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30 papers · 2 filters
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Chun Pong Lau, Jiang Liu, Hossein Souri +3
Adversarial training (AT) is considered to be one of the most reliable defenses against adversarial attacks. However, models trained with AT sacrifice standard accuracy and do not…
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
Yu Zeng, Zhe Lin, Vishal M. Patel
Sketch-based image manipulation is an interactive image editing task to modify an image based on input sketches from users. Existing methods typically formulate this task as a cond…
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh +1
Synthesizing dynamic appearances of humans in motion plays a central role in applications such as AR/VR and video editing. While many recent methods have been proposed to tackle th…
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective
Yuxi Li, Ning Xu, Wenjie Yang +2
Modern video object segmentation (VOS) algorithms have achieved remarkably high performance in a sequential processing order, while most of currently prevailing pipelines still sho…
STALP: Style Transfer with Auxiliary Limited Pairing
David Futschik, Michal Kučera, Michal Lukáč +3
We present an approach to example-based stylization of images that uses a single pair of a source image and its stylized counterpart. We demonstrate how to train an image translati…
HighlightMe: Detecting Highlights from Human-Centric Videos
Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli +2
We present a domain- and user-preference-agnostic approach to detect highlightable excerpts from human-centric videos. Our method works on the graph-based representation of multipl…