fcendra

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.

Publications


* denotes equal contribution
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ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
Fernando Julio Cendra and Kai Han
CVPR 2025
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PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery
Fernando Julio Cendra, Bingchen Zhao and Kai Han
ECCV 2024
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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
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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!