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After the release of several widely adopted artificial intelligence (AI) literacy guidelines by 2021, the unprecedented rise of generative AI since 2023 has transformed the way we work and acquire information worldwide. Unlike traditional…

Human-Computer Interaction · Computer Science 2025-10-21 Chengzhi Zhang , Brian Magerko

Modern vision models excel at general purpose downstream tasks. It is unclear, however, how they may be used for personalized vision tasks, which are both fine-grained and data-scarce. Recent works have successfully applied synthetic data…

Computer Vision and Pattern Recognition · Computer Science 2024-12-23 Shobhita Sundaram , Julia Chae , Yonglong Tian , Sara Beery , Phillip Isola

Personalization has become an essential capability in modern AI systems, enabling customized interactions that align with individual user preferences, contexts, and goals. Recent research has increasingly concentrated on Retrieval-Augmented…

Traditional online industrial advertising systems suffer from the limitations of multi-stage cascaded architectures, which often discard high-potential candidates prematurely and distribute decision logic across disconnected modules. While…

Information Retrieval · Computer Science 2025-06-03 Zuowu Zheng , Ze Wang , Fan Yang , Jiangke Fan , Teng Zhang , Yongkang Wang , Xingxing Wang

Generative design, an AI-assisted technology for optimizing design through algorithmic processes, is propelling advancements across numerous fields. As the use of immersive environments such as Augmented Reality (AR) continues to rise,…

Human-Computer Interaction · Computer Science 2025-03-28 Sora Kang , Kaiwen Yu , Xinyi Zhou , Joonhwan Lee

The future of digital marketing lies in the convergence of human creativity and generative AI, where insight, strategy, and storytelling are co-authored by intelligent systems. We present MindFuse, a brave new explainable generative AI…

Multimedia · Computer Science 2025-12-05 Aleksandr Farseev , Marlo Ongpin , Qi Yang , Ilia Gossoudarev , Yu-Yi Chu-Farseeva , Sergey Nikolenko

How will generative AI pay for itself? Unless charging users for access, selling advertising is the only alternative. Especially in the multi-billion dollar web search market with ads as the main source of revenue, the introduction of a…

Information Retrieval · Computer Science 2023-10-10 Ines Zelch , Matthias Hagen , Martin Potthast

As large language models (LLMs) become increasingly capable of generating persuasive content, understanding their effectiveness across different advertising strategies becomes critical. This paper presents a two-part investigation examining…

Computers and Society · Computer Science 2025-12-04 Elyas Meguellati , Stefano Civelli , Lei Han , Abraham Bernstein , Shazia Sadiq , Gianluca Demartini

In e-commerce advertising, selecting the most compelling combination of creative elements -- such as titles, images, and highlights -- is critical for capturing user attention and driving conversions. However, existing methods often…

Machine Learning · Computer Science 2025-08-14 Qiaolei Gu , Yu Li , DingYi Zeng , Lu Wang , Ming Pang , Changping Peng , Zhangang Lin , Ching Law , Jingping Shao

Generative Recommendation (GR) has excelled by framing recommendation as next-token prediction. This paradigm relies on Semantic IDs (SIDs) to tokenize large-scale items into discrete sequences. Existing GR approaches predominantly generate…

Information Retrieval · Computer Science 2026-05-22 Jie Jiang , Xinxun Zhang , Enming Zhang , Yuling Xiong , Jun Zhang , Jingwen Wang , Huan Yu , Yuxiang Wang , Hao Wang , Xiao Yan , Jiawei Jiang

AI systems have increasingly become our gateways to the Internet. We argue that just as advertising has driven the monetization of web search and social media, so too will commercial incentives shape the content served by AI. Unlike…

Artificial Intelligence · Computer Science 2025-05-27 Menghua Wu , Yujia Bao

Recent developments in prompt-based generative AI has given rise to discourse surrounding the perceived ethical concerns, economic implications, and consequences for the future of cultural production. As generative imagery becomes pervasive…

Human-Computer Interaction · Computer Science 2024-03-05 Nina Rajcic , Maria Teresa Llano , Jon McCormack

Generating videos for visual storytelling can be a tedious and complex process that typically requires either live-action filming or graphics animation rendering. To bypass these challenges, our key idea is to utilize the abundance of…

Computer Vision and Pattern Recognition · Computer Science 2023-07-14 Yingqing He , Menghan Xia , Haoxin Chen , Xiaodong Cun , Yuan Gong , Jinbo Xing , Yong Zhang , Xintao Wang , Chao Weng , Ying Shan , Qifeng Chen

Text-based prompting remains the predominant interaction paradigm in generative AI, yet it often introduces friction for novice users such as small business owners (SBOs), who struggle to articulate creative goals in domain-specific…

Human-Computer Interaction · Computer Science 2025-04-23 Nimisha Karnatak , Adrien Baranes , Rob Marchant , Huinan Zeng , Tríona Butler , Kristen Olson

The task of image generation started to receive some attention from artists and designers to inspire them in new creations. However, exploiting the results of deep generative models such as Generative Adversarial Networks can be long and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-05 Baptiste Rozière , Morgane Riviere , Olivier Teytaud , Jérémy Rapin , Yann LeCun , Camille Couprie

Video generation models, as one form of world models, have emerged as one of the most exciting frontiers in AI, promising agents the ability to imagine the future by modeling the temporal evolution of complex scenes. In autonomous driving,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Yang Zhou , Hao Shao , Letian Wang , Zhuofan Zong , Hongsheng Li , Steven L. Waslander

Advertisement videos serve as a rich and valuable source of purpose-driven information, encompassing high-quality visual, textual, and contextual cues designed to engage viewers. They are often more complex than general videos of similar…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Zheyuan Zhang , Monica Dou , Linkai Peng , Hongyi Pan , Ulas Bagci , Boqing Gong

Today's video-conferencing tools support a rich range of professional and social activities, but their generic meeting environments cannot be dynamically adapted to align with distributed collaborators' needs. To enable end-user…

Human-Computer Interaction · Computer Science 2024-10-02 Shwetha Rajaram , Nels Numan , Balasaravanan Thoravi Kumaravel , Nicolai Marquardt , Andrew D. Wilson

Effective multi-shot generation demands purposeful, film-like transitions and strict cinematic continuity. Current methods, however, often prioritize basic visual consistency, neglecting crucial editing patterns (e.g., shot/reverse shot,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Jingwen He , Hongbo Liu , Jiajun Li , Ziqi Huang , Yu Qiao , Wanli Ouyang , Ziwei Liu

Urban design is a multifaceted process that demands careful consideration of site-specific constraints and collaboration among diverse professionals and stakeholders. The advent of generative artificial intelligence (GenAI) offers…

Artificial Intelligence · Computer Science 2025-06-02 Mingyi He , Yuebing Liang , Shenhao Wang , Yunhan Zheng , Qingyi Wang , Dingyi Zhuang , Li Tian , Jinhua Zhao