File(s) not publicly available

Person Recognition in Personal Photo Collections

journal contribution
posted on 2023-11-29, 18:07 authored by Seong Joon Oh, Rodrigo Benenson, Mario FritzMario Fritz, Bernt Schiele
People nowadays share large parts of their personal lives through social media. Being able to automatically recognise people in personal photos may greatly enhance user convenience by easing photo album organisation. For human identification task, however, traditional focus of computer vision has been face recognition and pedestrian re-identification. Person recognition in social media photos sets new challenges for computer vision, including non-cooperative subjects (e.g., backward viewpoints, unusual poses) and great changes in appearance. To tackle this problem, we build a simple person recognition framework that leverages convnet features from multiple image regions (head, body, etc.). We propose new recognition scenarios that focus on the time and appearance gap between training and testing samples. We present an in-depth analysis of the importance of different features according to time and viewpoint generalisability. In the process, we verify that our simple approach achieves the state of the art result on the PIPA [1] benchmark, arguably the largest social media based benchmark for person recognition to date with diverse poses, viewpoints, social groups, and events. Compared the conference version of the paper [2] , this paper additionally presents (1) analysis of a face recogniser (DeepID2+ [3] ), (2) new method naeil2 that combines the conference version method naeil and DeepID2+ to achieve state of the art results even compared to post-conference works, (3) discussion of related work since the conference version, (4) additional analysis including the head viewpoint-wise breakdown of performance, and (5) results on the open-world setup.


Preferred Citation

Seong Oh, Rodrigo Benenson, Mario Fritz and Bernt Schiele. Person Recognition in Personal Photo Collections. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2020.

Primary Research Area

  • Trustworthy Information Processing

Legacy Posted Date



IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)


203 - 220

Open Access Type

  • Unknown

Sub Type

  • Article


@article{cispa_all_3011, title = "Person Recognition in Personal Photo Collections", author = "Oh, Seong Joon and Benenson, Rodrigo and Fritz, Mario and Schiele, Bernt", journal="{IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}", year="2020", }

Usage metrics


    No categories selected


    Ref. manager