Cascante-Bonilla, Paola

10 publications

ICLR 2025 Natural Language Inference Improves Compositionality in Vision-Language Models Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé Iii, Rachel Rudinger

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

CVPR 2023 CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogerio Feris, Zsolt Kira

CVPR 2023 ConStruct-VL: Data-Free Continual Structured VL Concepts Learning James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David Cox, Diyi Yang, Zsolt Kira, Rogerio Feris, Leonid Karlinsky

NeurIPS 2023 Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky

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

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