Rohit Jena

According to our database1, Rohit Jena authored at least 18 papers between 2019 and 2023.

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Bibliography

2023
Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching.
CoRR, 2023

SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos.
CoRR, 2023

Mesh Strikes Back: Fast and Efficient Human Reconstruction from RGB videos.
CoRR, 2023

Beyond mAP: Towards Better Evaluation of Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Beyond mAP: Re-evaluating and Improving Performance in Instance Segmentation with Semantic Sorting and Contrastive Flow.
CoRR, 2022

2021
Transfer Learning for Human Navigation and Triage Strategies Prediction in a Simulated Urban Search and Rescue Task.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Self-supervised Vessel Enhancement Using Flow-Based Consistencies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Predicting Human Strategies in Simulated Search and Rescue Task.
CoRR, 2020

Addressing reward bias in Adversarial Imitation Learning with neutral reward functions.
CoRR, 2020

MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning.
CoRR, 2020

Loss-annealed GAIL for sample efficient and stable Imitation Learning.
CoRR, 2020

Learning Image Inpainting from Incomplete Images using Self-Supervision.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

MA<sup>3</sup>: Model Agnostic Adversarial Augmentation for Few Shot learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Augmenting GAIL with BC for sample efficient imitation learning.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach.
Medical Image Anal., 2019

An approach to image denoising using manifold approximation without clean images.
CoRR, 2019

Out of the Box: A combined approach for handling occlusion in Human Pose Estimation.
CoRR, 2019

A Bayesian Neural Net to Segment Images with Uncertainty Estimates and Good Calibration.
Proceedings of the Information Processing in Medical Imaging, 2019


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