81 citations · 347 across the 48 of their papers we have counts for
10 papers · 2 filters
Spatial Knowledge Distillation to aid Visual Reasoning
Somak Aditya, Rudra Saha, Yezhou Yang +1
For tasks involving language and vision, the current state-of-the-art methods tend not to leverage any additional information that might be present to gather relevant (commonsense)…
Interpretable Partitioned Embedding for Customized Fashion Outfit Composition
Zunlei Feng, Zhenyun Yu, Yezhou Yang +3
Intelligent fashion outfit composition becomes more and more popular in these years. Some deep learning based approaches reveal competitive composition recently. However, the unexp…
Weakly Supervised Attention Learning for Textual Phrases Grounding
Zhiyuan Fang, Shu Kong, Tianshu Yu +1
Grounding textual phrases in visual content is a meaningful yet challenging problem with various potential applications such as image-text inference or text-driven multimedia inter…
Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning
Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney +4
Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence imaging technology that has the potential to increase intraoperative precision, extend resection, and tailor…
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images
Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo +7
Confocal Laser Endomicroscope (CLE) is a novel handheld fluorescence imaging device that has shown promise for rapid intraoperative diagnosis of brain tumor tissue. Currently CLE i…
Transductive Unbiased Embedding for Zero-Shot Learning
Jie Song, Chengchao Shen, Yezhou Yang +2
Most existing Zero-Shot Learning (ZSL) methods have the strong bias problem, in which instances of unseen (target) classes tend to be categorized as one of the seen (source) classe…