2 papers
cs.AI2026
SyncLipMAE: Contrastive Masked Pretraining for Audio-Visual Talking-Face Representation
Zeyu Ling, Xiaodong Gu, Jiangnan Tang +1
We introduce SyncLipMAE, a self-supervised pretraining framework for talking-face video that learns synchronization-aware and transferable facial dynamics from unlabeled audio-visu…
cs.SE2024
LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues
Yalan Lin, Yingwei Ma, Rongyu Cao +4
Reproducing buggy code is the first and crucially important step in issue resolving, as it aids in identifying the underlying problems and validating that generated patches resolve…