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20182024
most citedAll-Weather Deep Outdoor Lighting Estimation

10 citations · 13 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Direct and Explicit 3D Generation from a Single Image

Haoyu Wu, Meher Gitika Karumuri, Chuhang Zou +4

Current image-to-3D approaches suffer from high computational costs and lack scalability for high-resolution outputs. In contrast, we introduce a novel framework to directly genera…

cs.CV20241 cited

MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation

Yuelong Li, Yafei Mao, Raja Bala +1

We propose a single-shot approach to determining 6-DoF pose of an object with available 3D computer-aided design (CAD) model from a single RGB image. Our method, dubbed MRC-Net, co…

cs.CV201910 cited

All-Weather Deep Outdoor Lighting Estimation

Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy +3

We present a neural network that predicts HDR outdoor illumination from a single LDR image. At the heart of our work is a method to accurately learn HDR lighting from LDR panoramas…

cs.CV20192 cited

Fast Spatially-Varying Indoor Lighting Estimation

Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap +2

We propose a real-time method to estimate spatiallyvarying indoor lighting from a single RGB image. Given an image and a 2D location in that image, our CNN estimates a 5th order sp…

cs.CV2018

Self-supervised Multi-view Person Association and Its Applications

Minh Vo, Ersin Yumer, Kalyan Sunkavalli +3

Reliable markerless motion tracking of people participating in a complex group activity from multiple moving cameras is challenging due to frequent occlusions, strong viewpoint and…