Ordonez, Vicente

36 publications

ICLR 2026 MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction Zilin Xiao, Qi Ma, Mengting Gu, Chun-cheng Jason Chen, Xintao Chen, Vicente Ordonez, Vijai Mohan

ICLR 2026 ProxyThinker: Test-Time Guidance Through Small Visual Reasoners Zilin Xiao, Jaywon Koo, Siru Ouyang, Jefferson Hernandez, Yu Meng, Vicente Ordonez

ICLR 2026 SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports Haotian Xia, Haonan Ge, Junbo Zou, Hyun Woo Choi, Xuebin Zhang, Danny Suradja, Botao Rui, Ethan Tran, Wendy Jin, Zhen Ye, Xiyang Lin, Christopher Lai, Shengjie Zhang, Junwen Miao, Shichao Chen, Rhys Tracy, Vicente Ordonez, Weining Shen, Hanjie Chen

ICCV 2025 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

ICCV 2025 Improving Large Vision and Language Models by Learning from a Panel of Peers Jefferson Hernandez, Jing Shi, Simon Jenni, Vicente Ordonez, Kushal Kafle

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

CVPR 2025 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 2024 ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez

TMLR 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, Xin Eric Wang

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

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

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

ECCV 2024 ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders Jefferson Hernandez, Ruben Villegas, Vicente Ordonez

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

CVPRW 2023 Estimating and Maximizing Mutual Information for Knowledge Distillation Aman Shrivastava, Yanjun Qi, Vicente Ordonez

ICCV 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, Gul Varol, Aude Oliva, Vicente Ordonez, Rogerio Feris, Leonid Karlinsky

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

CVPR 2022 SimVQA: Exploring Simulated Environments for Visual Question Answering Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogerio S. Feris, Vicente Ordonez

CVPR 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

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

CVPR 2021 General Multi-Label Image Classification with Transformers Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi

ICCV 2021 Instance-Level Image Retrieval Using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez

ICCV 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 Barnes

CVPR 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

ICCV 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

NeurIPS 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

CVPR 2019 Text2Scene: Generating Compositional Scenes from Textual Descriptions Fuwen Tan, Song Feng, Vicente Ordonez

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

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

CVPR 2017 Commonly Uncommon: Semantic Sparsity in Situation Recognition Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi

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

WACV 2014 Furniture-Geek: Understanding Fine-Grained Furniture Attributes from Freely Associated Text and Tags Vicente Ordonez, Vignesh Jagadeesh, Wei Di, Anurag Bhardwaj, Robinson Piramuthu

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

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

CVPR 2011 High Level Describable Attributes for Predicting Aesthetics and Interestingness Sagnik Dhar, Vicente Ordonez, Tamara L. Berg

NeurIPS 2011 Im2Text: Describing Images Using 1 Million Captioned Photographs Vicente Ordonez, Girish Kulkarni, Tamara L. Berg