Gwak, D.[Donghyuk]
* 2017: Novel Digital Cancelation Method in Presence of Harmonic Self-Interference
* 2021: Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Includes: Gwak, D.[Donghyuk] Gwak, D.[Daehoon]
Gwak, I.
* 2020: Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-Occurrence Feature
Gwak, I.Y.[In Youb]
* 2019: Oblique aerial image matching based on iterative simulation and homography evaluation
Includes: Gwak, I.Y.[In Youb] Gwak, I.Y.[In-Youb]
Gwak, J.[Jun_Young]
* 2015: Completing 3D object shape from one depth image
* 2016: 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
* 2017: Multi-object tracking through learning relational appearance features and motion patterns
* 2018: Configuration of a min-cost flow network for data association in multi-object tracking
* 2018: DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image
* 2019: 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera
* 2019: framework for automatically constructing a dataset for training a vehicle detector, A
* 2019: Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
* 2022: OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images
* 2023: JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
Includes: Gwak, J.[Jun_Young] Gwak, J.[JunYoung] Gwak, J.[Jeonghwan] Gwak, J.
10 for Gwak, J.
Gwak, J.Y.[Jun Young]
* 2019: 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
* 2020: Generative Sparse Detection Networks for 3d Single-shot Object Detection
Includes: Gwak, J.Y.[Jun Young] Gwak, J.Y.[Jun-Young]
Gwak, M.[Moonsung]
* 2018: Non-stationary deep network for restoration of non-Stationary lens blur