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20192023
most citedSpatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning

13 citations · 45 across the 20 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 10 cited

N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras

Junho Kim, Jaehyeok Bae, Gangin Park +2

We introduce N-ImageNet, a large-scale dataset targeted for robust, fine-grained object recognition with event cameras. The dataset is collected using programmable hardware in whic…

cs.CV2021★ 5 cited

SGoLAM: Simultaneous Goal Localization and Mapping for Multi-Object Goal Navigation

Junho Kim, Eun Sun Lee, Mingi Lee +2

We present SGoLAM, short for simultaneous goal localization and mapping, which is a simple and efficient algorithm for Multi-Object Goal navigation. Given an agent equipped with an…

cs.CV2021

PICCOLO: Point Cloud-Centric Omnidirectional Localization

Junho Kim, Changwoon Choi, Hojun Jang +1

We present PICCOLO, a simple and efficient algorithm for omnidirectional localization. Given a colored point cloud and a 360 panorama image of a scene, our objective is to recover…

cs.CV2021

GATSBI: Generative Agent-centric Spatio-temporal Object Interaction

Cheol-Hui Min, Jinseok Bae, Junho Lee +1

We present GATSBI, a generative model that can transform a sequence of raw observations into a structured latent representation that fully captures the spatio-temporal context of t…

cs.CV2021★ 1 cited

Learning to Generate 3D Shapes with Generative Cellular Automata

Dongsu Zhang, Changwoon Choi, Jeonghwan Kim +1

We present a probabilistic 3D generative model, named Generative Cellular Automata, which is able to produce diverse and high quality shapes. We formulate the shape generation proc…