Rohit Mohan

Orcid: 0000-0002-5067-4279

According to our database1, Rohit Mohan authored at least 27 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation.
CoRR, May, 2026

Hyperspectral Adapter for Semantic Segmentation With Vision Foundation Models.
IEEE Robotics Autom. Lett., March, 2026

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking.
CoRR, February, 2026

UP-Fuse: Uncertainty-guided LiDAR-Camera Fusion for 3D Panoptic Segmentation.
CoRR, February, 2026

ForecastOcc: Vision-based Semantic Occupancy Forecasting.
CoRR, February, 2026

2025
Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation.
Proceedings of the Applications of Medical Artificial Intelligence, 2025

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Learning Appearance and Motion Cues for Panoptic Tracking.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving.
IEEE Robotics Autom. Lett., November, 2024

Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities.
IEEE Robotics Autom. Lett., August, 2024

Panoptic Out-of-Distribution Segmentation.
IEEE Robotics Autom. Lett., May, 2024

Amodal Optical Flow.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Progressive Multi-Modal Fusion for Robust 3D Object Detection.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Neural Architecture Search for Dense Prediction Tasks in Computer Vision.
Int. J. Comput. Vis., July, 2023

2022
EfficientLPS: Efficient LiDAR Panoptic Segmentation.
IEEE Trans. Robotics, 2022

Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation.
IEEE Robotics Autom. Lett., 2022

Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking.
IEEE Robotics Autom. Lett., 2022

Amodal Panoptic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
EfficientPS: Efficient Panoptic Segmentation.
Int. J. Comput. Vis., 2021

7th AI Driving Olympics: 1st Place Report for Panoptic Tracking.
CoRR, 2021

2020
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation.
Int. J. Comput. Vis., 2020

Robust Vision Challenge 2020 - 1st Place Report for Panoptic Segmentation.
CoRR, 2020

MOPT: Multi-Object Panoptic Tracking.
CoRR, 2020

2019
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue.
Proceedings of the Robotics Research, 2019

Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2017
Classification of states of bi-stable oscillator using deep learning.
Proceedings of the 2017 International Conference on Advances in Computing, 2017


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