3 accepted papers
Large language models (LLMs) are substantial investments and increasingly deployed in high-stakes domains, making it critical to protect LLM-related assets and to trace their provenance.Identity technologies such as fingerprinting and watermarking address these needs by enabling ownership verificati
The prediction of human motion is essential for safe human-robot collaboration (HRC). For existing prediction methods based on adaptive neural network (NN) models, estimation errors (EEs) of model parameters are directly coupled with prior EEs of trajectories. This results in poor assessment of the
Recovering a dense depth image from sparse LiDAR scans is a challenging task. Despite the popularity of color-guided methods for sparse-to-dense depth completion, they treated pixels equally during optimization, ignoring the uneven distribution characteristics in the sparse depth map and the accumul…