Social relations have substantial impacts on the potential trajectories of each individual. Modeling these dynamics has been a central solution for more precise and accurate trajectory forecasting. However, previous works ignore the importance of …
Recent LiDAR-based 3D Object Detection (3DOD) methods show promising results, but they often do not generalize well to target domains outside the source (or training) data distribution. To reduce such domain gaps and thus to make 3DOD models more …
In autonomous driving applications, there is a strong preference for modeling the world in Bird’s-Eye View (BEV), as it leads to improved accuracy and performance. BEV features are widely used in perception tasks since they allow fusing information …
Current text-to-image generation methods produce high-resolution and high-quality images, but they should not produce immoral images that may contain inappropriate content from the perspective of commonsense morality. Conventional approaches, …
Recent advances in Large Language Models (LLMs) have stimulated a surge of research aimed at extending their applications to the visual domain. While these models exhibit promise in generating abstract image captions and facilitating natural …
Recent successes suggest that knowledge distillation techniques can usefully transfer knowledge between deep neural networks as compression and acceleration techniques, e.g., effectively and reliably compress a large teacher model into a smaller …
In recent years, video generation has become a prominent generative tool and has drawn significant attention. However, there is little consideration in audio-to-video generation, though audio contains unique qualities like temporal semantics and …
Learning domain-invariant representations is important to train a model that can generalize well to unseen target task domains. Text descriptions inherently contain semantic structures of concepts and such auxiliary semantic cues can be used as …
Current text-to-image generation methods produce high-resolution and high-quality images, but they should not produce immoral images that may contain inappropriate content from the perspective of commonsense morality. Conventional approaches, …
In recent years, video generation has become a prominent generative tool and has drawn significant attention. However, there is little consideration in audio-to-video generation, though audio contains unique qualities like temporal semantics and …