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ORCID11th ICVGIP 2018: Hyderabad, India
- ICVGIP 2018: 11th Indian Conference on Computer Vision, Graphics and Image Processing, Hyderabad, India, 18-22 December, 2018. ACM 2018, ISBN 978-1-4503-6615-1
- Adarsh Jamadandi, Sunidhi Kotturshettar, Uma Mudenagudi:
PredGAN: a deep multi-scale video prediction framework for detecting anomalies in videos. 1:1-1:8 - Annapurna Sharma
, Dinesh Babu Jayagopi:
Handwritten Essay Grading on Mobiles using MDLSTM Model and Word Embeddings. 2:1-2:8 - T. M. Feroz Ali, Rajbabu Velmurugan, Kalpesh K. Patel, Subhasis Chaudhuri:
Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification. 3:1-3:9 - Vijay John, Swarn Singh Rathour, Seiichi Mita, Hossein Tehrani, Kazuhisa Ishimaru, Masataka Konishi, Hakusho Chin:
Vision-based Steering Angle Prediction by the Fusion of Depth and Intensity Deep Features. 4:1-4:8 - Omkar Gune, Meet Vora, Biplab Banerjee, Subhasis Chaudhuri:
Zero-shot Learning using Graph Regularized Latent Discriminative Cross-domain Triplets. 5:1-5:9 - Akshay Dudhane, Subrahmanyam Murala, Abhinav Dhall:
LEDNet: Deep Network for Single Image Haze Removal. 6:1-6:7 - Debanjan Sadhya, Akshay Agarwal, Balasubramanian Raman:
Perfectly Secure Shamir's Secret Sharing Scheme for Privacy Preserving Image Processing Over Cloud. 7:1-7:8 - Muhammed Fasil C., Subhasis Chaudhuri:
Moving Average Recurrent Neural Network Model for Video-based Person Re-Identification. 8:1-8:9 - K. Sai Suma, G. Aditya, Snehasis Mukherjee:
Activity Recognition in Egocentric Videos Using Bag of Key Action Units. 9:1-9:9 - Javed Imran, Balasubramanian Raman:
Multimodal Egocentric Activity Recognition Using Multi-stream CNN. 10:1-10:8 - Ashish Mehta, Adithya Subramanian, Anbumani Subramanian:
Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision. 11:1-11:8 - Amit More, Subhasis Chaudhuri:
A Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos. 12:1-12:9 - Shobhanjana Kalita, Arindam Karmakar, Shyamanta M. Hazarika:
A Temporal Activity Graph Kernel for Human Activity Classification. 13:1-13:8 - Srikrishna Varadarajan, Muktabh Mayank Srivastava:
Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset. 14:1-14:7 - Neeladrishekhar Kanjilal, Parag Chaudhuri:
Real-time Simulation of Human Musculature. 15:1-15:8 - Fateme Bahri, Moein Shakeri, Nilanjan Ray:
Online Illumination Invariant Moving Object Detection by Generative Neural Network. 16:1-16:8 - Anupama Arun, Thomas James Thomas, Sheeba J. Rani, Rama Krishna Sai Subrahmanyam Gorthi:
Variable Patch Dictionaries for efficient Compressed Sensing based MRI Reconstruction. 17:1-17:9 - Saurabh Kumar, Subhasis Chaudhuri:
A Fast Method for Very Low Bit-Rate Coding of Hyperspectral Images. 18:1-18:7 - G. E. Spoorthi, Subrahmanyam Gorthi, Rama Krishna Sai Subrahmanyam Gorthi:
A Deep Learning-based Model for Phase Unwrapping. 19:1-19:8 - V. C. Swetha, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
Scale and Rotation Corrected CNNs (SRC-CNNs) for Scale and Rotation Invariant Character Recognition: SRC-CNN for Scale and Rotation Invariant Character Recognition. 20:1-20:8 - Monu Verma, Jaspreet Kaur Bhui, Santosh Kumar Vipparthi, Girdhari Singh:
EXPERTNet: Exigent Features Preservative Network for Facial Expression Recognition. 21:1-21:8 - Ranjan Mondal, Bhabatosh Chanda:
Anomaly Detection using Context Dependent Optical Flow. 22:1-22:8 - Srijan Das, Kaustubh Sakhalkar, Michal Koperski, François Brémond:
Spatio-Temporal Grids for Daily Living Action Recognition. 23:1-23:6 - Avishek Bhattacharjee, Samik Banerjee, Sukhendu Das:
SpoofNET: Resolving Facial Makeup based Spoofs. 24:1-24:9 - Sumukh Bansal, Aditya Tatu:
Lie Bodies Based Deformation Transfer. 25:1-25:8 - Avishek Bhattacharjee, Samik Banerjee, Sukhendu Das:
DP-GAN: Dual Pathway Generative Adversarial Network for Face Recognition in Degraded Scenarios. 26:1-26:9 - Snehal Shete, Srikant Srinivasan, Seyed Vahid Mirnezami, Baskar Ganapathysubramanian, Patrick S. Schnable, Timothy A. Gonsalves:
An automated tassel detection and trait extraction pipeline to support high-throughput field imaging of maize. 27:1-27:9 - Saptakatha Adak, Sukhendu Das:
VidSeg-GAN: Generative Adversarial Network for Video Object Segmentation Tasks. 28:1-28:9 - Sayanti Bardhan, Shibu Jacob:
Regularized Random Walk Ranking for Co-Saliency Detection in images. 29:1-29:8 - K. Sairam, Jayanta Mukherjee, Amit Patra, Partha Pratim Das:
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis. 30:1-30:9 - Mohit Sharma, Vijay Natarajan:
On-Demand Augmentation of Contour Trees. 31:1-31:8 - Rishubh Parihar, Aniket Dashpute, Prem Kalra:
Scene Adaptive Cosmetic Makeup Transfer. 32:1-32:7 - Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Learning to Read by Spelling: Towards Unsupervised Text Recognition. 33:1-33:10 - Akshayvarun Subramanya, Konda Reddy Mopuri, R. Venkatesh Babu:
BatchOut: Batch-level feature augmentation to improve robustness to adversarial examples. 34:1-34:8 - Sukesh Adiga V, Jayanthi Sivaswamy:
Shared Encoder based Denoising of Optical Coherence Tomography Images. 35:1-35:8 - Alphin J. Thottupattu, Shivin Yadav, Avinash Sharma:
Non-rigid Registration using Spectral Graph Wavelet Features. 36:1-36:6 - Ashish Goyal, Neha Bhargava, Subhasis Chaudhuri, Rajbabu Velmurugan:
Hierarchical Deep Network for Group Discovery and Multi-level Activity Recognition. 37:1-37:7 - Sandeep Narayan Parameswaran, Sukhendu Das:
A Bottom-Up and Top-Down Approach for Image Captioning using Transformer. 38:1-38:9 - A. Sasithradevi, S. Mohamed Mansoor Roomi, M. Maheesha:
Shot Boundary Detection in Videos Using Saliency based Statistical Model. 39:1-39:7 - Pavan Sandula, Manish Okade:
Compressed domain zoom motion detection and classification based on application of local ternary patterns on block motion vectors. 40:1-40:8 - Sudip Das, Partha Sarathi Mukherjee, Ujjwal Bhattacharya:
Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian. 41:1-41:9 - Kushal Borkar, Snehasis Mukherjee:
Video Dehazing using LMNN with respect to Augmented MRF. 42:1-42:9 - Doney Alex, Zishan Sami, Sumandeep Banerjee, Subrat Panda:
Cluster Loss for Person Re-Identification. 43:1-43:8 - Harsh Jain, Chandan Vurdigere Nataraj, Dinesh Babu Jayagopi:
Rash Driving Detection Using a Frontal View Camera in Cars. 44:1-44:7 - Kankana Roy, Rajiv R. Sahay:
Dynamic Gesture Recognition with Pose-based CNN Features derived from videos using LSTM. 45:1-45:9 - Rahul Roy, Susmita Ghosh, Ashish Ghosh:
Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine. 46:1-46:8 - Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh, Swapnil Daga, Nahas Pareekutty, K. Madhava Krishna, Balaraman Ravindran, Brojeshwar Bhowmick:
Learning to Prevent Monocular SLAM Failure using Reinforcement Learning. 47:1-47:9 - Monika Mathur, Nidhi Goel:
Dual Domain Approach for Colour Enhancement of Underwater Images. 48:1-48:6 - Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky, Sriganesh Madhvanath:
Fast and Generalisable License Plate Re-identification using Neural Embedding of Fisher Vectors. 49:1-49:9 - Saikat Sarkar, Amlan Chakrabarti, Dipti Prasad Mukherjee:
Estimation of Ball Possession Statistics in Soccer Video. 50:1-50:8 - Arka Ujjal Dey, A. H. Abdul Hafez, Gaurav Harit:
Greedy Gaussian Process Regression Applied to Object Categorization and Regression. 51:1-51:8 - Shashaank M. Aswatha, Vishnu Saini, Jayanta Mukherjee, Prabir K. Biswas, Subhas Aikat, Arundhati Misra:
Unsupervised Detection of Surface Mine Sites using Sentinel Multi-spectral Imagery and Dual-polarimetric SAR Data. 52:1-52:8 - Anisha Pal, Shourya Jaiswal, Swarnendu Ghosh, Nibaran Das, Mita Nasipuri:
SegFast: A Faster SqueezeNet based Semantic Image Segmentation Technique using Depth-wise Separable Convolutions. 53:1-53:7 - Soumabha Bhowmick, Jayanta Mukherjee, Alok Kanti Deb:
An incremental topological map building using monocular vision. 54:1-54:8 - Ekagra Ranjan, Soumava Paul, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman, Debdoot Sheet:
Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain. 55:1-55:8 - Mansi Sharma:
An Integrated Optimization Approach for Depth Map Enhancement on Special Riemannian Manifold. 56:1-56:9 - Sayan Banerjee, Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
Image Co-segmentation using Graph Convolution Neural Network. 57:1-57:9 - Ajin Joy, Joseph Suresh Paul:
A Rapid Non-Linear Diffusion Compressed Sensing parallel MR Image Reconstruction. 58:1-58:8 - Udit Shrivastava, M. V. Joshi:
Automated Multiclass Diagnosis of Diabetic Retinopathy using Hierarchical Learning. 59:1-59:7 - Shankar Setty, Sindhu B. Hegde, Supriya Satyappanavar, Uma Mudenagudi:
Evaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects. 60:1-60:9 - Srimanta Mandal, Kuldeep Purohit, A. N. Rajagopalan:
Color Image Super Resolution in Real Noise. 61:1-61:9 - Arpan Gupta, Sakthi Balan Muthiah:
Temporal Cricket Stroke Localization from Untrimmed Highlight Videos. 62:1-62:9 - Hiteshi Jain, Gaurav Harit:
Leveraging information from imperfect examples: Common action sequence mining from a mix of incorrect performances. 63:1-63:8 - Udyan Khurana, Parikshit Sakurikar, P. J. Narayanan:
SLFT: A physically accurate framework for Tracing Synthetic Light Fields. 64:1-64:9 - Vinay Kaushik, Prerana Mukherjee, Brejesh Lall:
Nrityantar: Pose oblivious Indian classical dance sequence classification system. 65:1-65:7 - Shruti Sharma, Santanu Chaudhury, Jayadeva, Snigdha Bhagat:
Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries: A Bayesian Perspective. 66:1-66:8 - Bindu Verma, Ayesha Choudhary:
Dynamic Hand Gesture Recognition using Convolutional Neural Network with RGB-D Fusion. 67:1-67:8 - Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga:
Geometry of Deep Generative Models for Disentangled Representations. 68:1-68:8 - Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas:
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. 69:1-69:9 - Debaditya Roy, Gaddam Sreedatta Sanjay Bharath, Mani Kumar T., C. Krishna Mohan:
Tracking rapid body deformation using sparse representation of deep features. 70:1-70:7 - Shruti Sharma, Santanu Chaudhury, Jayadeva:
Temporal Modeling of EEG Signals using Block Sparse Variational Bayes Framework. 71:1-71:7 - Sai Sagar Jinka, Avinash Sharma:
SplineNet: B-spline neural network for efficient classification of 3D data. 72:1-72:8 - Vignesh Prasad, Dipanjan Das, Brojeshwar Bhowmick:
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences. 73:1-73:9 - Priya Mariam Raju, Deepak Mishra, Gorthi Rama Krishna Sai Subrahmanyam:
Bag of Visual Words based Correlation Filter Tracker (BoVW-CFT). 74:1-74:9 - Riki Kudo, Motoi Iwata, Masakazu Iwamura, Koichi Kise:
Improvement of Trademark Retrieval Using Pseudo Relevance Feedback. 75:1-75:8 - Kunal Chelani, Chitturi Sidhartha, Venu Madhav Govindu:
Towards Automated Floorplan Generation. 76:1-76:8 - Sidharth Gautam, Tapan Kumar Gandhi, Bijaya K. Panigrahi:
Single image dehazing using image boundary constraint and nearest neighborhood optimization. 77:1-77:5 - Narayan Vetrekar, Ramachandra Raghavendra, Kiran B. Raja, Rajendra S. Gad, Christoph Busch:
Disguise Face Recognition Based On Spectral Imaging. 78:1-78:9 - Satendra Pal Singh, Gaurav Bhatnagar:
A Chaos Based Robust and Secure Image Hashing Framework. 79:1-79:7 - Nayan Joshi, Yogesh Sharma, Parv Parkhiya, Rishabh Khawad, K. Madhava Krishna, Brojeshwar Bhowmick:
Integrating Objects into Monocular SLAM: Line Based Category Specific Models. 80:1-80:9
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