2 citations · 2 across the 4 of their papers we have counts for
7 papers
AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment
Yiheng Lin, Shifang Zhao, Ting Liu +4
Personalized image generation aims to integrate user-provided concepts into text-to-image models, enabling the generation of customized content based on a given prompt. Recent zero…
PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling
Xiao Yu, Yan Fang, Xiaojie Jin +2
Audio-visual event parsing plays a crucial role in understanding multimodal video content, but existing methods typically rely on offline processing of entire videos with huge mode…
3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation
Wenxin Chen, Mengxue Qu, Weitai Kang +3
3D Referring Expression Segmentation (3D-RES) typically requires extensive instance-level annotations, which are time-consuming and costly. Semi-supervised learning (SSL) mitigates…
IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation
Xiao Yu, Yan Fang, Yao Zhao +1
Class incremental learning aims to enable models to learn from sequential, non-stationary data streams across different tasks without catastrophic forgetting. In class incremental…
Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection
Xinhao Zhong, Siyu Jiao, Yao Zhao +1
Current Semi-Supervised Object Detection (SSOD) methods enhance detector performance by leveraging large amounts of unlabeled data, assuming that both labeled and unlabeled data sh…
CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting
Siyu Jiao, Haoye Dong, Yuyang Yin +5
Recent works in 3D multimodal learning have made remarkable progress. However, typically 3D multimodal models are only capable of handling point clouds. Compared to the emerging 3D…