activity
20162023
most citedMnemonics Training: Multi-Class Incremental Learning without Forgetting

273 citations · 300 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 2 cited

Dynamic Causal Disentanglement Model for Dialogue Emotion Detection

Yuting Su, Yichen Wei, Weizhi Nie +2

Emotion detection is a critical technology extensively employed in diverse fields. While the incorporation of commonsense knowledge has proven beneficial for existing emotion detec…

cs.CV2023

T2IW: Joint Text to Image & Watermark Generation

An-An Liu, Guokai Zhang, Yuting Su +3

Recent developments in text-conditioned image generative models have revolutionized the production of realistic results. Unfortunately, this has also led to an increase in privacy…

cs.SI2023

MCDAN: a Multi-scale Context-enhanced Dynamic Attention Network for Diffusion Prediction

Xiaowen Wang, Lanjun Wang, Yuting Su +2

Information diffusion prediction aims at predicting the target users in the information diffusion path on social networks. Prior works mainly focus on the observed structure or seq…

cs.CV2023

StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning

Peiguang Jing, Xianyi Liu, Ji Wang +3

Emotion distribution learning has gained increasing attention with the tendency to express emotions through images. As for emotion ambiguity arising from humans' subjectivity, subs…

cs.CV2020

DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection

Jing Liu, Jiaxiang Wang, Weikang Wang +1

As moving objects always draw more attention of human eyes, the temporal motive information is always exploited complementarily with spatial information to detect salient objects i…

cs.CV2020★ 273 cited

Mnemonics Training: Multi-Class Incremental Learning without Forgetting

Yaoyao Liu, Yuting Su, An-An Liu +2

Multi-Class Incremental Learning (MCIL) aims to learn new concepts by incrementally updating a model trained on previous concepts. However, there is an inherent trade-off to effect…

cs.CV2016★ 25 cited

Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking

Wenhui Li, Yongkang Wong, An-An Liu +3

Action recognition has received increasing attention from the computer vision and machine learning communities in the last decade. To enable the study of this problem, there exist…