3 accepted papers
Unified interpreting and synthesizing human behaviors within 3D environments is vital for advancing spatial intelligence and humanoid robotics. Despite recent advancements (e.g., HSI-GPT), two fundamental capabilities expected of a unified model--understanding and generation--still lag behind specia
Image classification models often rely on superficial visual features, such as textures or colors, leading to undesired bias. This can compromise the robustness and reliability of deep models, particularly their performance on out-of-distribution (o.o.d.) datasets. Existing approaches, focusing on d…
General face recognition has seen remarkable progress in recent years. However, large age gap still remains a big challenge due to significant alterations in facial appearance and bone structure. Disentanglement plays a key role in partitioning face representations into identity-dependent and age-de…