Vicente Ordonez

papers

834

total citations

papers (15)

MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning

ICCV 2021arXiv

citations

Going Beyond Nouns With Vision & Language Models Using Synthetic Data

ICCV 2023arXiv

citations

ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation

CVPR 2024arXiv

citations

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations

CVPR 2023arXiv

citations

Improved Visual Grounding through Self-Consistent Explanations

CVPR 2024arXiv

citations

Grounding Language Models for Visual Entity Recognition

ECCV 2024arXiv

citations

ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders

ECCV 2024arXiv

citations

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation

ICCV 2025arXiv

citations

SimVQA: Exploring Simulated Environments for Visual Question Answering

CVPR 2022arXiv

citations

LOCORE: Image Re-ranking with Long-Context Sequence Modeling

CVPR 2025arXiv

citations

Improving Large Vision and Language Models by Learning from a Panel of Peers

ICCV 2025arXiv

citations

Generative-Discriminative Feature Representations for Open-Set Recognition

CVPR 2020

citations

Vicente Ordonez

papers (15)

General Multi-Label Image Classification With Transformers

Black-Box Explanation of Object Detectors via Saliency Maps

Instance-Level Image Retrieval Using Reranking Transformers

MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning

Going Beyond Nouns With Vision & Language Models Using Synthetic Data

ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations

Improved Visual Grounding through Self-Consistent Explanations

Grounding Language Models for Visual Entity Recognition

ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation

SimVQA: Exploring Simulated Environments for Visual Question Answering

LOCORE: Image Re-ranking with Long-Context Sequence Modeling

Improving Large Vision and Language Models by Learning from a Panel of Peers

Generative-Discriminative Feature Representations for Open-Set Recognition

papers (15)

General Multi-Label Image Classification With Transformers

Black-Box Explanation of Object Detectors via Saliency Maps

Instance-Level Image Retrieval Using Reranking Transformers

MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning

Going Beyond Nouns With Vision & Language Models Using Synthetic Data

ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations

Improved Visual Grounding through Self-Consistent Explanations

Grounding Language Models for Visual Entity Recognition

ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation

SimVQA: Exploring Simulated Environments for Visual Question Answering

LOCORE: Image Re-ranking with Long-Context Sequence Modeling

Improving Large Vision and Language Models by Learning from a Panel of Peers

Generative-Discriminative Feature Representations for Open-Set Recognition