211 citations · 1.2k across the 80 of their papers we have counts for
12 papers · 1 filter
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)…
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment
Xin Ye, Zhe Lin, Joon-Young Lee +3
We study the problem of learning a generalizable action policy for an intelligent agent to actively approach an object of interest in an indoor environment solely from its visual i…
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots
Xin Ye, Zhe Lin, Haoxiang Li +2
We study the problem of learning a navigation policy for a robot to actively search for an object of interest in an indoor environment solely from its visual inputs. While scene-dr…
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…
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering
Somak Aditya, Yezhou Yang, Chitta Baral
Many vision and language tasks require commonsense reasoning beyond data-driven image and natural language processing. Here we adopt Visual Question Answering (VQA) as an example t…
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
Yongcheng Jing, Yang Liu, Yezhou Yang +4
The Fast Style Transfer methods have been recently proposed to transfer a photograph to an artistic style in real-time. This task involves controlling the stroke size in the styliz…
DeepSIC: Deep Semantic Image Compression
Sihui Luo, Yezhou Yang, Mingli Song
Incorporating semantic information into the codecs during image compression can significantly reduce the repetitive computation of fundamental semantic analysis (such as object rec…
Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks
Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan +4
Confocal laser endomicroscopy (CLE), although capable of obtaining images at cellular resolution during surgery of brain tumors in real time, creates as many non-diagnostic as diag…