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cs.CV2026

Improving Human Image Animation via Semantic Representation Alignment

Chang Liu, Mengting Chen, Yixuan Huang +5

The field of image-to-video generation has made remarkable progress. However, challenges such as human limb twisting and facial distortion persist, especially when generating long…

cs.CV2025

Unsupervised Domain Adaptation via Similarity-based Prototypes for Cross-Modality Segmentation

Ziyu Ye, Chen Ju, Chaofan Ma +1

Deep learning models have achieved great success on various vision challenges, but a well-trained model would face drastic performance degradation when applied to unseen data. Sinc…

cs.CV2025

Contrast-Unity for Partially-Supervised Temporal Sentence Grounding

Haicheng Wang, Chen Ju, Weixiong Lin +4

Temporal sentence grounding aims to detect event timestamps described by the natural language query from given untrimmed videos. The existing fully-supervised setting achieves grea…

cs.CV2024

Multi-Modal Prototypes for Open-World Semantic Segmentation

Yuhuan Yang, Chaofan Ma, Chen Ju +4

In semantic segmentation, generalizing a visual system to both seen categories and novel categories at inference time has always been practically valuable yet challenging. To enabl…

cs.CV2024

DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition

Haozhe Cheng, Cheng Ju, Haicheng Wang +5

As one of the fundamental video tasks in computer vision, Open-Vocabulary Action Recognition (OVAR) recently gains increasing attention, with the development of vision-language pre…