works on

From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.CV2026

VCP-DCN: Beyond Visual Concealed Property via Depth Collaborative Network for Camouflaged Object Detection

Songsong Duan, Xi Yang, Nannan Wang

The paper proposes VCP-DCN, a depth collaborative network that aligns, interacts, and fuses RGB and depth features to improve camouflaged object detection in complex scenes.

cs.LG2026

Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning

Lingfeng He, De Cheng, Huaijie Wang +3

Continual Learning (CL) requires models to sequentially adapt to new tasks without forgetting old knowledge. Recently, Low-Rank Adaptation (LoRA), a representative Parameter-Effici…

eess.IV2025

DermINO: Hybrid Pretraining for a Versatile Dermatology Foundation Model

Jingkai Xu, De Cheng, Xiangqian Zhao +27

Skin diseases impose a substantial burden on global healthcare systems, driven by their high prevalence (affecting up to 70% of the population), complex diagnostic processes, and a…

cs.CV2025

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning

De Cheng, Yue Lu, Lingfeng He +4

Continual Learning (CL) aims to equip AI models with the ability to learn a sequence of tasks over time, without forgetting previously learned knowledge. Recently, State Space Mode…

cs.CV2025

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding

Xingyilang Yin, Jiale Wang, Xi Yang +3

Recent open-vocabulary 3D scene understanding approaches mainly focus on training 3D networks through contrastive learning with point-text pairs or by distilling 2D features into 3…

cs.CV2025

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…