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. 2112.09976
  4. Cited By
Tell me what you see: A zero-shot action recognition method based on
  natural language descriptions

Tell me what you see: A zero-shot action recognition method based on natural language descriptions

18 December 2021
Valter Estevam
Rayson Laroca
David Menotti
Hélio Pedrini
ArXivPDFHTML

Papers citing "Tell me what you see: A zero-shot action recognition method based on natural language descriptions"

7 / 7 papers shown
Title
Text-Enhanced Zero-Shot Action Recognition: A training-free approach
Text-Enhanced Zero-Shot Action Recognition: A training-free approach
Massimo Bosetti
Shibingfeng Zhang
Bendetta Liberatori
Giacomo Zara
Elisa Ricci
Paolo Rota
VLM
36
0
0
29 Aug 2024
Telling Stories for Common Sense Zero-Shot Action Recognition
Telling Stories for Common Sense Zero-Shot Action Recognition
Shreyank N. Gowda
Carolina Scarton
LM&Ro
22
2
0
29 Sep 2023
Global Semantic Descriptors for Zero-Shot Action Recognition
Global Semantic Descriptors for Zero-Shot Action Recognition
Valter Estevam
Rayson Laroca
Hélio Pedrini
David Menotti
15
3
0
24 Sep 2022
SAVCHOI: Detecting Suspicious Activities using Dense Video Captioning
  with Human Object Interactions
SAVCHOI: Detecting Suspicious Activities using Dense Video Captioning with Human Object Interactions
Ansh Mittal
Shuvam Ghosal
Rishibha Bansal
33
3
0
24 Jul 2022
Universal Prototype Transport for Zero-Shot Action Recognition and
  Localization
Universal Prototype Transport for Zero-Shot Action Recognition and Localization
Pascal Mettes
14
5
0
08 Mar 2022
On the Cross-dataset Generalization in License Plate Recognition
On the Cross-dataset Generalization in License Plate Recognition
Rayson Laroca
Everton VIlhena Cardoso
D. Lucio
Valter Estevam
David Menotti
13
42
0
02 Jan 2022
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
129
127
0
03 Mar 2020
1