Rethinking Attention-Model Explainability through Faithfulness Violation Test Y Liu, H Li, Y Guo, C Kong, J Li, S Wang International Conference on Machine Learning, 2022 | 48 | 2022 |
Quantifying and alleviating the language prior problem in visual question answering Y Guo, Z Cheng, L Nie, Y Liu, Y Wang, M Kankanhalli Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 46 | 2019 |
A unified end-to-end retriever-reader framework for knowledge-based vqa Y Guo, L Nie, Y Wong, Y Liu, Z Cheng, M Kankanhalli Proceedings of the 30th ACM International Conference on Multimedia, 2061-2069, 2022 | 43 | 2022 |
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach Y Liu, Y Guo, J Yin, X Song, W Liu, L Nie, M Zhang ACM Transactions on Multimedia Computing, Communications, and Applications, 2022 | 31 | 2022 |
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y Liu, CX Tian, H Li, L Ma, S Wang International Conference on Learning Representations (Spotlight), 2023 | 17 | 2023 |
M3fas: An accurate and robust multimodal mobile face anti-spoofing system C Kong, K Zheng, Y Liu, S Wang, A Rocha, H Li IEEE Transactions on Dependable and Secure Computing, 2023 | 14 | 2023 |
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning Y Liu, CX Tian, H Li, S Wang IEEE Transactions on Image Processing, 2024 | 1 | 2024 |