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Video contents have become a critical tool for promoting products in E-commerce. However, the lack of automatic promotional video generation solutions makes large-scale video-based promotion campaigns infeasible. The first step of…

Multimedia · Computer Science 2021-03-31 Chang Liu , Yi Dong , Han Yu , Zhiqi Shen , Zhanning Gao , Pan Wang , Changgong Zhang , Peiran Ren , Xuansong Xie , Lizhen Cui , Chunyan Miao

Prompt engineering has made significant contributions to the era of large language models, yet its effectiveness depends on the skills of a prompt author. This paper introduces $\textit{iPrOp}$, a novel interactive prompt optimization…

Computation and Language · Computer Science 2025-06-30 Jiahui Li , Roman Klinger

Creating and monitoring competitive and cost-effective pay-per-click advertisement campaigns through the web-search channel is a resource demanding task in terms of expertise and effort. Assisting or even automating the work of an…

Information Retrieval · Computer Science 2015-03-20 Stamatina Thomaidou , Michalis Vazirgiannis , Kyriakos Liakopoulos

Data-rich documents are ubiquitous in various applications, yet they often rely solely on textual descriptions to convey data insights. Prior research primarily focused on providing visualization-centric augmentation to data-rich documents.…

Human-Computer Interaction · Computer Science 2025-02-07 Ruishi Zou , Yinqi Tang , Jingzhu Chen , Siyu Lu , Yan Lu , Yingfan Yang , Chen Ye

In the online advertising industry, the process of designing an ad creative (i.e., ad text and image) requires manual labor. Typically, each advertiser launches multiple creatives via online A/B tests to infer effective creatives for the…

Computation and Language · Computer Science 2020-12-03 Shaunak Mishra , Manisha Verma , Yichao Zhou , Kapil Thadani , Wei Wang

Text-to-image models have made significant strides, producing impressive results in generating images from textual descriptions. However, creating a scalable pipeline for deploying these models in production remains a challenge. Achieving…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Parmida Atighehchian , Henry Wang , Andrei Kapustin , Boris Lerner , Tiancheng Jiang , Taylor Jensen , Negin Sokhandan

Hardware accelerators, especially those designed for tensor processing, have become ubiquitous in today's computing landscape. However, even with significant efforts in building compilers, programming these tensor accelerators remains…

Programming Languages · Computer Science 2025-11-07 Charles Hong , Sahil Bhatia , Alvin Cheung , Yakun Sophia Shao

Product copywriting is a critical component of e-commerce recommendation platforms. It aims to attract users' interest and improve user experience by highlighting product characteristics with textual descriptions. In this paper, we report…

Computation and Language · Computer Science 2021-12-23 Xueying Zhang , Yanyan Zou , Hainan Zhang , Jing Zhou , Shiliang Diao , Jiajia Chen , Zhuoye Ding , Zhen He , Xueqi He , Yun Xiao , Bo Long , Han Yu , Lingfei Wu

In web data, advertising images are crucial for capturing user attention and improving advertising effectiveness. Most existing methods generate background for products primarily focus on the aesthetic quality, which may fail to achieve…

Researchers often summarize their work in the form of scientific posters. Posters provide a coherent and efficient way to convey core ideas expressed in scientific papers. Generating a good scientific poster, however, is a complex and time…

Computer Vision and Pattern Recognition · Computer Science 2017-02-22 Yu-ting Qiang , Yanwei Fu , Xiao Yu , Yanwen Guo , Zhi-Hua Zhou , Leonid Sigal

Lexically constrained text generation is one of the constrained text generation tasks, which aims to generate text that covers all the given constraint lexicons. While the existing approaches tackle this problem using a lexically…

Computation and Language · Computer Science 2024-08-13 Hayate Iso

Automated academic poster generation aims to distill lengthy research papers into concise, visually coherent presentations. Existing Multimodal Large Language Models (MLLMs) based approaches, however, suffer from three critical limitations:…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Wenxin Tang , Jingyu Xiao , Yanpei Gong , Fengyuan Ran , Tongchuan Xia , Junliang Liu , Man Ho Lam , Wenxuan Wang , Michael R. Lyu

When selecting ideas or trying to find inspiration, designers often must sift through hundreds or thousands of ideas. This paper provides an algorithm to rank design ideas such that the ranked list simultaneously maximizes the quality and…

Information Retrieval · Computer Science 2017-09-08 Faez Ahmed , Mark Fuge

The notable gap between user-provided and model-preferred prompts poses a significant challenge for generating high-quality images with text-to-image models, compelling the need for prompt engineering. Current studies on prompt engineering…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Shiyu Wu , Mingzhen Sun , Weining Wang , Yequan Wang , Jing Liu

Optimizing software performance through automated code refinement offers a promising avenue for enhancing execution speed and efficiency. Despite recent advancements in LLMs, a significant gap remains in their ability to perform in-depth…

Software Engineering · Computer Science 2025-01-30 Manish Acharya , Yifan Zhang , Kevin Leach , Yu Huang

Adblocking relies on filter lists, which are manually curated and maintained by a community of filter list authors. Filter list curation is a laborious process that does not scale well to a large number of sites or over time. In this paper,…

Machine Learning · Computer Science 2023-03-09 Hieu Le , Salma Elmalaki , Athina Markopoulou , Zubair Shafiq

Photopolymerization-based additive manufacturing enables cost-effective, high-speed fabrication of complex 3D structures but is constrained by a trade-off between resolution and printing speed. Single-photon polymerization ensures rapid…

Optics · Physics 2026-01-21 Buse Unlu , Felix Wechsler , Ye Pu , Christophe Moser

Effective poster design requires rapidly capturing attention and clearly conveying messages. Inspired by the ``contrast effects'' principle, we propose ReContraster, the first training-free model to leverage regional contrast to make…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Peixuan Zhang , Zijian Jia , Ziqi Cai , Shuchen Weng , Si Li , Boxin Shi

In the era of content creation revolution propelled by advancements in generative models, the field of web design remains unexplored despite its critical role in modern digital communication. The web design process is complex and often…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Zirui Shao , Feiyu Gao , Hangdi Xing , Zepeng Zhu , Zhi Yu , Jiajun Bu , Qi Zheng , Cong Yao

Composed pose retrieval (CPR) enables users to search for human poses by specifying a reference pose and a transition description, but progress in this field is hindered by the scarcity and inconsistency of annotated pose transitions.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Yi-Ting Shen , Sungmin Eum , Doheon Lee , Rohit Shete , Chiao-Yi Wang , Heesung Kwon , Shuvra S. Bhattacharyya