Vibashan VS

Orcid: 0000-0003-4766-2901

According to our database1, Vibashan VS authored at least 20 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Unsupervised Domain Adaptation of Object Detectors: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

FaceXFormer: A Unified Transformer for Facial Analysis.
CoRR, 2024

PosSAM: Panoptic Open-vocabulary Segment Anything.
CoRR, 2024

LQMFormer: Language-Aware Query Mask Transformer for Referring Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Entropic Open-Set Active Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards Online Domain Adaptive Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

On-the-Fly Test-time Adaptation for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

Open-Set Automatic Target Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Identifying risk factors of intracerebral hemorrhage stability using explainable attention model.
Medical Biol. Eng. Comput., 2022

Target and Task specific Source-Free Domain Adaptive Image Segmentation.
CoRR, 2022

Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Image Fusion Transformer.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Mixture of Teacher Experts for Source-Free Domain Adaptive Object Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery.
Medical Image Anal., 2021

Unsupervised Domain Adaption of Object Detectors: A Survey.
CoRR, 2021

MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Brain Tumor Segmentation and Survival Prediction Using 3D Attention UNet.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019


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