DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks

22 January 2018

Papers citing "DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks"

7 / 7 papers shown

Title
Learning Human Action Recognition Representations Without Real Humans Howard Zhong Samarth Mishra Donghyun Kim SouYoung Jin Rameswar Panda Hildegard Kuehne Leonid Karlinsky Venkatesh Saligrama Aude Oliva Rogerio Feris 24 3 0 10 Nov 2023
Context-Aware Sequence Alignment using 4D Skeletal Augmentation Taein Kwon Bugra Tekin Siyu Tang Marc Pollefeys 23 13 0 26 Apr 2022
Boundary-aware Self-supervised Learning for Video Scene Segmentation Jonghwan Mun Minchul Shin Gunsoo Han Sangho Lee S. Ha Joonseok Lee Eun-Sol Kim SSL 38 20 0 14 Jan 2022
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering Sateesh Kumar S. Haresh Awais Ahmed Andrey Konin M. Zia Quoc-Huy Tran SSL 22 46 0 27 May 2021
Learning by Aligning Videos in Time S. Haresh Sateesh Kumar Huseyin Coskun S. N. Syed Andrey Konin M. Zia Quoc-Huy Tran AI4TS 8 64 0 31 Mar 2021
t-EVA: Time-Efficient t-SNE Video Annotation Soroosh Poorgholi O. Kayhan J. C. V. Gemert 9 5 0 26 Nov 2020
Fine-grained Action Segmentation using the Semi-Supervised Action GAN Harshala Gammulle Simon Denman S. Sridharan Clinton Fookes GAN 6 36 0 20 Sep 2019