Vicente Ordonez

According to our database, Vicente Ordonez authored at least 73 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PropTest: Automatic Property Testing for Improved Visual Programming.

Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez

CoRR, 2024

Learning from Models and Data for Visual Grounding.

Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordonez

CoRR, 2024

Grounding Language Models for Visual Entity Recognition.

Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez

CoRR, 2024

SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data.

Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Improved Visual Grounding through Self-Consistent Explanations.

Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordonez

CoRR, 2023

ElasticDiffusion: Training-free Arbitrary Size Image Generation.

Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez

CoRR, 2023

Characterizing Video Question Answering with Sparsified Inputs.

Shiyuan Huang, Robinson Piramuthu, Vicente Ordonez, Shih-Fu Chang, Gunnar A. Sigurdsson

CoRR, 2023

Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders.

Jefferson Hernandez, Ruben Villegas, Vicente Ordonez

CoRR, 2023

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

Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez

CoRR, 2023

Going Beyond Nouns With Vision & Language Models Using Synthetic Data.

Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations.

Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Estimating and Maximizing Mutual Information for Knowledge Distillation.

Aman Shrivastava, Yanjun Qi, Vicente Ordonez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision.

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

On the Transferability of Visual Features in Generalized Zero-Shot Learning.

Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez

CoRR, 2022

SimVQA: Exploring Simulated Environments for Visual Question Answering.

Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez

CoRR, 2022

Repairing Group-Level Errors for DNNs Using Weighted Regularization.

Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney, Vicente Ordóñez Román, Baishakhi Ray

CoRR, 2022

Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation.

Samhita Honnavalli, Aesha Parekh, Lily Ou, Sophie Groenwold, Sharon Levy, Vicente Ordonez, William Yang Wang

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Sim VQA: Exploring Simulated Environments for Visual Question Answering.

Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Backpropagation-Based Decoding for Multimodal Machine Translation.

Ziyan Yang, Leticia Pinto-Alva, Franck Dernoncourt, Vicente Ordonez

Frontiers Artif. Intell., 2021

CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations.

Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez

CoRR, 2021

Instance-level Image Retrieval using Reranking Transformers.

Fuwen Tan, Jiangbo Yuan, Vicente Ordonez

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura E. Barnes

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Visual News: Benchmark and Challenges in News Image Captioning.

Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Black-Box Explanation of Object Detectors via Saliency Maps.

Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

General Multi-Label Image Classification With Transformers.

Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Evolving Image Compositions for Feature Representation Learning.

Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning.

Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Chair Segments: A Compact Benchmark for the Study of Object Segmentation.

Leticia Pinto-Alva, Ian K. Torres, Rosangel Garcia, Ziyan Yang, Vicente Ordonez

CoRR, 2020

VisualNews : Benchmark and Challenges in Entity-aware Image Captioning.

Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez

CoRR, 2020

Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning.

Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez

CoRR, 2020

Enabling AI at the edge with XNOR-networks.

Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi

Commun. ACM, 2020

Testing DNN image classifiers for confusion & bias errors.

Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Using Visual Feature Space as a Pivot Across Languages.

Ziyan Yang, Leticia Pinto-Alva, Franck Dernoncourt, Vicente Ordonez

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Generative-Discriminative Feature Representations for Open-Set Recognition.

Pramuditha Perera, Vlad I. Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, Vishal M. Patel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation.

Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Deep Feature Aggregation and Image Re-Ranking With Heat Diffusion for Image Retrieval.

Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez

IEEE Trans. Multim., 2019

EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles.

Sonia Baee, Erfan Pakdamanian, Vicente Ordonez, Inki Kim, Lu Feng, Laura E. Barnes

CoRR, 2019

Moviescope: Large-scale Analysis of Movies using Multiple Modalities.

Paola Cascante-Bonilla, Kalpathy Sitaraman, Mengjia Luo, Vicente Ordonez

CoRR, 2019

Testing Deep Neural Network based Image Classifiers.

Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray

CoRR, 2019

Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries.

Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Gender Bias in Contextualized Word Embeddings.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Chat-crowd: A Dialog-based Platform for Visual Layout Composition.

Paola Cascante-Bonilla, Xuwang Yin, Vicente Ordonez, Song Feng

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.

Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Bias and Fairness in Natural Language Processing.

Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Text2Scene: Generating Compositional Scenes From Textual Descriptions.

Fuwen Tan, Song Feng, Vicente Ordonez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Building discriminative CNN image representations for object retrieval using the replicator equation.

Shanmin Pang, Jihua Zhu, Jiaxing Wang, Vicente Ordonez, Jianru Xue

Pattern Recognit., 2018

Chat-crowd: A Dialog-based Platform for Visual Layout Composition.

Xuwang Yin, Vicente Ordonez, Song Feng

CoRR, 2018

Adversarial Removal of Gender from Deep Image Representations.

Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez

CoRR, 2018

Text2Scene: Generating Abstract Scenes from Textual Descriptions.

Fuwen Tan, Song Feng, Vicente Ordonez

CoRR, 2018

Deep Feature Aggregation with Heat Diffusion for Image Retrieval.

Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez

CoRR, 2018

Where and Who? Automatic Semantic-Aware Person Composition.

Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, Connelly Barnes

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence.

Tianlu Wang, Kota Yamaguchi, Vicente Ordonez

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.

Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Obj2Text: Generating Visually Descriptive Language from Object Layouts.

Xuwang Yin, Vicente Ordonez

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Commonly Uncommon: Semantic Sparsity in Situation Recognition.

Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Large Scale Retrieval and Generation of Image Descriptions.

Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa C. Mensch, Hal Daumé III, Alexander C. Berg, Yejin Choi, Tamara L. Berg

Int. J. Comput. Vis., 2016

Learning to name objects.

Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg

Commun. ACM, 2016

Stating the Obvious: Extracting Visual Common Sense Knowledge.

Mark Yatskar, Vicente Ordonez, Ali Farhadi

Proceedings of the NAACL HLT 2016, 2016

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks.

Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Language and Perceptual Categorization in Computational Visual Recognition.

Vicente Ordonez

PhD thesis, 2015

Predicting Entry-Level Categories.

Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg

Int. J. Comput. Vis., 2015

2014

TREETALK: Composition and Compression of Trees for Image Descriptions.

Polina Kuznetsova, Vicente Ordonez, Tamara L. Berg, Yejin Choi

Trans. Assoc. Comput. Linguistics, 2014

Furniture-geek: Understanding fine-grained furniture attributes from freely associated text and tags.

Vicente Ordonez, Vignesh Jagadeesh, Wei Di, Anurag Bhardwaj, Robinson Piramuthu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

ReferItGame: Referring to Objects in Photographs of Natural Scenes.

Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, Tamara L. Berg

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning High-Level Judgments of Urban Perception.

Vicente Ordonez, Tamara L. Berg

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

BabyTalk: Understanding and Generating Simple Image Descriptions.

Girish Kulkarni, Visruth Premraj, Vicente Ordonez, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C. Berg, Tamara L. Berg

IEEE Trans. Pattern Anal. Mach. Intell., 2013

From Large Scale Image Categorization to Entry-Level Categories.

Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg

Proceedings of the IEEE International Conference on Computer Vision, 2013

Generalizing Image Captions for Image-Text Parallel Corpus.

Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Collective Generation of Natural Image Descriptions.

Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Im2Text: Describing Images Using 1 Million Captioned Photographs.

Vicente Ordonez, Girish Kulkarni, Tamara L. Berg

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

High level describable attributes for predicting aesthetics and interestingness.

Sagnik Dhar, Vicente Ordonez, Tamara L. Berg

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2009

The Ariadne Infrastructure for Managing and Storing Metadata.

Stefaan Ternier, Katrien Verbert, Gonzalo Parra, Bram Vandeputte, Joris Klerkx, Erik Duval, Vicente Ordonez, Xavier Ochoa

IEEE Internet Comput., 2009