| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
IEEE Trans. Multim.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
J. Sci. Comput.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
IEEE Trans. Pattern Anal. Mach. Intell.
|
| 2025 | J | jnl |
IEEE Trans. Multim.
|
| 2025 | A* | conf |
ACM Multimedia
|
| 2025 | Misc | conf |
EPE-P: Evidence-based Parameter-efficient Prompting for Multimodal Learning with Missing Modalities.
ICASSP
|
| 2025 | A* | conf |
AAAI
|
| 2025 | J | jnl |
Knowl. Based Syst.
|
| 2025 | J | jnl |
IEEE Internet Things J.
|
| 2025 | A | conf |
ECAI
|
| 2025 | A* | conf |
ACM Multimedia
|
| 2025 | J | jnl |
IEEE Trans. Pattern Anal. Mach. Intell.
|
| 2025 | A* | conf |
ICML
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
MICCAI (7)
|
| 2025 | J | jnl |
IEEE Trans. Dependable Secur. Comput.
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
EPE-P: Evidence-based Parameter-efficient Prompting for Multimodal Learning with Missing Modalities.
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Vis. Intell.
|
| 2024 | A* | conf |
ACM Multimedia
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
IEEE Trans. Multim.
|
| 2024 | J | jnl |
Int. J. Comput. Vis.
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
IEEE Trans. Neural Networks Learn. Syst.
|
| 2023 | J | jnl |
CoRR
|
| 2023 | A* | conf |
ICCV
|
| 2023 | J | jnl |
CoRR
|
| 2023 | — | — |
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Int. J. Comput. Vis.
|
| 2023 | J | jnl |
CoRR
|
| 2023 | A* | conf |
ICCV
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
IEEE Trans. Multim.
|
| 2023 | J | jnl |
CoRR
|
| 2022 | J | jnl |
Pattern Recognit.
|
| 2022 | J | jnl |
CoRR
|
| 2021 | A* | conf |
ACM Multimedia
|
| 2021 | B | conf |
ICIP
|
| 2021 | A | conf |
BMVC
|
| 2018 | — | conf |
ICACI
|
| 2018 | B | conf |
IJCNN
|
| 2018 | J | jnl |
CoRR
|
| 2017 | — | conf |
End-to-End Visual Target Tracking in Multi-robot Systems Based on Deep Convolutional Neural Network.
ICCV Workshops
|