Search Results for author: Shijie Li

Found 12 papers, 5 papers with code

Toward An Optimal Selection of Dialogue Strategies: A Target-Driven Approach for Intelligent Outbound Robots

no code implementations22 Jun 2022 Ruifeng Qian, Shijie Li, Mengjiao Bao, Huan Chen, Yu Che

With the growth of the economy and society, enterprises, especially in the FinTech industry, have increasing demands of outbound calls for customers such as debt collection, marketing, anti-fraud calls, and so on.

Marketing

Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization

1 code implementation9 Mar 2021 Shijie Li, Neel Dey, Katharina Bermond, Leon von der Emde, Christine A. Curcio, Thomas Ach, Guido Gerig

Annotation is a major hurdle in the semantic segmentation of microscopy images and volumes due to its prerequisite expertise and effort.

Semantic Segmentation

Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting

no code implementations ICCV 2021 Shijie Li, Yanying Zhou, Jinhui Yi, Juergen Gall

Trajectory forecasting is a crucial step for autonomous vehicles and mobile robots in order to navigate and interact safely.

Autonomous Vehicles Navigate +1

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform

2 code implementations20 Aug 2020 Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall

Real-time semantic segmentation of LiDAR data is crucial for autonomously driving vehicles, which are usually equipped with an embedded platform and have limited computational resources.

Autonomous Vehicles Real-Time 3D Semantic Segmentation +1

Rethinking 3D LiDAR Point Cloud Segmentation

1 code implementation10 Aug 2020 Shijie Li, Yun Liu, Juergen Gall

Many point-based semantic segmentation methods have been designed for indoor scenarios, but they struggle if they are applied to point clouds that are captured by a LiDAR sensor in an outdoor environment.

Autonomous Driving Point Cloud Segmentation +1

MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation

1 code implementation16 Jun 2020 Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall

Despite the capabilities of these approaches in capturing temporal dependencies, their predictions suffer from over-segmentation errors.

Action Segmentation

MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

1 code implementation21 Apr 2020 Yu Qiu, Yun Liu, Shijie Li, Jing Xu

On the other hand, fast training/testing and low computational cost are also necessary for quick deployment and development of COVID-19 screening systems, but traditional deep learning methods are usually computationally intensive.

COVID-19 Diagnosis Semantic Segmentation

Exploring Frame Segmentation Networks for Temporal Action Localization

no code implementations14 Feb 2019 Ke Yang, Xiaolong Shen, Peng Qiao, Shijie Li, Dongsheng Li, Yong Dou

The proposed FSN can make dense predictions at frame-level for a video clip using both spatial and temporal context information.

Temporal Action Localization

Joint Association Graph Screening and Decomposition for Large-scale Linear Dynamical Systems

no code implementations17 Nov 2014 Yiyuan She, Yuejia He, Shijie Li, Dapeng Wu

In particular, our method can pre-determine and remove unnecessary edges based on the joint graphical structure, referred to as JAG screening, and can decompose a large network into smaller subnetworks in a robust manner, referred to as JAG decomposition.

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