| Facial expression recognition by de-expression residue learning H Yang, U Ciftci, L Yin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 473 | 2018 |
| Multimodal spontaneous emotion corpus for human behavior analysis Z Zhang, JM Girard, Y Wu, X Zhang, P Liu, U Ciftci, S Canavan, M Reale, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 428 | 2016 |
| Identity-adaptive facial expression recognition through expression regeneration using conditional generative adversarial networks H Yang, Z Zhang, L Yin 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 122 | 2018 |
| Exploiting semantic embedding and visual feature for facial action unit detection H Yang, L Yin, Y Zhou, J Gu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 57 | 2021 |
| CNN based 3D facial expression recognition using masking and landmark features H Yang, L Yin 2017 seventh international conference on affective computing and intelligent …, 2017 | 44 | 2017 |
| Multimodal learning for hateful memes detection Y Zhou, Z Chen, H Yang 2021 IEEE International conference on multimedia & expo workshops (ICMEW), 1-6, 2021 | 43 | 2021 |
| Adaptive multimodal fusion for facial action units recognition H Yang, T Wang, L Yin Proceedings of the 28th ACM International Conference on Multimedia, 2982-2990, 2020 | 28 | 2020 |
| An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis X Li, X Zhang, H Yang, W Duan, W Dai, L Yin 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 22 | 2020 |
| The 2nd 3D Face Alignment in the Wild Challenge (3DFAW-Video): Dense Reconstruction From Video. RK Pillai, LA Jeni, H Yang, Z Zhang, L Yin, JF Cohn ICCV Workshops 2 (6), 7, 2019 | 20 | 2019 |
| Learning temporal information from a single image for au detection H Yang, L Yin 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 20 | 2019 |
| Multi-modality empowered network for facial action unit detection P Liu, Z Zhang, H Yang, L Yin 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2175-2184, 2019 | 19 | 2019 |
| Re-net: A relation embedded deep model for au occurrence and intensity estimation H Yang, L Yin Proceedings of the Asian Conference on Computer Vision, 2020 | 12 | 2020 |
| Your “attention” deserves attention: A self-diversified multi-channel attention for facial action analysis X Li, Z Li, H Yang, G Zhao, L Yin 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 10 | 2021 |
| More to less (M2L): Enhanced health recognition in the wild with reduced modality of wearable sensors H Yang, H Yu, K Sridhar, T Vaessen, I Myin-Germeys, A Sano 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 7 | 2022 |
| Empirical evaluation of data augmentations for biobehavioral time series data with deep learning H Yang, H Yu, A Sano arXiv preprint arXiv:2210.06701, 2022 | 4 | 2022 |
| Multimodal channel-mixing: Channel and spatial masked autoencoder on facial action unit detection X Zhang, H Yang, T Wang, X Li, L Yin Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| Disagreement matters: Exploring internal diversification for redundant attention in generic facial action analysis X Li, Z Zhang, X Zhang, T Wang, Z Li, H Yang, U Ciftci, Q Ji, J Cohn, L Yin IEEE Transactions on Affective Computing, 2023 | 3 | 2023 |
| Set Operation Aided Network for Action Units Detection H Yang, T Wang, L Yin 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 3 | 2020 |
| LEAVES: Learning Views for Time-Series Data in Contrastive Learning H Yu, H Yang, A Sano arXiv preprint arXiv:2210.07340, 2022 | 2 | 2022 |
| Weakly-Supervised Text-Driven Contrastive Learning for Facial Behavior Understanding X Zhang, T Wang, X Li, H Yang, L Yin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
Lijun YinProfessor of Computer Science, Binghamton UniversityEmail verificata su cs.binghamton.edu
