Search Results for author: Shikun Huang

Found 5 papers, 4 papers with code

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving

1 code implementation2 Aug 2023 Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu

Building a multi-modality multi-task neural network toward accurate and robust performance is a de-facto standard in perception task of autonomous driving.

Autonomous Driving

A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification

no code implementations28 Mar 2022 Sairamvinay Vijayaraghavan, David Haddad, Shikun Huang, Seongwoo Choi

In this paper, we have also established that without additional layers before the output classification, the CNN models will improve the performance of predicting the disease labels for each patient.

Interpretable Compositional Convolutional Neural Networks

1 code implementation9 Jul 2021 Wen Shen, Zhihua Wei, Shikun Huang, BinBin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang

The reasonable definition of semantic interpretability presents the core challenge in explainable AI.

3D-Rotation-Equivariant Quaternion Neural Networks

1 code implementation ECCV 2020 Wen Shen, BinBin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang

This paper proposes a set of rules to revise various neural networks for 3D point cloud processing to rotation-equivariant quaternion neural networks (REQNNs).

Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing

1 code implementation CVPR 2021 Wen Shen, Zhihua Wei, Shikun Huang, BinBin Zhang, Panyue Chen, Ping Zhao, Quanshi Zhang

In this paper, we diagnose deep neural networks for 3D point cloud processing to explore utilities of different intermediate-layer network architectures.

Adversarial Robustness

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