Segmentation of Circular and Rectangular Shapes in an Image Using Helmholtz Principle. - Snehasis Mukherjee; Dipti Prasad Mukherjee (ICVGIP, 2008)

Tracking Multiple Circular Objects in Video Using Helmholtz Principle. - Snehasis Mukherjee; Dipti Prasad Mukherjee (ICAPR, 2009)

Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses. - Snehasis Mukherjee; Sujoy Kumar Biswas; Dipti Prasad Mukherjee (ACCV (1), 2010)

Human action recognition in video by 'meaningful' poses. - Snehasis Mukherjee; Sujoy Kumar Biswas; Dipti Prasad Mukherjee (ICVGIP, 2010)

Recognizing interaction between human performers using 'key pose doublet'. - Snehasis Mukherjee; Sujoy Kumar Biswas; Dipti Prasad Mukherjee (ACM Multimedia, 2011)

Recognizing Human Action at a Distance in Video by Key Poses. - Snehasis Mukherjee; Sujoy Kumar Biswas; Dipti Prasad Mukherjee (IEEE Trans. Circuits Syst. Video Technol., 2011)

A design-of-experiment based statistical technique for detection of key-frames. - Snehasis Mukherjee; Dipti Prasad Mukherjee (Multim. Tools Appl., 2013)

Recognizing interactions between human performers by 'Dominating Pose Doublet'. - Snehasis Mukherjee; Sujoy Kumar Biswas; Dipti Prasad Mukherjee (Mach. Vis. Appl., 2014)

Human Action Recognition Using Dominant Pose Duplet. - Snehasis Mukherjee (ICVS, 2015)

Human Action Recognition Using Dominant Motion Pattern. - Snehasis Mukherjee; Apurbaa Mallik; Dipti Prasad Mukherjee (ICVS, 2015)

Multiple object tracking by improved KLT tracker over SURF features. - Vinodh Buddubariki; Sunitha Gowd Tulluri; Snehasis Mukherjee (NCVPRIPG, 2015)

A motion-based approach to detect persons in low-resolution video. - Snehasis Mukherjee; Dipti Prasad Mukherjee (Multim. Tools Appl., 2015)

Event recognition in egocentric videos using a novel trajectory based feature. - Vinodh Buddubariki; Sunitha Gowd Tulluri; Snehasis Mukherjee (ICVGIP, 2016)

Recognizing facial expressions using novel motion based features. - Snehasis Mukherjee; Bandla Vamshi; K. V. Sai Vineeth Kumar Reddy; Vamshi Krishna Repala; S. V. S. Harish (ICVGIP, 2016)

Recognizing Human Activities in Videos Using Improved Dense Trajectories over LSTM. - Krit Karan Singh; Snehasis Mukherjee (NCVPRIPG, 2017)

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification. - S. H. Shabbeer Basha; Soumen Ghosh; Kancharagunta Kishan Babu; Shiv Ram Dubey; Viswanath Pulabaigari; Snehasis Mukherjee (ICARCV, 2018)

A Multi-Face Challenging Dataset for Robust Face Recognition. - Shiv Ram Dubey; Snehasis Mukherjee (ICARCV, 2018)

SceneEDNet: A Deep Learning Approach for Scene Flow Estimation. - Ravi Kumar Thakur; Snehasis Mukherjee (ICARCV, 2018)

Video Dehazing using LMNN with respect to Augmented MRF. - Kushal Borkar; Snehasis Mukherjee (ICVGIP, 2018)

Activity Recognition in Egocentric Videos Using Bag of Key Action Units. - K. Sai Suma; G. Aditya; Snehasis Mukherjee (ICVGIP, 2018)

Automatic Assessment of Artistic Quality of Photos. - Ashish Verma; Kranthi Koukuntla; Rohit Varma; Snehasis Mukherjee (CoRR, 2018)

Single Image Dehazing Based on Generic Regularity. - Kushal Borkar; Snehasis Mukherjee (CoRR, 2018)

Measuring level of cuteness of baby images: a supervised learning scheme. - Pooja Makula; Akshay Kumar; Snehasis Mukherjee (Multim. Tools Appl., 2018)

Human action and event recognition using a novel descriptor based on improved dense trajectories. - Snehasis Mukherjee; Krit Karan Singh (Multim. Tools Appl., 2018)

Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks. - Sai Prasanna Teja Reddy; Surya Teja Karri; Shiv Ram Dubey; Snehasis Mukherjee (IJCNN, 2019)

A Conditional Adversarial Network for Scene Flow Estimation. - Ravi Kumar Thakur; Snehasis Mukherjee (RO-MAN, 2019)

Human Action Recognition from 3D Landmark Points of the Performer. - Snehasis Mukherjee; Chirumamilla Nagalakshmi (CVIP (2), 2020)

Visual Question Answering Using Deep Learning: A Survey and Performance Analysis. - Yash Srivastava; Vaishnav Murali; Shiv Ram Dubey; Snehasis Mukherjee (CVIP (2), 2020)

Action Recognition in Haze Using an Efficient Fusion of Spatial and Temporal Features. - Sri Girinadh Tanneru; Snehasis Mukherjee (CVIP (2), 2020)

Facial expression recognition in the wild, by fusion of deep learnt and hand-crafted features. - Gajjala Viswanatha Reddy; C. V. R. Dharma Savarni; Snehasis Mukherjee (Cogn. Syst. Res., 2020)

AutoFCL: Automatically Tuning Fully Connected Layers for Transfer Learning. - S. H. Shabbeer Basha; Sravan Kumar Vinakota; Shiv Ram Dubey; Viswanath Pulabaigari; Snehasis Mukherjee (CoRR, 2020)

Measuring photography aesthetics with deep CNNs. - Gajjala Viswanatha Reddy; Snehasis Mukherjee; Mainak Thakur (IET Image Process., 2020)

Impact of fully connected layers on performance of convolutional neural networks for image classification. - S. H. Shabbeer Basha; Shiv Ram Dubey; Viswanath Pulabaigari; Snehasis Mukherjee (Neurocomputing, 2020)

Single image dehazing by approximating and eliminating the additional airlight component. - Kushal Borkar; Snehasis Mukherjee (Neurocomputing, 2020)

LDOP: local directional order pattern for robust face retrieval. - Shiv Ram Dubey; Snehasis Mukherjee (Multim. Tools Appl., 2020)

Blind image quality assessment using a combination of statistical features and CNN. - Aravind Babu Jeripothula; Santosh Kumar Velamala; Sunil Kumar Banoth; Snehasis Mukherjee (Multim. Tools Appl., 2020)

Human activity recognition in RGB-D videos by dynamic images. - Snehasis Mukherjee; Leburu Anvitha; T. Mohana Lahari (Multim. Tools Appl., 2020)

Local bit-plane decoded convolutional neural network features for biomedical image retrieval. - Shiv Ram Dubey; Swalpa Kumar Roy; Soumendu Chakraborty; Snehasis Mukherjee; Bidyut Baran Chaudhuri (Neural Comput. Appl., 2020)

diffGrad: An Optimization Method for Convolutional Neural Networks. - Shiv Ram Dubey; Soumendu Chakraborty; Swalpa Kumar Roy; Snehasis Mukherjee; Satish Kumar Singh; Bidyut Baran Chaudhuri (IEEE Trans. Neural Networks Learn. Syst., 2020)

MERANet: facial micro-expression recognition using 3D residual attention network. - Gajjala Viswanatha Reddy; Sai Prasanna Teja Reddy; Snehasis Mukherjee; Shiv Ram Dubey (ICVGIP, 2021)

Single image dehazing using improved cycleGAN. - B. S. N. V. Chaitanya; Snehasis Mukherjee (J. Vis. Commun. Image Represent., 2021)

Learnable spatiotemporal feature pyramid for prediction of future optical flow in videos. - Laisha Wadhwa; Snehasis Mukherjee (Mach. Vis. Appl., 2021)

AutoFCL: automatically tuning fully connected layers for handling small dataset. - S. H. Shabbeer Basha; Sravan Kumar Vinakota; Shiv Ram Dubey; Viswanath Pulabaigari; Snehasis Mukherjee (Neural Comput. Appl., 2021)

AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning. - S. H. Shabbeer Basha; Sravan Kumar Vinakota; Viswanath Pulabaigari; Snehasis Mukherjee; Shiv Ram Dubey (Neural Networks, 2021)

Attention-based Single Image Dehazing Using Improved CycleGAN. - R. S. Jaisurya; Snehasis Mukherjee (IJCNN, 2022)

First-person Activity Recognition by Modelling Subject - Action Relevance. - Manav Prabhakar; Snehasis Mukherjee (IJCNN, 2022)

Long-term Spatio-temporal Contrastive Learning framework for Skeleton Action Recognition. - Anshul Rustogi; Snehasis Mukherjee (IJCNN, 2022)

An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos. - S. H. Shabbeer Basha; Viswanath Pulabaigari; Snehasis Mukherjee (Multim. Tools Appl., 2022)

Image Dehazing Based on Online Distillation. - R. S. Jaisurya; Snehasis Mukherjee (CVIP (2), 2023)

WSD: Wild Selfie Dataset for Face Recognition in Selfie Images. - Laxman Kumarapu; Shiv Ram Dubey; Snehasis Mukherjee; Parkhi Mohan; Sree Pragna Vinnakoti; Subhash Karthikeya (CVIP (1), 2023)

Egocentric Action Prediction via Knowledge Distillation and Subject-Action Relevance. - Snehasis Mukherjee; Bhavay Chopra (CVIP (1), 2023)

STTGC-Net: Spatial-Temporal Transformer with Graph Convolution for Skeleton-Based Action Recognition. - Tanishka Yagneshwar; Snehasis Mukherjee (ICVGIP, 2023)

Auto CNN classifier based on knowledge transferred from self-supervised model. - Jaydeep Kishore; Snehasis Mukherjee (Appl. Intell., 2023)

AGLC-GAN: Attention-based global-local cycle-consistent generative adversarial networks for unpaired single image dehazing. - R. S. Jaisurya; Snehasis Mukherjee (Image Vis. Comput., 2023)

UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters. - Kovvuri Sai Gopal Reddy; Bodduluri Saran; A. Mudit Adityaja; Saurabh J. Shigwan; Nitin Kumar 003; Snehasis Mukherjee (BMVC, 2024)

Automatic Detection of Virus Infection Patterns in Foci Images Using Switchable Convolutions. - Amrita Singh; Ajit Kumar; Snehasis Mukherjee; Naga Suresh Veerapu (IEEE Access, 2024)

Scale-Invariant Object Detection by Adaptive Convolution with Unified Global-Local Context. - Amrita Singh; Snehasis Mukherjee (CoRR, 2024)

Deep Model Compression based on the Training History. - S. H. Shabbeer Basha; Mohammad Farazuddin; Viswanath Pulabaigari; Shiv Ram Dubey; Snehasis Mukherjee (Neurocomputing, 2024)

DFW-PP: dynamic feature weighting-based popularity prediction for social media content. - Viswanatha Reddy G; B. S. N. V. Chaitanya; Prathyush P; Sumanth M; Mrinalini C; Dileep Kumar P; Snehasis Mukherjee (J. Supercomput., 2024)

Minimizing Parameter Overhead in Self-Supervised Models for Target Task. - Jaydeep Kishore; Snehasis Mukherjee (IEEE Trans. Artif. Intell., 2024)

An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization. - Jaydeep Kishore; Snehasis Mukherjee (Prog. Artif. Intell., 2024)

Impact of Autotuned Fully Connected Layers on Performance of Self-supervised Models for Image Classification. - Jaydeep Kishore; Snehasis Mukherjee (Mach. Intell. Res., 2024)

Revisiting Subject-Action Relevance for Egocentric Activity Recognition. - Manav Prabhakar; Kovvuri Sai Gopal Reddy; Snehasis Mukherjee (NCC, 2025)

Plantation Monitoring Using Drone Images: A Dataset and Performance Review. - Yashwanth Karumanchi; Gudala Laxmi Prasanna; Snehasis Mukherjee; Nagesh Kolagani (CoRR, 2025)

Adaptive adam-based optimizers using second-order weight decoupling and gradient-aware weight decay for vision transformer. - Boyapati Hemanth Sai; Snehasis Mukherjee; Shiv Ram Dubey (Mach. Vis. Appl., 2025)

Designing Autotuned Student Models by Knowledge Distillation from Self-Supervised Teacher Models. - Jaydeep Kishore; Snehasis Mukherjee (SN Comput. Sci., 2025)

Continual Learning-Based Unified Model for Unpaired Image Restoration Tasks. - Kotha Kartheek; Lingamaneni Gnanesh Chowdary; Snehasis Mukherjee (CoRR, 2025)