JunYoung Gwak

According to our database1, JunYoung Gwak authored at least 15 papers between 2015 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

2022
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking.
CoRR, 2022

2020
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Generative Sparse Detection Networks for 3D Single-Shot Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments.
CoRR, 2019

3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Weakly Supervised Generative Adversarial Networks for 3D Reconstruction.
CoRR, 2017

SEGCloud: Semantic Segmentation of 3D Point Clouds.
Proceedings of the 2017 International Conference on 3D Vision, 2017

Weakly Supervised 3D Reconstruction with Adversarial Constraint.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Universal Correspondence Network.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Completing 3D object shape from one depth image.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015


  Loading...