Vidit Goel

Orcid: 0000-0001-8483-6363

According to our database1, Vidit Goel authored at least 14 papers between 2020 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
VASE: Object-Centric Appearance and Shape Manipulation of Real Videos.
CoRR, 2024

Video Instance Matting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

VMFormer: End-to-End Video Matting with Transformer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Interactive Neural Painting.
Comput. Vis. Image Underst., October, 2023

Broad Spectrum Image Deblurring via an Adaptive Super-Network.
IEEE Trans. Image Process., 2023

Collaborative Content-Dependent Modeling: A Return to the Roots of Salient Object Detection.
IEEE Trans. Image Process., 2023

PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models.
CoRR, 2023

VideoMatt: A Simple Baseline for Accessible Real-Time Video Matting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
MSN: Efficient Online Mask Selection Network for Video Instance Segmentation.
CoRR, 2021

Mask Selection and Propagation for Unsupervised Video Object Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Distill DSM: Computationally efficient method for segmentation of medical imaging volumes.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions].
IEEE Robotics Autom. Mag., 2020

IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report.
CoRR, 2020


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