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Giuseppe Fiameni

4 papers hereh-index 328 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Giuseppe Fiameni — 5 papers, h 8
  • Giuseppe Fiameni — 3 papers, h 4
  • Giuseppe Fiameni — 3 papers, h 3
  • Giuseppe Fiameni — 2 papers, h 2
  • Giuseppe Fiameni — 1 paper, h 2
  • Giuseppe Fiameni — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHigher Order Recurrent Space-Time Transformer for Video Action Prediction

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

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★ 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.CV2021★ 3 cited

Higher Order Recurrent Space-Time Transformer for Video Action Prediction

Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee +1

Endowing visual agents with predictive capability is a key step towards video intelligence at scale. The predominant modeling paradigm for this is sequence learning, mostly impleme…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.