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P. Pérez

47 papers hereh-index 6832.1k citations263 works total

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

author position
  • middle author25
  • last author21

Across the 46 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CV37
  • cs.LG4
  • cs.SD2
  • cs.CR1
  • cs.IT1
  • cs.RO1
same name
  • P. Pérez — 119 papers, h 41
  • P. Pérez — 59 papers, h 51
  • P. Pérez — 48 papers, h 43
  • P. Pérez — 12 papers, h 8
  • P. Pérez — 6 papers, h 46
  • P. Pérez — 6 papers, h 15

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

works on
computer vision 1image matching 1object discovery 1optimization 1unsupervised learning 1

From the 1 of 47 linked papers with an AI index.

activity
20072023
most citedADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

1.4k citations · 2.8k across the 38 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CV2021

Raising context awareness in motion forecasting

Hédi Ben-Younes, Éloi Zablocki, Mickaël Chen +2

Learning-based trajectory prediction models have encountered great success, with the promise of leveraging contextual information in addition to motion history. Yet, we find that s…

cs.CV2021

Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation

Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette +2

Domain adaptation is an important task to enable learning when labels are scarce. While most works focus only on the image modality, there are many important multi-modal datasets.…

cs.CV2021★ 4 cited

Explainability of deep vision-based autonomous driving systems: Review and challenges

Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez +1

This survey reviews explainability methods for vision-based self-driving systems trained with behavior cloning. The concept of explainability has several facets and the need for ex…

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