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. 2203.03971
  4. Cited By
Universal Prototype Transport for Zero-Shot Action Recognition and
  Localization

Universal Prototype Transport for Zero-Shot Action Recognition and Localization

8 March 2022
Pascal Mettes
ArXivPDFHTML

Papers citing "Universal Prototype Transport for Zero-Shot Action Recognition and Localization"

13 / 13 papers shown
Title
OpenTAL: Towards Open Set Temporal Action Localization
OpenTAL: Towards Open Set Temporal Action Localization
Wentao Bao
Qi Yu
Yu Kong
EDL
45
26
0
10 Mar 2022
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman
Andrew Westbury
Eugene Byrne
Zachary Chavis
Antonino Furnari
...
Mike Zheng Shou
Antonio Torralba
Lorenzo Torresani
Mingfei Yan
Jitendra Malik
EgoV
343
1,056
0
13 Oct 2021
Elaborative Rehearsal for Zero-shot Action Recognition
Elaborative Rehearsal for Zero-shot Action Recognition
Shizhe Chen
Dong Huang
VLM
44
94
0
05 Aug 2021
ViViT: A Video Vision Transformer
ViViT: A Video Vision Transformer
Anurag Arnab
Mostafa Dehghani
G. Heigold
Chen Sun
Mario Lucic
Cordelia Schmid
ViT
104
2,119
0
29 Mar 2021
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines
Dima Damen
Hazel Doughty
G. Farinella
Sanja Fidler
Antonino Furnari
...
Davide Moltisanti
Jonathan Munro
Toby Perrett
Will Price
Michael Wray
EgoV
50
227
0
29 Apr 2020
Rethinking Zero-shot Video Classification: End-to-end Training for
  Realistic Applications
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
156
128
0
03 Mar 2020
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million
  Narrated Video Clips
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Antoine Miech
Dimitri Zhukov
Jean-Baptiste Alayrac
Makarand Tapaswi
Ivan Laptev
Josef Sivic
VGen
87
1,186
0
07 Jun 2019
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
125
2,133
0
01 Mar 2018
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
194
7,961
0
22 May 2017
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
117
2,606
0
22 Apr 2016
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
216
7,518
0
09 Jun 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
275
33,445
0
16 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
529
31,406
0
16 Jan 2013
1