Search Results for author:
Found 6 papers, 3 papers with code
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities
Recent advancements in Vision-Language (VL) models have sparked interest in their deployment on edge devices, yet challenges in handling diverse visual modalities, manual annotation, and computational constraints remain.
Risk Controlled Image Retrieval
Most image retrieval research focuses on improving predictive performance, ignoring scenarios where the reliability of the prediction is also crucial.
Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion
The majority of human detection methods rely on the sensor using visible lights (e. g., RGB cameras) but such sensors are limited in scenarios with degraded vision conditions.
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Large Language Models (LLMs) have exploded a new heatwave of AI for their ability to engage end-users in human-level conversations with detailed and articulate answers across many knowledge domains.
Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings
In this work, we present CUE, a novel uncertainty estimation method for dense prediction tasks in 3D point clouds.
STUN: Self-Teaching Uncertainty Estimation for Place Recognition
Then, supervised by the pretrained teacher net, a student net with an additional variance branch is trained to finetune the embedding priors and estimate the uncertainty sample by sample.
