About
Hello there! I am Hao Chen, but feel free to call me Calvin too.
I hail from the beautiful Cantonese region in southeastern China.
Currently, I am a PhD student at the University of Cambridge under the expert guidance of Prof Chao Li.
Additionally, you can find me diving deep into the realm of AI as an active explorer
at the MI+x Lab
in the University of Birmingham with Prof Jianbo Jiao.
My passion lies in sculpting better representations by delving into diverse modalities and easing the reliance on supervision.
These interests find their purpose in tackling vision and healthcare challenges,
specifically in the realms of Image Processing/Segmentation/Generation and the captivating world of Medical Imaging.
News
Apr 2024: Our paper accepted by CVPR 2024 was selected as Oral (3.3%), appreciate the fantastic efforts made by everyone.
Feb 2024: One dataset paper has been accepted by CVPR 2024, gratitude to all involved!
Dec 2023: One paper has been accepted by ICASSP 2024, congrats to the co-workers.
Nov 2023: One journal paper has been accepted by Osteoarthritis and Cartilage 2023.
Jul 2023: One paper has been accepted by ICCV 2023.
Oct 2022: Awarded as Kaggle Competition Master (rank top 0.1%).
360+X: A Panoptic Multi-modal Scene Understanding Dataset
Multi-view Self-supervised Disentanglement for General Image Denoising
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation
Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center
Transformer-based Multi-label Deep Learning Model for Meticulous Diagnosis of Chronic Ankle Instability: Model Development and External Validation
Expanding from Unilateral to Bilateral: A Robust Deep Learning-based Approach for Radiographic Osteoarthritis Progression
BEVLoc: End-to-end 6-DoF Localization via Cross-modality Correlation Under Bird’S Eye View
Low-light Enhancement in the Frequency Domain
Hierarchical Articulated NeRF for 3D Human Reconstruction and Rendering
Noisy Visual Training: Learning Robust Low-level Image Prior
