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20172022
most citedZero-shot Learning via Shared-Reconstruction-Graph Pursuit

9 citations · 23 across the 13 of their papers we have counts for

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10 papers · 1 filter

cs.CV2022

PatchMix Augmentation to Identify Causal Features in Few-shot Learning

Chengming Xu, Chen Liu, Xinwei Sun +4

The task of Few-shot learning (FSL) aims to transfer the knowledge learned from base categories with sufficient labelled data to novel categories with scarce known information. It…

cs.CV2022

Domain Invariant Model with Graph Convolutional Network for Mammogram Classification

Churan Wang, Jing Li, Xinwei Sun +3

Due to its safety-critical property, the image-based diagnosis is desired to achieve robustness on out-of-distribution (OOD) samples. A natural way towards this goal is capturing o…

cs.CV2021

Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition

Mingzhou Liu, Xinwei Sun, Fandong Zhang +2

Context, as referred to situational factors related to the object of interest, can help infer the object's states or properties in visual recognition. As such contextual features a…

cs.CV20212 cited

Causal Hidden Markov Model for Time Series Disease Forecasting

Jing Li, Botong Wu, Xinwei Sun +1

We propose a causal hidden Markov model to achieve robust prediction of irreversible disease at an early stage, which is safety-critical and vital for medical treatment in early st…

cs.CV20209 cited

Identifying Invariant Texture Violation for Robust Deepfake Detection

Xinwei Sun, Botong Wu, Wei Chen

Existing deepfake detection methods have reported promising in-distribution results, by accessing published large-scale dataset. However, due to the non-smooth synthesis method, th…

cs.CV2020

Forecasting Irreversible Disease via Progression Learning

Botong Wu, Sijie Ren, Jing Li +3

Forecasting Parapapillary atrophy (PPA), i.e., a symptom related to most irreversible eye diseases, provides an alarm for implementing an intervention to slow down the disease prog…