ABCDE
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Day 0: 18th Dec. Venue: Himalaya Building, IIIT Hyderabad
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Complete details of Workshop programs and Tutorials are available on the corresponding pages
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TimeTutorialsSessionWorkshops (Run in parallel)
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8:00 - 9:00Registration, Breakfast
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9:00 - 10:30Tutorial 1
Session 1
Workshops: Session 1MedImage, WCVA, WDAR, WDH
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10:30 - 11:00
Tea Break
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11:00 - 1:00Tutorial 1
Session 2
Workshops: Session 2MedImage, WCVA, WDAR, WDH
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1:00 - 2:00Lunch
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2:00 - 3:30Tutorial 1
Session 3
Workshops: Session 3MedImage, WCVA, WDAR, WDH
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3:30 - 4:00Tea Break
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4:00 - 6:00Tutorial 1
Session 4
Workshops: Session 4MedImage, WCVA, WDAR, WDH
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Day 1: 19th Dec. Venue: ISB Hyderabad
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TimeSession
(Theme)
@Venue
Paper IDSpeaker / AuthorTitle
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8:00 - 9:00@ FoyerRegistration, Breakfast
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9:00 - 10:00
Plenary 1
@ Khemka
Peter Wonka
(Professor, KAUST)
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10:00 - 10:30
@ FoyerTea Break
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10:30 - 10:50
Oral 1
(Geometry and Visualization)

@ Khemka
74Vignesh Prasad, Dipanjan Das and Brojeshwar BhowmickEpipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences
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10:50 - 11:10
81Nayan Joshi, Yogesh Sharma, Madhava Krishna, Brojeshwar Bhowmick, Rishabh Khawad and Parv ParkhiyaIntegrating Objects into Monocular SLAM: Line Based Category Specific Models
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11:10 - 11:22
15Neeladrishekhar Kanjilal and Parag ChaudhuriReal-time Simulation of Human Musculature
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11:22 - 11:34
56Mansi SharmaAn Integrated Optimization Approach for Depth Map Enhancement on Special Riemannian Manifold
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11:34 - 11:46
64Udyan Khurana, Parikshit Sakurikar and P. J. NarayananSLFT: A Physically Accurate Framework for Tracing Synthetic Light Fields
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11:46 - 11:58
73Sai Sagar and Avinash SharmaSplineNet: B-Spline Neural Network for efficient classification of 3D data
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12:00 - 12:45Poster Highlights 1
(Geometry and Visualization)

@ Khemka
25Sumukh Bansal and Aditya TatuLie Bodies Based Deformation Transfer
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31Mohit Sharma and Vijay NatarajanOn-Demand Augmentation of Contour Trees
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36Alphin Thottupattu, Shivin Yadav and Avinash SharmaNon-rigid Registration using Spectral Graph Wavelet features
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54Soumabha Bhowmick, Jayanta Mukherjee and Alok Kanti DebAn incremental tolpological map building algorithm using monocular vision
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71Debaditya Roy, Sanjay Bharath Gaddam Sreedatta, Mani Kumar T. and C. Krishna MohanTracking rapid body deformation using sparse representation of deep features
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Poster Highlights 2
(Face, Body and Action)

@ Khemka
8Muhammed Fasil C. and Subhasis ChaudhuriMoving Average Recurrent Neural Network Model for Video-based Person Re-Identification
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9Kamireddy Sai Suma, Gedela Aditya and Snehasis MukherjeeActivity Recognition in Egocentric Videos Using Bag of Key Action Units
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13Shobhanjana Kalita, Arindam Karmakar and Shyamanta HazarikaA Temporal Activity Graph Kernel for Human Activity Classification
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23Srijan Das, Kaustubh Sakhalkar, Michal Koperski and Francois BremondSpatio-Temporal Grids for Daily Living Action Recognition
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32Aniket Dashpute, Rishubh Parihar and Prem KalraScene Adaptive Cosmetic Makeup Transfer
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37Ashish Goyal, Neha Bhargava, Subhasis Chaudhuri and Rajbabu VelmuruganHierarchical Deep Network for Group Discovery and Multi-level Activity Recognition
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41Sudip Das, Partha Sarathi Mukherjee and Ujjwal BhattacharyaSeek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian
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43Doney Alex, Zishan Sami, Sumandeep Banerjee and Subrat PandaCluster Loss for Person Re-Identification
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45Kankana Roy and Rajiv SahayDynamic Gesture Recognition with Pose-based CNN Features derived from videos using LSTM
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63Hiteshi Jain and Gaurav HaritLeveraging information from imperfect examples: Common action sequence mining from a mix of incorrect performances
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66Vinay Kaushik, Prerana Mukherjee and Brejesh LallNrityantar: Pose oblivious Indian classical dance classification
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68Bindu Verma and Ayesha ChoudharyDynamic Hand Gesture Recognition using Convolutional Neural Networks with RGB-D Fusion
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79Narayan Vetrekar, Raghavendra Ramachandra, Kiran Raja, Rajendra Gad and Christoph BuschDisguise Face Recognition based on Spectral Imaging
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12:45 - 2:00@ AtriumLunch
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2:00 - 3:00
Plenary 2
@ Khemka
Bernt Schiele
(Professor, Max-Planck Institute)
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3:00 - 3:20Oral 2
(Face, Body and Action)

@ Khemka
10Javed Imran and R BalasubramanianMultimodal Egocentric Activity Recognition Using Multi-Stream CNN
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3:20 - 3:4070Avisek Lahiri, Abhinav Agarwalla and Prabir BiswasUnsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach
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3:40 - 3:5221Santosh Kumar Vipparthi, Monu Verma, Jaspreet Kaur and Girdhari SinghEXPERTNet: Exigent Features Preservative Network for Facial Expression Recognition
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3:52 - 4:0424Avishek Bhattacharjee, Samik Banerjee and Sukhendu DasSpoofNET: Resolving Facial Makeup based Spoofs
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4:05 - 5:30@ AtriumTea Break
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Poster 1
(Geometry & Visualization; Face, Body and Action)
@ Atrium
Poster Session - 1
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5:30 - 6:00
DDA 1
@Khemka
Presentation: IUPRAI Doctorial Dissertation Award Winner: 2017
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6:00 - 6:45Panel Discussion
@Khemka
Panel Discussion
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Day 2: 20th Dec. Venue: ISB Hyderabad
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TimeSession
(Theme)
@Venue
Paper IDSpeaker / AuthorTitle
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8:00 - 9:00@ FoyerBreakfast
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9:00 - 10:00
Plenary 3
@ Khemka
Tinne Tuytelaars
(Professor, KU Leuven)
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10:00 - 10:30
@ FoyerTea Break
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10:30 - 10:50
Oral 3
(Deep Learning meets Signal/Image Processing)

@ Khemka
19Spoorthi GE, Subrahmanyam Gorthi and Gorthi Rama Krishna Sai SubrahmanyamA Deep Learning-based Model for Phase Unwrapping
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10:50 - 11:10
61Srimanta Mandal, Kuldeep Purohit and Rajagopalan AmbasamudramColor Image Super Resolution in Real Noise
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11:10 - 11:22
42Kushal Borkar and Snehasis MukherjeeVideo Dehazing using LMNN with respect to Augmented MRF
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11:22 - 11:34
49Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky and Sriganesh MadhvanathTransferable and Fast Licence Plate Re-identification using a Neural Embedding of Fisher Vectors
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11:34 - 11:46
62Arpan Gupta and Sakthi MuthiahTemporal Cricket Stroke Localization from Untrimmed Highlight Videos
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11:46 - 11:58
67Shruti Sharma, Santanu Chaudhary, Jayadeva and Snigdha BhagatSparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries: A Bayesian Perspective
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12:00 - 12:45Poster Highlights 3
(Deep Learning meets Signal/Image Processing)

@ Khemka
7Debanjan Sadhya, Akshay Agarwal and R BalasubramanianPerfectly Secure Shamir's Secret Sharing Scheme for Privacy Preserving Image Processing Over Cloud
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18Saurabh Kumar and Subhasis ChaudhuriA Fast Method for Very Low Bit-Rate Coding of Hyperspectral Images
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22Ranjan Mondal and Bhabotosh ChandaAnomaly Detection using Context Dependent Optical Flow
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29S. Bardhan and Shibu JacobRegularized Random Walk Ranking for Co-Saliency Detection in images
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39Sasithradevi Anbalagan, Md Mansoor Roomi and M MahishaShot Boundary Detection in Videos Using Saliency based Statistical Model
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40Pavan Sandula and Manish OkadeCompressed domain zoom motion detection and classification based on application of local ternary patterns on block motion vectors
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48Monika Mathur and Nidhi TanejaDual domain approach for colour enhancement of underwater images
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72Shruti Sharma and Santanu Chaudhary and JayadevaTemporal Modeling of EEG Signals using Block Sparse Variational Bayes Framework
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75Priya Mariam Raju, Deepak Mishra and Gorthi Rama Krishna Sai SubrahmanyamBag of Visual Words based Correlation Filter Tracker(BoVW-CFT)
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78Sidharth Gautam, Tapan Gandhi and Bijaya Ketan PanigrahiSingle image dehazing using image boundary constraint and nearest neighborhood optimization
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80Satendra Singh and Gaurav BhatnagarA Chaos Based Robust and Secure Image Hashing Framework
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Poster Highlights 4
(Applications, Medical)

@ Khemka
2Annapurna Sharma and Dinesh Babu J.Handwritten Essay Grading on Mobiles using MDLSTM Model and Word Embeddings
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4Vijay John, Swarn Rathour and Seiichi MitaVision-based Steering Angle Prediction by the Fusion of Depth and Intensity Deep Features
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14Srikrishna Varadarajan and Muktabh Mayank SrivastavaWeakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset
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17Anupama Arun, Thomas James Thomas, Sheeba Rani J. and Gorthi Rama Krishna Sai SubrahmanyamVariable Patch Dictionaries for efficient Compressed Sensing based MRI Reconstruction
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35Sukesh Adiga V. and Jayanthi SivaswamyShared Encoder based Denoising of Optical Coherence Tomography images
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50Saikat Sarkar, Amlan Chakrabarti and Dipti Prasad MukherjeeEstimation of Ball Possession Statistics in Soccer Video
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52Shashaank Aswatha, Vishnu Saini, Jayanta Mukherjee, Prabir Biswas, Subhas Aikat and Arundhati MisraUnsupervised Detection of Surface Mine Sites using Sentinel Multi-spectral Imagery and Dual-polarimetric SAR Data
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59Udit Shrivastava and Manjunath JoshiAutomated Multiclass Diagnosis of Diabetic Retinopathy using Hierarchical Learning
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76RIki Kudo, Motoi Iwata, Masakazu Iwamura, and Koichi KiseImprovement of Trademark Retrieval Using Pseudo Relevance Feedback
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77Kunal Chelani, Sidhartha Chitturi and Venu Madhav GovinduTowards Automated Floorplan Generation
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12:45 - 2:00@ AtriumLunch
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2:00 - 3:00
Plenary 4
@ Khemka
P. Anandan
(CEO, Wadhwai AI)
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3:00 - 3:20Oral 4
(Applications, Medical)

@ Khemka
27Snehal Shete, Srikant Srinivasan, Seyed Vahid Mirnezami, Baskar Ganapathysubramanian, Patrick Schnable and Timothy GonsalvesAn automated tassel detection and trait extraction pipeline to support high-throughput field imaging of maize
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3:20 - 3:4058Ajin Joy, and Joseph Suresh PaulA Rapid Non-Linear Diffusion Compressed Sensing parallel MR Image Reconstruction
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3:40 - 3:5244Harsh Jain, Chandan Nataraj and Dinesh Babu J.Rash Driving Detection using a Frontal View Camera in Cars
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3:52 - 4:0455Ekagra Ranjan, Soumava Paul, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman and Debdoot SheetJointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain
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4:05 - 5:30@ AtriumTea Break
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Poster 2
(DL + SIP; Applications, Medical)
@ Atrium
Poster Session - 2
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5:30 - 6:00
DDA 2
@Khemka
Presentation: IUPRAI Doctorial Dissertation Award Winner: 2018
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6:00 - 6:45Meeting
@Khemka
IUPRAI General Body Meeting
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6:45 onwards
Banquet
@ Khemka, Lawns
Banquet
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Day 3: 21st Dec. Venue: ISB Hyderabad
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TimeSession
(Theme)
@Venue
Paper IDSpeaker / AuthorTitle
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8:00 - 9:00@ FoyerBreakfast
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9:00 - 10:00
Plenary 5
@ Khemka
Ali Eslami
(Research Scientist, Google DeepMind)
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10:00 - 10:30
@ FoyerTea Break
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10:30 - 10:50
Oral 5
(Learning and GANs)

@ Khemka
38Sandeep Narayan Parameswaran and Sukhendu DasA Bottom-Up and Top-Down Approach for Image Captioning using Transformer
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10:50 - 11:10
47Vignesh Prasad, Karmesh Yadav, Saurabh Singh, Swapnil Daga, Nahas Pareekutty, Madhava Krishna, Balaraman Ravindran and Brojeshwar BhowmickLearning to prevent Monocular SLAM failure using Reinforcement Learning
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11:10 - 11:22
5Omkar Gune, Meet Vora, Biplab Banerjee and Subhasis ChaudhuriZero-shot Learning using Graph Regularized Latent Discriminative Cross-domain Triplets
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11:22 - 11:34
28Saptakatha Adak and Sukhendu DasVidSeg-GAN: Generative Adversarial Network for Video Object Segmentation Tasks
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11:34 - 11:46
33Ankush Gupta, Andrea Vedaldi and Andrew ZissermanLearning to Read by Spelling: Towards Unsupervised Text Recognition
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11:46 - 11:58
51Arka Ujjal Dey; Gaurav Harit and A. H. Abdul HafezGreedy Gaussian Process Regression Applied to Object Categorization and Regression
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12:00 - 12:45Poster Highlights 5
(Learning and GANs)

@ Khemka
1Adarsh Jamadandi, Sunidhi Kotturshettar and Uma MudenagudiPredGAN - a deep multi-scale video prediction framework for anomaly detection in videos
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3T M Feroz Ali, Kalpesh Patel, Rajbabu Velmurugan and Subhasis ChaudhuriMultiple Kernel Fisher Discriminant Metric Learning for Person Re-identification
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6Akshay Dudhane; Subrahmanyam Murala and Abhinav DhallLEDNet: Deep Network for Single Image Haze Removal
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11Ashish Mehta, Adithya Subramanian and Anbumani SubramanianLearning End-to-end Autonomous Driving using Guided Auxiliary Supervision
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12Amit More and Subhasis ChaudhuriA Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos
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16Fateme Bahri, Moein Shakeri and Nilanjan RayOnline Illumination Invariant Moving Object Detection by Generative Neural Network
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20Swetha V.C., Deepak Mishra and Gorthi Rama Krishna Sai SubrahmanyamScale and Rotation Corrected CNNs ( SRC-CNNs ) for Scale and Rotation Invariant Character Recognition
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26Avishek Bhattacharjee, Samik Banerjee and Sukhendu DasDP-GAN: Dual Pathway Generative Adversarial Network for Face Recognition in degraded scenarios
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30Sai Ram Kasanagottu, Jayanta Mukherjee, Amit Patra and Partha DasHSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
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34Akshayvarun Subramanya, Konda Reddy Mopuri and Venkatesh Babu RadhakrishnanBatchOut: Batch-level feature augmentation to improve robustness to adversarial example
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46Rahul Roy, Susmita Ghosh and Ashish GhoshSalient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine
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53Anisha Pal, Shourya Jaiswal, Swarnendu Ghosh, Nibaran Das and Mita NasipuriSegFast: Using Depthwise Separable Convolutions and SqueezeNet to speed up Semantic Image Segmentation
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57Sayan Banerjee, Avik Hati, Subhasis Chaudhuri and Rajbabu VelmuruganImage Co-segmentation using Graph Convolution Neural Network
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60Shankar Setty, Sindhu Hegde, Supriya Satyappanavar, and Uma MudenagudiEvaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects
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69Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand and Pavan TuragaGeometry of Deep Generative Models for Disentangled Representations
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12:45 - 2:00@ AtriumLunch
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2:00 - 4:00
Vision India
@ Khemka
Vision India
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4:00 - 4:15@ AtriumTea Break
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4:15 - 6:00Poster 3
(Learning and GANs)
@ Atrium
Poster Session - 3
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4:15 - 7:15
Tutorial 2
@Khemka
Carlos Castillo
(Research Scientist, University of Maryland)
Implementing DCNNs
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4:15 - 6:00DC
@LT
Doctoral Consortium
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Day 4: 22nd Dec. Special Event: Hyderabad AI Symposium Venue: Infosys Campus Hyderabad