Jagacinski, R.
* 2017: Personalizable Driver Steering Model Capable of Predicting Driver Behaviors in Vehicle Collision Avoidance Maneuvers, A
Jagacinski, R.J.
* 2019: Drivers' Attentional Instability on a Winding Roadway
* 2023: Drivers' Attention to Preview and Its Momentary Persistence
Includes: Jagacinski, R.J. Jagacinski, R.J.[Richard J.]
Jagadeesan, A.P.
* 2010: Fast Human Classification Of 3d Object Benchmarks
Jagadeesan, H.
* 2009: novel approach to design of user re-authentication systems, A
Jagadeesan, J.[Jayender]
* 2019: Re-weighting and 1-Point RANSAC-Based PnnP Solution to Handle Outliers
* 2020: Real-Time Dense Reconstruction of Tissue Surface From Stereo Optical Video
Includes: Jagadeesan, J.[Jayender] Jagadeesan, J.
Jagadeesan, R.
* 1995: Automated Segmentation of Brain MR-Images
Jagadeesh, G.R.
* 2014: Method for accuracy assessment of aggregated freeway traffic data
* 2017: Online Map-Matching of Noisy and Sparse Location Data With Hidden Markov and Route Choice Models
Jagadeesh, J.M.
* 1998: Wavelet Functions To Estimate Velocity In Spatiotemporal Signals
Jagadeesh, V.[Vignesh]
* 2010: Interactive graph cut segmentation of touching neuronal structures from electron micrographs
* 2010: Spatio-temporal optical flow statistics (STOFS) for activity classification
* 2012: Online parameter estimation in dynamic Markov Random Fields for image sequence analysis
* 2013: From Where and How to What We See
* 2013: Graph-Based Topic-Focused Retrieval in Distributed Camera Network
* 2013: Learning bottom-up text attention maps for text detection using stroke width transform
* 2013: Learning top down scene context for visual attention modeling in natural images
* 2013: Robust Segmentation Based Tracing Using an Adaptive Wrapper for Inducing Priors
* 2014: Cascaded sparse color-localized matching for logo retrieval
* 2014: Furniture-geek: Understanding fine-grained furniture attributes from freely associated text and tags
* 2014: Im2depth: Scalable exemplar based depth transfer
* 2014: Multi-Label Learning With Fused Multimodal Bi-Relational Graph
* 2014: Region-Based Discriminative Feature Pooling for Scene Text Recognition
* 2014: Synapse classification and localization in Electron Micrographs
* 2015: ConceptLearner: Discovering visual concepts from weakly labeled image collections
* 2015: Efficient Media Retrieval from Non-Cooperative Queries
* 2015: HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition
* 2015: Mine the fine: Fine-grained fragment discovery
* 2016: Fashion apparel detection: The role of deep convolutional neural network and pose-dependent priors
Includes: Jagadeesh, V.[Vignesh] Jagadeesh, V.
19 for Jagadeesh, V.
Jagadish, B.[Buddolla]
* 2021: Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest: Utilisation of AVIRIS-NG and Sentinel Data
Jagadish, H.V.
* 1987: Array Architectures for Iterative Algorithms
* 1989: Object Model for Image Recognition, An
* 1992: On Sequential Shape Descriptions
* 1992: RightPages Image-Based Electronic Library for Alerting and Browsing, The
Jagadish, K.[Krishnaprasad]
* 2008: Image Matching Using High Dynamic Range Images and Radial Feature Descriptors
Jagaille, M.
* 2021: Towards Gender Equality in Education and Career in the Earth Observation and GI Sector
Jaganathan, S.[Srikrishna]
* 2023: PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation
* 2023: Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Jaganmohan, M.
* 2013: Mapping Urban Tree Species Using Very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches
Jagannaffian, A.
* 2002: graph-theoretic approach to miultiscale texture segmentation, A
Jagannath, D.J.
* 2020: Deep learning strategies for foetal electrocardiogram signal synthesis
* 2020: Image fusion for stabilized medical video sequence using multimodal parametric registration
Jagannath, H.S.
* 2012: Morphological Enhancement of Microcalcifications in Digital Mammograms
Jagannath, R.
* 2013: Block Sparse Estimator for Grid Matching in Single Snapshot DoA Estimation
Jagannatham, A.K.
* 2004: Cramer-Rao Lower Bound for Constrained Complex Parameters
* 2013: Non-Antipodal Signaling Based Robust Detection for Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks
* 2014: Optimal Prediction Likelihood Tree Based Source-Channel ML Decoder for Wireless Sensor Networks
* 2014: Optimal Viterbi Based Total Variation Sequence Detection (TVSD) For Robust Image/Video Decoding In Wireless Sensor Networks
* 2014: Random Parameter EM-Based Kalman Filter (REKF) for Joint Symbol Detection and Channel Estimation in Fast Fading STTC MIMO Systems
* 2015: Optimal Bartlett Detector Based SPRT for Spectrum Sensing in Multi-antenna Cognitive Radio Systems
* 2015: Optimal Minimum Variance Distortionless Precoding (MVDP) for Decentralized Estimation in MIMO Wireless Sensor Networks
* 2015: Transceiver Optimization for Unicast/Multicast MIMO Cognitive Overlay/Underlay Networks
* 2017: Precoding for Robust Decentralized Estimation in Coherent-MAC-Based Wireless Sensor Networks
* 2017: Queuing Analysis for Multiple-Antenna Cognitive Radio Wireless Networks With Beamforming
* 2022: Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs
Includes: Jagannatham, A.K. Jagannatham, A.K.[Aditya K.]
11 for Jagannatham, A.K.
Jagannathan, A.
* 2005: Unstructured Point Cloud Matching within Graph-Theoretic and Thermodynamic Frameworks
* 2007: Three-Dimensional Surface Mesh Segmentation Using Curvedness-Based Region Growing Approach
* 2019: Video-Text Compliance: Activity Verification Based on Natural Language Instructions
Includes: Jagannathan, A. Jagannathan, A.[Anupama]
Jagannathan, K.
* 2018: Taxi Demand Forecasting: A HEDGE-Based Tessellation Strategy for Improved Accuracy
* 2021: Grids Versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts
Includes: Jagannathan, K. Jagannathan, K.[Krishna]
Jagannathan, S.
* 2009: Neural Network Control of Mobile Robot Formations Using RISE Feedback
* 2011: Force Estimation and Prediction from Time-Varying Density Images
* 2016: Diverse Low Cost High Performance Platform for Advanced Driver Assistance System (ADAS) Applications, A
Includes: Jagannathan, S. Jagannathan, S.[Srinivasan]
Jagarlamudi, V.
* 2018: 2018 NVIDIA AI City Challenge, The
Jagatap, G.
* 2018: Model Corrected Low Rank Ptychography
Jagatheeswari, P.
* 2019: Fractional crow search-based support vector neural network for patient classification and severity analysis of tuberculosis
* 2020: Severity detection and infection level identification of tuberculosis using deep learning