Wele Gedara Chaminda Bandara
I am a final-year Ph.D. student in Electrical and Computer Engineering (ECE) department at Johns Hopkins University, advised by Prof. Vishal M. Patel.
My current research focuses on self-supervised representation learning, parameter efficient fine-tuning for downstream tasks, Generative AI, and low-level vision applications including image segmentation, change detection, and image super-resolution.
I am always open to collaborate and embrace new challenges and ideas.
Updates
June 18-23, 2023: Presented our papers ("AdaMAE" and "Unite and Conquer") at CVPR'23 in Vancouver, Canada!
May 1, 2023: I joined Apple as video research intern during summer 2023!
Feb 27, 2023: Two papers accepted for the CVPR'23.
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders (click here)
Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models (click here)
May 4, 2022: Our paper "Orientation-guided Graph Convolutional Network for Bone Surface Segmentation" has been accepted at MICCAI'22 (early acceptance).
April 29, 2022: Our paper "SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving" has been selected for the finalists (top 3) of the ICRA 2022 Outstanding Automation paper!
March 1, 2022: Our paper "HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening" has been accepted at CVPR'22. Click here to find out more about this work.
Contact
Personal email: w.chamindabandara@gmail.com
JHU email: wbandar1@jhu.edu
Office: Barton 225-A, Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA