@article{han2026planning,title={Planning from Observation and Interaction},author={Han, Tyler and Shen, Siyang and Baijal, Rohan and Ravichandiran, Harine and Nemekhbold, Bat and Huang, Kevin and Jung, Sanghun and Boots, Byron},journal={arXiv preprint arXiv:2602.24121},year={2026},}
Model Predictive Adversarial Imitation Learning for Planning from Observation
Tyler Han, Yanda Bao, Bhaumik Mehta, and 8 more authors
In International Conference on Learning Representations, 2026
@inproceedings{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 Boots, Byron},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
In Proceedings of The 9th Conference on Robot Learning, 2025
@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={Proceedings of The 9th 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},}
