3 citations · 6 across the 9 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026★ 1 cited
HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities
Esra Dönmez, Pascal Tilli, Hsiu-Yu Yang +2
Image-Text-Matching (ITM) is one of the defacto methods of learning generalized representations from a large corpus in Vision and Language (VL). However, due to the weak associatio…
cs.CL2024
Discrete Subgraph Sampling for Interpretable Graph based Visual Question Answering
Pascal Tilli, Ngoc Thang Vu
Explainable artificial intelligence (XAI) aims to make machine learning models more transparent. While many approaches focus on generating explanations post-hoc, interpretable appr…
cs.CL2024
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering
Pascal Tilli, Ngoc Thang Vu
The large success of deep learning based methods in Visual Question Answering (VQA) has concurrently increased the demand for explainable methods. Most methods in Explainable Artif…