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Sunghoon Im's Projects

adfsm icon adfsm

All-around Depth from Small Motion with A Spherical Panoramic Camera

afb-urr icon afb-urr

Official implementation of "Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement", NeurIPS 2020.

balm icon balm

An efficient and consistent bundle adjustment for lidar mapping

cfbi icon cfbi

The official implementation of Collaborative Video Object Segmentation by Foreground-Background Integration.

deep-camera-relocalization icon deep-camera-relocalization

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization, Geometric loss functions for camera pose regression with deep learning, PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

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DeepMVS: Learning Multi-View Stereopsis

deepview icon deepview

An implementation of Google's Deepview paper https://augmentedperception.github.io/deepview/

deepvo icon deepvo

Implementing Monocular Visual Odometry with Deep Learning using TensorFlow

demon icon demon

DeMoN: Depth and Motion Network

dfusmc icon dfusmc

Depth from Uncalibrated Small Motion Clip

dpsnet icon dpsnet

[ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo

insta-dm icon insta-dm

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

masktrackrcnn icon masktrackrcnn

MaskTrackRCNN for video instance segmentation based on mmdetection

mc-calib icon mc-calib

A generic and robust calibration toolbox for multi-camera systems

psmnet icon psmnet

Pyramid Stereo Matching Network (CVPR2018)

ptsnet icon ptsnet

Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation

sfmlearner icon sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sfsm icon sfsm

High Quality Structure from Small Motion for Rolling Shutter Cameras

sipmask icon sipmask

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

stcn icon stcn

Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

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