Murn, L.
* 2020: Interpreting CNN For Low Complexity Learned Sub-Pixel Motion Compensation In Video Coding
* 2023: Efficient Convolution and Transformer-based Network for Video Frame Interpolation
* 2023: Query-Based Video Summarization with Pseudo Label Supervision
* 2024: Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks
Includes: Murn, L. Murn, L.[Luka]
Murnaghan, K.[Kevin]
* 2014: Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
* 2015: Validation of Spaceborne Radar Surface Water Mapping with Optical sUAS Images
* 2017: Seasonal Change in Wetland Coherence as an Aid to Wetland Monitoring
* 2019: SAR Backscatter and InSAR Coherence for Monitoring Wetland Extent, Flood Pulse and Vegetation: A Study of the Amazon Lowland
* 2021: Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin
* 2021: Seasonal Surface Subsidence and Frost Heave Detected by C-Band DInSAR in a High Arctic Environment, Cape Bounty, Melville Island, Nunavut, Canada
Includes: Murnaghan, K.[Kevin] Murnaghan, K.
Murnani, S.[Suatmi]
* 2024: Robust Object Selection in Spontaneous Gaze-Controlled Application Using Exponential Moving Average and Hidden Markov Model
Murnmadi, C.K.[Chaithanya Kumar]
* 2022: Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness