K J Joseph

Adobe Systems (United States) — United States

Computer Science · Physical Sciences

12h-index1.2kcitations38works2.62yr avg
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Research Topics

Multimodal Machine Learning Applications(15), Domain Adaptation and Few-Shot Learning(14), Advanced Neural Network Applications(12), Generative Adversarial Networks and Image Synthesis(7), Advanced Image and Video Retrieval Techniques(5)

Publications38 total

Step-by-step Layered Design Generation
arXiv (Cornell University)·2025Open Access
Teleportraits: Training-Free People Insertion into Any Scene
arXiv (Cornell University)·2025Open Access
Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation
arXiv (Cornell University)·2025Open Access
Design-O-Meter: Towards Evaluating and Refining Graphic Designs
2025· 1 cited
Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models
arXiv (Cornell University)·2025Open Access
Modeling the Impact of Sports Betting on Mathematics Performance Among Pre-Service Teachers in a Ghanaian College of Education
International Journal of Research and Innovation in Social Science·2025
Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation
2025Open Access
Design-o-meter: Towards Evaluating and Refining Graphic Designs
arXiv (Cornell University)·2024Open Access
MELFuSION: Synthesizing Music from Image and Language Cues Using Diffusion Models
2024· 7 cited
MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models
arXiv (Cornell University)·2024Open Access
CoPL: Contextual Prompt Learning for Vision-Language Understanding
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 11 citedOpen Access
Iterative Multi-granular Image Editing using Diffusion Models
2024· 12 cited
Data-Free Class-Incremental Hand Gesture Recognition
2023· 11 cited
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
2023· 22 cited
Iterative Multi-granular Image Editing using Diffusion Models
arXiv (Cornell University)·2023· 1 citedOpen Access
CoPL: Contextual Prompt Learning for Vision-Language Understanding
arXiv (Cornell University)·2023· 1 citedOpen Access
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
arXiv (Cornell University)·2023Open Access
New Objects on the Road? No Problem, We'll Learn Them Too
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)·2022
OW-DETR: Open-world Detection Transformer
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 199 cited
Energy-based Latent Aligner for Incremental Learning
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 33 cited
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Frequent Co-authors

Vineeth N Balasubramanian(20), Koustava Goswami(10), Salman Khan(6), Fahad Shahbaz Khan(6), Srikrishna Karanam(6), B. Srinivasan(6), Prateksha Udhayanan(6), Aishwarya Agarwal(4), Tripti Shukla(4), Balaji Vasan Srinivasan(4), S. Selina Jamil(3), Sriparna Saha(3), Jathushan Rajasegaran(2), Arghya Pal(2), Sailaja Rajanala(2), Vamshi Teja R(2), Krishnakant Singh(2), Apoorv Saxena(2), Fernando De la Torre(2), Sanjoy Chowdhury(2)