activity
20152025
most citedMatterport3D: Learning from RGB-D Data in Indoor Environments

337 citations · 873 across the 50 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.CV2022★ 1 cited

UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding

Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen +2

Performing 3D dense captioning and visual grounding requires a common and shared understanding of the underlying multimodal relationships. However, despite some previous attempts o…

cs.CV2022★ 1 cited

Exploiting Proximity-Aware Tasks for Embodied Social Navigation

Enrico Cancelli, Tommaso Campari, Luciano Serafini +2

Learning how to navigate among humans in an occluded and spatially constrained indoor environment, is a key ability required to embodied agent to be integrated into our society. In…

cs.CV2022★ 19 cited

Retrospectives on the Embodied AI Workshop

Matt Deitke, Dhruv Batra, Yonatan Bisk +36

We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped i…

cs.CV2022

Habitat-Matterport 3D Semantics Dataset

Karmesh Yadav, Ram Ramrakhya, Santhosh Kumar Ramakrishnan +9

We present the Habitat-Matterport 3D Semantics (HM3DSEM) dataset. HM3DSEM is the largest dataset of 3D real-world spaces with densely annotated semantics that is currently availabl…

cs.CV2022★ 16 cited

Understanding Pure CLIP Guidance for Voxel Grid NeRF Models

Han-Hung Lee, Angel X. Chang

We explore the task of text to 3D object generation using CLIP. Specifically, we use CLIP for guidance without access to any datasets, a setting we refer to as pure CLIP guidance.…

cs.CV2022

Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges

Sanjay Haresh, Xiaohao Sun, Hanxiao Jiang +2

Human-object interactions with articulated objects are common in everyday life. Despite much progress in single-view 3D reconstruction, it is still challenging to infer an articula…