Wang, Limin
Nanjing University
10 papers on CoChatORCID 0000-0002-3674-7718
Most cited papers
- Verified
Action recognition with trajectory-pooled deep-convolutional descriptors
Wang, L., Qiao, Y., & Tang, X. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 1,194
- Verified
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Tong, Z., Song, Y., Wang, J., & Wang, L. (2022) · arXiv
Domain Adaptation and Few-Shot LearningHuman Pose and Action Recognition
Cited by 909
- Verified
Temporal Action Detection with Structured Segment Networks
Zhao, Y., Xiong, Y., Wang, L., Wu, Z., Tang, X., & Lin, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 892
- Verified
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Wang, L., Huang, B., Zhao, Z., Tong, Z., He, Y., Wang, Y., Wang, Y., & Qiao, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning
Cited by 536
- Verified
VBench: Comprehensive Benchmark Suite for Video Generative Models
Huang, Z., He, Y., Yu, J., Zhang, F., Si, C., Jiang, Y., Zhang, Y., Wu, T., Jin, Q., Chanpaisit, N., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 407
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SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
Liu, H., Teng, Y., Lu, T., Wang, H., & Wang, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 154
- Verified
Unmasked Teacher: Towards Training-Efficient Video Foundation Models
Li, K., Wang, Y., Li, Y., Wang, Y., He, Y., Wang, L., & Qiao, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition
Cited by 143
- Verified
Target Adaptive Context Aggregation for Video Scene Graph Generation
Teng, Y., Wang, L., Li, Z., & Wu, G. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition
Cited by 74
- Verified
RefineTAD: Learning Proposal-free Refinement for Temporal Action Detection
Feng, Y., Zhang, Z., Quan, R., Wang, L., & Qin, J. (2023) · Proceedings of the 31st ACM International Conference on Multimedia
Human Pose and Action RecognitionVideo Analysis and Summarization
Cited by 8
- Verified
Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline
Chen, G., Lu, L., Liu, Y., Dong, L., Zou, L., Lv, J., Li, Z., Mao, X., Pei, B., Wang, S., et al. (2026) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 0
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