Behl, A.[Aseem]
* 2014: Learning to Rank Using High-Order Information
* 2014: Optimizing Average Precision Using Weakly Supervised Data
* 2015: Optimizing Average Precision Using Weakly Supervised Data
* 2017: Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?
* 2019: PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds
* 2020: Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
* 2020: Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving
* 2020: Learning Situational Driving
Includes: Behl, A.[Aseem] Behl, A.
8 for Behl, A.
Behl, H.[Harkirat]
* 2022: Neural-Sim: Learning to Generate Training Data with NeRF
* 2023: Efficiently Robustify Pre-Trained Models
* 2023: Generalized Decoding for Pixel, Image, and Language
Behl, H.S.[Harkirat Singh]
* 2020: Autosimulate: (quickly) Learning Synthetic Data Generation
Behl, P.
* 2011: Image Analogy Based Document Image Compression
Behler, C.[Christina]
* 2022: Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro
Behley, J.[Jens]
* 2009: Generation of 3D City Models Using Domain-Specific Information Fusion
* 2019: SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
* 2021: 4D Panoptic LiDAR Segmentation
* 2022: In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation
* 2023: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
Includes: Behley, J.[Jens] Behley, J.
Behlilovic, N.
* 2008: Comparation of QoS parameters of received IPTV signals, using different compression algorithms for streaming Live or Stored AV Materials
* 2014: efficient troubleshooting testing scenario for IPTV over DSL: Preliminary discussion, An
* 2015: efficient troubleshooting testing scenario for IPTV over DSL lines: Practical examples, An
* 2016: DSL loop qualification by using noise margin
* 2017: On using of physical layer parameters of xDSL transceivers for troubleshooting
Includes: Behlilovic, N. Behlilovic, N.[Narcis]
Behlim, S.I.
* 2014: 3D facial reconstruction from a single 2D rasterstereography image
* 2015: Leveraging Mutual Information in Local Descriptions: From Local Binary Patterns to the Image
* 2017: Z-Images
Includes: Behlim, S.I. Behlim, S.I.[Sadaf I.]
Behling, R.[Robert]
* 2014: Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data
* 2014: Robust Automated Image Co-Registration of Optical Multi-Sensor Time Series Data: Database Generation for Multi-Temporal Landslide Detection
* 2015: Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data
* 2015: Development of Multi-Temporal Landslide Inventory Information System for Southern Kyrgyzstan Using GIS and Satellite Remote Sensing
* 2017: Analyses of Recent Sediment Surface Dynamic of a Namibian Kalahari Salt Pan Based on Multitemporal Landsat and Hyperspectral Hyperion Data
* 2017: Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan
* 2023: Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention
7 for Behling, R.
Behloul, A.[Ali]
* 2017: overview of traffic sign detection and classification methods, An
* 2017: Statistical Radial Binary Patterns (SRBP) for Bark Texture Identification
* 2018: Plant identification from bark: A texture description based on Statistical Macro Binary Pattern
Behloul, F.
* 2001: Neuro-fuzzy systems for computer-aided myocardial viability assessment
* 2002: Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data