Search Results for author:
Found 16 papers, 8 papers with code
Spiral Generative Network for Image Extrapolation
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 spiral curve to an expanded full image.
CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos
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.
The low-entropy hydration shell at the binding site of spike RBD determines the contagiousness of SARS-CoV-2 variants
The low-entropy level of hydration shells at the binding site of a spike protein is found to be an important indicator of the contagiousness of the coronavirus.
Space Layout of Low-entropy Hydration Shells Guides Protein Binding
According to an analysis of determined protein complex structures, shape matching between the largest low-entropy hydration shell region of a protein and that of its partner at the binding sites is revealed as a regular pattern.
Intrinsic Image Harmonization
Specifically, we harmonize reflectance through material-consistency penalty, while harmonize illumination by learning and transferring light from background to foreground, moreover, we model patch relations between foreground and background of composite images in an inharmony-free learning way, to adaptively guide our intrinsic image harmonization.
Ranked #7 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
Hydrophobic interaction determines docking affinity of SARS CoV 2 variants with antibodies
Preliminary epidemiologic, phylogenetic and clinical findings suggest that several novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have increased transmissibility and decreased efficacy of several existing vaccines.
Image Harmonization With Transformer
Current solutions mainly adopt an encoder-decoder architecture with convolutional neural network (CNN) to capture the context of composite images, trying to understand what it looks like in the surrounding background near the foreground.
Ranked #11 on
Image Harmonization
on iHarmony4
Painting From Part
This paper studies the problem of painting the whole image from part of it, namely painting from part or part-painting for short, involving both inpainting and outpainting.
Multi-Modal Multi-Action Video Recognition
In this paper, we propose a novel multi-action relation model for videos, by leveraging both relational graph convolutional networks (GCNs) and video multi-modality.
The role of hydrophobic interactions in folding of $β$-sheets
Exploring the protein-folding problem has been a long-standing challenge in molecular biology.
A hydrophobic-interaction-based mechanism trigger docking between the SARS CoV 2 spike and angiotensin-converting enzyme 2
The hydrophobic interaction between the SARS-CoV-2 S and ACE2 protein is found to be significantly greater than that between SARS-CoV S and ACE2.
Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation
Current approaches have made great progress on image-to-image translation tasks benefiting from the success of image synthesis methods especially generative adversarial networks (GANs).
Generative Adversarial Network
Image-to-Image Translation
+1
Peeking the Impact of Points of Interests on Didi
Recently, the online car-hailing service, Didi, has emerged as a leader in the sharing economy.
Instance Map based Image Synthesis with a Denoising Generative Adversarial Network
Semantic layouts based Image synthesizing, which has benefited from the success of Generative Adversarial Network (GAN), has drawn much attention in these days.
Unpaired Photo-to-Caricature Translation on Faces in the Wild
We present an approach for learning to translate faces in the wild from the source photo domain to the target caricature domain with different styles, which can also be used for other high-level image-to-image translation tasks.
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs).
