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Multimodal research in vision and language: A review of current and emerging trends
Deep Learning and its applications have cascaded impactful research and development
with a diverse range of modalities present in the real-world data. More recently, this has …
with a diverse range of modalities present in the real-world data. More recently, this has …
On transforming reinforcement learning with transformers: The development trajectory
Transformers, originally devised for natural language processing (NLP), have also produced
significant successes in computer vision (CV). Due to their strong expression power …
significant successes in computer vision (CV). Due to their strong expression power …
Llm-planner: Few-shot grounded planning for embodied agents with large language models
This study focuses on using large language models (LLMs) as a planner for embodied
agents that can follow natural language instructions to complete complex tasks in a visually …
agents that can follow natural language instructions to complete complex tasks in a visually …
How much can clip benefit vision-and-language tasks?
Most existing Vision-and-Language (V&L) models rely on pre-trained visual encoders, using
a relatively small set of manually-annotated data (as compared to web-crawled data), to …
a relatively small set of manually-annotated data (as compared to web-crawled data), to …
History aware multimodal transformer for vision-and-language navigation
Vision-and-language navigation (VLN) aims to build autonomous visual agents that follow
instructions and navigate in real scenes. To remember previously visited locations and …
instructions and navigate in real scenes. To remember previously visited locations and …
Think global, act local: Dual-scale graph transformer for vision-and-language navigation
Following language instructions to navigate in unseen environments is a challenging
problem for autonomous embodied agents. The agent not only needs to ground languages …
problem for autonomous embodied agents. The agent not only needs to ground languages …
Bird's-eye-view scene graph for vision-language navigation
Abstract Vision-language navigation (VLN), which entails an agent to navigate 3D
environments following human instructions, has shown great advances. However, current …
environments following human instructions, has shown great advances. However, current …
Panogen: Text-conditioned panoramic environment generation for vision-and-language navigation
Abstract Vision-and-Language Navigation requires the agent to follow language instructions
to navigate through 3D environments. One main challenge in Vision-and-Language …
to navigate through 3D environments. One main challenge in Vision-and-Language …
Vln bert: A recurrent vision-and-language bert for navigation
Accuracy of many visiolinguistic tasks has benefited significantly from the application of
vision-and-language (V&L) BERT. However, its application for the task of vision-and …
vision-and-language (V&L) BERT. However, its application for the task of vision-and …
Room-across-room: Multilingual vision-and-language navigation with dense spatiotemporal grounding
We introduce Room-Across-Room (RxR), a new Vision-and-Language Navigation (VLN)
dataset. RxR is multilingual (English, Hindi, and Telugu) and larger (more paths and …
dataset. RxR is multilingual (English, Hindi, and Telugu) and larger (more paths and …