3 citations · 4 across the 6 of their papers we have counts for
6 papers
Shadow Datasets, New challenging datasets for Causal Representation Learning
Jiageng Zhu, Hanchen Xie, Jianhua Wu +4
Discovering causal relations among semantic factors is an emergent topic in representation learning. Most causal representation learning (CRL) methods are fully supervised, which i…
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment
Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei +3
Dynamics prediction, which is the problem of predicting future states of scene objects based on current and prior states, is drawing increasing attention as an instance of learning…
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
Jiazhi Li, Wael Abd-Almageed
As the social impact of visual recognition has been under scrutiny, several protected-attribute balanced datasets emerged to address dataset bias in imbalanced datasets. However, i…
ULDGNN: A Fragmented UI Layer Detector Based on Graph Neural Networks
Jiazhi Li, Tingting Zhou, Yunnong Chen +4
While some work attempt to generate front-end code intelligently from UI screenshots, it may be more convenient to utilize UI design drafts in Sketch which is a popular UI design s…
UI Layers Merger: Merging UI layers via Visual Learning and Boundary Prior
Yun-nong Chen, Yan-kun Zhen, Chu-ning Shi +6
With the fast-growing GUI development workload in the Internet industry, some work on intelligent methods attempted to generate maintainable front-end code from UI screenshots. It…
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition
Jiazhi Li, Wael Abd-Almageed
As equality issues in the use of face recognition have garnered a lot of attention lately, greater efforts have been made to debiased deep learning models to improve fairness to mi…