13 citations · 24 across the 6 of their papers we have counts for
6 papers
Perceptual Artifacts Localization for Image Synthesis Tasks
Lingzhi Zhang, Zhengjie Xu, Connelly Barnes +7
Recent advancements in deep generative models have facilitated the creation of photo-realistic images across various tasks. However, these generated images often exhibit perceptual…
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
Lingzhi Zhang, Shenghao Zhou, Simon Stent +1
Egocentric videos offer fine-grained information for high-fidelity modeling of human behaviors. Hands and interacting objects are one crucial aspect of understanding a viewer's beh…
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation
Lingzhi Zhang, Connelly Barnes, Kevin Wampler +4
Recently, deep models have established SOTA performance for low-resolution image inpainting, but they lack fidelity at resolutions associated with modern cameras such as 4K or more…
Perceptual Artifacts Localization for Inpainting
Lingzhi Zhang, Yuqian Zhou, Connelly Barnes +4
Image inpainting is an essential task for multiple practical applications like object removal and image editing. Deep GAN-based models greatly improve the inpainting performance in…
Social Behavior Prediction from First Person Videos
Shan Su, Jung Pyo Hong, Jianbo Shi +1
This paper presents a method to predict the future movements (location and gaze direction) of basketball players as a whole from their first person videos. The predicted behaviors…
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection
Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
Contour detection has been a fundamental component in many image segmentation and object detection systems. Most previous work utilizes low-level features such as texture or salien…