diff --git a/_bibliography/papers.bib b/_bibliography/papers.bib index d156473..044d511 100644 --- a/_bibliography/papers.bib +++ b/_bibliography/papers.bib @@ -100,17 +100,6 @@ @article{yu2026edgenerf pdf={EdgeNeRF.pdf} } -@article{lv2024emn, - title={EMN: Brain-inspired Elastic Memory Network for Quick Domain Adaptive Feature Mapping}, - author={Lv, Jianming and Wang, Chengjun and Liang, Depin and Ma, Qianli and Chen, Wei and Cheng, Xueqi}, - journal={arXiv preprint arXiv:2402.14598}, - year={2024}, - bibtex_show={false}, - selected={true}, - preview={EMN.png}, - pdf={EMN.pdf} -} - @article{lv2024easyfs, title={EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features}, author={Lv, Jianming and Xia, Sijun and Liang, Depin and Chen, Wei}, @@ -165,6 +154,43 @@ @article{lv2023adaptive pdf={AdaptiveMultivariate Time-Series AnomalyDetection.pdf} } +@article{yao2026aspectclip, + title={AspectCLIP: Optimizing CLIP Representation Space via Aspect-Guided Consistency Regularization}, + author={Yao, Yiyang and Liu, Shanglin and Lv, Jianming and Wang, Chengjun and Li, Jinyi and Jie, Yuchan and Jin, Zhihua}, + journal={The 9th Chinese Conference on Pattern Recognition and Computer Vision}, + year={2026}, + month={Aug}, + bibtex_show={false}, + selected={true}, + preview={AspectCLIP.jpg}, + pdf={AspectCLIP.pdf} +} + +@inproceedings{lv2026memflow, + title={MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping}, + author={Lv, Jianming and Wang, Chengjun and Liang, Depin and Ma, Qianli and Chen, Wei and Cheng, Xueqi}, + booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, + pages={36968--36977}, + year={2026}, + month={Jun}, + bibtex_show={false}, + selected={true}, + preview={MemFlow.jpg}, + pdf={MemFlow.pdf} +} + +@article{yao2026mp3, + title={MP3: Mining Pure Pivot Patches for Robust Real-World Single Image Defocus Deblurring}, + author={Yao, Xin and He, Xuyi and Lv, Jianming}, + journal={IEEE International Conference on Multimedia and Expo (ICME)}, + year={2026}, + month={Jul}, + bibtex_show={false}, + selected={true}, + preview={MP3.png}, + pdf={MP3.pdf} +} + article{PhysRev.47.777, 使用示例： preview 加入预览的图片，预览的图片放在 `assets/img/publication_preview/` 目录下 diff --git a/_projects/LvJianming.md b/_projects/LvJianming.md index d0042d7..fa42372 100644 --- a/_projects/LvJianming.md +++ b/_projects/LvJianming.md @@ -45,22 +45,25 @@ related_publications: false

代表性论文

- [1] Zequan Liang, Hao Luo,Xi Chen,Zhipeng Zhong,Cheng Fan, Xingrong Song, Bilian Li, Jianming Lv*. A Multi-Modal Multi-Expert Framework for Pain Assessment in Postoperative Children. IEEE Transactions on Affective Computing. doi: 10.1109/TAFFC.2025.3567307. 2025. + [1] Jianming Lv*, Chengjun Wang, Depin Liang, Qianli Ma, Wei Chen, Xueqi Cheng. MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping. Proceedings of the Computer Vision and Pattern Recognition Conference, 2026: 36968-36977. (CCF A)
- [2] Shanglin Liu, Jianming Lv*, Jingdan Kang, Huaidong Zhang, Zequan Liang, Shengfeng He. MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining. Proceedings of the Computer Vision and Pattern Recognition Conference, 2025: 5092-5101. (CCF A) + [2] Zequan Liang, Hao Luo,Xi Chen,Zhipeng Zhong,Cheng Fan, Xingrong Song, Bilian Li, Jianming Lv*. A Multi-Modal Multi-Expert Framework for Pain Assessment in Postoperative Children. IEEE Transactions on Affective Computing. doi: 10.1109/TAFFC.2025.3567307. 2025.
- [3] Jianming Lv*, Chujie Chen, Zequan Liang. Automated Scoring of Asynchronous Interview Videos Based on Multi-Modal Window-Consistency Fusion. IEEE Transactions on Affective Computing., 15(3): 799-814 (2024). + [3] Shanglin Liu, Jianming Lv*, Jingdan Kang, Huaidong Zhang, Zequan Liang, Shengfeng He. MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining. Proceedings of the Computer Vision and Pattern Recognition Conference, 2025: 5092-5101. (CCF A)
- [4] Jianming Lv*, Kaijie Liu, Shengfeng He. Differentiated Learning for Multi-Modal Domain Adaptation. ACM Multimedia 2021. (Oral paper, 9.2% accept rate) (CCF A) + [4] Jianming Lv*, Chujie Chen, Zequan Liang. Automated Scoring of Asynchronous Interview Videos Based on Multi-Modal Window-Consistency Fusion. IEEE Transactions on Affective Computing., 15(3): 799-814 (2024).
- [5] Zhenguo Yang, Qing Li, Liu Wenyin, Jianming Lv*. Shared Multi-view Data Representation for Multi-domain Event Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019. DOI: 10.1109/TPAMI.2019.2893953. + [5] Jianming Lv*, Kaijie Liu, Shengfeng He. Differentiated Learning for Multi-Modal Domain Adaptation. ACM Multimedia 2021. (Oral paper, 9.2% accept rate) (CCF A)
- [6] Jianming Lv, Weihang Chen, Qing Li, Can Yang. Unsupervised Cross-dataset person Re-identification by Transfer Learning of Spatial-temporal Patterns. CVPR 2018.(CCF A) + [6] Zhenguo Yang, Qing Li, Liu Wenyin, Jianming Lv*. Shared Multi-view Data Representation for Multi-domain Event Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2019. DOI: 10.1109/TPAMI.2019.2893953. +
+
+ [7] Jianming Lv, Weihang Chen, Qing Li, Can Yang. Unsupervised Cross-dataset person Re-identification by Transfer Learning of Spatial-temporal Patterns. CVPR 2018.(CCF A)

国家项目

diff --git a/_projects/WangChengjun.md b/_projects/WangChengjun.md index b81d66f..c0c95b3 100644 --- a/_projects/WangChengjun.md +++ b/_projects/WangChengjun.md @@ -33,9 +33,16 @@ related_publications: false

个人成果

- [1] Wang C, Peng J, Tao Z, et al. Uncertainty-guided Robust labels refinement for unsupervised person re-identification. Neural Comput & Applic 36, 977–991 (2024). - [2] Peng J, Yu J, Wang C, et al. Adapt only once: Fast unsupervised person re-identification via relevance-aware guidance Pattern Recognition 150, 110360 (2024). - [3] Zhang S, Wang C, Peng J. ABC-Learning: Attention-Boosted Contrastive Learning for unsupervised person re-identification Engineering Applications of Artificial Intelligence 133, 108344 (2024). + [1] Jianming Lv, Chengjun Wang, Depin Liang, Qianli Ma, Wei Chen, Xueqi Cheng. MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping. Proceedings of the Computer Vision and Pattern Recognition Conference, 2026: 36968-36977. +
+
+ [2] Wang C, Peng J, Tao Z, et al. Uncertainty-guided Robust labels refinement for unsupervised person re-identification. Neural Comput & Applic 36, 977–991 (2024). +
+
+ [3] Peng J, Yu J, Wang C, et al. Adapt only once: Fast unsupervised person re-identification via relevance-aware guidance Pattern Recognition 150, 110360 (2024). +
+
+ [4] Zhang S, Wang C, Peng J. ABC-Learning: Attention-Boosted Contrastive Learning for unsupervised person re-identification Engineering Applications of Artificial Intelligence 133, 108344 (2024).

学生风采

diff --git a/_projects/YaoYiyang.md b/_projects/YaoYiyang.md index 447ee1a..3a3acc7 100644 --- a/_projects/YaoYiyang.md +++ b/_projects/YaoYiyang.md @@ -33,10 +33,13 @@ related_publications: false

个人成果

- [1] Cheng C, Song G, Yao Y, Zhou Q, Zhang G, Wang H. Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting. In The Thirteenth International Conference on Learning Representations. (CCF A) + [1] Yao Y, Liu S, Lv J, Wang C, Li J, Jie Y, Jin Z. EdgeNeRF: Edge-Guided Regularization for Neural Radiance Fields from Sparse Views. In The 9th Chinese Conference on Pattern Recognition and Computer Vision. (CCF C)
- [2] Yu W, Yao Y, He L, Lv J. EdgeNeRF: Edge-Guided Regularization for Neural Radiance Fields from Sparse Views. In The Eighth Chinese Conference on Pattern Recognition and Computer Vision. (CCF C) + [2] Cheng C, Song G, Yao Y, Zhou Q, Zhang G, Wang H. Graph-Guided Scene Reconstruction from Images with 3D Gaussian Splatting. In The Thirteenth International Conference on Learning Representations. (CCF A) +
+
+ [3] Yu W, Yao Y, He L, Lv J. EdgeNeRF: Edge-Guided Regularization for Neural Radiance Fields from Sparse Views. In The Eighth Chinese Conference on Pattern Recognition and Computer Vision. (CCF C)

学生风采

diff --git a/assets/img/publication_preview/AspectCLIP.jpg b/assets/img/publication_preview/AspectCLIP.jpg new file mode 100644 index 0000000..2749b6f Binary files /dev/null and b/assets/img/publication_preview/AspectCLIP.jpg differ diff --git a/assets/img/publication_preview/MP3.png b/assets/img/publication_preview/MP3.png new file mode 100644 index 0000000..71b77c0 Binary files /dev/null and b/assets/img/publication_preview/MP3.png differ diff --git a/assets/img/publication_preview/MemFlow.jpg b/assets/img/publication_preview/MemFlow.jpg new file mode 100644 index 0000000..a3a0ea6 Binary files /dev/null and b/assets/img/publication_preview/MemFlow.jpg differ diff --git a/assets/pdf/AspectCLIP.pdf b/assets/pdf/AspectCLIP.pdf new file mode 100644 index 0000000..537c436 Binary files /dev/null and b/assets/pdf/AspectCLIP.pdf differ diff --git a/assets/pdf/MP3.pdf b/assets/pdf/MP3.pdf new file mode 100644 index 0000000..2a11c5c Binary files /dev/null and b/assets/pdf/MP3.pdf differ diff --git a/assets/pdf/MemFlow.pdf b/assets/pdf/MemFlow.pdf new file mode 100644 index 0000000..08b5a47 Binary files /dev/null and b/assets/pdf/MemFlow.pdf differ