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20162023
most citedPointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing

81 citations · 347 across the 48 of their papers we have counts for

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Showing 2018 · cs.CVShow all

10 papers · 2 filters

cs.CV2018

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)…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

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…