2 citations · 6 across the 7 of their papers we have counts for
7 papers
Progressive Compositionality in Text-to-Image Generative Models
Evans Xu Han, Linghao Jin, Xiaofeng Liu +1
Despite the impressive text-to-image (T2I) synthesis capabilities of diffusion models, they often struggle to understand compositional relationships between objects and attributes,…
Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models
Linghao Jin, Li An, Xuezhe Ma
Discourse phenomena in existing document-level translation datasets are sparse, which has been a fundamental obstacle in the development of context-aware machine translation models…
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models
Xu Han, Linghao Jin, Xuezhe Ma +1
Fine-tuning pre-trained Vision-Language Models (VLMs) has shown remarkable capabilities in medical image and textual depiction synergy. Nevertheless, many pre-training datasets are…
Challenges in Context-Aware Neural Machine Translation
Linghao Jin, Jacqueline He, Jonathan May +1
Context-aware neural machine translation involves leveraging information beyond sentence-level context to resolve inter-sentential discourse dependencies and improve document-level…
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
Xiaofeng Liu, Bo Hu, Linghao Jin +6
In this work, we propose a domain generalization (DG) approach to learn on several labeled source domains and transfer knowledge to a target domain that is inaccessible in training…
Identity-aware Facial Expression Recognition in Compressed Video
Xiaofeng Liu, Linghao Jin, Xu Han +3
This paper targets to explore the inter-subject variations eliminated facial expression representation in the compressed video domain. Most of the previous methods process the RGB…
Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video
Xiaofeng Liu, Linghao Jin, Xu Han +1
How to extract effective expression representations that invariant to the identity-specific attributes is a long-lasting problem for facial expression recognition (FER). Most of th…