Abu Dhabi Emirate, United Arab Emirates
Developed and implemented PromptIR, a novel visual transformer-based prompt-learning framework for comprehensive image restoration and enhancement. This framework outperformed existing methods, improving by 0.9 dB across dehazing, deraining, and denoising benchmarks and was featured at NeurIPS 2023. Additionally, I adapted continual learning techniques like L2P and DualPrompt for video action recognition, boosting accuracy by over 10% and BWF by 14% on various benchmarks.