Daksh Thapar

发表

C. Arora, A. Nigam, Daksh Thapar, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments

Subhashis Banerjee, Daksh Thapar, A. Suri, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

Padmanabhan Rajan, Daksh Thapar, Aditya Nigam, 2019, The Journal of the Acoustical Society of America.

Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention

Arnav Bhavsar, Daksh Thapar, Aditya Nigam, 2020, ACCV.

Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https://egocentricbiometric.github.io/

Daksh Thapar, Aditya Nigam, Chetan Arora, 2020, ACM Multimedia.

Is Sharing of Egocentric Video Giving Away Your Biometric Signature?

Daksh Thapar, Aditya Nigam, Chetan Arora, 2020, ECCV.

PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features

Vivek Kanhangad, Gaurav Jaswal, Daksh Thapar, 2018, 2019 IEEE 5th International Conference on Identity, Security, and Behavior Analysis (ISBA).

Learning Domain Specific Features using Convolutional Autoencoder: A Vein Authentication Case Study using Siamese Triplet Loss Network

Gaurav Jaswal, Daksh Thapar, Aditya Nigam, 2019, ICPRAM.

VGR-net: A view invariant gait recognition network

Daksh Thapar, Aditya Nigam, Divyansh Aggarwal, 2017, 2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA).

Triplet Sampling Input Training Examples Train Multiscale CNN Triplets 128-D Embeddings Train MLP Classifier Trained CNN Extract Embeddings 128-D Embeddings Classify using Trained MLP Trained MLP ClassificationDeep Metric Learning Test Examples TRAINING TESTING

Padmanabhan Rajan, A. Nigam, Daksh Thapar, 2019 .

BrainSegNet : A Segmentation Network for Human Brain Fiber Tractography Data into Anatomically Meaningful Clusters pdf

Tushar Gupta, Daksh Thapar, Shreyas Malakarjun Patil, 2017, ArXiv.

Gait metric learning siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features

Gaurav Jaswal, Aditya Nigam, Chetan Arora, 2019, Pattern Recognit. Lett..

FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching

Gaurav Jaswal, Daksh Thapar, Aditya Nigam, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

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).

Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images

Arnav Bhavsar, Anil Kumar Sao, Daksh Thapar, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Effectiveness of GAN-based Synthetic Samples Generation of Minority Patterns in HEp-2 Cell Images*

Arnav Bhavsar, Daksh Thapar, Krati Gupta, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).