Noisy labels are commonly found in real-world data, which cause performa...
A new unified video analytics framework (ER3) is proposed for complex ev...
The existence of noisy labels in real-world data negatively impacts the
...
Temporal consistency is crucial for extending image processing pipelines...
Face restoration is an inherently ill-posed problem, where additional pr...
Human pose transfer (HPT) is an emerging research topic with huge potent...
The ability to produce convincing textural details is essential for the
...
For visual-semantic embedding, the existing methods normally treat the
r...
Recurrent neural networks (RNNs) are capable of modeling temporal
depend...
Video contents have become a critical tool for promoting products in
E-c...
Recurrent neural networks (RNNs) are capable of modeling the temporal
dy...
Event retrieval and recognition in a large corpus of videos necessitates...