Sethu, Laxmi S. Ahire, Kaustav Nandy
2023
Computer vision
Image quality assessment using semi-supervised representation learning
Vishnu Prabhakaran, Gokul Swamy
2023
Computer vision
On the importance of spatio-temporal learning for video quality assessment
Dario Fontanel, David Higham, Benoit Quentin Arthur Vallade
2023
Computer vision
Subjective and objective video quality assessment of high dynamic range sports content
Zaixi Shang, Yixu Chen, Yongjun Wu, Hai Wei, Sriram Sethuraman
2023
Computer vision
WACV 2023 Workshop on Monocular Depth Estimation Challenge
January 7
The workshop will consist of two parts: invited keynote talks discussing current developments in MDE and a challenge organized around a novel benchmarking procedure using the SYNS dataset.

Amazon organizer: Chris Russell

Website: https://jspenmar.github.io/MDEC

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JP, 13, Tokyo
We are seeking a Principal Economist to be the science leader in Amazon's customer growth and engagement. The wide remit covers Prime, delivery experiences, loyalty program (Amazon Points), and marketing. We look forward to partnering with you to advance our innovation on customers’ behalf. Amazon has a trailblazing track record of working with Ph.D. economists in the tech industry and offers a unique environment for economists to thrive. As an economist at Amazon, you will apply the frontier of econometric and economic methods to Amazon’s terabytes of data and intriguing customer problems. Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves. In this role, you will build ground-breaking, state-of-the-art econometric models to guide multi-billion-dollar investment decisions around the global Amazon marketplaces. You will own, execute, and expand a research roadmap that connects science, business, and engineering and contributes to Amazon's long term success. As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon’s economist community in Asia. The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced and ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results. Key job responsibilities - Work with Product, Finance, Data Science, and Data Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches. - Innovate on how Amazon can leverage data analytics to better serve our customers through selection and pricing. - Contribute to building a strong data science community in Amazon Asia. We are open to hiring candidates to work out of one of the following locations: Tokyo, 13, JPN
Economist II, Science and Economics for Recruiting Effectiveness
US, VA, Arlington
The economics team within Talent Acquisition and Recruiting Engine uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which uses a range of approaches to develop and deliver solutions that measurably achieve this goal. We are looking for an Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. They will produce robust, objective research results and insights which can be communicated to a broad audience inside and outside of Amazon. Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work well in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams. Ideal candidates will own the development of scientific models and manage the data analysis, modeling, and experimentation that is necessary for estimating and validating the model. They will be customer-centric – clearly communicating scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Phoenix, AZ, USA | Seattle, WA, USA
Economist, Device Economics
US, VA, Arlington
Device Economics (DEcon) is looking for an economist experienced in causal inference, empirical industrial organization, forecasting, and scaled systems to work on business problems to advance critical resource allocation and pricing decisions in the Amazon Devices org. Output will be included in scaled systems to automate existing processes and to maximize business and customer objectives. Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches and new marketplace launches. The Device Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more. Device Economics seeks an economist adept in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, and drive rigor. The candidate will work with Amazon Devices science leadership to refine science roadmaps, models, and priorities for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions. Effective communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA
Economist, Global Media and Entertainment (GME) Econ
US, WA, Seattle
Amazon’s Global Media and Entertainment (GME) organization is creating the future of entertainment where creative content, innovation, and commerce come together. We leverage Amazon’s unique expertise across video, music, gaming, and more to create a truly immersive entertainment experience. Our team, GME Economics, is focused on building strategic science tools to optimize Amazon’s entertainment offerings, so that we can provide a great customer experience while operating as a sustainable and profitable business. This role will build and expand long-term measurement models serving all GME businesses, making strong causal inference skills essential. The GME business context is complex, ambiguous, and can change quickly. You'll need to be adaptable and resourceful, converting complex business problems into estimable econometric problems, and building solutions that anticipate future business needs. Once the model is built, you'll partner hands-on with engineers to productionize it, ensuring the output is high quality and that computation is efficient. Our team values excellent written and verbal communication with partners of all levels, with technical and nontechnical backgrounds. You'll need to translate data and findings into actionable insights for leaders with the same skill that you explain the nuances of your identification assumptions to scientists, or describe the logical flow of your estimations to engineers. Our healthy team culture is supportive and fast-paced, and we prioritize learning, growth, and helping each other to continuously raise the bar. We think big, taking on high-risk, high-reward projects based on novel scientific approaches. As a central science team, we work hard to build trust with partners, who always have fresh problems for us to tackle. Impact and Career Growth: In today’s entertainment landscape, critical decisions are made with data and economic models. You’ll help leaders ask the right questions, and then deliver data-driven answers, creating the future of GME at Amazon. You’ll help define a long-term science vision and translate it into an actionable roadmap. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding – a perfect recipe for career growth as an economist in tech. Key job responsibilities • Design and build econometric models, especially causal models, to measure the value of the business and its many features • Develop science products from concept to prototype to production, incorporating feedback from scientists and business partners • Independently identify and pursue new opportunities to leverage economic insights across GME businesses • Collaborate with PMs to build product roadmaps, ensuring our work meets the needs of our stakeholders and then communicating progress and findings to them • Write business and technical documents communicating business context, methods, and results to business leadership and other scientists • Work with engineers within and outside our org to productionize science models • Serve as a technical reviewer for our team and related teams, including document and code reviews We are open to hiring candidates to work out of one of the following locations: Los Angeles, CA, USA | New York, NY, USA | Seattle, WA, USA
Sr. Economist , Customer Behavior Analytics
US, WA, Seattle
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in the future of Amazon's Retail business? This job for you! The Customer Behavior Analytics (CBA) team at Amazon is responsible for the architecture, design, implementation of tools used to understand customer behavior and value generation for all Amazon programs. Come and join us! Amazon’s CBA team is looking for Economists, who can work at the intersection of economics, statistics and machine learning; and leverage the power of big data to solve complex problems like long-term causal effect estimation. Key job responsibilities Economists at Amazon are expected to work directly with other Economists and senior management on key business problems in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
Economist, Prime Video
US, WA, Seattle
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery. Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe? As part of the Prime Video team, you’ll get to work on projects that are fast-paced, challenging, and varied. Also, you’ll get to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you! The Prime Video Science team uses machine learning, econometrics, and data science to optimize Amazon’s streaming-video catalogue, driving customer engagement and Prime member acquisition. We generate insights to guide Amazon’s digital-video strategy. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to understand customer content taste, predict their engagement patterns and optimize their customer journeys. We are seeking an outstanding economist to measure how Prime Video delights our customers and to help define the strategy that will make Prime Video a must-have service for users around the world. As an Economist on the team, you will work closely with our business and finance stakeholders, as well as the other members of our team, to shape and deliver a roadmap of economic models and experimentation for the team. Your frameworks will be leveraged to inform critical decisions for the business. Key job responsibilities - Build economic models to measure the causal impact of customer engagement in Prime Video. - Create models that allow an optimization of customer journeys across Prime video. - Design experiments to test our hypotheses and validate the outputs of our models. - Collaborate with other Scientists and Economists on our team to enhance our existing suite of models. We are open to hiring candidates to work out of one of the following locations: Culver City, CA, USA | Seattle, WA, USA
Economist - II, PXT Central Science
US, VA, Arlington
The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are looking for economists who are able to work with business partners to hone complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates will work closely with business partners to develop science that solves the most important business challenges. They will work in a team setting with individuals from diverse disciplines and backgrounds. They will serve as an ambassador for science and a scientific resource for business teams, so that scientific processes permeate throughout the HR organization to the benefit of Amazonians and Amazon. Ideal candidates will own the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. Key job responsibilities Use causal inference methods to evaluate the impact of policies on employee outcomes. Examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. Use scientifically rigorous methods to develop and recommend career paths for employees. A day in the life Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team We are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA
Economist, PXT Central Science
US, WA, Seattle
The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are looking for economists who are able to apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. Key job responsibilities Use causal inference methods to evaluate the impact of policies on employee outcomes. Examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. Use scientifically rigorous methods to develop and recommend career paths for employees. A day in the life Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team We are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA
Senior Economist, Ad Measurements Science
US, NY, New York
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. Passionate about Causal Inference and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day). In this role, you will be one of the key Economists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend. As an Economist on this team, you will: - Leverage ML models to build economic models that help customers leverage Amazon’s Advertising solutions most effectively. - Improve our understanding of the advertisers on Amazon through the use of an opt-in Shopper Panel. - Work with Economists, Applied Scientists, Data Scientists to develop and guide roadmaps. - Design and analyze experiments (A/B testing etc.) to evaluate different strategies - Use large datasets or experiments to make causal inferences or predictions - Work with engineers to automate science analysis processes and build scalable measurement solutions - Review and audit modeling processes and results for other scientists, both junior and senior. - Partner with other science leaders throughout Amazon to develop consistent and repeatable solutions. - Communicate with org leaders and business/engineering teams for models, experiments and data analysis. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA
Economist, Prime Video Marketing Science
US, CA, Culver City
Amazon is looking for an Economist - Marketing Science to uncover the impact of Prime Video's Global Marketing efforts, and assess their effects on customer viewership behavior. Prime Video is shaping the future of video entertainment, by offering customers a wide and eclectic catalog, including an ever-increasing slate of Amazon Originals. Our mission is to build the widest selection of digital video content and make it trivially easy for customers to enjoy great content wherever and whenever they want. To help fulfill this mission, the Marketing Science team aims to drive decision-making on Global Prime Video marketing efforts by delivering sophisticated marketing measurement models. As an Economist on the team, you will work closely with our business and finance stakeholders, as well as the other members of our team, to shape and deliver a roadmap of economic models and experimentation for the team. Your frameworks will be leveraged to inform critical decisions for the business, such as 'how much should we invest in marketing globally?', 'what is the value of each $ of marketing activity on each channel?', and 'what is the impact of Brand marketing?'. Key job responsibilities - Build economic models to quantify the causal impact of marketing actions - both Above-the-line (ATL) and Below-the-line (BTL) - on customer viewership and acquisition. - Design experiments to test our hypotheses and validate the outputs of our models. - Create models that allow an optimization of our marketing budget across titles and territories. - Collaborate with other Scientists and Economists on our team to enhance our existing suite of models and get smarter about marketing decision-making. We are open to hiring candidates to work out of one of the following locations: Culver City, CA, USA | Seattle, WA, USA
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