Min Zhang

24 papers A* 1B 2C 3Misc 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Tiny Machine Learning Model for Point Cloud Object Classification.
CoRR
Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo
2023 Misc conf
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification.
ICASSP
Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo
2023 J jnl
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification.
CoRR
Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo
2022 A* conf
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network.
ACM Multimedia
Min Zhang, Zhihong Pan, Xin Zhou, C.-C. Jay Kuo
2022 J jnl
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network.
CoRR
Min Zhang, Zhihong Pan, Xin Zhou, C.-C. Jay Kuo
2022 J jnl
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds.
Pattern Recognit. Lett.
Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
2022 C conf
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method.
MMSP
Pranav Kadam, Min Zhang, Jiahao Gu, Shan Liu, C.-C. Jay Kuo
2022 — conf
NTIRE 2022 Image Inpainting Challenge: Report.
CVPR Workshops
Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang
2022 J jnl
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method.
IEEE Trans. Image Process.
Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo
2021 J jnl
GPCO: An Unsupervised Green Point Cloud Odometry Method.
CoRR
Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo
2021 J jnl
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds.
CoRR
Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
2021 J jnl
R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method.
CoRR
Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo
2020 J jnl
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification.
CoRR
Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
2020 J jnl
PointHop: An Explainable Machine Learning Method for Point Cloud Classification.
IEEE Trans. Multim.
Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
2020 B conf
Pointhop++: A Lightweight Learning Model on Point Sets for 3D Classification.
ICIP
Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
2020 C conf
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation.
VCIP
Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
2020 J jnl
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation.
CoRR
Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
2020 C conf
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA).
VCIP
Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo
2020 J jnl
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA).
CoRR
Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo
2019 J jnl
Interpretable convolutional neural networks via feedforward design.
J. Vis. Commun. Image Represent.
C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen
2019 J jnl
PointHop: An Explainable Machine Learning Method for Point Cloud Classification.
CoRR
Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
2019 B conf
Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks.
ICIP
Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
2019 J jnl
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks.
CoRR
Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
2018 J jnl
Interpretable Convolutional Neural Networks via Feedforward Design.
CoRR
C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen