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05/28/2023
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models
Image ad understanding is a crucial task with wide real-world applicatio...
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05/18/2023
Discriminative Diffusion Models as Few-shot Vision and Language Learners
Diffusion models, such as Stable Diffusion, have shown incredible perfor...
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12/19/2022
MetaCLUE: Towards Comprehensive Visual Metaphors Research
Creativity is an indispensable part of human cognition and also an inher...
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12/09/2022
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Large-scale diffusion models have achieved state-of-the-art results on t...
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10/19/2022
CPL: Counterfactual Prompt Learning for Vision and Language Models
Prompt tuning is a new few-shot transfer learning technique that only tu...
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03/30/2021
Diagnosing Vision-and-Language Navigation: What Really Matters
Vision-and-language navigation (VLN) is a multimodal task where an agent...
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10/07/2020
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations
A major challenge in visually grounded language generation is to build r...
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08/23/2020
Leveraging Organizational Resources to Adapt Models to New Data Modalities
As applications in large organizations evolve, the machine learning (ML)...
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07/01/2020
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation
In the vision-and-language navigation (VLN) task, an agent follows natur...
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06/15/2020
Multi-Image Summarization: Textual Summary from a Set of Cohesive Images
Multi-sentence summarization is a well studied problem in NLP, while gen...
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11/14/2019