Blasch, Erik

Encoding Color Information for Visual Tracking: Algorithms and Benchmark

Liang, P., Blasch, E., & Ling, H. (2015) · IEEE Transactions on Image Processing

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 726

Clustered Object Detection in Aerial Images

Yang, F., Fan, H., Chu, P., Blasch, E., & Ling, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 506

Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges

Blasch, E., Pham, T., Chong, C.-Y., Koch, W., Leung, H., Braines, D., & Abdelzaher, T. (2021) · IEEE Aerospace and Electronic Systems Magazine

Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

Cited by 207

Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge

Snidaro, L., Garcı́a, J., Llinas, J., & Blasch, E. (2016) · Advances in Computer Vision and Pattern Recognition

Advanced Image Fusion TechniquesAdvanced Neural Network Applications

Cited by 124

Artificial Intelligence and Data Fusion at the Edge

Munir, A., Blasch, E., Kwon, J., Kong, J., & Aved, A. (2021) · IEEE Aerospace and Electronic Systems Magazine

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 110

FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion

Munir, A., Kwon, J., Lee, J. H., Kong, J., Blasch, E., Aved, A. J., & Muhammad, K. (2021) · IEEE Access

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 73

Evaluation of LLM Reasoning Under Uncertainty: An Atomic Comparison to Normative Approaches

de Villiers, J. P., de Freitas, A., Jousselme, A.-L., Kaplan, L., Blasch, E., Laudy, C., & Costa, P. C. (2025) · 2025 28th International Conference on Information Fusion (FUSION)

Logic, Reasoning, and KnowledgeNatural Language Processing Techniques

Cited by 1