1 citations · 1 across the 7 of their papers we have counts for
9 papers
Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization
Zhipeng Xu, De Cheng, Xinyang Jiang +3
Single domain generalization (SDG) aims to learn a robust model, which could perform well on many unseen domains while there is only one single domain available for training. One o…
CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning
Lingfeng He, De Cheng, Zhiheng Ma +4
Continual Learning (CL) empowers AI models to continuously learn from sequential task streams. Recently, parameter-efficient fine-tuning (PEFT)-based CL methods have garnered incre…
Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization
De Cheng, Zhipeng Xu, Xinyang Jiang +3
Domain Generalization (DG) seeks to develop a versatile model capable of performing effectively on unseen target domains. Notably, recent advances in pre-trained Visual Foundation…
Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidance
Jiahua Xu, Dawei Zhou, Lei Hu +3
Multimodal medical images play a crucial role in the precise and comprehensive clinical diagnosis. Diffusion model is a powerful strategy to synthesize the required medical images.…
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization
Xi Yang, Songsong Duan, Nannan Wang +1
Weakly Supervised Object Localization (WSOL), which aims to localize objects by only using image-level labels, has attracted much attention because of its low annotation cost in re…
Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective
Songsong Duan, Xi Yang, Nannan Wang +1
Current RGB-D methods usually leverage large-scale backbones to improve accuracy but sacrifice efficiency. Meanwhile, several existing lightweight methods are difficult to achieve…
StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning
Huaijie Wang, De Cheng, Guozhang Li +5
Video Class-Incremental Learning (VCIL) seeks to develop models that continuously learn new action categories over time without forgetting previously acquired knowledge. Unlike tra…
CSHNet: A Novel Information Asymmetric Image Translation Method
Xi Yang, Haoyuan Shi, Zihan Wang +2
Despite advancements in cross-domain image translation, challenges persist in asymmetric tasks such as SAR-to-Optical and Sketch-to-Instance conversions, which involve transforming…
Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation
Hangyu Li, Yihan Xu, Jiangchao Yao +3
Existing facial expression recognition (FER) methods typically fine-tune a pre-trained visual encoder using discrete labels. However, this form of supervision limits to specify the…