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Prerana 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) - [c31]Swati Bhugra, Prerana Mukherjee, Vinay Kaushik, Siddharth Srivastava, Manoj Sharma, Viswanathan Chinnusamy, Brejesh Lall, Santanu Chaudhary:
ICPR 2024 Leaf Inspect Competition: Leaf Instance Segmentation and Counting. ICPR (34) 2024: 103-119 - [c30]Mehul Kumar, Aditya Sharma, Prerana Mukherjee, Koteswar Rao Jerripothula:
CMAEH: Contrastive Masked Autoencoder Based Hashing for Efficient Image Retrieval. ICPR (20) 2024: 437-452 - [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
- [c29]Sudeep Rathore
, Avinash Upadhyay
Cross-Domain Feature Extraction Using CycleGAN for Large FoV Thermal Image Creation. CVIP (3) 2023: 65-77 - 2022
- [j13]Jaswanth Nidamanuri
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
COMPOSV: compound feature extraction and depthwise separable convolution-based online signature verification. Neural Comput. Appl. 34(13): 10901-10928 (2022) - [j10]Koteswar Rao Jerripothula
AppFuse: An Appearance Fusion Framework for Saliency Cues. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8261-8274 (2022) - [c28]Chandra Sekhar Vorugunti
COMPOSV++: Light Weight Online Signature Verification Framework Through Compound Feature Extraction and Few-Shot Learning. ICFHR 2022: 98-111 - [c27]Swati Bhugra
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
DA-SACOT: Domain adaptive-segmentation guided attention for correlation based object tracking. Image Vis. Comput. 112: 104215 (2021) - [j8]Laxman Kumarapu
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
DFTNet: Deep Fish Tracker With Attention Mechanism in Unconstrained Marine Environments. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c26]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 - [c25]Koteswar Rao Jerripothula
ASOC: Adaptive Self-Aware Object Co-Localization. ICME 2021: 1-6 - [c24]Prerana Mukherjee, Vinay Kaushik, Ronak Gupta
MaskMTL: Attribute Prediction in Masked Facial Images with Deep Multitask Learning. PReMI 2021: 413-421 - [c23]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
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
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) - [c22]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 - [c21]Chandra Sekhar Vorugunti
Online Signature Profiling using Generative Adversarial Networks. COMSNETS 2020: 894-896 - [c20]Parth Patwa, Srinivas PYKL, Amitava Das, Prerana Mukherjee, Viswanath Pulabaigari:
Hater-O-Genius Aggression Classification using Capsule Networks. ICON 2020: 149-154 - [c19]Shaik Masihullah, Ritu Garg, Prerana Mukherjee, Anupama Ray
Attention Based Coupled Framework for Road and Pothole Segmentation. ICPR 2020: 5812-5819 - [c18]Ronak Gupta
Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments. SUMAC @ ACM Multimedia 2020: 5-13 - [c17]Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik
Aerial Multi-Object Tracking by Detection Using Deep Association Networks. NCC 2020: 1-6 - [c16]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
- [c15]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 - [c14]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 - [c13]Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall:
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting. GlobalSIP 2019: 1-5 - [c12]Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCV Workshops 2019: 189-198 - [c11]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 - [c10]Chandra Sekhar Vorugunti
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification. ICDAR 2019: 1470-1475 - [c9]Anupama Ray
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
- [c8]Vinay Kaushik
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) - [c7]Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall:
Enhanced Characterness for Text Detection in the Wild. CVIP (1) 2017: 359-369 - [c6]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall, Kamlesh Jaiswal:
Object Classification using Ensemble of Local and Deep Features. ICAPR 2017: 1-6 - [c5]Prerana Mukherjee, Brejesh Lall, Sarvaswa Tandon:
Salprop: Salient object proposals via aggregated edge cues. ICIP 2017: 2423-2429 - [c4]Nakul Garg, Ishani Janveja, Divyansh Malhotra, Chetan Chawla
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) - [c3]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall:
Adaptive image compression using saliency and KAZE features. SPCOM 2016: 1-5 - 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 2024-12-13 20:04 CET by the dblp team
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