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researcher

Vicente Ordóñez

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
same name
  • Vicente Ordóñez — 1 paper

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

activity
20162025
most citedCommonly Uncommon: Semantic Sparsity in Situation Recognition

5 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025★ 2 cited

The Amazon Nova Family of Models: Technical Report and Model Card

Amazon AGI, Aaron Langford, Aayush Shah +783

We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…

cs.CV2024★ 3 cited

Fairness and Bias Mitigation in Computer Vision: A Survey

Sepehr Dehdashtian, Ruozhen He, Yi Li +4

Computer vision systems have witnessed rapid progress over the past two decades due to multiple advances in the field. As these systems are increasingly being deployed in high-stak…

cs.CV2023★ 1 cited

Variation of Gender Biases in Visual Recognition Models Before and After Finetuning

Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray +1

We introduce a framework to measure how biases change before and after fine-tuning a large scale visual recognition model for a downstream task. Deep learning models trained on inc…

cs.CV2016★ 5 cited

Commonly Uncommon: Semantic Sparsity in Situation Recognition

Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer +1

Semantic sparsity is a common challenge in structured visual classification problems; when the output space is complex, the vast majority of the possible predictions are rarely, if…

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