A continual learning framework for a mobile embodied agent to learn online from disturbances and attribute anomalous behaviours to causes through semantics, enabling better prediction and planning. Collaboration between IIT Madras and CMU Robotics Institute.
@misc{ravie2026dontfool,title={{Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning}},author={Ravie, Navin Sriram and Jong, Andrew and Jain, Krrish and Liu, John and Alama, Omar and Sebastian, Bijo and Scherer, Sebastian},year={2026},eprint={2605.31119},archiveprefix={arXiv},primaryclass={cs.RO},url={https://arxiv.org/abs/2605.31119},}
ICRA
AnyThermal: Towards Learning Universal Representations for Thermal Perception
Parv Maheshwari, Jay Karhade, Yogesh Chawla, and 8 more authors
In IEEE International Conference on Robotics and Automation (ICRA), 2026
A thermal backbone capturing robust task-agnostic thermal features (cross-modal place recognition, thermal segmentation, monocular depth estimation) via knowledge distillation from visual foundation models, supported by the TartanRGBT dataset. Improvements of up to 36 percent across diverse environments and tasks.
@inproceedings{maheshwari2026anythermal,title={{AnyThermal: Towards Learning Universal Representations for Thermal Perception}},author={Maheshwari, Parv and Karhade, Jay and Chawla, Yogesh and Adu, Isaiah and Heisen, Florian and Porco, Andrew and Jong, Andrew and Liu, Yifei and Pitla, Santosh and Scherer, Sebastian and Wang, Wenshan},booktitle={IEEE International Conference on Robotics and Automation (ICRA)},year={2026},eprint={2602.06203},archiveprefix={arXiv},primaryclass={cs.CV},url={https://arxiv.org/abs/2602.06203},note={Accepted at IEEE ICRA 2026},}
T-RO
IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning
Brady G. Moon, Nayana Suvarna, Andrew Jong, and 4 more authors
@article{moon2026iatigris,title={{IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning}},author={Moon, Brady G. and Suvarna, Nayana and Jong, Andrew and Chatterjee, Satrajit and Yuan, Junbin and Cao, Muqing and Scherer, Sebastian A.},journal={IEEE Transactions on Robotics},volume={42},pages={1695--1713},year={2026},doi={10.1109/TRO.2026.3672542},url={https://doi.org/10.1109/TRO.2026.3672542},}
3DV
SmokeSeer: 3D Gaussian Splatting for Smoke Removal and Scene Reconstruction
Neham Jain, Andrew Jong, Sebastian A. Scherer, and 1 more author
In International Conference on 3D Vision (3DV), 2026
@inproceedings{jain2026smokeseer,title={{SmokeSeer: 3D Gaussian Splatting for Smoke Removal and Scene Reconstruction}},author={Jain, Neham and Jong, Andrew and Scherer, Sebastian A. and Gkioulekas, Ioannis},booktitle={International Conference on 3D Vision (3DV)},pages={510--519},year={2026},doi={10.1109/3DV69130.2026.00055},url={https://doi.org/10.1109/3DV69130.2026.00055},}
2025
RA-L
FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments
Devansh Dhrafani, Yifei Liu, Andrew Jong, and 6 more authors
@article{dhrafani2025firestereo,title={{FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments}},author={Dhrafani, Devansh and Liu, Yifei and Jong, Andrew and Shin, Ukcheol and He, Yao and Harp, Tyler and Hu, Yaoyu and Oh, Jean and Scherer, Sebastian A.},journal={IEEE Robotics and Automation Letters},volume={10},number={4},pages={3302--3309},year={2025},doi={10.1109/LRA.2025.3536278},url={https://doi.org/10.1109/LRA.2025.3536278},}
2023
IROS
WIT-UAS: A Wildland-Fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views
Andrew Jong, Mukai Yu, Devansh Dhrafani, and 4 more authors
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
@inproceedings{jong2023wituas,title={{WIT-UAS: A Wildland-Fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views}},author={Jong, Andrew and Yu, Mukai and Dhrafani, Devansh and Kailas, Siva and Moon, Brady and Sycara, Katia and Scherer, Sebastian},booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={11464--11471},year={2023},doi={10.1109/IROS55552.2023.10341683},url={https://doi.org/10.1109/IROS55552.2023.10341683},}
2021
IROS
3D Human Reconstruction in the Wild with Collaborative Aerial Cameras
Cherie Ho, Andrew Jong, Harry Freeman, and 3 more authors
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2021
@inproceedings{ho2021human3d,title={{3D Human Reconstruction in the Wild with Collaborative Aerial Cameras}},author={Ho, Cherie and Jong, Andrew and Freeman, Harry and Rao, Rohan and Bonatti, Rogerio and Scherer, Sebastian},booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={5263--5269},year={2021},month=sep,doi={10.1109/IROS51168.2021.9636745},url={https://doi.org/10.1109/IROS51168.2021.9636745},}
WACVW
ShineOn: Illuminating Design Choices for Practical Video-Based Virtual Clothing Try-On
Gaurav Kuppa, Andrew Jong, Xin Liu, and 2 more authors
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, Jan 2021
Generation of Human Behavior Workshop. Kuppa and Jong are co-first authors.
@inproceedings{kuppa2021shineon,title={{ShineOn: Illuminating Design Choices for Practical Video-Based Virtual Clothing Try-On}},author={Kuppa, Gaurav and Jong, Andrew and Liu, Xin and Liu, Ziwei and Moh, Teng-Sheng},booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},pages={191--200},year={2021},month=jan,note={Generation of Human Behavior Workshop. Kuppa and Jong are co-first authors.},}
2020
IGI
Virtual Try-On With Generative Adversarial Networks: A Taxonomical Survey
Andrew Jong, Melody Moh, and Teng-Sheng Moh
In Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies, Jan 2020
@incollection{jong2020virtualtryon,title={{Virtual Try-On With Generative Adversarial Networks: A Taxonomical Survey}},author={Jong, Andrew and Moh, Melody and Moh, Teng-Sheng},booktitle={Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies},editor={Sarfraz, Muhammad},pages={76--100},publisher={IGI Global},address={Hershey, PA, USA},year={2020},isbn={978-1-7998-4444-0},doi={10.4018/978-1-7998-4444-0.ch005},url={https://doi.org/10.4018/978-1-7998-4444-0.ch005},}
2019
HPCS
Short Video Datasets Show Potential for Outfits in Augmented Reality
Andrew Jong and Teng-Sheng Moh
In International Conference on High Performance Computing & Simulation (HPCS), Jul 2019
@inproceedings{jong2019shortvideo,title={{Short Video Datasets Show Potential for Outfits in Augmented Reality}},author={Jong, Andrew and Moh, Teng-Sheng},booktitle={International Conference on High Performance Computing \& Simulation (HPCS)},pages={201--208},year={2019},month=jul,publisher={IEEE},address={Dublin, Ireland},doi={10.1109/HPCS48598.2019.9188236},url={https://doi.org/10.1109/HPCS48598.2019.9188236},}
2018
NAACL
Generating Bilingual Pragmatic Color References
Will Monroe, Jennifer Hu, Andrew Jong, and 1 more author
In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), Jul 2018
@inproceedings{monroe2018bilingual,title={{Generating Bilingual Pragmatic Color References}},author={Monroe, Will and Hu, Jennifer and Jong, Andrew and Potts, Christopher},booktitle={Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},pages={2155--2165},year={2018},address={New Orleans, Louisiana},publisher={Association for Computational Linguistics},doi={10.18653/v1/N18-1196},url={https://aclanthology.org/N18-1196/},}