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Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedures
Purpose: Automatic segmentation and classification of surgical activity ...
02/24/2021 ∙ by Sanat Ramesh, et al. ∙
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Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval
This paper tackles a new problem in computer vision: mid-stream video-to...
09/30/2020 ∙ by Tong Yu, et al. ∙
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Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Recognition of surgical activity is an essential component to develop co...
07/10/2020 ∙ by Chinedu Innocent Nwoye, et al. ∙
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Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
We propose a novel framework for structured bandits, which we call an in...
07/09/2020 ∙ by Tong Yu, et al. ∙
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Reward Constrained Interactive Recommendation with Natural Language Feedback
Text-based interactive recommendation provides richer user feedback and ...
05/04/2020 ∙ by Ruiyi Zhang, et al. ∙
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Hyper-Parameter Optimization: A Review of Algorithms and Applications
Since deep neural networks were developed, they have made huge contribut...
03/12/2020 ∙ by Tong Yu, et al. ∙
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Figure Captioning with Reasoning and Sequence-Level Training
Figures, such as bar charts, pie charts, and line plots, are widely used...
06/07/2019 ∙ by Charles Chen, et al. ∙
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Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
We present a practical method for protecting data during the inference p...
12/07/2018 ∙ by Jianfeng Chi, et al. ∙
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Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition
Vision algorithms capable of interpreting scenes from a real-time video ...
11/30/2018 ∙ by Tong Yu, et al. ∙
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Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Deep neural networks, including recurrent networks, have been successful...
10/07/2018 ∙ by Ming Zeng, et al. ∙
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Semi-Supervised Convolutional Neural Networks for Human Activity Recognition
Labeled data used for training activity recognition classifiers are usua...
01/22/2018 ∙ by Ming Zeng, et al. ∙
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Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models
Dialog response selection is an important step towards natural response ...
11/22/2017 ∙ by Bing Liu, et al. ∙
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SpectralFPL: Online Spectral Learning for Single Topic Models
This paper studies how to efficiently learn an optimal latent variable m...
09/21/2017 ∙ by Tong Yu, et al. ∙
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