most citedHistory Aware Multimodal Transformer for Vision-and-Language Navigation

21 citations · 42 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 14 cited

Language Conditioned Spatial Relation Reasoning for 3D Object Grounding

Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi +2

Localizing objects in 3D scenes based on natural language requires understanding and reasoning about spatial relations. In particular, it is often crucial to distinguish similar ob…

cs.RO2022★ 7 cited

Instruction-driven history-aware policies for robotic manipulations

Pierre-Louis Guhur, Shizhe Chen, Ricardo Garcia +3

In human environments, robots are expected to accomplish a variety of manipulation tasks given simple natural language instructions. Yet, robotic manipulation is extremely challeng…

cs.CV2022

Learning from Unlabeled 3D Environments for Vision-and-Language Navigation

Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi +2

In vision-and-language navigation (VLN), an embodied agent is required to navigate in realistic 3D environments following natural language instructions. One major bottleneck for ex…

cs.CV2022

Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation

Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi +2

Following language instructions to navigate in unseen environments is a challenging problem for autonomous embodied agents. The agent not only needs to ground languages in visual s…

cs.CV2021★ 21 cited

History Aware Multimodal Transformer for Vision-and-Language Navigation

Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid +1

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 actio…

cs.CV2021

Airbert: In-domain Pretraining for Vision-and-Language Navigation

Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen +2

Vision-and-language navigation (VLN) aims to enable embodied agents to navigate in realistic environments using natural language instructions. Given the scarcity of domain-specific…