activity
20202024
most citedF2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation

2 citations · 3 across the 3 of their papers we have counts for

collaborators

6 papers

eess.IV20241 cited

DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading

Man M. Ho, Elham Ghelichkhan, Yosep Chong +3

Latent Diffusion Models (LDMs) can generate high-fidelity images from noise, offering a promising approach for augmenting histopathology images for training cancer grading models.…

eess.IV20242 cited

F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation

Man M. Ho, Shikha Dubey, Yosep Chong +2

The Frozen Section (FS) technique is a rapid and efficient method, taking only 15-30 minutes to prepare slides for pathologists' evaluation during surgery, enabling immediate decis…

cs.CV2022

Interactive Image Manipulation with Complex Text Instructions

Ryugo Morita, Zhiqiang Zhang, Man M. Ho +1

Recently, text-guided image manipulation has received increasing attention in the research field of multimedia processing and computer vision due to its high flexibility and contro…

cs.CV2021

Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning

Man M. Ho, Jinjia Zhou

Physical photographs now can be conveniently scanned by smartphones and stored forever as a digital version, yet the scanned photos are not restored well. One solution is to train…

cs.CV2020

Deep Preset: Blending and Retouching Photos with Color Style Transfer

Man M. Ho, Jinjia Zhou

End-users, without knowledge in photography, desire to beautify their photos to have a similar color style as a well-retouched reference. However, the definition of style in recent…

eess.IV2020

RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding

Man M. Ho, Jinjia Zhou, Gang He

Integrating deep learning techniques into the video coding framework gains significant improvement compared to the standard compression techniques, especially applying super-resolu…