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20172023
most citedBDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

203 citations · 252 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2023

Neural Lens Modeling

Wenqi Xian, Aljaž Božič, Noah Snavely +1

Recent methods for 3D reconstruction and rendering increasingly benefit from end-to-end optimization of the entire image formation process. However, this approach is currently limi…

cs.CV2022

FactorMatte: Redefining Video Matting for Re-Composition Tasks

Zeqi Gu, Wenqi Xian, Noah Snavely +1

We propose "factor matting", an alternative formulation of the video matting problem in terms of counterfactual video synthesis that is better suited for re-composition tasks. The…

cs.CV2022

Stay Positive: Non-Negative Image Synthesis for Augmented Reality

Katie Luo, Guandao Yang, Wenqi Xian +3

In applications such as optical see-through and projector augmented reality, producing images amounts to solving non-negative image generation, where one can only add light to an e…

cs.CV2020★ 15 cited

Space-time Neural Irradiance Fields for Free-Viewpoint Video

Wenqi Xian, Jia-Bin Huang, Johannes Kopf +1

We present a method that learns a spatiotemporal neural irradiance field for dynamic scenes from a single video. Our learned representation enables free-viewpoint rendering of the…

cs.CV2020

Crowdsampling the Plenoptic Function

Zhengqi Li, Wenqi Xian, Abe Davis +1

Many popular tourist landmarks are captured in a multitude of online, public photos. These photos represent a sparse and unstructured sampling of the plenoptic function for a parti…

cs.CV2019★ 9 cited

UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images

Wenqi Xian, Zhengqi Li, Matthew Fisher +3

We introduce UprightNet, a learning-based approach for estimating 2DoF camera orientation from a single RGB image of an indoor scene. Unlike recent methods that leverage deep learn…

cs.CV2018★ 203 cited

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Fisher Yu, Haofeng Chen, Xin Wang +5

Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving. Re…

cs.CV2017★ 25 cited

TextureGAN: Controlling Deep Image Synthesis with Texture Patches

Wenqi Xian, Patsorn Sangkloy, Varun Agrawal +5

In this paper, we investigate deep image synthesis guided by sketch, color, and texture. Previous image synthesis methods can be controlled by sketch and color strokes but we are t…