Search Results for author: Hae-Gon Jeon

Found 10 papers, 2 papers with code

Explainable Semantic Mapping for First Responders

no code implementations15 Oct 2019 Jean Oh, Martial Hebert, Hae-Gon Jeon, Xavier Perez, Chia Dai, Yeeho Song

One of the key challenges in the semantic mapping problem in postdisaster environments is how to analyze a large amount of data efficiently with minimal supervision.

Semantic Segmentation

DPSNet: End-to-end Deep Plane Sweep Stereo

1 code implementation ICLR 2019 Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon

The cost volume is constructed using a differentiable warping process that allows for end-to-end training of the network.

Optical Flow Estimation

Robust Depth Estimation from Auto Bracketed Images

no code implementations CVPR 2018 Sunghoon Im, Hae-Gon Jeon, In So Kweon

As demand for advanced photographic applications on hand-held devices grows, these electronics require the capture of high quality depth.

Depth Estimation Stereo Matching +1

Noise Robust Depth From Focus Using a Ring Difference Filter

no code implementations CVPR 2017 Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon

With the result from the FM, the role of a DfF pipeline is to determine and recalculate unreliable measurements while enhancing those that are reliable.

High-Quality Depth From Uncalibrated Small Motion Clip

no code implementations CVPR 2016 Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In So Kweon

We propose a novel approach that generates a high-quality depth map from a set of images captured with a small viewpoint variation, namely small motion clip.

Complementary Sets of Shutter Sequences for Motion Deblurring

no code implementations ICCV 2015 Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon

In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique.

Deblurring

High Quality Structure From Small Motion for Rolling Shutter Cameras

no code implementations ICCV 2015 Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon

To address these problems, we introduce a novel 3D reconstruction method from narrow-baseline image sequences that effectively handles the effects of a rolling shutter that occur from most of commercial digital cameras.

3D Reconstruction Depth Estimation

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