Kaidong Li

29 papers A* 4A 1B 1Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning and machine learning methods based on the NIRS dataset for rapid determination of the nutrients content and quality of oat hay.
Comput. Electron. Agric.
Li Wang, Tao Wang, Luming Dai, Fei Li, Tao Guo, Fadi Li, Zhiyuan Ma, Kaidong Li, Hui Xu, Maimaiti Reshalaitihan
2025 — conf
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector.
CVPR Workshops
Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng, Guanghui Wang
2025 J jnl
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector.
CoRR
Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng, Guanghui Wang
2025 J jnl
Robust 3D point clouds classification based on declarative defenders.
Neural Comput. Appl.
Kaidong Li, Tianxiao Zhang, Cuncong Zhong, Ziming Zhang, Guanghui Wang
2024 J jnl
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields.
CoRR
Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2024 J jnl
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields.
J. Imaging
Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2024 J jnl
Robust 3D Point Clouds Classification based on Declarative Defenders.
CoRR
Kaidong Li, Tianxiao Zhang, Cuncong Zhong, Ziming Zhang, Guanghui Wang
2024 J jnl
Robust Structured Declarative Classifiers for Point Clouds.
World Sci. Annu. Rev. Artif. Intell.
Ziming Zhang, Kaidong Li, Guanghui Wang
2023 J jnl
A New Dataset and Comparative Study for Aphid Cluster Detection.
CoRR
Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2023 A conf
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets.
WACV
Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang
2023 J jnl
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models.
CoRR
Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2023 A* conf
Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation.
ACM Multimedia
Zihao Wu, Xin Wang, Hong Chen, Kaidong Li, Yi Han, Lifeng Sun, Wenwu Zhu
2023 A* conf
H2V4Sports: Real-Time Horizontal-to-Vertical Video Converter for Sports Lives via Fast Object Detection and Tracking.
ACM Multimedia
Yi Han, Kaidong Li, Zihan Song, Wei Feng, Xiang Cao, Shida Guo, Xin Wang, Xuguang Duan, Wenwu Zhu
2023 — conf
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild.
CVPR Workshops
Raiyan Rahman, Christopher Indris, Tianxiao Zhang, Kaidong Li, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2023 J jnl
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild.
CoRR
Raiyan Rahman, Christopher Indris, Tianxiao Zhang, Kaidong Li, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2022 J jnl
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets.
CoRR
Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang
2022 A* conf
Dilated Continuous Random Field for Semantic Segmentation.
ICRA
Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li, Usman Sajid
2022 J jnl
Dilated Continuous Random Field for Semantic Segmentation.
CoRR
Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li, Usman Sajid
2022 A* conf
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients.
CVPR
Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang
2022 J jnl
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients.
CoRR
Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang
2021 J jnl
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations.
CoRR
Kaidong Li, Mohammad I. Fathan, Krushi Patel, Tianxiao Zhang, Cuncong Zhong, Ajay Bansal, Amit Rastogi, Jean S. Wang, Guanghui Wang
2021 — conf
SGNet: A Super-class Guided Network for Image Classification and Object Detection.
CRV
Kaidong Li, Nina Y. Wang, Yiju Yang, Guanghui Wang
2021 J jnl
SGNet: A Super-class Guided Network for Image Classification and Object Detection.
CoRR
Kaidong Li, Nina Y. Wang, Yiju Yang, Guanghui Wang
2020 J jnl
A Comparative Study on Polyp Classification using Convolutional Neural Networks.
CoRR
Krushi Patel, Kaidong Li, Ke Tao, Quan Wang, Ajay Bansal, Amit Rastogi, Guanghui Wang
2020 J jnl
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection.
IEEE Access
Wenchi Ma, Kaidong Li, Guanghui Wang
2020 J jnl
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection.
CoRR
Wenchi Ma, Kaidong Li, Guanghui Wang
2020 B conf
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling.
ICTAI
Wenchi Ma, Miao Yu, Kaidong Li, Guanghui Wang
2020 J jnl
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling.
CoRR
Wenchi Ma, Miao Yu, Kaidong Li, Guanghui Wang
2019 J jnl
Object Detection with Convolutional Neural Networks.
CoRR
Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, Guanghui Wang