Dongseok Shim

According to our database1, Dongseok Shim authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automatic Pseudo-LiDAR Annotation: Generation of Training Data for 3D Object Detection Networks.
IEEE Access, 2024

2023
AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal.
CoRR, 2023

DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model.
IROS, 2023

SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

NTIRE 2022 Challenge on Learning the Super-Resolution Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss.
CoRR, 2021

Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning.
CoRR, 2020

Detection-Aware Trajectory Generation for a Drone Cinematographer.
CoRR, 2020


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