activity
20172022
most citedDeep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data

51 citations · 75 across the 8 of their papers we have counts for

collaborators

8 papers

cs.NI2022★ 1 cited

A Secure Dynamic Edge Resource Federation Architecture for Cross-Domain IoT Systems

Ronghua Xu, Yu Chen, Xiaohua Li +1

The fast integration of 5G communication, Artificial Intelligence (AI), and Internet-of-Things (IoT) technologies is envisioned to enable Next Generation Networks (NGNs) for divers…

cs.CR2022

Boundary Defense Against Black-box Adversarial Attacks

Manjushree B. Aithal, Xiaohua Li

Black-box adversarial attacks generate adversarial samples via iterative optimizations using repeated queries. Defending deep neural networks against such attacks has been challeng…

cs.CR2021

Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation

Manjushree B. Aithal, Xiaohua Li

In black-box adversarial attacks, adversaries query the deep neural network (DNN), use the output to reconstruct gradients, and then optimize the adversarial inputs iteratively. In…

cs.CV2021★ 8 cited

A Spike Learning System for Event-driven Object Recognition

Shibo Zhou, Wei Wang, Xiaohua Li +1

Event-driven sensors such as LiDAR and dynamic vision sensor (DVS) have found increased attention in high-resolution and high-speed applications. A lot of work has been conducted t…

cs.CV2020★ 11 cited

Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving

Wei Wang, Shibo Zhou, Jingxi Li +3

Accurate real-time object recognition from sensory data has long been a crucial and challenging task for autonomous driving. Even though deep neural networks (DNNs) have been succe…

cs.CV2019★ 51 cited

Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data

Shibo Zhou, Ying Chen, Xiaohua Li +1

Real-time accurate detection of three-dimensional (3D) objects is a fundamental necessity for self-driving vehicles. Most existing computer vision approaches are based on convoluti…

cs.CV2019★ 1 cited

Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding

Jian Zheng, Sudha Krishnamurthy, Ruxin Chen +3

Image captioning has attracted considerable attention in recent years. However, little work has been done for game image captioning which has some unique characteristics and requir…

cs.NI2017★ 3 cited

Who is Smarter? Intelligence Measure of Learning-based Cognitive Radios

Monireh Dabaghchian, Amir Alipour-Fanid, Songsong Liu +3

Cognitive radio (CR) is considered as a key enabling technology for dynamic spectrum access to improve spectrum efficiency. Although the CR concept was invented with the core idea…