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20242026
most citedRandom Erasing vs. Model Inversion: A Promising Defense or a False Hope?

1 citations · 1 across the 9 of their papers we have counts for

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cs.CV2026

Spatially-Aware Class-Agnostic Object Counting

Robert Wijaya, Md. Tanvir Hossain, Amanda Kau +1

Generalised object counting aims to estimate the number of instances of an arbitrary object category from a single image, but many recent methods can struggle on structurally compl…

cs.CV2026

Mixture of Cognitive Experts in Large Vision-Language Models

Robert Wijaya, Ngai-Man Cheung

Large Vision Language Models (LVLMs) require strong reasoning over both visual and textual input. Recent work suggests that cognitive elements, especially diverse representations a…

cs.CV2026

Characterizing Detectability in 3DGS Poisoning: A Stage-wise Benchmark

Quoc-Anh Bui-Huynh, Thanh Duc Ngo, Xue Geng +4

3D Gaussian Splatting (3DGS) has rapidly emerged as a leading representation for real-time novel view synthesis, but recent work shows it is vulnerable to diverse poisoning attacks…

cs.CV2024

Synth-Align: Improving Trustworthiness in Vision-Language Model with Synthetic Preference Data Alignment

Robert Wijaya, Ngoc-Bao Nguyen, Ngai-Man Cheung

Large Vision-Language Models (LVLMs) have shown promising capabilities in understanding and generating information by integrating both visual and textual data. However, current mod…

cs.CV2024

On the Vulnerability of Skip Connections to Model Inversion Attacks

Jun Hao Koh, Sy-Tuyen Ho, Ngoc-Bao Nguyen +1

Skip connections are fundamental architecture designs for modern deep neural networks (DNNs) such as CNNs and ViTs. While they help improve model performance significantly, we iden…