1 code implementation • ECCV 2020 • Minho Shim, Hsuan-I Ho, Jinhyung Kim, Dongyoon Wee
Person re-identification (re-ID) is the problem of visually identifying a person given a database of identities.
Image-To-Video Person Re-Identification Video-Based Person Re-Identification
no code implementations • 2 Jun 2023 • Minho Shim, Taeoh Kim, Jinhyung Kim, Dongyoon Wee
Summarizing a video requires a diverse understanding of the video, ranging from recognizing scenes to evaluating how much each frame is essential enough to be selected as a summary.
no code implementations • CVPR 2023 • Pilhyeon Lee, Taeoh Kim, Minho Shim, Dongyoon Wee, Hyeran Byun
Temporal action detection aims to predict the time intervals and the classes of action instances in the video.
no code implementations • 30 Jun 2022 • Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee
The magnitude of augmentation operations on each frame is changed by an effective mechanism, Fourier Sampling that parameterizes diverse, smooth, and realistic temporal variations.
no code implementations • 8 Apr 2022 • Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim
FreqAug stochastically removes specific frequency components from the video so that learned representation captures essential features more from the remaining information for various downstream tasks.
no code implementations • ECCV 2018 • Minho Shim, Young Hwi Kim, Kyung-Min Kim, Seon Joo Kim
A major obstacle in teaching machines to understand videos is the lack of training data, as creating temporal annotations for long videos requires a huge amount of human effort.