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Zhaorui Gu

7 accepted papers

2021

Image Harmonization With Transformer

ICCV 2021poster

Image harmonization, aiming to make composite images look more realistic, is an important and challenging task. The composite, synthesized by combining foreground from one image with background from another image, inevitably suffers from the issue of inharmonious appearance caused by distinct imagin…

Cited by 91PDFcodeScholar
2021

Multi-Modal Multi-Action Video Recognition

ICCV 2021poster

Multi-action video recognition is much more challenging due to the requirement to recognize multiple actions co-occurring simultaneously or sequentially. Modeling multi-action relations is beneficial and crucial to understand videos with multiple actions, and actions in a video are usually presented…

Cited by 12PDFcodeScholar
2020

CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos

ECCV 2020poster

Modeling relations is crucial to understand videos for action and behavior recognition. Current relation models mainly reason about relations of invisibly implicit cues, while important relations of visually explicit cues are rarely considered, and the collaboration between them is usually ignored.…

2020

Spiral Generative Network for Image Extrapolation

ECCV 2020poster

In this paper, motivated by human natural ability to perceive unseen surroundings imaginatively, we propose a novel Spiral Generative Network, SpiralNet, to perform image extrapolation in a spiral manner, which regards extrapolation as an evolution process growing from an input sub-image along a spi…

2018

Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation

ECCV 2018poster

Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it's still very challenging for translation tasks that require high quality, especially at high-resolution and photorealism. In this paper, we present Discriminative Region Proposal…