M-CBN: Manifold constrained joint image dehazing and super-resolution based on chord boosting network.

DSD-MatchingNet: Deformable Sparse-to-Dense Feature Matching for Learning Accurate Correspondences.

TMS-GAN: A Twofold Multi-Scale Generative Adversarial Network for Single Image Dehazing.

DADAN: dual-path attention with distribution analysis network for text-image matching.

GA-SRN: graph attention based text-image semantic reasoning network for fine-grained image classification and retrieval.

CJE-TIG: Zero-shot cross-lingual text-to-image generation by Corpora-based Joint Encoding.

GCL-OSDA: Uncertainty prediction-based graph collaborative learning for open-set domain adaptation.

DGattGAN: Cooperative Up-Sampling Based Dual Generator Attentional GAN on Text-to-Image Synthesis.

Embedding 3D models in offline physical environments.

Polar coordinate sampling-based segmentation of overlapping cervical cells using attention U-Net and random walk.