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20182023
most citedQuadTree Attention for Vision Transformers

70 citations · 254 across the 24 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023

PanoContext-Former: Panoramic Total Scene Understanding with a Transformer

Yuan Dong, Chuan Fang, Liefeng Bo +2

Panoramic image enables deeper understanding and more holistic perception of surrounding environment, which can naturally encode enriched scene context information comp…

cs.CV2023

Compact Real-time Radiance Fields with Neural Codebook

Lingzhi Li, Zhongshu Wang, Zhen Shen +2

Reconstructing neural radiance fields with explicit volumetric representations, demonstrated by Plenoxels, has shown remarkable advantages on training and rendering efficiency, whi…

cs.CV2023★ 1 cited

Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos

Ziqian Bai, Feitong Tan, Zeng Huang +12

We propose a method to learn a high-quality implicit 3D head avatar from a monocular RGB video captured in the wild. The learnt avatar is driven by a parametric face model to achie…

cs.CV2023★ 1 cited

Learning Optical Flow from Event Camera with Rendered Dataset

Xinglong Luo, Kunming Luo, Ao Luo +3

We study the problem of estimating optical flow from event cameras. One important issue is how to build a high-quality event-flow dataset with accurate event values and flow labels…

cs.CV2023★ 10 cited

Dense RGB SLAM with Neural Implicit Maps

Heng Li, Xiaodong Gu, Weihao Yuan +3

There is an emerging trend of using neural implicit functions for map representation in Simultaneous Localization and Mapping (SLAM). Some pioneer works have achieved encouraging r…