Lei Qi

Divide-and-conquer for enhancing unlabeled learning, stability, and plasticity in semi-supervised continual learning

Correspondence as video: test-time adaption on SAM2 for reference segmentation in the wild

Taste more, taste better: diverse data and strong model boost semi-supervised crowd counting

Steady progress beats stagnation: mutual aid of foundation and conventional models in mixed domain semi-supervised medical image segmentation

Balanced direction from multifarious choices: arithmetic meta-learning for domain generalization