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05/24/2023
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Attaining a high degree of user controllability in visual generation oft...
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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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04/30/2023
Multimodal Graph Transformer for Multimodal Question Answering
Despite the success of Transformer models in vision and language tasks, ...
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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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11/25/2022
ComCLIP: Training-Free Compositional Image and Text Matching
Contrastive Language-Image Pretraining (CLIP) has demonstrated great zer...
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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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08/28/2022
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
Building a conversational embodied agent to execute real-life tasks has ...
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03/29/2022
Parameter-efficient Fine-tuning for Vision Transformers
In computer vision, it has achieved great success in adapting large-scal...
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05/11/2020
On the Generation of Medical Dialogues for COVID-19
Under the pandemic of COVID-19, people experiencing COVID19-related symp...
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03/30/2020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
CT scans are promising in providing accurate, fast, and cheap screening ...
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03/07/2020