activity
20212023
most citedWeakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching

3 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Progressive Conservative Adaptation for Evolving Target Domains

Gangming Zhao, Chaoqi Chen, Wenhao He +5

Conventional domain adaptation typically transfers knowledge from a source domain to a stationary target domain. However, in many real-world cases, target data usually emerge seque…

cs.MM20232 cited

WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning

Dongjian Huo, Zehong Zhang, Hanjing Su +3

Watermarking serves as a widely adopted approach to safeguard media copyright. In parallel, the research focus has extended to watermark removal techniques, offering an adversarial…

cs.CV20231 cited

Identity-Preserving Talking Face Generation with Landmark and Appearance Priors

Weizhi Zhong, Chaowei Fang, Yinqi Cai +4

Generating talking face videos from audio attracts lots of research interest. A few person-specific methods can generate vivid videos but require the target speaker's videos for tr…

cs.CV20231 cited

Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics

Chaowei Fang, Dingwen Zhang, Wen Zheng +4

Recently, long-tailed image classification harvests lots of research attention, since the data distribution is long-tailed in many real-world situations. Piles of algorithms are de…

eess.IV20221 cited

Deep 3D Vessel Segmentation based on Cross Transformer Network

Chengwei Pan, Baolian Qi, Gangming Zhao +4

The coronary microvascular disease poses a great threat to human health. Computer-aided analysis/diagnosis systems help physicians intervene in the disease at early stages, where 3…

cs.CV2022

Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

Chengwei Pan, Gangming Zhao, Junjie Fang +6

Although deep learning algorithms have been intensively developed for computer-aided tuberculosis diagnosis (CTD), they mainly depend on carefully annotated datasets, leading to mu…