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 …
In autonomous driving and robotics, there is a growing interest in utilizing short-term historical data to enhance multi camera 3D object detection, leveraging the continuous and correlated nature of input video streams. Recent work has focused on …
Recent successes suggest that an image can be manipulated by a text prompt, e.g., a landscape scene on a sunny day is manipulated into the same scene on a rainy day driven by a text input “raining”. These approaches often utilize a StyleCLIP-based …
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 …
Approaches to improving multilingual language understanding often require multiple languages during the training phase, rely on complicated training techniques, and -- importantly -- struggle with significant performance gaps between high-resource …
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 …
Personalizing text-to-image models using a limited set of images for a specific object has been explored in subject-specific image generation. However, existing methods often face challenges in aligning with text prompts due to overfitting to the …
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, …