activity
20152026
most citedAttention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition

39 citations · 114 across the 22 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.CV2022★ 1 cited

Inductive Attention for Video Action Anticipation

Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee +2

Anticipating future actions based on spatiotemporal observations is essential in video understanding and predictive computer vision. Moreover, a model capable of anticipating the f…

cs.CV2022★ 26 cited

A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval

Alex Falcon, Giuseppe Serra, Oswald Lanz

Every hour, huge amounts of visual contents are posted on social media and user-generated content platforms. To find relevant videos by means of a natural language query, text-vide…

cs.CV2022★ 1 cited

UniUD-FBK-UB-UniBZ Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022

Alex Falcon, Giuseppe Serra, Sergio Escalera +1

This report presents the technical details of our submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022. To participate in the challenge, we designed an ensem…

cs.CV2022★ 1 cited

NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022

Tsung-Ming Tai, Oswald Lanz, Giuseppe Fiameni +5

In this report, we describe the technical details of our submission for the EPIC-Kitchen-100 action anticipation challenge. Our modelings, the higher-order recurrent space-time tra…

cs.CV2022

Unified Recurrence Modeling for Video Action Anticipation

Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee +2

Forecasting future events based on evidence of current conditions is an innate skill of human beings, and key for predicting the outcome of any decision making. In artificial visio…

cs.CV2022★ 5 cited

Relevance-based Margin for Contrastively-trained Video Retrieval Models

Alex Falcon, Swathikiran Sudhakaran, Giuseppe Serra +2

Video retrieval using natural language queries has attracted increasing interest due to its relevance in real-world applications, from intelligent access in private media galleries…