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* denotes equal contribution

Open-World Visual Concept Discovery and Extraction

Fernando Julio Cendra

M.Phil. Thesis, The University of Hong Kong, 2026

PartCo: Part-Level Correspondence Priors Enhance Category Discovery

Fernando Julio Cendra and Kai Han

ICML 2026

Can Bayesian Optimization Efficiently Find a Strong Single Expert in Neural Thickets?

Nigel Bastian Cendra, Abdelhamid Ezzerg, Fernando Julio Cendra, Jeremias Knoblauch and Jakob Zeitler

arXiv preprint 2026

Effective Prompt Pool Learning for Continual Category Discovery

Fernando Julio Cendra, Xinghui Li and Kai Han

arXiv preprint 2026 (extended version of PromptCCD)

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

Fernando Julio Cendra and Kai Han

CVPR 2025 Highlight (2.8% of submissions)

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

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