The Ariadne Infrastructure for Managing and Storing Metadata. - Stefaan Ternier; Katrien Verbert; Gonzalo Parra; Bram Vandeputte; Joris Klerkx; Erik Duval; Vicente Ordonez; Xavier Ochoa 001 (IEEE Internet Comput., 2009)

High level describable attributes for predicting aesthetics and interestingness. - Sagnik Dhar; Vicente Ordonez; Tamara L. Berg (CVPR, 2011)

Im2Text: Describing Images Using 1 Million Captioned Photographs. - Vicente Ordonez; Girish Kulkarni; Tamara L. Berg (NIPS, 2011)

Collective Generation of Natural Image Descriptions. - Polina Kuznetsova; Vicente Ordonez; Alexander C. Berg; Tamara L. Berg; Yejin Choi 001 (ACL (1), 2012)

Generalizing Image Captions for Image-Text Parallel Corpus. - Polina Kuznetsova; Vicente Ordonez; Alexander C. Berg; Tamara L. Berg; Yejin Choi 001 (ACL (2), 2013)

From Large Scale Image Categorization to Entry-Level Categories. - Vicente Ordonez; Jia Deng 001; Yejin Choi 001; Alexander C. Berg; Tamara L. Berg (ICCV, 2013)

BabyTalk: Understanding and Generating Simple Image Descriptions. - Girish Kulkarni; Visruth Premraj; Vicente Ordonez; Sagnik Dhar; Siming Li; Yejin Choi 001; Alexander C. Berg; Tamara L. Berg (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Learning High-Level Judgments of Urban Perception. - Vicente Ordonez; Tamara L. Berg (ECCV (6), 2014)

ReferItGame: Referring to Objects in Photographs of Natural Scenes. - Sahar Kazemzadeh; Vicente Ordonez; Mark Matten; Tamara L. Berg (EMNLP, 2014)

Furniture-geek: Understanding fine-grained furniture attributes from freely associated text and tags. - Vicente Ordonez; Vignesh Jagadeesh; Wei Di; Anurag Bhardwaj; Robinson Piramuthu (WACV, 2014)

TREETALK: Composition and Compression of Trees for Image Descriptions. - Polina Kuznetsova; Vicente Ordonez; Tamara L. Berg; Yejin Choi 001 (Trans. Assoc. Comput. Linguistics, 2014)

Predicting Entry-Level Categories. - Vicente Ordonez; Wei Liu 015; Jia Deng 001; Yejin Choi 001; Alexander C. Berg; Tamara L. Berg (Int. J. Comput. Vis., 2015)

Language and Perceptual Categorization in Computational Visual Recognition. - Vicente Ordonez (2015)

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. - Mohammad Rastegari; Vicente Ordonez; Joseph Redmon; Ali Farhadi (ECCV (4), 2016)

Stating the Obvious: Extracting Visual Common Sense Knowledge. - Mark Yatskar; Vicente Ordonez; Ali Farhadi (HLT-NAACL, 2016)

Learning to name objects. - Vicente Ordonez; Wei Liu 015; Jia Deng 001; Yejin Choi 001; Alexander C. Berg; Tamara L. Berg (Commun. ACM, 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 001; Jesse Dodge; Alyssa C. Mensch; Hal Daumé III; Alexander C. Berg; et al. (Int. J. Comput. Vis., 2016)

Commonly Uncommon: Semantic Sparsity in Situation Recognition. - Mark Yatskar; Vicente Ordonez; Luke Zettlemoyer; Ali Farhadi (CVPR, 2017)

Obj2Text: Generating Visually Descriptive Language from Object Layouts. - Xuwang Yin; Vicente Ordonez (EMNLP, 2017)

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Vicente Ordonez; Kai-Wei Chang (EMNLP, 2017)

Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence. - Tianlu Wang; Kota Yamaguchi; Vicente Ordonez (CVPR, 2018)

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Vicente Ordonez; Kai-Wei Chang (NAACL-HLT (2), 2018)

Where and Who? Automatic Semantic-Aware Person Composition. - Fuwen Tan; Crispin Bernier; Benjamin Cohen; Vicente Ordonez; Connelly Barnes (WACV, 2018)

Deep Feature Aggregation with Heat Diffusion for Image Retrieval. - Shanmin Pang; Jin Ma; Jianru Xue; Jihua Zhu; Vicente Ordonez (CoRR, 2018)

Text2Scene: Generating Abstract Scenes from Textual Descriptions. - Fuwen Tan; Song Feng 002; Vicente Ordonez (CoRR, 2018)

Adversarial Removal of Gender from Deep Image Representations. - Tianlu Wang; Jieyu Zhao 001; Mark Yatskar; Kai-Wei Chang; Vicente Ordonez (CoRR, 2018)

Chat-crowd: A Dialog-based Platform for Visual Layout Composition. - Xuwang Yin; Vicente Ordonez; Song Feng 002 (CoRR, 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)

Text2Scene: Generating Compositional Scenes From Textual Descriptions. - Fuwen Tan; Song Feng 002; Vicente Ordonez (CVPR, 2019)

Bias and Fairness in Natural Language Processing. - Kai-Wei Chang; Vinod Prabhakaran; Vicente Ordonez (EMNLP/IJCNLP (2), 2019)

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. - Tianlu Wang; Jieyu Zhao 001; Mark Yatskar; Kai-Wei Chang; Vicente Ordonez (ICCV, 2019)

Chat-crowd: A Dialog-based Platform for Visual Layout Composition. - Paola Cascante-Bonilla; Xuwang Yin; Vicente Ordonez; Song Feng 002 (NAACL-HLT (Demonstrations), 2019)

Gender Bias in Contextualized Word Embeddings. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Ryan Cotterell; Vicente Ordonez; Kai-Wei Chang (NAACL-HLT (1), 2019)

Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries. - Fuwen Tan; Paola Cascante-Bonilla; Xiaoxiao Guo; Hui Wu 009; Song Feng 002; Vicente Ordonez (NeurIPS, 2019)

Testing Deep Neural Network based Image Classifiers. - Yuchi Tian; Ziyuan Zhong; Vicente Ordonez; Baishakhi Ray (CoRR, 2019)

Moviescope: Large-scale Analysis of Movies using Multiple Modalities. - Paola Cascante-Bonilla; Kalpathy Sitaraman; Mengjia Luo; Vicente Ordonez (CoRR, 2019)

EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles. - Sonia Baee; Erfan Pakdamanian; Vicente Ordonez; Inki Kim; Lu Feng 001; Laura E. Barnes (CoRR, 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)

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. - Tianlu Wang; Xi Victoria Lin; Nazneen Fatema Rajani; Bryan McCann; Vicente Ordonez; Caiming Xiong (ACL, 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 (CVPR, 2020)

Using Visual Feature Space as a Pivot Across Languages. - Ziyan Yang; Leticia Pinto-Alva; Franck Dernoncourt; Vicente Ordonez (EMNLP (Findings), 2020)

Testing DNN image classifiers for confusion & bias errors. - Yuchi Tian; Ziyuan Zhong; Vicente Ordonez; Gail E. Kaiser; Baishakhi Ray (ICSE (Companion Volume), 2020)

Enabling AI at the edge with XNOR-networks. - Mohammad Rastegari; Vicente Ordonez; Joseph Redmon; Ali Farhadi (Commun. ACM, 2020)

Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning. - Paola Cascante-Bonilla; Fuwen Tan; Yanjun Qi; Vicente Ordonez (CoRR, 2020)

VisualNews : Benchmark and Challenges in Entity-aware Image Captioning. - Fuxiao Liu; Yinghan Wang; Tianlu Wang; Vicente Ordonez (CoRR, 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)

Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning. - Paola Cascante-Bonilla; Fuwen Tan; Yanjun Qi; Vicente Ordonez (AAAI, 2021)

Evolving Image Compositions for Feature Representation Learning. - Paola Cascante-Bonilla; Arshdeep Sekhon; Yanjun Qi; Vicente Ordonez (BMVC, 2021)

General Multi-Label Image Classification With Transformers. - Jack Lanchantin; Tianlu Wang; Vicente Ordonez; Yanjun Qi (CVPR, 2021)

Black-Box Explanation of Object Detectors via Saliency Maps. - Vitali Petsiuk; Rajiv Jain; Varun Manjunatha; Vlad I. Morariu; Ashutosh Mehra 002; Vicente Ordonez; Kate Saenko (CVPR, 2021)

Visual News: Benchmark and Challenges in News Image Captioning. - Fuxiao Liu; Yinghan Wang; Tianlu Wang; Vicente Ordonez (EMNLP (1), 2021)

MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. - Sonia Baee; Erfan Pakdamanian; Inki Kim; Lu Feng 001; Vicente Ordonez; Laura E. Barnes (ICCV, 2021)

Instance-level Image Retrieval using Reranking Transformers. - Fuwen Tan; Jiangbo Yuan; Vicente Ordonez (ICCV, 2021)

CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations. - Aman Shrivastava; Ramprasaath R. Selvaraju; Nikhil Naik; Vicente Ordonez (CoRR, 2021)

Backpropagation-Based Decoding for Multimodal Machine Translation. - Ziyan Yang; Leticia Pinto-Alva; Franck Dernoncourt; Vicente Ordonez (Frontiers Artif. Intell., 2021)

Sim VQA: Exploring Simulated Environments for Visual Question Answering. - Paola Cascante-Bonilla; Hui Wu 009; Letao Wang; Rogério Feris; Vicente Ordonez (CVPR, 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 (LREC, 2022)

Repairing Group-Level Errors for DNNs Using Weighted Regularization. - Ziyuan Zhong; Yuchi Tian; Conor J. Sweeney; Vicente Ordóñez Román; Baishakhi Ray (CoRR, 2022)

SimVQA: Exploring Simulated Environments for Visual Question Answering. - Paola Cascante-Bonilla; Hui Wu 009; Letao Wang; Rogério Feris; Vicente Ordonez (CoRR, 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)

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. - Aman Shrivastava; Ramprasaath R. Selvaraju; Nikhil Naik; Vicente Ordonez (AISTATS, 2023)

Estimating and Maximizing Mutual Information for Knowledge Distillation. - Aman Shrivastava; Yanjun Qi; Vicente Ordonez (CVPR Workshops, 2023)

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations. - Ziyan Yang; Kushal Kafle; Franck Dernoncourt; Vicente Ordonez (CVPR, 2023)

Going Beyond Nouns With Vision & Language Models Using Synthetic Data. - Paola Cascante-Bonilla; Khaled Shehada; James Seale Smith; Sivan Doveh; Donghyun Kim 006; Rameswar Panda; Gül Varol; Aude Oliva; Vicente Ordonez; Rogério Feris; Leonid Karlinsky (ICCV, 2023)

Variation of Gender Biases in Visual Recognition Models Before and After Finetuning. - Jaspreet Ranjit; Tianlu Wang; Baishakhi Ray; Vicente Ordonez (CoRR, 2023)

Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders. - Jefferson Hernandez; Ruben Villegas; 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)

ElasticDiffusion: Training-free Arbitrary Size Image Generation. - Moayed Haji-Ali; Guha Balakrishnan; Vicente Ordonez (CoRR, 2023)

ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation. - Moayed Haji-Ali; Guha Balakrishnan; Vicente Ordonez (CVPR, 2024)

Improved Visual Grounding through Self-Consistent Explanations. - Ruozhen He; Paola Cascante-Bonilla; Ziyan Yang; Alexander C. Berg; Vicente Ordonez (CVPR, 2024)

ViC-MAE: Self-supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders. - Jefferson Hernandez; Ruben Villegas; Vicente Ordonez (ECCV (4), 2024)

Grounding Language Models for Visual Entity Recognition. - Zilin Xiao; Ming Gong 001; Paola Cascante-Bonilla; Xingyao Zhang; Jie Wu; Vicente Ordonez (ECCV (11), 2024)

PropTest: Automatic Property Testing for Improved Visual Programming. - Jaywon Koo; Ziyan Yang; Paola Cascante-Bonilla; Baishakhi Ray; Vicente Ordonez (EMNLP (Findings), 2024)

Zero-Shot Controllable Image-to-Video Animation via Motion Decomposition. - Shoubin Yu; Jacob Zhiyuan Fang; Jian Zheng; Gunnar A. Sigurdsson; Vicente Ordonez; Robinson Piramuthu; Mohit Bansal (ACM Multimedia, 2024)

SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. - Ziyan Yang; Kushal Kafle; Zhe Lin 001; Scott Cohen; Zhihong Ding; Vicente Ordonez (WACV, 2024)

Learning from Models and Data for Visual Grounding. - Ruozhen He; Paola Cascante-Bonilla; Ziyan Yang; Alexander C. Berg; Vicente Ordonez (CoRR, 2024)

Generative Visual Instruction Tuning. - Jefferson Hernandez; Ruben Villegas; Vicente Ordonez (CoRR, 2024)

Taming Data and Transformers for Audio Generation. - Moayed Haji-Ali; Willi Menapace; Aliaksandr Siarohin; Guha Balakrishnan; Sergey Tulyakov; Vicente Ordonez (CoRR, 2024)

Fairness and Bias Mitigation in Computer Vision: A Survey. - Sepehr Dehdashtian; Ruozhen He; Yi Li 051; Guha Balakrishnan; Nuno Vasconcelos; Vicente Ordonez; Vishnu Naresh Boddeti (CoRR, 2024)

ParallelSpec: Parallel Drafter for Efficient Speculative Decoding. - Zilin Xiao; Hongming Zhang 009; Tao Ge 005; Siru Ouyang; Vicente Ordonez; Dong Yu 001 (CoRR, 2024)

AV-Link: Temporally-Aligned Diffusion Features for Cross-Modal Audio-Video Generation. - Moayed Haji-Ali; Willi Menapace; Aliaksandr Siarohin; Ivan Skorokhodov; Alper Canberk; Kwot Sin Lee; Vicente Ordonez; Sergey Tulyakov (CoRR, 2024)

FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation. - Xuehai He; Jian Zheng; Jacob Zhiyuan Fang; Robinson Piramuthu; Mohit Bansal; Vicente Ordonez; Gunnar A. Sigurdsson; Nanyun Peng 001; Xin Eric Wang (Trans. Mach. Learn. Res., 2024)

LOCORE: Image Re-ranking with Long-Context Sequence Modeling. - Zilin Xiao; Pavel Suma; Ayush Sachdeva; Hao-Jen Wang; Giorgos Kordopatis-Zilos; Giorgos Tolias; Vicente Ordonez (CVPR, 2025)

Evaluating Text-to-Image Synthesis with a Conditional Fréchet Distance. - Jaywon Koo; Jefferson Hernandez; Moayed Haji-Ali; Ziyan Yang; Vicente Ordonez (CoRR, 2025)

ProxyThinker: Test-Time Guidance through Small Visual Reasoners. - Zilin Xiao; Jaywon Koo; Siru Ouyang; Jefferson Hernandez; Yu Meng; Vicente Ordonez (CoRR, 2025)

Improving Progressive Generation with Decomposable Flow Matching. - Moayed Haji-Ali; Willi Menapace; Ivan Skorokhodov; Arpit Sahni; Sergey Tulyakov; Vicente Ordonez; Aliaksandr Siarohin (CoRR, 2025)

GViT: Representing Images as Gaussians for Visual Recognition. - Jefferson Hernandez; Ruozhen He; Guha Balakrishnan; Alexander C. Berg; Vicente Ordonez (CoRR, 2025)