@article{han2025model,title={Model Predictive Adversarial Imitation Learning for Planning from Observation},author={Han, Tyler and Bao, Yanda and Mehta, Bhaumik and Guo, Gabriel and Vishwakarma, Anubhav and Kang, Emily and Jung, Sanghun and Scalise, Rosario and Zhou, Jason and Xu, Bryan and others},booktitle={International Conference on Learning Representations},year={2026},doi={10.48550/arXiv.2507.21533},}
2025
Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
Sanghun Jung, Daehoon Gwak, Byron Boots, and 1 more author
In Proceedings of The 9th Conference on Robot Learning, 2025
@inproceedings{pmlr-v305-jung25b,title={Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes},author={Jung, Sanghun and Gwak, Daehoon and Boots, Byron and Hays, James},booktitle={Proceedings of The 9th Conference on Robot Learning},pages={2802--2822},year={2025},editor={Lim, Joseph and Song, Shuran and Park, Hae-Won},volume={305},series={Proceedings of Machine Learning Research},publisher={PMLR},url={https://proceedings.mlr.press/v305/jung25b.html},doi={10.48550/arXiv.2508.03890},}
Aim my robot: Precision local navigation to any object
Xiangyun Meng, Xuning Yang, Sanghun Jung, and 4 more authors
@article{meng2025aim,title={Aim my robot: Precision local navigation to any object},author={Meng, Xiangyun and Yang, Xuning and Jung, Sanghun and Ramos, Fabio and Jujjavarapu, Sri Sadhan and Paul, Sanjoy and Fox, Dieter},journal={IEEE Robotics and Automation Letters},year={2025},publisher={IEEE},doi={10.1109/lra.2025.3542323},}
Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics
Tyler Han, Preet Shah, Sidharth Rajagopal, and 8 more authors
@inproceedings{han2025wheeled,title={Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics},author={Han, Tyler and Shah, Preet and Rajagopal, Sidharth and Bao, Yanda and Jung, Sanghun and Talia, Sidharth and Guo, Gabriel and Xu, Bryan and Mehta, Bhaumik and Romig, Emma and others},booktitle={Conference on Robot Learning},pages={906--923},year={2025},organization={PMLR},doi={10.48550/arXiv.2502.07380},}
Details matter for indoor open-vocabulary 3D instance segmentation
Sanghun Jung, Jingjing Zheng, Ke Zhang, and 8 more authors
In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
@inproceedings{jung2025details,title={Details matter for indoor open-vocabulary 3D instance segmentation},author={Jung, Sanghun and Zheng, Jingjing and Zhang, Ke and Qiao, Nan and Chen, Albert YC and Xia, Lu and Liu, Chi and Sun, Yuyin and Zeng, Xiao and Huang, Hsiang-Wei and others},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={9627--9637},year={2025},doi={10.48550/arXiv.2507.23134},}
Zero-shot 3d question answering via voxel-based dynamic token compression
Hsiang-Wei Huang, Fu-Chen Chen, Wenhao Chai, and 7 more authors
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
@inproceedings{huang2025zero,title={Zero-shot 3d question answering via voxel-based dynamic token compression},author={Huang, Hsiang-Wei and Chen, Fu-Chen and Chai, Wenhao and Su, Che-Chun and Xia, Lu and Jung, Sanghun and Yang, Cheng-Yen and Hwang, Jenq-Neng and Sun, Min and Kuo, Cheng-Hao},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},pages={19424--19434},year={2025},doi={10.1109/cvpr52734.2025.01809},}
2024
V-strong: Visual self-supervised traversability learning for off-road navigation
Sanghun Jung, JoonHo Lee, Xiangyun Meng, and 2 more authors
In IEEE International Conference on Robotics and Automation (ICRA), 2024
@inproceedings{jung2024v,title={V-strong: Visual self-supervised traversability learning for off-road navigation},author={Jung, Sanghun and Lee, JoonHo and Meng, Xiangyun and Boots, Byron and Lambert, Alexander},booktitle={IEEE International Conference on Robotics and Automation (ICRA)},pages={1766--1773},year={2024},organization={IEEE},doi={10.1109/icra57147.2024.10611227},}
2023
Cafa: Class-aware feature alignment for test-time adaptation
Sanghun Jung, Jungsoo Lee, Nanhee Kim, and 3 more authors
In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
@inproceedings{jung2023cafa,title={Cafa: Class-aware feature alignment for test-time adaptation},author={Jung, Sanghun and Lee, Jungsoo and Kim, Nanhee and Shaban, Amirreza and Boots, Byron and Choo, Jaegul},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={19060--19071},year={2023},doi={10.1109/iccv51070.2023.01747},}
Lidar-uda: Self-ensembling through time for unsupervised lidar domain adaptation
Amirreza Shaban*, JoonHo Lee*, Sanghun Jung*, and 2 more authors
In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
@inproceedings{shaban2023lidar,title={Lidar-uda: Self-ensembling through time for unsupervised lidar domain adaptation},author={Shaban, Amirreza and Lee, JoonHo and Jung, Sanghun and Meng, Xiangyun and Boots, Byron},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},pages={19784--19794},year={2023},doi={10.1109/iccv51070.2023.01812},}
Cg-nerf: Conditional generative neural radiance fields for 3d-aware image synthesis
Kyungmin Jo, Gyumin Shim, Sanghun Jung, and 2 more authors
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
@inproceedings{jo2023cg,title={Cg-nerf: Conditional generative neural radiance fields for 3d-aware image synthesis},author={Jo, Kyungmin and Shim, Gyumin and Jung, Sanghun and Yang, Soyoung and Choo, Jaegul},booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},pages={724--733},year={2023},doi={10.1109/wacv56688.2023.00079},}
2022
3d-gif: 3d-controllable object generation via implicit factorized representations
Minsoo Lee, Chaeyeon Chung, Hojun Cho, and 4 more authors
@article{lee20223d,title={3d-gif: 3d-controllable object generation via implicit factorized representations},author={Lee, Minsoo and Chung, Chaeyeon and Cho, Hojun and Kim, Minjung and Jung, Sanghun and Choo, Jaegul and Sung, Minhyuk},journal={arXiv preprint arXiv:2203.06457},year={2022},doi={10.48550/arXiv.2203.06457},}
Improving evaluation of debiasing in image classification
Jungsoo Lee, Juyoung Lee, Sanghun Jung, and 1 more author
@article{lee2022improving,title={Improving evaluation of debiasing in image classification},author={Lee, Jungsoo and Lee, Juyoung and Jung, Sanghun and Choo, Jaegul},journal={arXiv preprint arXiv:2206.03680},year={2022},doi={10.48550/arXiv.2206.03680},}
2021
Standardized max logits: A simple yet effective approach for identifying unexpected road obstacles in urban-scene segmentation
Sanghun Jung*, Jungsoo Lee*, Daehoon Gwak, and 2 more authors
In Proceedings of the IEEE/CVF international conference on computer vision, 2021
@inproceedings{jung2021standardized,title={Standardized max logits: A simple yet effective approach for identifying unexpected road obstacles in urban-scene segmentation},author={Jung, Sanghun and Lee, Jungsoo and Gwak, Daehoon and Choi, Sungha and Choo, Jaegul},booktitle={Proceedings of the IEEE/CVF international conference on computer vision},pages={15425--15434},year={2021},doi={10.1109/iccv48922.2021.01514},}
Robustnet: Improving domain generalization in urban-scene segmentation via instance selective whitening
Sungha Choi*, Sanghun Jung*, Huiwon Yun, and 3 more authors
In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2021
@inproceedings{choi2021robustnet,title={Robustnet: Improving domain generalization in urban-scene segmentation via instance selective whitening},author={Choi, Sungha and Jung, Sanghun and Yun, Huiwon and Kim, Joanne T and Kim, Seungryong and Choo, Jaegul},booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},pages={11580--11590},year={2021},doi={10.1109/cvpr46437.2021.01141},}
2019
Visualizing for the non-visual: Enabling the visually impaired to use visualization
Jinho Choi, Sanghun Jung, Deok Gun Park, and 2 more authors
@inproceedings{choi2019visualizing,title={Visualizing for the non-visual: Enabling the visually impaired to use visualization},author={Choi, Jinho and Jung, Sanghun and Park, Deok Gun and Choo, Jaegul and Elmqvist, Niklas},booktitle={Computer graphics forum},volume={38},number={3},pages={249--260},year={2019},organization={Wiley Online Library},doi={10.1111/cgf.13686},}