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Journal Articles
- 2021
[j2]Gaurav Jaswal
, Rohit Bharadwaj, Kamlesh Tiwari, Daksh Thapar, Piyush Goyal, Aditya Nigam:
AI-Biometric-Driven Smartphone App for Strict Post-COVID Home Quarantine Management. IEEE Consumer Electron. Mag. 10(3): 49-55 (2021)- 2019
- [j1]Daksh Thapar, Gaurav Jaswal, Aditya Nigam, Chetan Arora:
Gait metric learning siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features. Pattern Recognit. Lett. 125: 646-653 (2019)
Conference and Workshop Papers
- 2023
- [c16]K. N. Ajay Shastry, Jayesh Chaudhari, Daksh Thapar, Aditya Nigam, Chetan Arora:
Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers. ICIP 2023: 3085-3089 - [c15]Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora:
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. WACV 2023: 6180-6190 - 2022
- [c14]Daksh Thapar, Aditya Nigam, Chetan Arora:
Merry Go Round: Rotate a Frame and Fool a DNN. CVPR 2022: 15034-15043 - 2021
- [c13]Daksh Thapar, Aditya Nigam, Chetan Arora:
Anonymizing Egocentric Videos. ICCV 2021: 2300-2309 - [c12]Aayush Gupta, Daksh Thapar, Sujay Deb:
Smart Camera for Enforcing Social Distancing. iSES 2021: 349-354 - 2020
- [c11]Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, Aditya Nigam:
Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention. ACCV (5) 2020: 600-616 - [c10]Daksh Thapar, Chetan Arora, Aditya Nigam:
Is Sharing of Egocentric Video Giving Away Your Biometric Signature? ECCV (17) 2020: 399-416 - [c9]Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao:
Effectiveness of GAN-based Synthetic Samples Generation of Minority Patterns in HEp-2 Cell Images*. EMBC 2020: 1376-1379 - [c8]Daksh Thapar, Aditya Nigam, Chetan Arora:
Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https: //egocentricbiometric.github.io/. ACM Multimedia 2020: 2095-2103 - 2019
- [c7]Krati Gupta, Daksh Thapar, Arnav Bhavsar, Anil Kumar Sao:
Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images. CVPR Workshops 2019: 1080-1086 - [c6]Manish Agnihotri, Aditya Rathod, Daksh Thapar, Gaurav Jaswal, Kamlesh Tiwari, Aditya Nigam:
Learning Domain Specific Features using Convolutional Autoencoder: A Vein Authentication Case Study using Siamese Triplet Loss Network. ICPRAM 2019: 778-785 - [c5]Daksh Thapar, Gaurav Jaswal, Aditya Nigam:
FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching. IJCNN 2019: 1-8 - [c4]Daksh Thapar, Gaurav Jaswal, Aditya Nigam, Vivek Kanhangad:
PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features. ISBA 2019: 1-8 - 2018
- [c3]Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam:
All-Conv Net for Bird Activity Detection: Significance of Learned Pooling. INTERSPEECH 2018: 2122-2126 - [c2]Daksh Thapar, Aditya Nigam, Divyansh Aggarwal, Punjal Agarwal:
VGR-net: A view invariant gait recognition network. ISBA 2018: 1-8 - 2017
- [c1]Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam:
UBSegNet: Unified Biometric Region of Interest Segmentation Network. ACPR 2017: 923-928
Informal and Other Publications
- 2022
- [i8]Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora:
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. CoRR abs/2211.16200 (2022) - 2019
- [i7]Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam:
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss. CoRR abs/1903.10713 (2019) - [i6]Daksh Thapar, Gaurav Jaswal, Aditya Nigam:
FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching. CoRR abs/1904.01289 (2019) - [i5]Abhigyan Khaund, Daksh Thapar, Aditya Nigam:
PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network. CoRR abs/1911.04237 (2019) - 2018
- [i4]Daksh Thapar, Gaurav Jaswal, Aditya Nigam, Vivek Kanhangad:
PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features. CoRR abs/1812.06271 (2018) - 2017
- [i3]Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam:
UBSegNet: Unified Biometric Region of Interest Segmentation Network. CoRR abs/1709.08924 (2017) - [i2]Daksh Thapar, Divyansh Aggarwal, Punjal Agarwal, Aditya Nigam:
VGR-Net: A View Invariant Gait Recognition Network. CoRR abs/1710.04803 (2017) - [i1]Tushar Gupta, Shreyas Malakarjun Patil, Mukkaram Tailor, Daksh Thapar, Aditya Nigam:
BrainSegNet : A Segmentation Network for Human Brain Fiber Tractography Data into Anatomically Meaningful Clusters. CoRR abs/1710.05158 (2017)
Coauthor Index
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