Learning clip guided visual-text fusion transformer for video-based pedestrian attribute recognition J Zhu, J Jin, Z Yang, X Wu, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
Pedestrian attribute recognition via clip based prompt vision-language fusion X Wang, J Jin, C Li, J Tang, C Zhang, W Wang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 5 | 2024 |
Sequencepar: Understanding pedestrian attributes via a sequence generation paradigm J Jin, X Wang, C Li, L Huang, J Tang arXiv preprint arXiv:2312.01640, 2023 | 5 | 2023 |
Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models D Li, J Jin, Y Zhang, Y Zhong, Y Wu, L Chen, X Wang, B Luo arXiv preprint arXiv:2311.18592, 2023 | 3 | 2023 |
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition X Wang, Q Zhu, J Jin, J Zhu, F Wang, B Jiang, Y Wang, Y Tian arXiv preprint arXiv:2404.17929, 2024 | 2 | 2024 |
Pre-training on High Definition X-ray Images: An Experimental Study X Wang, Y Li, W Wu, J Jin, Y Rong, B Jiang, C Li, J Tang arXiv preprint arXiv:2404.17926, 2024 | 1 | 2024 |
Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework J Jin, X Wang, Q Zhu, H Wang, C Li arXiv preprint arXiv:2408.09720, 2024 | | 2024 |
An Empirical Study of Mamba-based Pedestrian Attribute Recognition X Wang, W Kong, J Jin, S Wang, R Gao, Q Ma, C Li, J Tang arXiv preprint arXiv:2407.10374, 2024 | | 2024 |