3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Language-Guided Diffusion Model for Visual Grounding
Sijia Chen, Baochun Li
Visual grounding (VG) tasks involve explicit cross-modal alignment, as semantically corresponding image regions are to be located for the language phrases provided. Existing approa…
cs.CR2023
Permutation Equivariance of Transformers and Its Applications
Hengyuan Xu, Liyao Xiang, Hangyu Ye +3
Revolutionizing the field of deep learning, Transformer-based models have achieved remarkable performance in many tasks. Recent research has recognized these models are robust to s…
cs.LG2022★ 3 cited
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
Wanyu Lin, Hao Lan, Hao Wang +1
This paper proposes a new eXplanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors. Spe…