activity
20202022
most citedMulti-modal Cooking Workflow Construction for Food Recipes

20 citations · 23 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20221 cited

Generative Model Watermarking Based on Human Visual System

Li Zhang, Yong Liu, Shaoteng Liu +4

Intellectual property protection of deep neural networks is receiving attention from more and more researchers, and the latest research applies model watermarking to generative mod…

cs.MM20221 cited

Blind Robust VideoWatermarking Based on Adaptive Region Selection and Channel Reference

Qinwei Chang, Leichao Huang, Shaoteng Liu +3

Digital watermarking technology has a wide range of applications in video distribution and copyright protection due to its excellent invisibility and convenient traceability. This…

cs.CV2021

On-target Adaptation

Dequan Wang, Shaoteng Liu, Sayna Ebrahimi +2

Domain adaptation seeks to mitigate the shift between training on the \emph{source} domain and testing on the \emph{target} domain. Most adaptation methods rely on the source data…

cs.CL202020 cited

Multi-modal Cooking Workflow Construction for Food Recipes

Liangming Pan, Jingjing Chen, Jianlong Wu +5

Understanding food recipe requires anticipating the implicit causal effects of cooking actions, such that the recipe can be converted into a graph describing the temporal workflow…

cs.CV20201 cited

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy

Shaoteng Liu, Lijun Gong, Kai Ma +1

The automatic grading of diabetic retinopathy (DR) facilitates medical diagnosis for both patients and physicians. Existing researches formulate DR grading as an image classificati…

cs.LG2020

Tent: Fully Test-time Adaptation by Entropy Minimization

Dequan Wang, Evan Shelhamer, Shaoteng Liu +2

A model must adapt itself to generalize to new and different data during testing. In this setting of fully test-time adaptation the model has only the test data and its own paramet…