Siva Karthik Mustikovela

According to our database1, Siva Karthik Mustikovela authored at least 16 papers between 2016 and 2024.

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

2024
Solving Computer Vision Problems through Self-Supervision and Generative Image Synthesis.
PhD thesis, 2024

VLMine: Long-Tail Data Mining with Vision Language Models.
CoRR, 2024

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Making Large Multimodal Models Understand Arbitrary Visual Prompts.
CoRR, 2023

NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
Self-Supervised Object Detection via Generative Image Synthesis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition.
CoRR, 2020

Self-Supervised Viewpoint Learning From Image Collections.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition.
Proceedings of the 8th International Conference on 3D Vision, 2020

2018
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes.
Int. J. Comput. Vis., 2018

iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects.
Proceedings of the Computer Vision - ACCV 2018, 2018

Geometric Image Synthesis.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
The Best of Both Worlds: Learning Geometry-based 6D Object Pose Estimation.
CoRR, 2017

Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?
Proceedings of the IEEE International Conference on Computer Vision, 2017

Augmented Reality meets Deep Learning.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Can Ground Truth Label Propagation from Video Help Semantic Segmentation?
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016


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