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Paola Cascante-Bonilla
Paola Cascante-Bonilla
Postdoctoral Associate, University of Maryland Institute for Advanced Computer Studies (UMIACS)
Verified email at umiacs.umd.edu - Homepage
Title
Cited by
Cited by
Year
Curriculum labeling: Revisiting pseudo-labeling for semi-supervised learning
P Cascante-Bonilla, F Tan, Y Qi, V Ordonez
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 2020
3592020
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
JS Smith, L Karlinsky, V Gutta, P Cascante-Bonilla, D Kim, A Arbelle, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023
154*2023
Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning
JS Smith, L Karlinsky, V Gutta, P Cascante-Bonilla, D Kim, A Arbelle, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1422023
SimVQA: Exploring Simulated Environments for Visual Question Answering
P Cascante-Bonilla, H Wu, L Wang, R Feris, V Ordonez
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022
432022
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
S Doveh, A Arbelle, S Harary, A Alfassy, R Herzig, D Kim, ...
Advances in neural information processing systems 36, 2023
422023
Going beyond nouns with vision & language models using synthetic data
P Cascante-Bonilla, K Shehada, JS Smith, S Doveh, D Kim, R Panda, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
422023
Moviescope: Large-scale analysis of movies using multiple modalities
P Cascante-Bonilla, K Sitaraman, M Luo, V Ordonez
arXiv preprint arXiv:1908.03180, 2019
362019
Drill-down: Interactive retrieval of complex scenes using natural language queries
F Tan, P Cascante-Bonilla, X Guo, H Wu, S Feng, V Ordonez
Advances in neural information processing systems 32, 2019
322019
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
JS Smith, P Cascante-Bonilla, A Arbelle, D Kim, R Panda, D Cox, D Yang, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023
212023
Improved Visual Grounding through Self-Consistent Explanations
R He, P Cascante-Bonilla, Z Yang, AC Berg, V Ordonez
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2024
112024
Grounding language models for visual entity recognition
Z Xiao, M Gong, P Cascante-Bonilla, X Zhang, J Wu, V Ordonez
European Conference on Computer Vision, 393-411, 2025
82025
Evolving Image Compositions for Feature Representation Learning
P Cascante-Bonilla, A Sekhon, Y Qi, V Ordonez
British Machine Vision Conference (BMVC) 2021, 2021
82021
PropTest: Automatic Property Testing for Improved Visual Programming
J Koo, Z Yang, P Cascante-Bonilla, B Ray, V Ordonez
The 2024 Conference on Empirical Methods in Natural Language Processing, 2024
32024
Learning from Models and Data for Visual Grounding
R He, P Cascante-Bonilla, Z Yang, AC Berg, V Ordonez
arXiv preprint arXiv:2403.13804, 2024
32024
On the transferability of visual features in generalized zero-shot learning
P Cascante-Bonilla, L Karlinsky, JS Smith, Y Qi, V Ordonez
arXiv preprint arXiv:2211.12494, 2022
22022
Chat-crowd: A Dialog-based Platform for Visual Layout Composition
P Cascante-Bonilla, X Yin, V Ordonez, S Feng
North American Chapter of the Association for Computational Linguistics …, 2019
22019
Natural Language Inference Improves Compositionality in Vision-Language Models
P Cascante-Bonilla, Y Hou, YT Cao, H Daumé III, R Rudinger
arXiv preprint arXiv:2410.22315, 2024
2024
More from Less: Learning with Limited Annotated Data in Vision and Language
P Cascante-Bonilla
Rice University, 2024
2024
Is Synthetic Data Ready for Improving Visual Grounding?
R He, Z Yang, P Cascante-Bonilla, AC Berg, V Ordonez
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