activity
20202023
most citedNTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

23 citations · 88 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2023★ 2 cited

Ranking-aware Uncertainty for Text-guided Image Retrieval

Junyang Chen, Hanjiang Lai

Text-guided image retrieval is to incorporate conditional text to better capture users' intent. Traditionally, the existing methods focus on minimizing the embedding distances betw…

cs.CV2023★ 3 cited

Open-World Pose Transfer via Sequential Test-Time Adaption

Junyang Chen, Xiaoyu Xian, Zhijing Yang +5

Pose transfer aims to transfer a given person into a specified posture, has recently attracted considerable attention. A typical pose transfer framework usually employs representat…

cs.CV2023★ 2 cited

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup

Zhijing Yang, Junyang Chen, Yukai Shi +3

Image Virtual try-on aims at replacing the cloth on a personal image with a garment image (in-shop clothes), which has attracted increasing attention from the multimedia and comput…

cs.AI2022★ 1 cited

Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty

Wenting Xu, Zhenghua Xu, Junyang Chen +2

To reduce doctors' workload, deep-learning-based automatic medical report generation has recently attracted more and more research efforts, where deep convolutional neural networks…

cs.CV2022★ 22 cited

DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer

Hao Li, Zhijing Yang, Xiaobin Hong +4

Real-world image denoising is a practical image restoration problem that aims to obtain clean images from in-the-wild noisy inputs. Recently, the Vision Transformer (ViT) has exhib…

cs.LG2021★ 8 cited

A Unified Joint Maximum Mean Discrepancy for Domain Adaptation

Wei Wang, Baopu Li, Shuhui Yang +6

Domain adaptation has received a lot of attention in recent years, and many algorithms have been proposed with impressive progress. However, it is still not fully explored concerni…