Sangyun Shin

21 papers A* 5A 3Misc 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Revisiting U-Net: a foundational backbone for modern generative AI.
Artif. Intell. Rev.
Marvin John Ignacio, Sangyun Shin, Hulin Jin, Seong Joon Yoo, Dongil Han, Yong-Guk Kim
2026 J jnl
WildDepth: A Multimodal Dataset for 3D Wildlife Perception and Depth Estimation.
CoRR
Muhammad Aamir, Naoya Muramatsu, Sangyun Shin, Matthew Wijers, Jia-Xing Zhong, Xinyu Hou, Amir Patel, Andrew Loveridge, Andrew Markham
2025 A conf
SoundLoc3D: Invisible 3D Sound Source Localization and Classification Using a Multimodal RGB-D Acoustic Camera.
WACV
Yuhang He, Sangyun Shin, Anoop Cherian, Niki Trigoni, Andrew Markham
2024 A* conf
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models.
ICRA
Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni
2024 J jnl
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models.
CoRR
Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni
2024 J jnl
SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field.
CoRR
Yuhang He, Shitong Xu, Jia-Xing Zhong, Sangyun Shin, Niki Trigoni, Andrew Markham
2024 A conf
Sound3DVDet: 3D Sound Source Detection using Multiview Microphone Array and RGB Images.
WACV
Yuhang He, Sangyun Shin, Anoop Cherian, Niki Trigoni, Andrew Markham
2024 J jnl
SoundLoc3D: Invisible 3D Sound Source Localization and Classification Using a Multimodal RGB-D Acoustic Camera.
CoRR
Yuhang He, Sangyun Shin, Anoop Cherian, Niki Trigoni, Andrew Markham
2024 A* conf
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation.
CVPR
Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni
2024 A* conf
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection.
NeurIPS
Sangyun Shin, Yuhang He, Madhu Vankadari, Ta Ying Cheng, Qian Xie, Andrew Markham, Niki Trigoni
2023 A* conf
DynPoint: Dynamic Neural Point For View Synthesis.
NeurIPS
Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
2023 J jnl
DynPoint: Dynamic Neural Point For View Synthesis.
CoRR
Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
2023 A* conf
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR.
ICRA
Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni
2023 J jnl
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation.
CoRR
Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni
2022 A conf
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV.
IROS
Stuart Golodetz, Madhu Vankadari, Aluna Everitt, Sangyun Shin, Andrew Markham, Niki Trigoni
2022 J jnl
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV.
CoRR
Stuart Golodetz, Madhu Vankadari, Aluna Everitt, Sangyun Shin, Andrew Markham, Niki Trigoni
2022 J jnl
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR.
CoRR
Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni
2022 J jnl
Tighter Variational Bounds are Not Necessarily Better. A Research Report on Implementation, Ablation Study, and Extensions.
CoRR
Amine M'Charrak, Vít Ruzicka, Sangyun Shin, Madhu Vankadari
2022 Misc conf
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation.
CoRL
Madhu Vankadari, Stuart Golodetz, Sourav Garg, Sangyun Shin, Andrew Markham, Niki Trigoni
2022 J jnl
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation.
CoRR
Madhu Vankadari, Stuart Golodetz, Sourav Garg, Sangyun Shin, Andrew Markham, Niki Trigoni
2019 — conf
Evolution Algorithm and Online Learning for Racing Drone.
NeurIPS (Competition and Demos)
Sangyun Shin, Yongwon Kang, Yong-Guk Kim