activity
20162026
most citedObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

130 citations · 587 across the 58 of their papers we have counts for

collaborators
Showing 2021Show all

11 papers · 1 filter

cs.CL2021

Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text

Christopher Clark, Jordi Salvador, Dustin Schwenk +13

Communicating with humans is challenging for AIs because it requires a shared understanding of the world, complex semantics (e.g., metaphors or analogies), and at times multi-modal…

math.AP2021

Asymptotic behavior of the free interface for entire vector minimizers in phase transitions

Nicholas D. Alikakos, Zhiyuan Geng, Arghir Zarnescu

We study globally bounded entire minimizers of Allen-Cahn systems for potentials with and $W(u)\sim |u-a…

cs.CV2021

Simple but Effective: CLIP Embeddings for Embodied AI

Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi +1

Contrastive language image pretraining (CLIP) encoders have been shown to be beneficial for a range of visual tasks from classification and detection to captioning and image manipu…

cs.CV2021

RobustNav: Towards Benchmarking Robustness in Embodied Navigation

Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi +1

As an attempt towards assessing the robustness of embodied navigation agents, we propose RobustNav, a framework to quantify the performance of embodied navigation agents when expos…

cs.CV2021★ 41 cited

Container: Context Aggregation Network

Peng Gao, Jiasen Lu, Hongsheng Li +2

Convolutional neural networks (CNNs) are ubiquitous in computer vision, with a myriad of effective and efficient variations. Recently, Transformers -- originally introduced in natu…

cs.CL2021

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World

Rowan Zellers, Ari Holtzman, Matthew Peters +4

We propose PIGLeT: a model that learns physical commonsense knowledge through interaction, and then uses this knowledge to ground language. We factorize PIGLeT into a physical dyna…