3 citations · 4 across the 11 of their papers we have counts for
11 papers · 1 filter
DementiaCare-Bench: A Modality-Validated Video Benchmark
Afrouz Sheikholeslami, Yuankai Qi, Xuyun Zhang +4
Dementia affects an estimated 57 million people worldwide, and for most families the hardest part of care is not memory loss but the behavioral and psychological symptoms of dement…
ProgFormer: Hierarchical Voxel Diffusion Transformer for Longitudinal Brain MRI Prediction
Dexuan Ding, Yuankai Qi, Luping Zhou +3
Predicting future structural MRI of a brain is challenging because longitudinal changes are often subtle and confined to specific anatomical regions, while most subject-specific br…
Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning
Shengqin Jiang, Xiaoran Feng, Yuankai Qi +6
Few-shot class-incremental learning (FSCIL) seeks to continuously learn new classes from very limited samples while preserving previously acquired knowledge. Traditional methods of…
Multimodal Visual Surrogate Compression for Alzheimer's Disease Classification
Dexuan Ding, Ciyuan Peng, Endrowednes Kuantama +6
High-dimensional structural MRI (sMRI) images are widely used for Alzheimer's Disease (AD) diagnosis. Most existing methods for sMRI representation learning rely on 3D architecture…
Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning
Shengqin Jiang, Tianqi Kong, Yuankai Qi +5
Prompt-based continual learning methods fine-tune only a small set of additional learnable parameters while keeping the pre-trained model's parameters frozen. It enables efficient…
Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos
Jianbo Ma, Hui Luo, Qi Chen +5
Multi-object tracking (MOT) aims to track multiple objects while maintaining consistent identities across frames of a given video. In unmanned aerial vehicle (UAV) recorded videos,…
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization
Zhuo Tao, Liang Li, Qi Chen +5
Natural language video localization (NLVL) is a crucial task in video understanding that aims to localize the target moment in videos specified by a given language description. Rec…
Adapter-Enhanced Semantic Prompting for Continual Learning
Baocai Yin, Ji Zhao, Huajie Jiang +5
Continual learning (CL) enables models to adapt to evolving data streams. A major challenge of CL is catastrophic forgetting, where new knowledge will overwrite previously acquired…
VidToMe: Video Token Merging for Zero-Shot Video Editing
Xirui Li, Chao Ma, Xiaokang Yang +1
Diffusion models have made significant advances in generating high-quality images, but their application to video generation has remained challenging due to the complexity of tempo…
Weakly Supervised Video Individual CountingWeakly Supervised Video Individual Counting
Xinyan Liu, Guorong Li, Yuankai Qi +5
Video Individual Counting (VIC) aims to predict the number of unique individuals in a single video. % Existing methods learn representations based on trajectory labels for individu…
Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection
Chen Zhang, Guorong Li, Yuankai Qi +4
The goal of weakly supervised video anomaly detection is to learn a detection model using only video-level labeled data. However, prior studies typically divide videos into fixed-l…