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Journal Articles
- 2024
[j27]Amrita Singh, Ajit Kumar
, Snehasis Mukherjee, Naga Suresh Veerapu:
Automatic Detection of Virus Infection Patterns in Foci Images Using Switchable Convolutions. IEEE Access 12: 126446-126459 (2024)- [j26]S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari, Shiv Ram Dubey, Snehasis Mukherjee:
Deep Model Compression based on the Training History. Neurocomputing 573: 127257 (2024) - [j25]Jaydeep Kishore, Snehasis Mukherjee:
An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization. Prog. Artif. Intell. 13(3): 201-215 (2024) - [j24]Jaydeep Kishore, Snehasis Mukherjee:
Minimizing Parameter Overhead in Self-Supervised Models for Target Task. IEEE Trans. Artif. Intell. 5(4): 1635-1646 (2024) - [j23]Viswanatha Reddy G, B. S. N. V. Chaitanya, Prathyush P, Sumanth M, Mrinalini C, Dileep Kumar P, Snehasis Mukherjee:
DFW-PP: dynamic feature weighting-based popularity prediction for social media content. J. Supercomput. 80(4): 5708-5730 (2024) - 2023
- [j22]Jaydeep Kishore, Snehasis Mukherjee:
Auto CNN classifier based on knowledge transferred from self-supervised model. Appl. Intell. 53(19): 22086-22104 (2023) - [j21]R. S. Jaisurya, Snehasis Mukherjee:
AGLC-GAN: Attention-based global-local cycle-consistent generative adversarial networks for unpaired single image dehazing. Image Vis. Comput. 140: 104859 (2023) - 2022
- [j20]S. H. Shabbeer Basha, Viswanath Pulabaigari, Snehasis Mukherjee:
An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos. Multim. Tools Appl. 81(28): 40431-40449 (2022) - 2021
- [j19]B. S. N. V. Chaitanya, Snehasis Mukherjee:
Single image dehazing using improved cycleGAN. J. Vis. Commun. Image Represent. 74: 103014 (2021) - [j18]Laisha Wadhwa, Snehasis Mukherjee:
Learnable spatiotemporal feature pyramid for prediction of future optical flow in videos. Mach. Vis. Appl. 32(1): 18 (2021) - [j17]S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
AutoFCL: automatically tuning fully connected layers for handling small dataset. Neural Comput. Appl. 33(13): 8055-8065 (2021) - [j16]S. H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari, Snehasis Mukherjee, Shiv Ram Dubey:
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning. Neural Networks 133: 112-122 (2021) - 2020
- [j15]Gajjala Viswanatha Reddy, C. V. R. Dharma Savarni, Snehasis Mukherjee:
Facial expression recognition in the wild, by fusion of deep learnt and hand-crafted features. Cogn. Syst. Res. 62: 23-34 (2020) - [j14]Gajjala Viswanatha Reddy, Snehasis Mukherjee, Mainak Thakur:
Measuring photography aesthetics with deep CNNs. IET Image Process. 14(8): 1561-1570 (2020) - [j13]S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
Impact of fully connected layers on performance of convolutional neural networks for image classification. Neurocomputing 378: 112-119 (2020) - [j12]Kushal Borkar, Snehasis Mukherjee:
Single image dehazing by approximating and eliminating the additional airlight component. Neurocomputing 400: 294-308 (2020) - [j11]Shiv Ram Dubey, Snehasis Mukherjee:
LDOP: local directional order pattern for robust face retrieval. Multim. Tools Appl. 79(9-10): 6363-6382 (2020) - [j10]Snehasis Mukherjee, Leburu Anvitha, T. Mohana Lahari:
Human activity recognition in RGB-D videos by dynamic images. Multim. Tools Appl. 79(27-28): 19787-19801 (2020) - [j9]Aravind Babu Jeripothula, Santosh Kumar Velamala, Sunil Kumar Banoth, Snehasis Mukherjee:
Blind image quality assessment using a combination of statistical features and CNN. Multim. Tools Appl. 79(31-32): 23243-23260 (2020) - [j8]Shiv Ram Dubey, Swalpa Kumar Roy, Soumendu Chakraborty, Snehasis Mukherjee, Bidyut Baran Chaudhuri:
Local bit-plane decoded convolutional neural network features for biomedical image retrieval. Neural Comput. Appl. 32(11): 7539-7551 (2020) - [j7]Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri:
diffGrad: An Optimization Method for Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4500-4511 (2020) - 2018
- [j6]Snehasis Mukherjee, Krit Karan Singh:
Human action and event recognition using a novel descriptor based on improved dense trajectories. Multim. Tools Appl. 77(11): 13661-13678 (2018) - [j5]Pooja Makula, Akshay Kumar, Snehasis Mukherjee:
Measuring level of cuteness of baby images: a supervised learning scheme. Multim. Tools Appl. 77(13): 16867-16885 (2018) - 2015
- [j4]Snehasis Mukherjee, Dipti Prasad Mukherjee:
A motion-based approach to detect persons in low-resolution video. Multim. Tools Appl. 74(21): 9475-9490 (2015) - 2014
- [j3]Snehasis Mukherjee, Sujoy Kumar Biswas, Dipti Prasad Mukherjee:
Recognizing interactions between human performers by 'Dominating Pose Doublet'. Mach. Vis. Appl. 25(4): 1033-1052 (2014) - 2013
- [j2]Snehasis Mukherjee, Dipti Prasad Mukherjee:
A design-of-experiment based statistical technique for detection of key-frames. Multim. Tools Appl. 62(3): 847-877 (2013) - 2011
- [j1]Snehasis Mukherjee, Sujoy Kumar Biswas, Dipti Prasad Mukherjee:
Recognizing Human Action at a Distance in Video by Key Poses. IEEE Trans. Circuits Syst. Video Technol. 21(9): 1228-1241 (2011)
Conference and Workshop Papers
- 2023
- [c29]Laxman Kumarapu, Shiv Ram Dubey, Snehasis Mukherjee, Parkhi Mohan, Sree Pragna Vinnakoti, Subhash Karthikeya:
WSD: Wild Selfie Dataset for Face Recognition in Selfie Images. CVIP (1) 2023: 1-12 - [c28]R. S. Jaisurya, Snehasis Mukherjee:
Image Dehazing Based on Online Distillation. CVIP (2) 2023: 37-48 - [c27]Snehasis Mukherjee, Bhavay Chopra:
Egocentric Action Prediction via Knowledge Distillation and Subject-Action Relevance. CVIP (1) 2023: 565-573 - [c26]Tanishka Yagneshwar, Snehasis Mukherjee:
STTGC-Net: Spatial-Temporal Transformer with Graph Convolution for Skeleton-Based Action Recognition. ICVGIP 2023: 9:1-9:10 - 2022
- [c25]R. S. Jaisurya, Snehasis Mukherjee:
Attention-based Single Image Dehazing Using Improved CycleGAN. IJCNN 2022: 1-8 - [c24]Manav Prabhakar, Snehasis Mukherjee:
First-person Activity Recognition by Modelling Subject - Action Relevance. IJCNN 2022: 1-8 - [c23]Anshul Rustogi, Snehasis Mukherjee:
Long-term Spatio-temporal Contrastive Learning framework for Skeleton Action Recognition. IJCNN 2022: 1-8 - 2021
- [c22]Gajjala Viswanatha Reddy, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey:
MERANet: facial micro-expression recognition using 3D residual attention network. ICVGIP 2021: 3:1-3:10 - 2020
- [c21]Sri Girinadh Tanneru, Snehasis Mukherjee:
Action Recognition in Haze Using an Efficient Fusion of Spatial and Temporal Features. CVIP (2) 2020: 29-38 - [c20]Snehasis Mukherjee, Chirumamilla Nagalakshmi:
Human Action Recognition from 3D Landmark Points of the Performer. CVIP (2) 2020: 39-49 - [c19]Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey, Snehasis Mukherjee:
Visual Question Answering Using Deep Learning: A Survey and Performance Analysis. CVIP (2) 2020: 75-86 - 2019
- [c18]Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey, Snehasis Mukherjee:
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks. IJCNN 2019: 1-8 - [c17]Ravi Kumar Thakur, Snehasis Mukherjee:
A Conditional Adversarial Network for Scene Flow Estimation. RO-MAN 2019: 1-6 - 2018
- [c16]Shiv Ram Dubey, Snehasis Mukherjee:
A Multi-Face Challenging Dataset for Robust Face Recognition. ICARCV 2018: 168-173 - [c15]Ravi Kumar Thakur, Snehasis Mukherjee:
SceneEDNet: A Deep Learning Approach for Scene Flow Estimation. ICARCV 2018: 394-399 - [c14]S. H. Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification. ICARCV 2018: 1222-1227 - [c13]K. Sai Suma, G. Aditya, Snehasis Mukherjee:
Activity Recognition in Egocentric Videos Using Bag of Key Action Units. ICVGIP 2018: 9:1-9:9 - [c12]Kushal Borkar, Snehasis Mukherjee:
Video Dehazing using LMNN with respect to Augmented MRF. ICVGIP 2018: 42:1-42:9 - 2017
- [c11]Krit Karan Singh, Snehasis Mukherjee:
Recognizing Human Activities in Videos Using Improved Dense Trajectories over LSTM. NCVPRIPG 2017: 78-88 - 2016
- [c10]Snehasis Mukherjee, Bandla Vamshi, K. V. Sai Vineeth Kumar Reddy, Vamshi Krishna Repala, S. V. S. Harish:
Recognizing facial expressions using novel motion based features. ICVGIP 2016: 32:1-32:8 - [c9]Vinodh Buddubariki, Sunitha Gowd Tulluri, Snehasis Mukherjee:
Event recognition in egocentric videos using a novel trajectory based feature. ICVGIP 2016: 76:1-76:8 - 2015
- [c8]Snehasis Mukherjee, Apurbaa Mallik, Dipti Prasad Mukherjee:
Human Action Recognition Using Dominant Motion Pattern. ICVS 2015: 477-487 - [c7]Snehasis Mukherjee:
Human Action Recognition Using Dominant Pose Duplet. ICVS 2015: 488-497 - [c6]Vinodh Buddubariki, Sunitha Gowd Tulluri, Snehasis Mukherjee:
Multiple object tracking by improved KLT tracker over SURF features. NCVPRIPG 2015: 1-4 - 2011
- [c5]Snehasis Mukherjee, Sujoy Kumar Biswas, Dipti Prasad Mukherjee:
Recognizing interaction between human performers using 'key pose doublet'. ACM Multimedia 2011: 1329-1332 - 2010
- [c4]Snehasis Mukherjee, Sujoy Kumar Biswas, Dipti Prasad Mukherjee:
Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses. ACCV (1) 2010: 244-255 - [c3]Snehasis Mukherjee, Sujoy Kumar Biswas, Dipti Prasad Mukherjee:
Human action recognition in video by 'meaningful' poses. ICVGIP 2010: 9-16 - 2009
- [c2]Snehasis Mukherjee, Dipti Prasad Mukherjee:
Tracking Multiple Circular Objects in Video Using Helmholtz Principle. ICAPR 2009: 290-293 - 2008
- [c1]Snehasis Mukherjee, Dipti Prasad Mukherjee:
Segmentation of Circular and Rectangular Shapes in an Image Using Helmholtz Principle. ICVGIP 2008: 657-664
Editorship
- 2017
- [e1]Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash P. Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury:
Computer Vision, Graphics, and Image Processing - ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, Guwahati, India, December 19, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10481, Springer 2017, ISBN 978-3-319-68123-8 [contents]
Informal and Other Publications
- 2023
- [i19]Laxman Kumarapu, Shiv Ram Dubey, Snehasis Mukherjee, Parkhi Mohan, Sree Pragna Vinnakoti, Subhash Karthikeya:
WSD: Wild Selfie Dataset for Face Recognition in Selfie Images. CoRR abs/2302.07245 (2023) - 2021
- [i18]S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari, Shiv Ram Dubey, Snehasis Mukherjee:
Deep Model Compression based on the Training History. CoRR abs/2102.00160 (2021) - [i17]Viswanatha Reddy G, B. S. N. V. Chaitanya, Prathyush P, Sumanth M, Mrinalini C, Dileep Kumar P, Snehasis Mukherjee:
DFW-PP: Dynamic Feature Weighting based Popularity Prediction for Social Media Content. CoRR abs/2110.08510 (2021) - 2020
- [i16]S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
AutoFCL: Automatically Tuning Fully Connected Layers for Transfer Learning. CoRR abs/2001.11951 (2020) - [i15]S. H. Shabbeer Basha, Viswanath Pulabaigari, Snehasis Mukherjee:
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos. CoRR abs/2002.02100 (2020) - [i14]S. H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari, Snehasis Mukherjee, Shiv Ram Dubey:
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning. CoRR abs/2005.02165 (2020) - [i13]Gajjala Viswanatha Reddy, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey:
MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network. CoRR abs/2012.04581 (2020) - 2019
- [i12]S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification. CoRR abs/1902.02771 (2019) - [i11]Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey, Snehasis Mukherjee:
Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks. CoRR abs/1904.01390 (2019) - [i10]Ravi Kumar Thakur, Snehasis Mukherjee:
A Conditional Adversarial Network for Scene Flow Estimation. CoRR abs/1904.11163 (2019) - [i9]Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey, Snehasis Mukherjee:
Visual Question Answering using Deep Learning: A Survey and Performance Analysis. CoRR abs/1909.01860 (2019) - [i8]Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri:
diffGrad: An Optimization Method for Convolutional Neural Networks. CoRR abs/1909.11015 (2019) - 2018
- [i7]Shiv Ram Dubey, Snehasis Mukherjee:
LDOP: Local Directional Order Pattern for Robust Face Retrieval. CoRR abs/1803.07441 (2018) - [i6]Ashish Verma, Kranthi Koukuntla, Rohit Varma, Snehasis Mukherjee:
Automatic Assessment of Artistic Quality of Photos. CoRR abs/1804.06124 (2018) - [i5]Snehasis Mukherjee, Leburu Anvitha, T. Mohana Lahari:
Human Activity Recognition in RGB-D Videos by Dynamic Images. CoRR abs/1807.02947 (2018) - [i4]Ravi Kumar Thakur, Snehasis Mukherjee:
SceneEDNet: A Deep Learning Approach for Scene Flow Estimation. CoRR abs/1807.03464 (2018) - [i3]Kushal Borkar, Snehasis Mukherjee:
Single Image Dehazing Based on Generic Regularity. CoRR abs/1808.08610 (2018) - [i2]Shiv Ram Dubey, Snehasis Mukherjee:
A Multi-Face Challenging Dataset for Robust Face Recognition. CoRR abs/1810.01898 (2018) - [i1]S. H. Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee:
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification. CoRR abs/1810.02797 (2018)
Coauthor Index
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last updated on 2024-10-04 19:59 CEST by the dblp team
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