Jachin Zheng (jianqingzheng)

jianqingzheng

User data from Github https://github.com/jianqingzheng

Company:University of Oxford

Home Page:https://jianqingzheng.github.io/

GitHub:@jianqingzheng

Jachin Zheng's repositories

res_aligner_net

[Medical Image Analysis] Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration

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XBCR-net

[Cell Research] Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant

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path_planning_for_FEVAR

[ICRA 2019] Towards 3d path planning from a single 2d fluoroscopic image for robot assisted fenestrated endovascular aortic repair

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def_diff_rec

[Preprint] Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis

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image_processing

Image processing tool implement via matlab

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jianqingzheng.github.io

jianqingzheng.github.io

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M3Depth

Code for Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency (MICCAI 2022)

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alphafold

Open source code for AlphaFold.

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jianqingzheng0.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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rayeren.github.io

My personal homepage

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Tune-A-Video

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

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antiberta

Public repository describing training and testing of AntiBERTa.

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irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

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label-reg

(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"

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acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

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awesome-image-registration

image registration related books, papers, videos, and toolboxes

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SL-Decoder

This is the code for the application of our structured lighting system. We provide with structured lighting patterns and the decoder, for recovering the scene depth. In some cases, this depth is treated as depth ground truth.

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