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ORCIDPrerana Mukherjee
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2020 – today
- 2024
[j14]Mehul Kumar, Rhythumwinder Singh, Prerana Mukherjee:
VTHSC-MIR: Vision Transformer Hashing with Supervised Contrastive learning based medical image retrieval. Pattern Recognit. Lett. 184: 28-36 (2024)- [i23]Avinash Upadhyay, Manoj Sharma, Prerana Mukherjee, Amit Singhal, Brejesh Lall:
A Comprehensive Survey on Synthetic Infrared Image synthesis. CoRR abs/2408.06868 (2024) - 2023
- [c28]Sudeep Rathore
, Avinash Upadhyay, Manoj Sharma, Ajay Yadav, G. Shyam Chand, Amit Singhal, Prerana Mukherjee, Brejesh Lall:
Cross-Domain Feature Extraction Using CycleGAN for Large FoV Thermal Image Creation. CVIP (3) 2023: 65-77 - 2022
- [j13]Jaswanth Nidamanuri, Prerana Mukherjee, Rolf Assfalg, Hrishikesh Venkataraman:
Auto-Alert: A Spatial and Temporal Architecture for Driving Assistance in Road Traffic Environments. Int. J. Intell. Transp. Syst. Res. 20(1): 64-74 (2022) - [j12]Gullapalli Keerti, A. N. Vaishnavi, Prerana Mukherjee, A. Sree Vidya, Gattineni Sai Sreenithya, Deeksha Nayab:
Attentional networks for music generation. Multim. Tools Appl. 81(4): 5179-5189 (2022) - [j11]Chandra Sekhar Vorugunti, Viswanath Pulabaigari, Prerana Mukherjee, Avinash Gautam:
COMPOSV: compound feature extraction and depthwise separable convolution-based online signature verification. Neural Comput. Appl. 34(13): 10901-10928 (2022) - [j10]Koteswar Rao Jerripothula, Prerana Mukherjee, Jianfei Cai, Shijian Lu, Junsong Yuan:
AppFuse: An Appearance Fusion Framework for Saliency Cues. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8261-8274 (2022) - [c27]Chandra Sekhar Vorugunti, Balasubramanian Subramanian, Prerana Mukherjee, Avinash Gautam:
COMPOSV++: Light Weight Online Signature Verification Framework Through Compound Feature Extraction and Few-Shot Learning. ICFHR 2022: 98-111 - [c26]Swati Bhugra, Prerana Mukherjee, Vinay Kaushik, Ritika Jha, Brejesh Lall, Santanu Chaudhury:
TARSNet: Topology Aware Root Segmentation Network for plant phenotyping. ICVGIP 2022: 58:1-58:8 - [i22]Prerana Mukherjee, Vinay Kaushik, Ronak Gupta, Ritika Jha, Daneshwari Kankanwadi, Brejesh Lall:
MaskMTL: Attribute prediction in masked facial images with deep multitask learning. CoRR abs/2201.03002 (2022) - [i21]Koteswar Rao Jerripothula, Prerana Mukherjee:
ASOC: Adaptive Self-aware Object Co-localization. CoRR abs/2201.11547 (2022) - [i20]Prerana Mukherjee, Chandan Kumar Roy, Swalpa Kumar Roy:
OCFormer: One-Class Transformer Network for Image Classification. CoRR abs/2204.11449 (2022) - 2021
- [j9]Priya Mariam Raju, Deepak Mishra, Prerana Mukherjee:
DA-SACOT: Domain adaptive-segmentation guided attention for correlation based object tracking. Image Vis. Comput. 112: 104215 (2021) - [j8]Laxman Kumarapu, Prerana Mukherjee:
AnimePose: Multi-person 3D pose estimation and animation. Pattern Recognit. Lett. 147: 16-24 (2021) - [j7]Ujjwal Upadhyay, Prerana Mukherjee:
Generating Out of Distribution Adversarial Attack Using Latent Space Poisoning. IEEE Signal Process. Lett. 28: 523-527 (2021) - [j6]Shilpi Gupta, Prerana Mukherjee, Santanu Chaudhury, Brejesh Lall, Hemanth Sanisetty:
DFTNet: Deep Fish Tracker With Attention Mechanism in Unconstrained Marine Environments. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c25]Anukriti Bansal, Prerana Mukherjee, Divyansh Joshi, Devashish Tripathi, Arun Pratap Singh:
Multi-task Learning for Newspaper Image Segmentation and Baseline Detection Using Attention-Based U-Net Architecture. ICDAR Workshops (2) 2021: 440-454 - [c24]Koteswar Rao Jerripothula, Prerana Mukherjee:
ASOC: Adaptive Self-Aware Object Co-Localization. ICME 2021: 1-6 - [c23]Prerana Mukherjee, Vinay Kaushik, Ronak Gupta, Ritika Jha, Daneshwari Kankanwadi, Brejesh Lall:
MaskMTL: Attribute Prediction in Masked Facial Images with Deep Multitask Learning. PReMI 2021: 413-421 - [c22]Prerana Mukherjee, Manoj Sharma, Megh Makwana, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Brejesh Lall, Santanu Chaudhury:
DSAL-GAN: Denoising Based Saliency Prediction with Generative Adversarial Networks. PReMI 2021: 568-576 - [i19]Parth Patwa, Srinivas PYKL, Amitava Das, Prerana Mukherjee, Viswanath Pulabaigari:
Hater-O-Genius Aggression Classification using Capsule Networks. CoRR abs/2105.11219 (2021) - 2020
- [j5]Chandra Sekhar Vorugunti, Viswanath Pulabaigari, Prerana Mukherjee, Abhishek Sharma:
DeepFuseOSV: online signature verification using hybrid feature fusion and depthwise separable convolution neural network architecture. IET Biom. 9(6): 259-268 (2020) - [j4]Chandra Sekhar Vorugunti, Viswanath Pulabaigari, Rama Krishna Sai Subrahmanyam Gorthi, Prerana Mukherjee:
OSVFuseNet: Online Signature Verification by feature fusion and depth-wise separable convolution based deep learning. Neurocomputing 409: 157-172 (2020) - [j3]Prerana Mukherjee, Brejesh Lall:
Conditional Random Field based salient proposal set generation and its application in content aware seam carving. Signal Process. Image Commun. 87: 115890 (2020) - [c21]Niloofar Safi Samghabadi, Parth Patwa, Srinivas PYKL, Prerana Mukherjee, Amitava Das, Thamar Solorio:
Aggression and Misogyny Detection using BERT: A Multi-Task Approach. TRAC@LREC 2020: 126-131 - [c20]Chandra Sekhar Vorugunti, Prerana Mukherjee, Viswanath Pulabaigari:
Online Signature Profiling using Generative Adversarial Networks. COMSNETS 2020: 894-896 - [c19]Parth Patwa, Srinivas PYKL, Amitava Das, Prerana Mukherjee, Viswanath Pulabaigari:
Hater-O-Genius Aggression Classification using Capsule Networks. ICON 2020: 149-154 - [c18]Shaik Masihullah, Ritu Garg, Prerana Mukherjee, Anupama Ray:
Attention Based Coupled Framework for Road and Pothole Segmentation. ICPR 2020: 5812-5819 - [c17]Ronak Gupta, Prerana Mukherjee, Brejesh Lall, Varshul Gupta:
Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments. SUMAC @ ACM Multimedia 2020: 5-13 - [c16]Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik, Brejesh Lall:
Aerial Multi-Object Tracking by Detection Using Deep Association Networks. NCC 2020: 1-6 - [c15]Abhijit Mohanta, Prerana Mukherjee, Vinay Kumar Mirtal:
Acoustic Features Characterization of Autism Speech for Automated Detection and Classification. NCC 2020: 1-6 - [i18]Laxman Kumarapu, Prerana Mukherjee:
AnimePose: Multi-person 3D pose estimation and animation. CoRR abs/2002.02792 (2020) - [i17]Gullapalli Keerti, A. N. Vaishnavi, Prerana Mukherjee, A. Sree Vidya, Gattineni Sai Sreenithya, Deeksha Nayab:
Attentional networks for music generation. CoRR abs/2002.03854 (2020) - [i16]Ronak Gupta, Prerana Mukherjee, Brejesh Lall, Varshul Gupta:
Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments. CoRR abs/2008.12832 (2020) - [i15]Ujjwal Upadhyay, Prerana Mukherjee:
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning. CoRR abs/2012.05027 (2020)
2010 – 2019
- 2019
- [c14]Radhika Dua, Divyam Madaan, Prerana Mukherjee, Brejesh Lall:
Real Time Attention Based Bidirectional Long Short-Term Memory Networks for Air Pollution Forecasting. BigDataService 2019: 151-158 - [c13]Chandra Sekhar Vorugunti, Prerana Mukherjee, Devanur S. Guru, Viswanath Pulabaigari:
Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure. CVPR Workshops 2019: 88-95 - [c12]Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall:
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting. GlobalSIP 2019: 1-5 - [c11]Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang:
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCV Workshops 2019: 189-198 - [c10]Chandra Sekhar Vorugunti, Anoushka Doctor, Prerana Mukherjee, Viswanath Pulabaigari:
A Light Weight and Hybrid Deep Learning Model Based Online Signature Verification. WML@ICDAR 2019: 53-58 - [c9]Chandra Sekhar Vorugunti, Devanur S. Guru, Prerana Mukherjee, Viswanath Pulabaigari:
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification. ICDAR 2019: 1470-1475 - [c8]Anupama Ray, Siddharth Kumar, Rutvik Reddy, Prerana Mukherjee, Ritu Garg:
Multi-level Attention Network using Text, Audio and Video for Depression Prediction. AVEC@MM 2019: 81-88 - [i14]Chandra Sekhar Vorugunti, Prerana Mukherjee, Devanur S. Guru, Viswanath Pulabaigari:
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification. CoRR abs/1904.00240 (2019) - [i13]Prerana Mukherjee, Manoj Sharma, Megh Makwana, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Brejesh Lall, Santanu Chaudhury:
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks. CoRR abs/1904.01215 (2019) - [i12]Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall:
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting. CoRR abs/1904.03977 (2019) - [i11]Chandra Sekhar Vorugunti, Prerana Mukherjee, Devanur S. Guru, Viswanath Pulabaigari:
Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure. CoRR abs/1905.08574 (2019) - [i10]Chandra Sekhar Vorugunti, Anoushka Doctor, Prerana Mukherjee, Viswanath Pulabaigari:
A Light weight and Hybrid Deep Learning Model based Online Signature Verification. CoRR abs/1907.04061 (2019) - [i9]Anupama Ray, Siddharth Kumar, Rutvik Reddy, Prerana Mukherjee, Ritu Garg:
Multi-level Attention network using text, audio and video for Depression Prediction. CoRR abs/1909.01417 (2019) - [i8]Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik, Brejesh Lall:
Aerial multi-object tracking by detection using deep association networks. CoRR abs/1909.01547 (2019) - [i7]Subham Banga, Ujjwal Upadhyay, Piyush Agarwal, Aniket Sharma, Prerana Mukherjee:
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wild. CoRR abs/1910.13801 (2019) - 2018
- [c7]Vinay Kaushik, Prerana Mukherjee, Brejesh Lall:
Nrityantar: Pose oblivious Indian classical dance sequence classification system. ICVGIP 2018: 65:1-65:7 - [i6]Prerana Mukherjee, Brejesh Lall, Snehith Lattupally:
Object cosegmentation using deep Siamese network. CoRR abs/1803.02555 (2018) - [i5]Vinay Kaushik, Prerana Mukherjee, Brejesh Lall:
Nrityantar: Pose oblivious Indian classical dance sequence classification system. CoRR abs/1812.05231 (2018) - 2017
- [j2]Prerana Mukherjee, Brejesh Lall:
Saliency and KAZE features assisted object segmentation. Image Vis. Comput. 61: 82-97 (2017) - [c6]Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall:
Enhanced Characterness for Text Detection in the Wild. CVIP (1) 2017: 359-369 - [c5]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall, Kamlesh Jaiswal:
Object Classification using Ensemble of Local and Deep Features. ICAPR 2017: 1-6 - [c4]Prerana Mukherjee, Brejesh Lall, Sarvaswa Tandon:
Salprop: Salient object proposals via aggregated edge cues. ICIP 2017: 2423-2429 - [c3]Nakul Garg, Ishani Janveja, Divyansh Malhotra, Chetan Chawla, Pulkit Gupta, Harshil Bansal, Aakanksha Chowdhery, Prerana Mukherjee, Brejesh Lall:
Poster: DRIZY: Collaborative Driver Assistance Over Wireless Networks. MobiCom 2017: 546-548 - [i4]Prerana Mukherjee, Brejesh Lall, Sarvaswa Tandon:
SalProp: Salient object proposals via aggregated edge cues. CoRR abs/1706.04472 (2017) - [i3]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall, Kamlesh Jaiswal:
Object Classification using Ensemble of Local and Deep Features. CoRR abs/1712.04926 (2017) - [i2]Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall:
Enhanced Characterness for Text Detection in the Wild. CoRR abs/1712.04927 (2017) - 2016
- [j1]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall:
Characterizing objects with SIKA features for multiclass classification. Appl. Soft Comput. 46: 1056-1066 (2016) - 2015
- [c2]Prerana Mukherjee, Brejesh Lall, Archit Shah:
Saliency map based improved segmentation. ICIP 2015: 1290-1294 - [c1]Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall, Saisha Asolkar, Meera Pai:
Adaptive crypto-steganosystem for videos based on information content and visual perception. NCVPRIPG 2015: 1-4 - [i1]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall:
Benchmarking KAZE and MCM for Multiclass Classification. CoRR abs/1505.05240 (2015)
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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