Yiming Cui

According to our database, Yiming Cui authored at least 36 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SAC-Net: Enhancing Spatiotemporal Aggregation in Cervical Histological Image Classification via Label-Efficient Weakly Supervised Learning.

Xiyue Wang, De Cai, Sen Yang, Yiming Cui, Junyou Zhu, Kanran Wang, Junhan Zhao

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Error-Robust and Label-Efficient Deep Learning for Understanding Tumor Microenvironment From Spatial Transcriptomics.

Jiake Leng, Yiyan Zhang, Xiang Liu, Yiming Cui, Junhan Zhao, Yongxin Ge

IEEE Trans. Circuits Syst. Video Technol., August, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

CoRR, 2024

SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving.

Yiming Cui, Cheng Han, Dongfang Liu

CoRR, 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?

Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ProMotion: Prototypes as Motion Learners.

Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation.

Yiming Cui, Cheng Han, Dongfang Liu

CoRR, 2023

ClusterFormer: Clustering As A Universal Visual Learner.

James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

CoRR, 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

CoRR, 2023

Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance.

Yiming Cui, Lecheng Ruan, Hang-Cheng Dong, Qiang Li, Zhongming Wu, Tieyong Zeng, Feng-Lei Fan

CoRR, 2023

FAQ: Feature Aggregated Queries for Transformer-based Video Object Detectors.

Yiming Cui, Linjie Yang

CoRR, 2023

One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks.

Feng-Lei Fan, Hang-Cheng Dong, Zhongming Wu, Lecheng Ruan, Tieyong Zeng, Yiming Cui, Jing-Xiao Liao

CoRR, 2023

ClusterFomer: Clustering As A Universal Visual Learner.

James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation.

Yiming Cui, Linjie Yang, Haichao Yu

Proceedings of the International Conference on Machine Learning, 2023

E²VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Feature Aggregated Queries for Transformer-Based Video Object Detectors.

Yiming Cui

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DFA: Dynamic Feature Aggregation for Efficient Video Object Detection.

Yiming Cui

CoRR, 2022

Dynamic Proposals for Efficient Object Detection.

Yiming Cui, Linjie Yang, Ding Liu

CoRR, 2022

PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study.

Weihuang Xu, Guohao Yu, Yiming Cui, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish Rajurkar, Diane Rowland, Roser Matamala, Julie D. Jastrow, Thomas E. Juenger, Felix B. Fritschi

CoRR, 2022

DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception.

Yiming Cui, Zhiwen Cao, Chloe Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

GL-RG: Global-Local Representation Granularity for Video Captioning.

Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Dynamic Feature Aggregation for Efficient Video Object Detection.

Yiming Cui

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Geometric attentional dynamic graph convolutional neural networks for point cloud analysis.

Yiming Cui, Xin Liu, Hongmin Liu, Jiyong Zhang, Alina Zare, Bin Fan

Neurocomputing, 2021

DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception.

Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu

CoRR, 2021

TF-Blender: Temporal Feature Blender for Video Object Detection.

Yiming Cui, Liqi Yan, Zhiwen Cao, Dongfang Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical Attention Fusion for Geo-Localization.

Liqi Yan, Yiming Cui, Yingjie Victor Chen, Dongfang Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation.

Dongfang Liu, Yiming Cui, Wenbo Tan, Yingjie Victor Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation.

Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Video object detection for autonomous driving: Motion-aid feature calibration.

Dongfang Liu, Yiming Cui, Yingjie Victor Chen, Jiyong Zhang, Bin Fan

Neurocomputing, 2020

Indoor Navigation for Mobile Agents: A Multimodal Vision Fusion Model.

Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions.

Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze.

Dongfang Liu, Yiming Cui, Xiaolei Guo, Wei Ding, Baijian Yang, Yingjie Victor Chen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2016

Multiclassification method for hyperspectral data based on Chernoff distance and pairwise decision tree strategy.

Miao Zhang, Zheqi Lin, Yiming Cui, Fei Shen, Yi Shen

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Manifold learning based supervised hyperspectral data classification method using class encoding.

Miao Zhang, Wei Guo, Yiming Cui, Fei Shen, Yi Shen

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Electric differential control for electric vehicles based on EMD method.

Yiming Cui, Yi Shen, Xin Zhang, Yan Wang, Miao Zhang

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016