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ORCIDVicente Ordonez
Vicente Ordóñez Román
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- affiliation: AI2, Allen Institute for Artificial Intelligence, Seattle, US
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2020 – today
- 2024
[c47]Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez:
ElasticDiffusion: Training-Free Arbitrary Size Image Generation Through Global-Local Content Separation. CVPR 2024: 6603-6612- [c46]Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordonez:
Improved Visual Grounding through Self-Consistent Explanations. CVPR 2024: 13095-13105 - [c45]Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez:
Grounding Language Models for Visual Entity Recognition. ECCV (11) 2024: 393-411 - [c44]Jefferson Hernandez, Ruben Villegas, Vicente Ordonez:
ViC-MAE: Self-supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders. ECCV (4) 2024: 444-463 - [c43]Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez:
PropTest: Automatic Property Testing for Improved Visual Programming. EMNLP (Findings) 2024: 8241-8256 - [c42]Shoubin Yu
, Jacob Zhiyuan Fang, Jian Zheng, Gunnar A. Sigurdsson, Vicente Ordonez, Robinson Piramuthu, Mohit Bansal:
Zero-Shot Controllable Image-to-Video Animation via Motion Decomposition. ACM Multimedia 2024: 3332-3341 - [c41]Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez:
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. WACV 2024: 5719-5729 - [i46]Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez:
Grounding Language Models for Visual Entity Recognition. CoRR abs/2402.18695 (2024) - [i45]Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordonez:
Learning from Models and Data for Visual Grounding. CoRR abs/2403.13804 (2024) - [i44]Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez:
PropTest: Automatic Property Testing for Improved Visual Programming. CoRR abs/2403.16921 (2024) - [i43]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 abs/2405.04834 (2024) - [i42]Jefferson Hernandez, Ruben Villegas, Vicente Ordonez:
Generative Visual Instruction Tuning. CoRR abs/2406.11262 (2024) - [i41]Moayed Haji-Ali, Willi Menapace, Aliaksandr Siarohin, Guha Balakrishnan, Sergey Tulyakov, Vicente Ordonez:
Taming Data and Transformers for Audio Generation. CoRR abs/2406.19388 (2024) - [i40]Sepehr Dehdashtian, Ruozhen He, Yi Li, Guha Balakrishnan, Nuno Vasconcelos, Vicente Ordonez, Vishnu Naresh Boddeti:
Fairness and Bias Mitigation in Computer Vision: A Survey. CoRR abs/2408.02464 (2024) - [i39]Zilin Xiao, Hongming Zhang, Tao Ge, Siru Ouyang, Vicente Ordonez, Dong Yu:
ParallelSpec: Parallel Drafter for Efficient Speculative Decoding. CoRR abs/2410.05589 (2024) - 2023
- [c40]Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez:
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. AISTATS 2023: 8433-8447 - [c39]Aman Shrivastava, Yanjun Qi, Vicente Ordonez:
Estimating and Maximizing Mutual Information for Knowledge Distillation. CVPR Workshops 2023: 48-57 - [c38]Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez:
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations. CVPR 2023: 19165-19174 - [c37]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: 20098-20108 - [i38]Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez:
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning. CoRR abs/2303.07615 (2023) - [i37]Jefferson Hernandez, Ruben Villegas, Vicente Ordonez:
Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders. CoRR abs/2303.12001 (2023) - [i36]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 abs/2303.17590 (2023) - [i35]Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez:
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. CoRR abs/2308.12910 (2023) - [i34]Shiyuan Huang, Robinson Piramuthu, Vicente Ordonez, Shih-Fu Chang, Gunnar A. Sigurdsson:
Characterizing Video Question Answering with Sparsified Inputs. CoRR abs/2311.16311 (2023) - [i33]Moayed Haji-Ali, Guha Balakrishnan, Vicente Ordonez:
ElasticDiffusion: Training-free Arbitrary Size Image Generation. CoRR abs/2311.18822 (2023) - [i32]Ruozhen He, Paola Cascante-Bonilla, Ziyan Yang, Alexander C. Berg, Vicente Ordonez:
Improved Visual Grounding through Self-Consistent Explanations. CoRR abs/2312.04554 (2023) - 2022
- [c36]Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez:
Sim VQA: Exploring Simulated Environments for Visual Question Answering. CVPR 2022: 5046-5056 - [c35]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: 1665-1670 - [i31]Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney, Vicente Ordóñez Román, Baishakhi Ray:
Repairing Group-Level Errors for DNNs Using Weighted Regularization. CoRR abs/2203.13612 (2022) - [i30]Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez:
SimVQA: Exploring Simulated Environments for Visual Question Answering. CoRR abs/2203.17219 (2022) - [i29]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 abs/2205.09830 (2022) - [i28]Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordóñez Román:
Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations. CoRR abs/2206.15462 (2022) - [i27]Paola Cascante-Bonilla, Leonid Karlinsky, James Seale Smith, Yanjun Qi, Vicente Ordonez:
On the Transferability of Visual Features in Generalized Zero-Shot Learning. CoRR abs/2211.12494 (2022) - 2021
- [j10]Ziyan Yang, Leticia Pinto-Alva, Franck Dernoncourt, Vicente Ordonez:
Backpropagation-Based Decoding for Multimodal Machine Translation. Frontiers Artif. Intell. 4: 736722 (2021) - [c34]Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez:
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning. AAAI 2021: 6912-6920 - [c33]Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez:
Evolving Image Compositions for Feature Representation Learning. BMVC 2021: 199 - [c32]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: 11443-11452 - [c31]Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi:
General Multi-Label Image Classification With Transformers. CVPR 2021: 16478-16488 - [c30]Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez:
Visual News: Benchmark and Challenges in News Image Captioning. EMNLP (1) 2021: 6761-6771 - [c29]Fuwen Tan, Jiangbo Yuan, Vicente Ordonez:
Instance-level Image Retrieval using Reranking Transformers. ICCV 2021: 12085-12095 - [c28]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: 13158-13168 - [i26]Fuwen Tan, Jiangbo Yuan, Vicente Ordonez:
Instance-level Image Retrieval using Reranking Transformers. CoRR abs/2103.12236 (2021) - [i25]Paola Cascante-Bonilla, Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez:
Evolving Image Compositions for Feature Representation Learning. CoRR abs/2106.09011 (2021) - [i24]Aman Shrivastava, Yanjun Qi, Vicente Ordonez:
Estimating and Maximizing Mutual Information for Knowledge Distillation. CoRR abs/2110.15946 (2021) - [i23]Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez:
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations. CoRR abs/2112.07133 (2021) - 2020
- [j9]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
Enabling AI at the edge with XNOR-networks. Commun. ACM 63(12): 83-90 (2020) - [c27]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: 5443-5453 - [c26]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: 11811-11820 - [c25]Ziyan Yang, Leticia Pinto-Alva, Franck Dernoncourt, Vicente Ordonez:
Using Visual Feature Space as a Pivot Across Languages. EMNLP (Findings) 2020: 3673-3678 - [c24]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray:
Testing DNN image classifiers for confusion & bias errors. ICSE (Companion Volume) 2020: 304-305 - [c23]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray:
Testing DNN image classifiers for confusion & bias errors. ICSE 2020: 1122-1134 - [i22]Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez:
Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning. CoRR abs/2001.06001 (2020) - [i21]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 abs/2005.00965 (2020) - [i20]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 abs/2006.03204 (2020) - [i19]Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez:
VisualNews : Benchmark and Challenges in Entity-aware Image Captioning. CoRR abs/2010.03743 (2020) - [i18]Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi:
General Multi-label Image Classification with Transformers. CoRR abs/2011.14027 (2020) - [i17]Leticia Pinto-Alva, Ian K. Torres, Rosangel Garcia, Ziyan Yang, Vicente Ordonez:
Chair Segments: A Compact Benchmark for the Study of Object Segmentation. CoRR abs/2012.01250 (2020)
2010 – 2019
- 2019
- [j8]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): 1513-1523 (2019) - [c22]Fuwen Tan, Song Feng, Vicente Ordonez:
Text2Scene: Generating Compositional Scenes From Textual Descriptions. CVPR 2019: 6710-6719 - [c21]Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez:
Bias and Fairness in Natural Language Processing. EMNLP/IJCNLP (2) 2019 - [c20]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: 5309-5318 - [c19]Paola Cascante-Bonilla, Xuwang Yin, Vicente Ordonez, Song Feng:
Chat-crowd: A Dialog-based Platform for Visual Layout Composition. NAACL-HLT (Demonstrations) 2019: 138-142 - [c18]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. NAACL-HLT (1) 2019: 629-634 - [c17]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: 2647-2657 - [i16]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. CoRR abs/1904.03310 (2019) - [i15]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray:
Testing Deep Neural Network based Image Classifiers. CoRR abs/1905.07831 (2019) - [i14]Paola Cascante-Bonilla, Kalpathy Sitaraman, Mengjia Luo, Vicente Ordonez:
Moviescope: Large-scale Analysis of Movies using Multiple Modalities. CoRR abs/1908.03180 (2019) - [i13]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 abs/1911.03826 (2019) - [i12]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 abs/1912.07773 (2019) - 2018
- [j7]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: 150-160 (2018) - [c16]Tianlu Wang, Kota Yamaguchi, Vicente Ordonez:
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence. CVPR 2018: 898-907 - [c15]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. NAACL-HLT (2) 2018: 15-20 - [c14]Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, Connelly Barnes:
Where and Who? Automatic Semantic-Aware Person Composition. WACV 2018: 1519-1528 - [i11]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. CoRR abs/1804.06876 (2018) - [i10]Shanmin Pang, Jin Ma, Jianru Xue, Jihua Zhu, Vicente Ordonez:
Deep Feature Aggregation with Heat Diffusion for Image Retrieval. CoRR abs/1805.08587 (2018) - [i9]Fuwen Tan, Song Feng, Vicente Ordonez:
Text2Scene: Generating Abstract Scenes from Textual Descriptions. CoRR abs/1809.01110 (2018) - [i8]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Adversarial Removal of Gender from Deep Image Representations. CoRR abs/1811.08489 (2018) - [i7]Xuwang Yin, Vicente Ordonez, Song Feng:
Chat-crowd: A Dialog-based Platform for Visual Layout Composition. CoRR abs/1812.04081 (2018) - 2017
- [c13]Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi:
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CVPR 2017: 6335-6344 - [c12]Xuwang Yin, Vicente Ordonez:
Obj2Text: Generating Visually Descriptive Language from Object Layouts. EMNLP 2017: 177-187 - [c11]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: 2979-2989 - [i6]Fuwen Tan, Crispin Bernier, Benjamin Cohen, Vicente Ordonez, Connelly Barnes:
Where and Who? Automatic Semantic-Aware Person Composition. CoRR abs/1706.01021 (2017) - [i5]Xuwang Yin, Vicente Ordonez:
OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts. CoRR abs/1707.07102 (2017) - [i4]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. CoRR abs/1707.09457 (2017) - [i3]Tianlu Wang, Kota Yamaguchi, Vicente Ordonez:
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence. CoRR abs/1710.08049 (2017) - 2016
- [j6]Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
Learning to name objects. Commun. ACM 59(3): 108-115 (2016) - [j5]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): 46-59 (2016) - [c10]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. ECCV (4) 2016: 525-542 - [c9]Mark Yatskar, Vicente Ordonez, Ali Farhadi:
Stating the Obvious: Extracting Visual Common Sense Knowledge. HLT-NAACL 2016: 193-198 - [i2]Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi:
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. CoRR abs/1603.05279 (2016) - [i1]Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi:
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CoRR abs/1612.00901 (2016) - 2015
- [b1]Vicente Ordonez:
Language and Perceptual Categorization in Computational Visual Recognition. University of North Carolina, Chapel Hill, USA, 2015 - [j4]Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
Predicting Entry-Level Categories. Int. J. Comput. Vis. 115(1): 29-43 (2015) - 2014
- [j3]Polina Kuznetsova, Vicente Ordonez, Tamara L. Berg, Yejin Choi:
TREETALK: Composition and Compression of Trees for Image Descriptions. Trans. Assoc. Comput. Linguistics 2: 351-362 (2014) - [c8]Vicente Ordonez, Tamara L. Berg:
Learning High-Level Judgments of Urban Perception. ECCV (6) 2014: 494-510 - [c7]Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, Tamara L. Berg:
ReferItGame: Referring to Objects in Photographs of Natural Scenes. EMNLP 2014: 787-798 - [c6]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: 317-324 - 2013
- [j2]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): 2891-2903 (2013) - [c5]Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi:
Generalizing Image Captions for Image-Text Parallel Corpus. ACL (2) 2013: 790-796 - [c4]Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
From Large Scale Image Categorization to Entry-Level Categories. ICCV 2013: 2768-2775 - 2012
- [c3]Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi:
Collective Generation of Natural Image Descriptions. ACL (1) 2012: 359-368 - 2011
- [c2]Sagnik Dhar, Vicente Ordonez, Tamara L. Berg:
High level describable attributes for predicting aesthetics and interestingness. CVPR 2011: 1657-1664 - [c1]Vicente Ordonez, Girish Kulkarni, Tamara L. Berg:
Im2Text: Describing Images Using 1 Million Captioned Photographs. NIPS 2011: 1143-1151
2000 – 2009
- 2009
- [j1]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): 18-25 (2009)
Coauthor Index
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