Vicente Ordonez

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 81

Top Topics

Convolutional Neural Network

Natural Language

Feature Representations

Image Retrieval

Top Venues

Publications

Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordonez
Learning from Models and Data for Visual Grounding. CoRR (2024)
Xuehai He, Jian Zheng, Jacob Zhiyuan Fang, Robinson Piramuthu, Mohit Bansal, Vicente Ordonez, Gunnar A. Sigurdsson, Nanyun Peng, Xin Eric Wang
FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation. CoRR (2024)
Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez
Grounding Language Models for Visual Entity Recognition. CoRR (2024)
Jefferson Hernandez, Ruben Villegas, Vicente Ordonez
Generative Visual Instruction Tuning. CoRR (2024)
Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez
PropTest: Automatic Property Testing for Improved Visual Programming. CoRR (2024)
Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, Guha Balakrishnan, Sergey Tulyakov, Vicente Ordonez
Taming Data and Transformers for Audio Generation. CoRR (2024)
Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. WACV (2024)
Aman Shrivastava, Yanjun Qi, Vicente Ordonez
Estimating and Maximizing Mutual Information for Knowledge Distillation. CVPR Workshops (2023)
Shiyuan Huang, Robinson Piramuthu, Vicente Ordonez, Shih-Fu Chang, Gunnar A. Sigurdsson
Characterizing Video Question Answering with Sparsified Inputs. CoRR (2023)
Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez
ElasticDiffusion: Training-free Arbitrary Size Image Generation. CoRR (2023)
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV (2023)
Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations. CVPR (2023)
Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning. CoRR (2023)
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR (2023)
Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. AISTATS (2023)
Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. CoRR (2023)
Jefferson Hernandez, Ruben Villegas, Vicente Ordonez
Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders. CoRR (2023)
Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordonez
Improved Visual Grounding through Self-Consistent Explanations. CoRR (2023)
Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez
SimVQA: Exploring Simulated Environments for Visual Question Answering. CoRR (2022)
Samhita Honnavalli, Aesha Parekh, Lily Ou, Sophie Groenwold, Sharon Levy, Vicente Ordonez, William Yang Wang
Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation. LREC (2022)
Samhita Honnavalli, Aesha Parekh, Lily Ou, Sophie Groenwold, Sharon Levy, Vicente Ordonez, William Yang Wang
Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation. CoRR (2022)
Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez
Sim VQA: Exploring Simulated Environments for Visual Question Answering. CVPR (2022)
Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez
On the Transferability of Visual Features in Generalized Zero-Shot Learning. CoRR (2022)
Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez
Visual News: Benchmark and Challenges in News Image Captioning. EMNLP (1) (2021)
Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura E. Barnes
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. ICCV (2021)
Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
General Multi-Label Image Classification With Transformers. CVPR (2021)
Fuwen Tan, Jiangbo Yuan, Vicente Ordonez
Instance-level Image Retrieval using Reranking Transformers. CoRR (2021)
Ziyan Yang, Leticia Pinto-Alva, Franck Dernoncourt, Vicente Ordonez
Backpropagation-Based Decoding for Multimodal Machine Translation. Frontiers Artif. Intell. 4 (2021)
Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning. AAAI (2021)
Aman Shrivastava, Yanjun Qi, Vicente Ordonez
Estimating and Maximizing Mutual Information for Knowledge Distillation. CoRR (2021)
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko
Black-Box Explanation of Object Detectors via Saliency Maps. CVPR (2021)
Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations. CoRR (2021)
Fuwen Tan, Jiangbo Yuan, Vicente Ordonez
Instance-level Image Retrieval using Reranking Transformers. ICCV (2021)
Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez
Evolving Image Compositions for Feature Representation Learning. CoRR (2021)
Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez
Evolving Image Compositions for Feature Representation Learning. BMVC (2021)
Leticia Pinto-Alva, Ian K. Torres, Rosangel Garcia, Ziyan Yang, Vicente Ordonez
Chair Segments: A Compact Benchmark for the Study of Object Segmentation. CoRR (2020)
Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez
Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning. CoRR (2020)
Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. ACL (2020)
Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
General Multi-label Image Classification with Transformers. CoRR (2020)
Ziyan Yang, Leticia Pinto-Alva, Franck Dernoncourt, Vicente Ordonez
Using Visual Feature Space as a Pivot Across Languages. EMNLP (Findings) (2020)
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
Enabling AI at the edge with XNOR-networks. Commun. ACM 63 (12) (2020)
Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez
VisualNews : Benchmark and Challenges in Entity-aware Image Captioning. CoRR (2020)
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray
Testing DNN image classifiers for confusion & bias errors. ICSE (Companion Volume) (2020)
Pramuditha Perera, Vlad I. Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, Vishal M. Patel
Generative-Discriminative Feature Representations for Open-Set Recognition. CVPR (2020)
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko
Black-box Explanation of Object Detectors via Saliency Maps. CoRR (2020)
Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. CoRR (2020)
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray
Testing DNN image classifiers for confusion & bias errors. ICSE (2020)
Sonia Baee, Erfan Pakdamanian, Vicente Ordonez, Inki Kim, Lu Feng, Laura E. Barnes
EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles. CoRR (2019)
Paola Cascante-Bonilla, Kalpathy Sitaraman, Mengjia Luo, Vicente Ordonez
Moviescope: Large-scale Analysis of Movies using Multiple Modalities. CoRR (2019)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
Gender Bias in Contextualized Word Embeddings. NAACL-HLT (1) (2019)
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. ICCV (2019)
Paola Cascante-Bonilla, Xuwang Yin, Vicente Ordonez, Song Feng
Chat-crowd: A Dialog-based Platform for Visual Layout Composition. NAACL-HLT (Demonstrations) (2019)
Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. CoRR (2019)
Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez
Bias and Fairness in Natural Language Processing. EMNLP/IJCNLP (2) (2019)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
Gender Bias in Contextualized Word Embeddings. CoRR (2019)
Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. NeurIPS (2019)
Fuwen Tan, Song Feng, Vicente Ordonez
Text2Scene: Generating Compositional Scenes From Textual Descriptions. CVPR (2019)
Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray
Testing Deep Neural Network based Image Classifiers. CoRR (2019)
Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez
Deep Feature Aggregation and Image Re-Ranking With Heat Diffusion for Image Retrieval. IEEE Trans. Multim. 21 (6) (2019)
Fuwen Tan, Song Feng, Vicente Ordonez
Text2Scene: Generating Abstract Scenes from Textual Descriptions. CoRR (2018)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. NAACL-HLT (2) (2018)
Shanmin Pang, Jihua Zhu, Jiaxing Wang, Vicente Ordonez, Jianru Xue
Building discriminative CNN image representations for object retrieval using the replicator equation. Pattern Recognit. 83 (2018)
Tianlu Wang, Kota Yamaguchi, Vicente Ordonez
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence. CVPR (2018)
Xuwang Yin, Vicente Ordonez, Song Feng
Chat-crowd: A Dialog-based Platform for Visual Layout Composition. CoRR (2018)
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
Adversarial Removal of Gender from Deep Image Representations. CoRR (2018)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. CoRR (2018)
Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez
Deep Feature Aggregation with Heat Diffusion for Image Retrieval. CoRR (2018)
Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, Connelly Barnes
Where and Who? Automatic Semantic-Aware Person Composition. WACV (2018)
Xuwang Yin, Vicente Ordonez
Obj2Text: Generating Visually Descriptive Language from Object Layouts. EMNLP (2017)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. CoRR (2017)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. EMNLP (2017)
Xuwang Yin, Vicente Ordonez
OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts. CoRR (2017)
Tianlu Wang, Kota Yamaguchi, Vicente Ordonez
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence. CoRR (2017)
Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, Connelly Barnes
Where and Who? Automatic Semantic-Aware Person Composition. CoRR (2017)
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CVPR (2017)
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CoRR (2016)
Mark Yatskar, Vicente Ordonez, Ali Farhadi
Stating the Obvious: Extracting Visual Common Sense Knowledge. HLT-NAACL (2016)
Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
Learning to name objects. Commun. ACM 59 (3) (2016)
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. ECCV (4) (2016)
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. CoRR (2016)
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
Large Scale Retrieval and Generation of Image Descriptions. Int. J. Comput. Vis. 119 (1) (2016)
Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
Predicting Entry-Level Categories. Int. J. Comput. Vis. 115 (1) (2015)
Polina Kuznetsova, Vicente Ordonez, Tamara L. Berg, Yejin Choi
TREETALK: Composition and Compression of Trees for Image Descriptions. Trans. Assoc. Comput. Linguistics 2 (2014)
Vicente Ordonez, Tamara L. Berg
Learning High-Level Judgments of Urban Perception. ECCV (6) (2014)
Vicente Ordonez, Vignesh Jagadeesh, Wei Di, Anurag Bhardwaj, Robinson Piramuthu
Furniture-geek: Understanding fine-grained furniture attributes from freely associated text and tags. WACV (2014)
Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, Tamara L. Berg
ReferItGame: Referring to Objects in Photographs of Natural Scenes. EMNLP (2014)
Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi
Generalizing Image Captions for Image-Text Parallel Corpus. ACL (2) (2013)
Girish Kulkarni, Visruth Premraj, Vicente Ordonez, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C. Berg, Tamara L. Berg
BabyTalk: Understanding and Generating Simple Image Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 35 (12) (2013)
Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
From Large Scale Image Categorization to Entry-Level Categories. ICCV (2013)
Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi
Collective Generation of Natural Image Descriptions. ACL (1) (2012)
Sagnik Dhar, Vicente Ordonez, Tamara L. Berg
High level describable attributes for predicting aesthetics and interestingness. CVPR (2011)
Vicente Ordonez, Girish Kulkarni, Tamara L. Berg
Im2Text: Describing Images Using 1 Million Captioned Photographs. NIPS (2011)
Stefaan Ternier, Katrien Verbert, Gonzalo Parra, Bram Vandeputte, Joris Klerkx, Erik Duval, Vicente Ordonez, Xavier Ochoa
The Ariadne Infrastructure for Managing and Storing Metadata. IEEE Internet Comput. 13 (4) (2009)