32 citations · 43 across the 10 of their papers we have counts for
5 papers · 1 filter
Per-Clip Video Object Segmentation
Kwanyong Park, Sanghyun Woo, Seoung Wug Oh +2
Recently, memory-based approaches show promising results on semi-supervised video object segmentation. These methods predict object masks frame-by-frame with the help of frequently…
One-Trimap Video Matting
Hongje Seong, Seoung Wug Oh, Brian Price +2
Recent studies made great progress in video matting by extending the success of trimap-based image matting to the video domain. In this paper, we push this task toward a more pract…
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing
Dawit Mureja Argaw, Fabian Caba Heilbron, Joon-Young Lee +2
Machine learning is transforming the video editing industry. Recent advances in computer vision have leveled-up video editing tasks such as intelligent reframing, rotoscoping, colo…
Action-Driven Object Detection with Top-Down Visual Attentions
Donggeun Yoo, Sunggyun Park, Kyunghyun Paeng +2
A dominant paradigm for deep learning based object detection relies on a "bottom-up" approach using "passive" scoring of class agnostic proposals. These approaches are efficient bu…
Fisher Kernel for Deep Neural Activations
Donggeun Yoo, Sunggyun Park, Joon-Young Lee +1
Compared to image representation based on low-level local descriptors, deep neural activations of Convolutional Neural Networks (CNNs) are richer in mid-level representation, but p…