K. J. Joseph

Orcid: 0000-0003-1168-1609

According to our database1, K. J. Joseph authored at least 23 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Iterative Multi-granular Image Editing using Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CoPL: Contextual Prompt Learning for Vision-Language Understanding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Contextual Prompt Learning for Vision-Language Understanding.
CoRR, 2023

Δ-Networks for Efficient Model Patching.
CoRR, 2023

Data-Free Class-Incremental Hand Gesture Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

D<sup>3</sup>Former: Debiased Dual Distilled Transformer for Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Incremental Object Detection via Meta-Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

New Objects on the Road? No Problem, We'll Learn Them Too.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Novel Class Discovery Without Forgetting.
Proceedings of the Computer Vision, 2022

Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Spacing Loss for Discovering Novel Categories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Energy-based Latent Aligner for Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OW-DETR: Open-world Detection Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Open World Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Incremental Object Detection via Meta-Learning.
CoRR, 2020

Meta-Consolidation for Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Zero-Shot Domain Generalization.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Submodular Batch Selection for Training Deep Neural Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
MASON: A Model AgnoStic ObjectNess Framework.
CoRR, 2018

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

MASON: A Model AgnoStic ObjectNess Framework.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


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