Vibashan VS

Orcid: 0000-0003-4766-2901

According to our database1, Vibashan VS authored at least 26 papers between 2019 and 2025.

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

Timeline

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Bibliography

2025
Certainty and Uncertainty Guided Active Domain Adaptation.
CoRR, May, 2025

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models.
CoRR, January, 2025

FaceXBench: Evaluating Multimodal LLMs on Face Understanding.
CoRR, January, 2025

Zero-Shot Scene Understanding for Automatic Target Recognition Using Large Vision-Language Models.
CoRR, January, 2025

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SegFace: Face Segmentation of Long-Tail Classes.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Target and task specific source-free domain adaptive image segmentation.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 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

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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