ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.13353
  4. Cited By
Unsupervised Action Segmentation by Joint Representation Learning and
  Online Clustering

Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering

27 May 2021
Sateesh Kumar
S. Haresh
Awais Ahmed
Andrey Konin
M. Zia
Quoc-Huy Tran
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering"

8 / 8 papers shown
Title
Improving action segmentation via explicit similarity measurement
Improving action segmentation via explicit similarity measurement
Kamel Aouaidjia
Wenhao Zhang
Aofan Li
Chongsheng Zhang
39
0
0
15 Feb 2025
Hierarchical Vector Quantization for Unsupervised Action Segmentation
Hierarchical Vector Quantization for Unsupervised Action Segmentation
Federico Spurio
Emad Bahrami
Gianpiero Francesca
Juergen Gall
39
0
0
23 Dec 2024
Video LLMs for Temporal Reasoning in Long Videos
Video LLMs for Temporal Reasoning in Long Videos
Fawad Javed Fateh
Umer Ahmed
Hamza Khan
M. Zia
Quoc-Huy Tran
VLM
81
0
0
04 Dec 2024
Locality-aware Cross-modal Correspondence Learning for Dense Audio-Visual Events Localization
Locality-aware Cross-modal Correspondence Learning for Dense Audio-Visual Events Localization
Ling Xing
Hongyu Qu
Rui Yan
Xiangbo Shu
Jinhui Tang
45
0
0
12 Sep 2024
Siamese Learning with Joint Alignment and Regression for
  Weakly-Supervised Video Paragraph Grounding
Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
Chaolei Tan
Jian-Huang Lai
Wei-Shi Zheng
Jianfang Hu
AI4TS
36
5
0
18 Mar 2024
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains
Rohan Myer Krishnan
Zitian Tang
Zhiqiu Yu
Chen Sun
40
1
0
30 Nov 2023
Leveraging triplet loss for unsupervised action segmentation
Leveraging triplet loss for unsupervised action segmentation
Elena Belén Bueno-Benito
Biel Tura Vecino
Mariella Dimiccoli
22
7
0
13 Apr 2023
Timestamp-Supervised Action Segmentation with Graph Convolutional
  Networks
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
Hamza Khan
S. Haresh
Awais Ahmed
Shakeeb Siddiqui
Andrey Konin
Mohammad Zeeshan
Quoc-Huy Tran
11
22
0
30 Jun 2022
1