Fernando Julio Cendra's Homepage

I'm currently an MPhil student at The University of Hong Kong, advised by Prof. Kai Han in Visual AI Lab. Before that, I received my BEng (hons) in Electronic Engineering from HKU.

I'm interested in designing learning algorithms with minimal supervision for {uni, multi}-modality data. Ultimately, my research goal is to utilize these methods to develop perception systems that enable machines to accurately interpret and interact with visual information.

News

[ Feb. 2025 ] One paper about concept learning with diffusion models is accepted to CVPR 2025.
[ Jul. 2024 ] One paper about continual category discovery is accepted to ECCV 2024.
[ Feb. 2023 ] One paper about histopathology graph representation learning is accepted to CVPR 2023.
[ Dec. 2022 ] One paper about 3D representation learning is accepted to NeurIPS Workshop 2022.

Publications

* denotes equal contribution

ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models

Fernando Julio Cendra and Kai Han

CVPR 2025

PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery

Fernando Julio Cendra, Bingchen Zhao and Kai Han

ECCV 2024

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

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

CVPR 2023

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

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

NeurIPS Workshop on Self-supervised Learning: Theory & Practice 2022

Academic Services

Conference Reviewer: CVPR, ECCV, ICCV, 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!