Ranjeet Ranjan Jha

发表

UBSegNet: Unified Biometric Region of Interest Segmentation Network

Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

CED-Net: context-aware ear detection network for unconstrained images pdf

Ranjeet Ranjan Jha, Aditya Nigam, Aman Kamboj, 2020, Pattern Analysis and Applications.

HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD

Arnav Bhavsar, Gaurav Jaswal, Aditya Nigam, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

Aditya Nigam, Ranjeet Ranjan Jha, Mrinmoy Ray, 2020, Plant Methods.

CED-Net: context-aware ear detection network for unconstrained images

Rajneesh Rani, Ranjeet Ranjan Jha, Aditya Nigam, 2020 .

FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network

Arnav Bhavsar, Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, 2019, CAIP.

Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network

Arnav Bhavsar, Ranjeet Ranjan Jha, Aditya Nigam, 2018, CVIP.

PixISegNet: pixel-level iris segmentation network using convolutional encoder-decoder with stacked hourglass bottleneck

Gaurav Jaswal, Ranjeet Ranjan Jha, Aditya Nigam, 2020, IET Biom..

IPSegNet : Deep Convolutional Neural Network Based Segmentation Framework for Iris and Pupil

Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, Aditya Nigam, 2017, 2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

SP-NET: One Shot Fingerprint Singular-Point Detector pdf

Geetika Arora, Ranjeet Ranjan Jha, Aditya Nigam, 2019, ArXiv.

Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net)

Walter Schneider, Arnav Bhavsar, Ranjeet Ranjan Jha, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants

Sudeep Marwaha, Ranjeet Ranjan Jha, Aditya Nigam, 2021, IEEE Access.

Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants

Sudeep Marwaha, Ranjeet Ranjan Jha, Aditya Nigam, 2021, IEEE Access.

MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules pdf

Arnav Bhavsar, Ranjeet Ranjan Jha, Aditya Nigam, 2022, ArXiv.

Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN

Arnav Bhavsar, Ranjeet Ranjan Jha, Aditya Nigam, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

Ranjeet Ranjan Jha, R. Sahoo, Sudhir Kumar, 2020, Plant Methods.

AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass

Arnav Bhavsar, Ranjeet Ranjan Jha, Aditya Nigam, 2019, 2019 IEEE International Conference on Image Processing (ICIP).