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20212023
most citedUnsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Unsupervised Domain Adaptation via Domain-Adaptive Diffusion

Duo Peng, Qiuhong Ke, Yinjie Lei +1

Unsupervised Domain Adaptation (UDA) is quite challenging due to the large distribution discrepancy between the source domain and the target domain. Inspired by diffusion models wh…

eess.IV20234 cited

Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

Xin Lin, Chao Ren, Xiao Liu +2

Deep learning methods have shown remarkable performance in image denoising, particularly when trained on large-scale paired datasets. However, acquiring such paired datasets for re…

cs.CL20221 cited

Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction

Yanjie Gou, Yinjie Lei, Lingqiao Liu +3

Aspect Sentiment Triplet Extraction (ASTE) aims to extract the spans of aspect, opinion, and their sentiment relations as sentiment triplets. Existing works usually formulate the s…

cs.CV2021

Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling

Lianjie Jia, Chenyang Yu, Xiehao Ye +3

Unsupervised person re-identification (Re-ID) attracts increasing attention due to its potential to resolve the scalability problem of supervised Re-ID models. Most existing unsupe…

cs.LG20211 cited

Overcome Anterograde Forgetting with Cycled Memory Networks

Jian Peng, Dingqi Ye, Bo Tang +3

Learning from a sequence of tasks for a lifetime is essential for an agent towards artificial general intelligence. This requires the agent to continuously learn and memorize new k…