activity
20212024
most citedSemi-Supervised Semantic Segmentation via Gentle Teaching Assistant

32 citations · 54 across the 8 of their papers we have counts for

collaborators

5 papers

cs.CY202314 cited

From Plate to Production: Artificial Intelligence in Modern Consumer-Driven Food Systems

Weiqing Min, Pengfei Zhou, Leyi Xu +8

Global food systems confront the urgent challenge of supplying sustainable, nutritious diets in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringi…

stat.AP2023

Diagnosing the role of observable distribution shift in scientific replications

Ying Jin, Kevin Guo, Dominik Rothenhäusler

Many researchers have identified distribution shift as a likely contributor to the reproducibility crisis in behavioral and biomedical sciences. The idea is that if treatment effec…

cs.CV202332 cited

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

Ying Jin, Jiaqi Wang, Dahua Lin

Semi-Supervised Semantic Segmentation aims at training the segmentation model with limited labeled data and a large amount of unlabeled data. To effectively leverage the unlabeled…

cs.CV20212 cited

The Overlooked Classifier in Human-Object Interaction Recognition

Ying Jin, Yinpeng Chen, Lijuan Wang +5

Human-Object Interaction (HOI) recognition is challenging due to two factors: (1) significant imbalance across classes and (2) requiring multiple labels per image. This paper shows…

cs.CV20215 cited

Improving Vision Transformers for Incremental Learning

Pei Yu, Yinpeng Chen, Ying Jin +1

This paper proposes a working recipe of using Vision Transformer (ViT) in class incremental learning. Although this recipe only combines existing techniques, developing the combina…