Acknowledging the Unknown for Multi-label Learning with Single Positive Labels D Zhou, P Chen, Q Wang, G Chen, PA Heng ECCV 2022, 2022 | 36 | 2022 |
Deep Learning in Cell Image Analysis J Xu*, D Zhou*, D Deng, J Li, C Chen, X Liao, G Chen, PA Heng Intelligent Computing, 2022 | 18 | 2022 |
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction D Zhou, C Gu, J Xu, F Liu, Q Wang, G Chen, PA Heng CVPR 2023 (Highlight), 2023 | 5 | 2023 |
Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency T Wang, L Wang, X Zhang, C Shen, O Zhang, J Wang, J Wu, R Jin, ... Briefings in Bioinformatics, 2024 | 3 | 2024 |
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning H Chen, J Wang, Z Guo, J Li, D Zhou, B Wu, C Guan, G Chen, PA Heng BMVC 2024, 2024 | 2 | 2024 |
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images J Huang*, D Zhou*, S Chen IEEE Transactions on Information Forensics and Security (Conditionally Accepted), 2023 | 1 | 2023 |
Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoop T Wang, X Zhang, O Zhang, G Chen, P Pan, E Wang, J Wang, J Wu, ... Research, 2024 | | 2024 |
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding J Wang, Y Wang, Z Guo, R Zhang, D Zhou, G Chen, A Liu, PA Heng arXiv preprint arXiv:2405.18523, 2024 | | 2024 |
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes D Zhou, J Li, J Li, J Huang, Q Nie, Y Liu, BB Gao, Q Wang, PA Heng, ... BMVC 2024, 2023 | | 2023 |
DPPMask: Masked Image Modeling with Determinantal Point Processes J Xu, Z Lin, D Zhou, Y Yang, X Liao, Q Wang, B Wu, G Chen, P Heng WACV 2023, 2023 | | 2023 |