Search Results for author: Ryan Szeto

Found 5 papers, 3 papers with code

The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting

1 code implementation CVPR 2022 Ryan Szeto, Jason J. Corso

Quantitative evaluation has increased dramatically among recent video inpainting work, but the video and mask content used to gauge performance has received relatively little attention.

Video Inpainting

HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks

no code implementations10 Dec 2019 Ryan Szeto, Mostafa El-Khamy, Jungwon Lee, Jason J. Corso

To combine the benefits of image and video models, we propose an image-to-video model transfer method called Hyperconsistency (HyperCon) that transforms any well-trained image model into a temporally consistent video model without fine-tuning.

Image-to-Image Translation Style Transfer +4

A Temporally-Aware Interpolation Network for Video Frame Inpainting

1 code implementation20 Mar 2018 Ximeng Sun, Ryan Szeto, Jason J. Corso

We propose the first deep learning solution to video frame inpainting, a challenging instance of the general video inpainting problem with applications in video editing, manipulation, and forensics.

Video Editing Video Inpainting +1

A Dataset To Evaluate The Representations Learned By Video Prediction Models

1 code implementation25 Feb 2018 Ryan Szeto, Simon Stent, German Ros, Jason J. Corso

We present a parameterized synthetic dataset called Moving Symbols to support the objective study of video prediction networks.

Video Prediction

Click Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation

no code implementations ICCV 2017 Ryan Szeto, Jason J. Corso

We motivate and address a human-in-the-loop variant of the monocular viewpoint estimation task in which the location and class of one semantic object keypoint is available at test time.

Viewpoint Estimation

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