Behavior in the Wild Readings []

``Behavior in the Wild (BinW)'' is an emerging research field. This writeup provides a quick introduction of BinW and maintains a collection of papers on the topic. If you find some missing papers or resources, please open issues or pull requests (recommended).

Table of Contents

• What is Behavior in the Wild (BinW)?
  • Goals of BinW
  • Benchmarks
  • News
• Papers on Computational Human Behavior
  • Memorable Media Generation
  • Media Memorability Prediction
• Datasets & Benchmarks
• Acknowledgements
• Contributing

What is Behavior in the Wild?

⭐ Goals of BinW

🎦 Benchmarks

📢 News

Papers on Computational Human Behavior

Memorable Media Generation

• Long-Term Ad Memorability: Understanding & Generating Memorable Ads [Paper] [Code]

  Harini S I, Somesh Singh, Yaman K Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy (WACV 2025)

  Modality Multimodal, Video, Speech, Image

• How to Make an Image More Memorable? A Deep Style Transfer Approach [Paper]

  Aliaksandr Siarohin, Gloria Zen, Cveta Majtanovic, et al. (ICMR, 2017)

  Modality: Image

Media Memorability Prediction

• Long-Term Ad Memorability: Understanding & Generating Memorable Ads [Paper] [Code]

  Harini S I, Somesh Singh, Yaman K Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy (WACV 2025)

  Modality Multimodal, Video, Speech, Image

• Modular Memorability: Tiered Representations for Video Memorability Prediction [Paper]

  Théo Dumont, Juan Segundo Hevia, Camilo L. Fosco. (CVPR, 2023)

  Modality: Video

• Overview of the MediaEval 2022 Predicting Video Memorability Task [Paper]

  Lorin Sweeney, Mihai Gabriel Constantin, Claire-Hélène Demarty, et al. (MediaEval, 2022)

  Modality: Video

• Image Memorability Prediction Using Depth and Motion Cues [Paper]

  Sathisha Basavaraju, Arijit Sur. (IEEE Transactions on Computational Social Systems, 2020)

  Modality: Image

• Videomem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability [Paper]

  Romain Cohendet, Claire-Hélène Demarty, Ngoc QK Duong, Martin Engilberge. (ICCV, 2019)

  Modality: Video

• Defining Image Memorability Using the Visual Memory Schema [Paper]

  Erdem Akagunduz, Adrian G Bors, Karla K Evans. (TPAMI, 2019)

  Modality: Image

• Show and Recall: Learning What Makes Videos Memorable [Paper]

  Sumit Shekhar, Dhruv Singal, Harvineet Singh, et al. (ICCV Workshops, 2017)

  Modality: Video

• Learning Computational Models of Video Memorability from fMRI Brain Imaging [Paper]

  Junwei Han, Changyuan Chen, et al. (Transactions on Cybernetics, 2014)

  Modality: Video

• Relative Spatial Features for Image Memorability [Paper]

  Jongpil Kim, Sejong Yoon, Vladimir Pavlovic. (ACM MM, 2013)

  Modality: Image

• What Makes a Photograph Memorable? [Paper]

  Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva. (TPAMI, 2013)

  Modality: Image

• The Intrinsic Memorability of Face Photographs [Paper] Wilma A Bainbridge, Phillip Isola, Aude Oliva. (Journal of Experimental Psychology: General, 2013)

  Modality: Image

Datasets & Benchmarks

• LAMBDA: Long-term Ad Memorability Prediction Dataset [Huggingface]

  • Tags: Ad Memorability Prediction, Multimodal, Video, Image, Speech

• UltraLAMBDA: Long-term Memorable Ad Generation Dataset [Huggingface]

  • Tags: Memorable Ad Generation, Multimodal, Video, Image, Speech

• Content Behavior Corpus [Huggingface]

  • Tags: Content Behavior, Multimodal, Video, Image, Speech

🍻 Acknowledgements

We thank all the authors above for their great works!

If you find this repository useful, please consider giving a star ⭐ and cite the related papers 🍺:

Contributing

We welcome contributions! Please follow the contribution guidelines to submit new papers, datasets, benchmark to media memorability.