activity
20232026
most citedTowards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning

38 citations · 38 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Dual-Mode Low-Rank Learner with Bridge-Prototype Ensemble for Vision-Language Class-Incremental Learning

Chiyuan He, Zihuan Qiu, Fanman Meng +5

Benefiting from transferable visual-textual alignment, CLIP has been widely adopted for class-incremental learning (CIL). However, existing learners either repeatedly update compon…

cs.LG2026

SAFE-Merge: Data-Free Continual Model Merging with General Knowledge Preservation

Zihuan Qiu, Zhiyang Liao, Chiyuan He +5

Data-free continual model merging must incorporate a stream of specialized models while retaining both pretrained general knowledge and previously acquired tasks, without access to…

cs.CV2026

Continual Learning with Vision-Language Models via Semantic-Geometry Preservation

Chiyuan He, Zihuan Qiu, Fanman Meng +4

Continual learning of pretrained vision-language models (VLMs) is prone to catastrophic forgetting, yet current approaches adapt to new tasks without explicitly preserving the cros…

cs.LG2025

MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging

Zihuan Qiu, Yi Xu, Chiyuan He +4

Continual model merging integrates independently fine-tuned models sequentially without access to the original training data, offering a scalable and efficient solution for continu…

cs.CV2025

DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual Recognition

Chiyuan He, Zihuan Qiu, Fanman Meng +3

Continual learning of vision-language models (VLMs) focuses on leveraging cross-modal pretrained knowledge to incrementally adapt to expanding downstream tasks and datasets, while…

cs.LG2024

Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion

Shaoxu Cheng, Kanglei Geng, Chiyuan He +7

Continual Learning (CL) aims to enable Deep Neural Networks (DNNs) to learn new data without forgetting previously learned knowledge. The key to achieving this goal is to avoid con…

cs.CV2023★ 38 cited

Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning

Linfeng Xu, Qingbo Wu, Lili Pan +6

With the rapid development of wearable cameras, a massive collection of egocentric video for first-person visual perception becomes available. Using egocentric videos to predict fi…