Search Results for author: Tianrui Liu

Found 8 papers, 1 papers with code

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net

no code implementations19 Jun 2021 Tianrui Liu, Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

Intelligent video summarization algorithms allow to quickly convey the most relevant information in videos through the identification of the most essential and explanatory content while removing redundant video frames.

Video Summarization

A framework for learned sparse sketches

no code implementations1 Jan 2021 Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David Woodruff

In this work, we consider the problem of optimizing sketches to obtain low approximation error over a data distribution.

Learning the Positions in CountSketch

no code implementations20 Jul 2020 Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff

Despite the growing body of work on this paradigm, a noticeable omission is that the locations of the non-zero entries of previous algorithms were fixed, and only their values were learned.

Ultrasound Video Summarization using Deep Reinforcement Learning

1 code implementation19 May 2020 Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz

We show that our method is superior to alternative video summarization methods and that it preserves essential information required by clinical diagnostic standards.

Video Summarization

Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling

no code implementations18 Dec 2019 Tianrui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang, Tania Stathaki, Tianhong Dai

Ablation studies have validated the effectiveness of both the proposed gated multi-layer feature extraction sub-network and the deformable occlusion handling sub-network.

Occlusion Handling Pedestrian Detection

Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection

no code implementations25 Oct 2019 Tianrui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki

In this paper, we propose a gated multi-layer convolutional feature extraction method which can adaptively generate discriminative features for candidate pedestrian regions.

Pedestrian Detection

SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection

no code implementations7 Aug 2018 Tianrui Liu, Mohamed Elmikaty, Tania Stathaki

Convolutional neural networks (CNN) have enabled significant improvements in pedestrian detection owing to the strong representation ability of the CNN features.

Pedestrian Detection Region Proposal

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