Fernando Julio Cendra's Homepage

I'm currently a M.Phil. student at HKU School of Computing & Data Science (div. SAAS), advised by Prof. Kai Han in Visual AI Lab. Before that, I received my BEng (hons) in Electronic Engineering from the same university, where I was advised by Prof. Xiaojuan Qi.

I'm interested in designing novel learning methods with minimal supervision on {uni, multi}-modality data, including images, text, and videos. Ultimately, my research goal is to utilize these methods to develop perception systems that are generalized and reliable.

Publications

* denotes equal contribution

PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery

Fernando Julio Cendra, Bingchen Zhao, Kai Han

European Conference on Computer Vision (ECCV), 2024

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

Chan Tsai Hor^*, Fernando Julio Cendra^*, Lan Ma, Guosheng Yin, Lequan Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

SL3D: Self-supervised-Self-labeled 3D Recognition

Fernando Julio Cendra, Lan Ma, Jiajun Shen, Xiaojuan Qi

Neural Information Processing Systems Workshop on Self-supervised Learning: Theory & Practice (NeurIPS), 2022

Academic Services

Conference Reviewer: CVPR, ECCV, NeurIPS, AAAI

Teaching

Programming for Data Sciences (HKU STAT7008)

Teaching Assistant, Fall 2024 & Fall 2023
Applied Data Mining and Text Analytic (HKU ARIN7102)

Teaching Assistant, Spring 2024 & Spring 2023

Design and source code based on this website. Thanks!