3 accepted papers
Video stabilization is an essential component of visual quality enhancement. Early methods rely on feature tracking to recover either 2D or 3D frame motion, which suffer from the robustness of local feature extraction and tracking in shaky videos. Recently, learning-based methods seek to find frame…
Finding an effective way to represent human actions is yet an open problem because it usually requires taking evidences extracted from various temporal resolutions into account. A conventional way of representing an action employs temporally ordered fine-grained movements, e.g., key poses or subtle…
We present a scene adaptation algorithm for object detection. Our method discovers scene-dependent features discriminative to classifying foreground objects into different categories. Unlike previous works suffering from insufficient training data collected online, our approach incorporated with a s…