	A	B	C	D	E
1
2	Day 0: 18th Dec. Venue: Himalaya Building, IIIT Hyderabad
3	Complete details of Workshop programs and Tutorials are available on the corresponding pages
4	Time	Tutorials		Session	Workshops (Run in parallel)
5	8:00 - 9:00	Registration, Breakfast
6	9:00 - 10:30	Tutorial 1 Session 1		Workshops: Session 1	MedImage, WCVA, WDAR, WDH
7	10:30 - 11:00	Tea Break
8	11:00 - 1:00	Tutorial 1 Session 2		Workshops: Session 2	MedImage, WCVA, WDAR, WDH
9	1:00 - 2:00	Lunch
10	2:00 - 3:30	Tutorial 1 Session 3		Workshops: Session 3	MedImage, WCVA, WDAR, WDH
11	3:30 - 4:00	Tea Break
12	4:00 - 6:00	Tutorial 1 Session 4		Workshops: Session 4	MedImage, WCVA, WDAR, WDH
13
14	Day 1: 19th Dec. Venue: ISB Hyderabad
15	Time	Session (Theme) @Venue	Paper ID	Speaker / Author	Title
16	8:00 - 9:00	@ Foyer	Registration, Breakfast
17	9:00 - 10:00	Plenary 1 @ Khemka		Peter Wonka (Professor, KAUST)
18	10:00 - 10:30	@ Foyer	Tea Break
19	10:30 - 10:50	Oral 1 (Geometry and Visualization) @ Khemka	74	Vignesh Prasad, Dipanjan Das and Brojeshwar Bhowmick	Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences
20	10:50 - 11:10		81	Nayan Joshi, Yogesh Sharma, Madhava Krishna, Brojeshwar Bhowmick, Rishabh Khawad and Parv Parkhiya	Integrating Objects into Monocular SLAM: Line Based Category Specific Models
21	11:10 - 11:22		15	Neeladrishekhar Kanjilal and Parag Chaudhuri	Real-time Simulation of Human Musculature
22	11:22 - 11:34		56	Mansi Sharma	An Integrated Optimization Approach for Depth Map Enhancement on Special Riemannian Manifold
23	11:34 - 11:46		64	Udyan Khurana, Parikshit Sakurikar and P. J. Narayanan	SLFT: A Physically Accurate Framework for Tracing Synthetic Light Fields
24	11:46 - 11:58		73	Sai Sagar and Avinash Sharma	SplineNet: B-Spline Neural Network for efficient classification of 3D data
25	12:00 - 12:45	Poster Highlights 1 (Geometry and Visualization) @ Khemka	25	Sumukh Bansal and Aditya Tatu	Lie Bodies Based Deformation Transfer
26			31	Mohit Sharma and Vijay Natarajan	On-Demand Augmentation of Contour Trees
27			36	Alphin Thottupattu, Shivin Yadav and Avinash Sharma	Non-rigid Registration using Spectral Graph Wavelet features
28			54	Soumabha Bhowmick, Jayanta Mukherjee and Alok Kanti Deb	An incremental tolpological map building algorithm using monocular vision
29			71	Debaditya Roy, Sanjay Bharath Gaddam Sreedatta, Mani Kumar T. and C. Krishna Mohan	Tracking rapid body deformation using sparse representation of deep features
30		Poster Highlights 2 (Face, Body and Action) @ Khemka	8	Muhammed Fasil C. and Subhasis Chaudhuri	Moving Average Recurrent Neural Network Model for Video-based Person Re-Identification
31			9	Kamireddy Sai Suma, Gedela Aditya and Snehasis Mukherjee	Activity Recognition in Egocentric Videos Using Bag of Key Action Units
32			13	Shobhanjana Kalita, Arindam Karmakar and Shyamanta Hazarika	A Temporal Activity Graph Kernel for Human Activity Classification
33			23	Srijan Das, Kaustubh Sakhalkar, Michal Koperski and Francois Bremond	Spatio-Temporal Grids for Daily Living Action Recognition
34			32	Aniket Dashpute, Rishubh Parihar and Prem Kalra	Scene Adaptive Cosmetic Makeup Transfer
35			37	Ashish Goyal, Neha Bhargava, Subhasis Chaudhuri and Rajbabu Velmurugan	Hierarchical Deep Network for Group Discovery and Multi-level Activity Recognition
36			41	Sudip Das, Partha Sarathi Mukherjee and Ujjwal Bhattacharya	Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian
37			43	Doney Alex, Zishan Sami, Sumandeep Banerjee and Subrat Panda	Cluster Loss for Person Re-Identification
38			45	Kankana Roy and Rajiv Sahay	Dynamic Gesture Recognition with Pose-based CNN Features derived from videos using LSTM
39			63	Hiteshi Jain and Gaurav Harit	Leveraging information from imperfect examples: Common action sequence mining from a mix of incorrect performances
40			66	Vinay Kaushik, Prerana Mukherjee and Brejesh Lall	Nrityantar: Pose oblivious Indian classical dance classification
41			68	Bindu Verma and Ayesha Choudhary	Dynamic Hand Gesture Recognition using Convolutional Neural Networks with RGB-D Fusion
42			79	Narayan Vetrekar, Raghavendra Ramachandra, Kiran Raja, Rajendra Gad and Christoph Busch	Disguise Face Recognition based on Spectral Imaging
43	12:45 - 2:00	@ Atrium	Lunch
44	2:00 - 3:00	Plenary 2 @ Khemka		Bernt Schiele (Professor, Max-Planck Institute)
45	3:00 - 3:20	Oral 2 (Face, Body and Action) @ Khemka	10	Javed Imran and R Balasubramanian	Multimodal Egocentric Activity Recognition Using Multi-Stream CNN
46	3:20 - 3:40		70	Avisek Lahiri, Abhinav Agarwalla and Prabir Biswas	Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach
47	3:40 - 3:52		21	Santosh Kumar Vipparthi, Monu Verma, Jaspreet Kaur and Girdhari Singh	EXPERTNet: Exigent Features Preservative Network for Facial Expression Recognition
48	3:52 - 4:04		24	Avishek Bhattacharjee, Samik Banerjee and Sukhendu Das	SpoofNET: Resolving Facial Makeup based Spoofs
49	4:05 - 5:30	@ Atrium	Tea Break
50	4:05 - 5:30	Poster 1 (Geometry & Visualization; Face, Body and Action) @ Atrium	Poster Session - 1
51	5:30 - 6:00	DDA 1 @Khemka	Presentation: IUPRAI Doctorial Dissertation Award Winner: 2017
52	6:00 - 6:45	Panel Discussion @Khemka	Panel Discussion
53
54	Day 2: 20th Dec. Venue: ISB Hyderabad
55	Time	Session (Theme) @Venue	Paper ID	Speaker / Author	Title
56	8:00 - 9:00	@ Foyer	Breakfast
57	9:00 - 10:00	Plenary 3 @ Khemka		Tinne Tuytelaars (Professor, KU Leuven)
58	10:00 - 10:30	@ Foyer	Tea Break
59	10:30 - 10:50	Oral 3 (Deep Learning meets Signal/Image Processing) @ Khemka	19	Spoorthi GE, Subrahmanyam Gorthi and Gorthi Rama Krishna Sai Subrahmanyam	A Deep Learning-based Model for Phase Unwrapping
60	10:50 - 11:10		61	Srimanta Mandal, Kuldeep Purohit and Rajagopalan Ambasamudram	Color Image Super Resolution in Real Noise
61	11:10 - 11:22		42	Kushal Borkar and Snehasis Mukherjee	Video Dehazing using LMNN with respect to Augmented MRF
62	11:22 - 11:34		49	Abhinav Kumar, Shantanu Gupta, Vladimir Kozitsky and Sriganesh Madhvanath	Transferable and Fast Licence Plate Re-identification using a Neural Embedding of Fisher Vectors
63	11:34 - 11:46		62	Arpan Gupta and Sakthi Muthiah	Temporal Cricket Stroke Localization from Untrimmed Highlight Videos
64	11:46 - 11:58		67	Shruti Sharma, Santanu Chaudhary, Jayadeva and Snigdha Bhagat	Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries: A Bayesian Perspective
65	12:00 - 12:45	Poster Highlights 3 (Deep Learning meets Signal/Image Processing) @ Khemka	7	Debanjan Sadhya, Akshay Agarwal and R Balasubramanian	Perfectly Secure Shamir's Secret Sharing Scheme for Privacy Preserving Image Processing Over Cloud
66			18	Saurabh Kumar and Subhasis Chaudhuri	A Fast Method for Very Low Bit-Rate Coding of Hyperspectral Images
67			22	Ranjan Mondal and Bhabotosh Chanda	Anomaly Detection using Context Dependent Optical Flow
68			29	S. Bardhan and Shibu Jacob	Regularized Random Walk Ranking for Co-Saliency Detection in images
69			39	Sasithradevi Anbalagan, Md Mansoor Roomi and M Mahisha	Shot Boundary Detection in Videos Using Saliency based Statistical Model
70			40	Pavan Sandula and Manish Okade	Compressed domain zoom motion detection and classification based on application of local ternary patterns on block motion vectors
71			48	Monika Mathur and Nidhi Taneja	Dual domain approach for colour enhancement of underwater images
72			72	Shruti Sharma and Santanu Chaudhary and Jayadeva	Temporal Modeling of EEG Signals using Block Sparse Variational Bayes Framework
73			75	Priya Mariam Raju, Deepak Mishra and Gorthi Rama Krishna Sai Subrahmanyam	Bag of Visual Words based Correlation Filter Tracker(BoVW-CFT)
74			78	Sidharth Gautam, Tapan Gandhi and Bijaya Ketan Panigrahi	Single image dehazing using image boundary constraint and nearest neighborhood optimization
75			80	Satendra Singh and Gaurav Bhatnagar	A Chaos Based Robust and Secure Image Hashing Framework
76		Poster Highlights 4 (Applications, Medical) @ Khemka	2	Annapurna Sharma and Dinesh Babu J.	Handwritten Essay Grading on Mobiles using MDLSTM Model and Word Embeddings
77			4	Vijay John, Swarn Rathour and Seiichi Mita	Vision-based Steering Angle Prediction by the Fusion of Depth and Intensity Deep Features
78			14	Srikrishna Varadarajan and Muktabh Mayank Srivastava	Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset
79			17	Anupama Arun, Thomas James Thomas, Sheeba Rani J. and Gorthi Rama Krishna Sai Subrahmanyam	Variable Patch Dictionaries for efficient Compressed Sensing based MRI Reconstruction
80			35	Sukesh Adiga V. and Jayanthi Sivaswamy	Shared Encoder based Denoising of Optical Coherence Tomography images
81			50	Saikat Sarkar, Amlan Chakrabarti and Dipti Prasad Mukherjee	Estimation of Ball Possession Statistics in Soccer Video
82			52	Shashaank Aswatha, Vishnu Saini, Jayanta Mukherjee, Prabir Biswas, Subhas Aikat and Arundhati Misra	Unsupervised Detection of Surface Mine Sites using Sentinel Multi-spectral Imagery and Dual-polarimetric SAR Data
83			59	Udit Shrivastava and Manjunath Joshi	Automated Multiclass Diagnosis of Diabetic Retinopathy using Hierarchical Learning
84			76	RIki Kudo, Motoi Iwata, Masakazu Iwamura, and Koichi Kise	Improvement of Trademark Retrieval Using Pseudo Relevance Feedback
85			77	Kunal Chelani, Sidhartha Chitturi and Venu Madhav Govindu	Towards Automated Floorplan Generation
86	12:45 - 2:00	@ Atrium	Lunch
87	2:00 - 3:00	Plenary 4 @ Khemka		P. Anandan (CEO, Wadhwai AI)
88	3:00 - 3:20	Oral 4 (Applications, Medical) @ Khemka	27	Snehal Shete, Srikant Srinivasan, Seyed Vahid Mirnezami, Baskar Ganapathysubramanian, Patrick Schnable and Timothy Gonsalves	An automated tassel detection and trait extraction pipeline to support high-throughput field imaging of maize
89	3:20 - 3:40		58	Ajin Joy, and Joseph Suresh Paul	A Rapid Non-Linear Diffusion Compressed Sensing parallel MR Image Reconstruction
90	3:40 - 3:52		44	Harsh Jain, Chandan Nataraj and Dinesh Babu J.	Rash Driving Detection using a Frontal View Camera in Cars
91	3:52 - 4:04		55	Ekagra Ranjan, Soumava Paul, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman and Debdoot Sheet	Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain
92	4:05 - 5:30	@ Atrium	Tea Break
93	4:05 - 5:30	Poster 2 (DL + SIP; Applications, Medical) @ Atrium	Poster Session - 2
94	5:30 - 6:00	DDA 2 @Khemka	Presentation: IUPRAI Doctorial Dissertation Award Winner: 2018
95	6:00 - 6:45	Meeting @Khemka	IUPRAI General Body Meeting
96	6:45 onwards	Banquet @ Khemka, Lawns	Banquet
97
98	Day 3: 21st Dec. Venue: ISB Hyderabad
99	Time	Session (Theme) @Venue	Paper ID	Speaker / Author	Title
100	8:00 - 9:00	@ Foyer	Breakfast
101	9:00 - 10:00	Plenary 5 @ Khemka		Ali Eslami (Research Scientist, Google DeepMind)
102	10:00 - 10:30	@ Foyer	Tea Break
103	10:30 - 10:50	Oral 5 (Learning and GANs) @ Khemka	38	Sandeep Narayan Parameswaran and Sukhendu Das	A Bottom-Up and Top-Down Approach for Image Captioning using Transformer
104	10:50 - 11:10		47	Vignesh Prasad, Karmesh Yadav, Saurabh Singh, Swapnil Daga, Nahas Pareekutty, Madhava Krishna, Balaraman Ravindran and Brojeshwar Bhowmick	Learning to prevent Monocular SLAM failure using Reinforcement Learning
105	11:10 - 11:22		5	Omkar Gune, Meet Vora, Biplab Banerjee and Subhasis Chaudhuri	Zero-shot Learning using Graph Regularized Latent Discriminative Cross-domain Triplets
106	11:22 - 11:34		28	Saptakatha Adak and Sukhendu Das	VidSeg-GAN: Generative Adversarial Network for Video Object Segmentation Tasks
107	11:34 - 11:46		33	Ankush Gupta, Andrea Vedaldi and Andrew Zisserman	Learning to Read by Spelling: Towards Unsupervised Text Recognition
108	11:46 - 11:58		51	Arka Ujjal Dey; Gaurav Harit and A. H. Abdul Hafez	Greedy Gaussian Process Regression Applied to Object Categorization and Regression
109	12:00 - 12:45	Poster Highlights 5 (Learning and GANs) @ Khemka	1	Adarsh Jamadandi, Sunidhi Kotturshettar and Uma Mudenagudi	PredGAN - a deep multi-scale video prediction framework for anomaly detection in videos
110			3	T M Feroz Ali, Kalpesh Patel, Rajbabu Velmurugan and Subhasis Chaudhuri	Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification
111			6	Akshay Dudhane; Subrahmanyam Murala and Abhinav Dhall	LEDNet: Deep Network for Single Image Haze Removal
112			11	Ashish Mehta, Adithya Subramanian and Anbumani Subramanian	Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision
113			12	Amit More and Subhasis Chaudhuri	A Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos
114			16	Fateme Bahri, Moein Shakeri and Nilanjan Ray	Online Illumination Invariant Moving Object Detection by Generative Neural Network
115			20	Swetha V.C., Deepak Mishra and Gorthi Rama Krishna Sai Subrahmanyam	Scale and Rotation Corrected CNNs ( SRC-CNNs ) for Scale and Rotation Invariant Character Recognition
116			26	Avishek Bhattacharjee, Samik Banerjee and Sukhendu Das	DP-GAN: Dual Pathway Generative Adversarial Network for Face Recognition in degraded scenarios
117			30	Sai Ram Kasanagottu, Jayanta Mukherjee, Amit Patra and Partha Das	HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
118			34	Akshayvarun Subramanya, Konda Reddy Mopuri and Venkatesh Babu Radhakrishnan	BatchOut: Batch-level feature augmentation to improve robustness to adversarial example
119			46	Rahul Roy, Susmita Ghosh and Ashish Ghosh	Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine
120			53	Anisha Pal, Shourya Jaiswal, Swarnendu Ghosh, Nibaran Das and Mita Nasipuri	SegFast: Using Depthwise Separable Convolutions and SqueezeNet to speed up Semantic Image Segmentation
121			57	Sayan Banerjee, Avik Hati, Subhasis Chaudhuri and Rajbabu Velmurugan	Image Co-segmentation using Graph Convolution Neural Network
122			60	Shankar Setty, Sindhu Hegde, Supriya Satyappanavar, and Uma Mudenagudi	Evaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects
123			69	Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand and Pavan Turaga	Geometry of Deep Generative Models for Disentangled Representations
124	12:45 - 2:00	@ Atrium	Lunch
125	2:00 - 4:00	Vision India @ Khemka	Vision India
126	4:00 - 4:15	@ Atrium	Tea Break
127	4:15 - 6:00	Poster 3 (Learning and GANs) @ Atrium	Poster Session - 3
128	4:15 - 7:15	Tutorial 2 @Khemka	Carlos Castillo (Research Scientist, University of Maryland)		Implementing DCNNs
129	4:15 - 6:00	DC @LT	Doctoral Consortium
130
131	Day 4: 22nd Dec. Special Event: Hyderabad AI Symposium Venue: Infosys Campus Hyderabad