Bappanadu, A.[Aravind]
* 2018: Large Scale Application Response Time Measurement Using Image Recognition and Deep Learning
Bappy, D.M.
* 2016: Combination of hybrid median filter and total variation minimisation for medical X-ray image restoration
* 2017: Modified simultaneous iterative reconstruction technique for fast, high-quality CT reconstruction
* 2019: High-quality X-ray computed tomography reconstruction using projected and interpolated images
Bappy, J.H.
* 2013: Information Consensus for Distributed Multi-target Tracking
* 2016: CNN based region proposals for efficient object detection
* 2016: Distributed Multi-Target Tracking and Data Association in Vision Networks
* 2016: Efficient selection of informative and diverse training samples with applications in scene classification
* 2016: Inter-dependent CNNs for joint scene and object recognition
* 2016: Online Adaptation for Joint Scene and Object Classification
* 2017: Detection and Localization of Image Forgeries Using Resampling Features and Deep Learning
* 2017: Exploiting Spatial Structure for Localizing Manipulated Image Regions
* 2017: Impact of Typicality for Informative Representative Selection, The
* 2017: Non-uniform Subset Selection for Active Learning in Structured Data
* 2017: Opportunistic Image Acquisition of Individual and Group Activities in a Distributed Camera Network
* 2017: Real Estate Image Classification
* 2019: Exploiting Typicality for Selecting Informative and Anomalous Samples in Videos
* 2019: Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
Includes: Bappy, J.H. Bappy, J.H.[Jawadul H.]
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