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Hi there, I'm Seunghyeok Back 👋

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  • 👨‍🎓 My research interests are centered around unseen object robotic manipulation, focusing on segmentation, grasping, and placement of novel objects using deep learning.

  • I recently completed my PhD under the supervision of Professor Kyoobin Lee at GIST from 2018 to 2024. During my doctoral studies, I interned as an Applied Scientist at Amazon Robotics in Berlin from 2023 to 2024. I am also a two-time recipient of the Samsung HumanTech Paper Awards in 2022 and 2023.

  • My research has been successfully applied to Amazon warehouse robots, furniture assembly, and human-robot collaboration. Currently, I am expanding my work on test-time adaptation and foundation models to improve robustness in new domains. Check more details in my personal website

  • 📬 Feel free to reach out for collaboration, questions, or just a chat about robotics and AI!

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Seunghyeok Back's Projects

6dof-graspnet icon 6dof-graspnet

Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.

adagrasp icon adagrasp

[ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy

augmentedautoencoder icon augmentedautoencoder

Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

blenderproc icon blenderproc

A procedural Blender pipeline for photorealistic training image generation

bop_toolkit icon bop_toolkit

A Python toolkit of the BOP benchmark for 6D object pose estimation.

bpycv icon bpycv

Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

cascadepsp icon cascadepsp

[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

centermask2 icon centermask2

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

comment_parser icon comment_parser

Python module to extract comments from source code files of various types.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detr icon detr

End-to-End Object Detection with Transformers

dex-net icon dex-net

Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics

easy_handeye icon easy_handeye

Simple, straighforward ROS library for hand-eye calibration

fiducials icon fiducials

Simultaneous localization and mapping using fiducial markers.

frankmocap icon frankmocap

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

gendexgrasp icon gendexgrasp

Code Repository for GenDexGrasp: Generalizing Dexterous Grasping across Robotic Hands via Contact Map Matching

geonet icon geonet

GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

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