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 …
Embodied navigation with multi-modal information: A survey from tasks to methodology
Embodied AI aims to create agents that complete complex tasks by interacting with the
environment. A key problem in this field is embodied navigation which understands multi …
environment. A key problem in this field is embodied navigation which understands multi …
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 …
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 …
Scaling data generation in vision-and-language navigation
Recent research in language-guided visual navigation has demonstrated a significant
demand for the diversity of traversable environments and the quantity of supervision for …
demand for the diversity of traversable environments and the quantity of supervision for …
Vision-and-language navigation: A survey of tasks, methods, and future directions
A long-term goal of AI research is to build intelligent agents that can communicate with
humans in natural language, perceive the environment, and perform real-world tasks. Vision …
humans in natural language, perceive the environment, and perform real-world tasks. Vision …
Envedit: Environment editing for vision-and-language navigation
Abstract In Vision-and-Language Navigation (VLN), an agent needs to navigate through the
environment based on natural language instructions. Due to limited available data for agent …
environment based on natural language instructions. Due to limited available data for agent …
Structured scene memory for vision-language navigation
Recently, numerous algorithms have been developed to tackle the problem of vision-
language navigation (VLN), ie, entailing an agent to navigate 3D environments through …
language navigation (VLN), ie, entailing an agent to navigate 3D environments through …