Beer, A.
* 2012: In Situ Measurement of Bedrock Erosion
Beer, C.[Christian]
* 2013: Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Québec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data
Beer, M.
* 2015: Compressive sensing for power spectrum estimation of multi-dimensional processes under missing data
Beer, N.R.
* 2015: Change Detection in Constellations of Buried Objects Extracted From Ground-Penetrating Radar Data
Beer, R.
* 1996: Spatial-Learning for Navigation in Dynamic Environments
* 2006: Overview of the EOS Aura Mission
Beer, T.[Thomas]
* 2011: Multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer, A
Beerbaum, P.
* 2015: Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics
Beerel, P.[Peter]
* 2023: FireFly: A Synthetic Dataset for Ember Detection in Wildfire
Beerel, P.A.[Peter A.]
* 2021: HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise
* 2021: Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression
* 2022: Towards Energy-efficient Hyperspectral Image Processing Inside Camera Pixels
* 2023: Enabling ISPless Low-Power Computer Vision
* 2023: FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness
* 2023: Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference
* 2023: SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation
* 2023: Self-Attentive Pooling for Efficient Deep Learning
8 for Beerel, P.A.
Beerends, J.G.
* 2002: PVQM: A perceptual video quality measure
Beeri, O.
* 2009: Geographical model for precise agriculture monitoring with real-time remote sensing
* 2020: Kc and LAI Estimations Using Optical and SAR Remote Sensing Imagery for Vineyards Plots
* 2022: Sentinel-1 to NDVI for Agricultural Fields Using Hyperlocal Dynamic Machine Learning Approach
Includes: Beeri, O. Beeri, O.[Ofer]
Beermann, M.
* 2002: Look-ahead coding considering rate-distortion-optimization
* 2007: Acquisition Processing Chain for Dynamic Panoramic Image Sequences
Includes: Beermann, M. Beermann, M.[Markus]
Beernaert, R.[Roel]
* 2011: Reduced complexity multi-view video coding scheme for 2D camera arrays
* 2012: Efficient disparity vector prediction schemes with modified P frame for 2D camera arrays
Beernaerts, J.[Jasper]
* 2018: Hybrid Approach Combining the Multi-Temporal Scale Spatio-Temporal Network with the Continuous Triangular Model for Exploring Dynamic Interactions in Movement Data: A Case Study of Football, A
Beers, A.
* 1996: Model-Based Compression for Synthetic Animations
* 2021: Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge
Includes: Beers, A. Beers, A.[Andrew]
Beers, B.
* 2006: Calibration of fisheye camera systems and the reduction of chromatic aberration
Beery, S.
* 2016: Finding areas of motion in camera trap images
* 2018: Recognition in Terra Incognita
* 2020: Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection
* 2020: Synthetic Examples Improve Generalization for Rare Classes
* 2021: Benchmarking Representation Learning for Natural World Image Collections
* 2022: Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift, The
* 2022: Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting, The
* 2023: MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding
Includes: Beery, S. Beery, S.[Sara]
8 for Beery, S.