Bagaa, M.
* 2019: Trust-Based Video Management Framework for Social Multimedia Networks
Bagad, P.[Piyush]
* 2022: C-3PO: Towards Rotation Equivariant Feature Detection and Description
* 2022: How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?
* 2023: Test of Time: Instilling Video-Language Models with a Sense of Time
Bagaglini, L.[Leonardo]
* 2019: Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples
* 2021: Passive Microwave Neural Network Precipitation Retrieval Algorithm for Climate Applications (PNPR-CLIM): Design and Verification, The
Bagai, D.
* 2003: Fusion for registration of medical images: A study
* 2004: new algorithm for skew detection and correction, A
Includes: Bagai, D. Bagai, D.[Deepak]
Bagal, V.[Viraj]
* 2022: InfographicVQA
Bagan, H.[Hasi]
* 2008: Land-cover Classification Using ASTER Multi-band Combinations Based on Wavelet Fusion and SOM Neural Network
* 2012: Combination of AVNIR-2, PALSAR, and Polarimetric Parameters for Land Cover Classification
* 2021: Combination of Sentinel-2 and PALSAR-2 for Local Climate Zone Classification: A Case Study of Nanchang, China
* 2022: Groundwater Management in an Uncommon and Artificial Aquifer Based on Kc Approach and MODIS ET Products for Irrigation Assessment in a Subtropical Island
* 2023: Exploring Spatiotemporal Variations in Land Surface Temperature Based on Local Climate Zones in Shanghai from 2008 to 2020
Includes: Bagan, H.[Hasi] Bagan, H.
Bagaram, M.B.[Martin B.]
* 2018: UAV Remote Sensing for Biodiversity Monitoring: Are Forest Canopy Gaps Good Covariates?
Bagari, A.[Aditya]
* 2021: Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge
Bagarinao, E.[Epifanio]
* 2009: Adapting SVM Image Classifiers to Changes in Imaging Conditions Using Incremental SVM: An Application to Car Detection
Bagautdinov, T.[Timur]
* 2015: Probability occupancy maps for occluded depth images
* 2016: Principled Parallel Mean-Field Inference for Discrete Random Fields
* 2017: Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition
* 2018: Modeling Facial Geometry Using Compositional VAEs
* 2018: WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection
* 2021: Learning Compositional Radiance Fields of Dynamic Human Heads
* 2021: Masksembles for Uncertainty Estimation
* 2022: AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling
* 2022: DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks
* 2023: NPC: Neural Point Characters from Video
* 2023: RelightableHands: Efficient Neural Relighting of Articulated Hand Models
Includes: Bagautdinov, T.[Timur] Bagautdinov, T.
11 for Bagautdinov, T.
Bagavathiannan, M.[Muthukumar]
* 2020: Detection of Italian Ryegrass in Wheat and Prediction of Competitive Interactions Using Remote-Sensing and Machine-Learning Techniques
Bagavathiannan, M.V.[Muthukumar V.]
* 2021: Influence of Image Quality and Light Consistency on the Performance of Convolutional Neural Networks for Weed Mapping