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Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
Histology-based grade classification is clinically important for many ca...
10/29/2019 ∙ by Jingwen Wang, et al. ∙
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Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding
Convolutional neural networks can be trained to perform histology slide ...
10/23/2019 ∙ by Ming Y. Lu, et al. ∙
20
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Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Cancer diagnosis, prognosis and therapeutic response predictions are bas...
12/18/2019 ∙ by Richard J. Chen, et al. ∙
18
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Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos
The task of temporally grounding textual queries in videos is to localiz...
03/16/2020 ∙ by Yijun Song, et al. ∙
8
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Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning
Dense video captioning is a newly emerging task that aims at both locali...
03/31/2018 ∙ by Jingwen Wang, et al. ∙
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Non-local NetVLAD Encoding for Video Classification
This paper describes our solution for the 2^nd YouTube-8M video understa...
09/29/2018 ∙ by Yongyi Tang, et al. ∙
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An alarm prediction framework for financial IT system using hybrid machine learning methods
Informatization grows rapidly in all walks of life, going with the enhan...
07/30/2019 ∙ by Jingwen Wang, et al. ∙
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Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network
In this paper, we propose to guide the video caption generation with Par...
08/27/2019 ∙ by Bairui Wang, et al. ∙
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Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction
The task of temporally grounding language queries in videos is to tempor...
09/11/2019 ∙ by Jingwen Wang, et al. ∙
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Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
Temporal sentence grounding in videos aims to detect and localize one ta...
10/31/2019 ∙ by Yitian Yuan, et al. ∙
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STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
Effective and Efficient spatio-temporal modeling is essential for action...
03/18/2020 ∙ by Xu Li, et al. ∙
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