301 citations · 482 across the 12 of their papers we have counts for
12 papers
Quality-aware Selective Fusion Network for V-D-T Salient Object Detection
Liuxin Bao, Xiaofei Zhou, Xiankai Lu +5
Depth images and thermal images contain the spatial geometry information and surface temperature information, which can act as complementary information for the RGB modality. Howev…
Gait Recognition in the Wild with Multi-hop Temporal Switch
Jinkai Zheng, Xinchen Liu, Xiaoyan Gu +5
Existing studies for gait recognition are dominated by in-the-lab scenarios. Since people live in real-world senses, gait recognition in the wild is a more practical problem that h…
A hybrid controller for safe and efficient collision avoidance control
Qiang Wang, Xinlei Zheng, Jiyong Zhang +1
We design and experimentally evaluate a hybrid safe-by-construction collision avoidance controller for autonomous vehicles. The controller combines into a single architecture the r…
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
Xin He, Shihao Wang, Xiaowen Chu +6
The COVID-19 pandemic has spread globally for several months. Because its transmissibility and high pathogenicity seriously threaten people's lives, it is crucial to accurately and…
TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition
Jinkai Zheng, Xinchen Liu, Chenggang Yan +4
Gait, i.e., the movement pattern of human limbs during locomotion, is a promising biometric for the identification of persons. Despite significant improvement in gait recognition w…
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification
Xin He, Guohao Ying, Jiyong Zhang +1
The COVID-19 pandemic has threatened global health. Many studies have applied deep convolutional neural networks (CNN) to recognize COVID-19 based on chest 3D computed tomography (…
AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text
Zhihong Shao, Zitao Liu, Jiyong Zhang +2
Adversarial examples are vital to expose the vulnerability of machine learning models. Despite the success of the most popular substitution-based methods which substitutes some cha…
Lane detection in complex scenes based on end-to-end neural network
Wenbo Liu, Fei Yan, Kuan Tang +2
The lane detection is a key problem to solve the division of derivable areas in unmanned driving, and the detection accuracy of lane lines plays an important role in the decision-m…
Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
Tingyu Wang, Zhedong Zheng, Chenggang Yan +4
Cross-view geo-localization is to spot images of the same geographic target from different platforms, e.g., drone-view cameras and satellites. It is challenging in the large visual…
Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units
Jiyong Zhang, Tao Deng, Fei Yan +1
Lane detection is one of the indispensable and key elements of self-driving environmental perception. Many lane detection models have been proposed, solving lane detection under ch…
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems
Fei Mi, Minlie Huang, Jiyong Zhang +1
Natural language generation (NLG) is an essential component of task-oriented dialogue systems. Despite the recent success of neural approaches for NLG, they are typically developed…
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
Bing Yu, Mengzhang Li, Jiyong Zhang +1
Spatio-temporal prediction plays an important role in many application areas especially in traffic domain. However, due to complicated spatio-temporal dependency and high non-linea…