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Day 0: 18th Dec. Venue: Himalaya Building, IIIT Hyderabad | ||||
3
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Complete details of Workshop programs and Tutorials are available on the corresponding pages | ||||
4
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Time | Tutorials | Session | Workshops (Run in parallel) | |
5
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8:00 - 9:00 | Registration, Breakfast | |||
6
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9:00 - 10:30 |
Tutorial 1 Session 1 |
Workshops: Session 1 | MedImage, WCVA, WDAR, WDH | |
7
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10:30 - 11:00
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Tea Break | |||
8
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11:00 - 1:00 |
Tutorial 1 Session 2 |
Workshops: Session 2 | MedImage, WCVA, WDAR, WDH | |
9
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1:00 - 2:00 | Lunch | |||
10
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2:00 - 3:30 |
Tutorial 1 Session 3 |
Workshops: Session 3 | MedImage, WCVA, WDAR, WDH | |
11
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3:30 - 4:00 | Tea Break | |||
12
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4:00 - 6:00 |
Tutorial 1 Session 4 |
Workshops: Session 4 | MedImage, WCVA, WDAR, WDH | |
13
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14
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Day 1: 19th Dec. Venue: ISB Hyderabad | ||||
15
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Time | Session (Theme) @Venue |
Paper ID | Speaker / Author | Title |
16
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8:00 - 9:00 | @ Corridor | Registration, Breakfast | ||
17
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9:00 - 10:00 |
Plenary 1
@ Khemka |
Peter Wonka (Professor, KAUST) |
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18
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10:00 - 10:30
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@ Corridor | Tea Break | ||
19
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10:30 - 10:50
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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
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10:50 - 11:10
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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
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11:10 - 11:22
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15 | Neeladrishekhar Kanjilal and Parag Chaudhuri | Real-time Simulation of Human Musculature | |
22
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11:22 - 11:34
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56 | Mansi Sharma | An Integrated Optimization Approach for Depth Map Enhancement on Special Riemannian Manifold | |
23
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11:34 - 11:46
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64 | Udyan Khurana, Parikshit Sakurikar and P. J. Narayanan | SLFT: A Physically Accurate Framework for Tracing Synthetic Light Fields | |
24
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11:46 - 11:58
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73 | Sai Sagar and Avinash Sharma | SplineNet: B-Spline Neural Network for efficient classification of 3D data | |
25
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12:00 - 12:45 |
Poster Highlights 1
(Geometry and Visualization) @ Khemka |
25 | Sumukh Bansal and Aditya Tatu | Lie Bodies Based Deformation Transfer |
26
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31 | Mohit Sharma and Vijay Natarajan | On-Demand Augmentation of Contour Trees | ||
27
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36 | Alphin Thottupattu, Shivin Yadav and Avinash Sharma | Non-rigid Registration using Spectral Graph Wavelet features | ||
28
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54 | Soumabha Bhowmick, Jayanta Mukherjee and Alok Kanti Deb | An incremental tolpological map building algorithm using monocular vision | ||
29
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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
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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
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9 | Kamireddy Sai Suma, Gedela Aditya and Snehasis Mukherjee | Activity Recognition in Egocentric Videos Using Bag of Key Action Units | ||
32
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13 | Shobhanjana Kalita, Arindam Karmakar and Shyamanta Hazarika | A Temporal Activity Graph Kernel for Human Activity Classification | ||
33
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23 | Srijan Das, Kaustubh Sakhalkar, Michal Koperski and Francois Bremond | Spatio-Temporal Grids for Daily Living Action Recognition | ||
34
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32 | Aniket Dashpute, Rishubh Parihar and Prem Kalra | Scene Adaptive Cosmetic Makeup Transfer | ||
35
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37 | Ashish Goyal, Neha Bhargava, Subhasis Chaudhuri and Rajbabu Velmurugan | Hierarchical Deep Network for Group Discovery and Multi-level Activity Recognition | ||
36
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41 | Sudip Das, Partha Sarathi Mukherjee and Ujjwal Bhattacharya | Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian | ||
37
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43 | Doney Alex, Zishan Sami, Sumandeep Banerjee and Subrat Panda | Cluster Loss for Person Re-Identification | ||
38
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45 | Kankana Roy and Rajiv Sahay | Dynamic Gesture Recognition with Pose-based CNN Features derived from videos using LSTM | ||
39
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63 | Hiteshi Jain and Gaurav Harit | Leveraging information from imperfect examples: Common action sequence mining from a mix of incorrect performances | ||
40
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66 | Vinay Kaushik, Prerana Mukherjee and Brejesh Lall | Nrityantar: Pose oblivious Indian classical dance classification | ||
41
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68 | Bindu Verma and Ayesha Choudhary | Dynamic Hand Gesture Recognition using Convolutional Neural Networks with RGB-D Fusion | ||
42
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79 | Narayan Vetrekar, Raghavendra Ramachandra, Kiran Raja, Rajendra Gad and Christoph Busch | Disguise Face Recognition based on Spectral Imaging | ||
43
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12:45 - 2:00 | @ Atrium | Lunch | ||
44
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2:00 - 3:00 |
Plenary 2
@ Khemka |
Bernt Schiele
(Professor, Max-Planck Institute) |
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45
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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
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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
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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
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3:52 - 4:04 | 24 | Avishek Bhattacharjee, Samik Banerjee and Sukhendu Das | SpoofNET: Resolving Facial Makeup based Spoofs | |
49
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4:05 - 5:30 | @ Atrium | Tea Break | ||
50
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Poster 1 (Geometry & Visualization; Face, Body and Action) @ Atrium |
Poster Session - 1 | |||
51
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5:30 - 6:00 |
DDA 1
@Khemka |
Presentation: IUPRAI Doctorial Dissertation Award Winner: 2017 | ||
52
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6:00 - 6:45 | Panel Discussion @Khemka |
Panel Discussion | ||
53
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54
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Day 2: 20th Dec. Venue: ISB Hyderabad | ||||
55
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Time | Session (Theme) @Venue |
Paper ID | Speaker / Author | Title |
56
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8:00 - 9:00 | @ Corridor | Breakfast | ||
57
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9:00 - 10:00 |
Plenary 3
@ Khemka |
Tinne Tuytelaars
(Professor, KU Leuven) |
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58
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10:00 - 10:30
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@ Corridor | Tea Break | ||
59
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10:30 - 10:50
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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
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10:50 - 11:10
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61 | Srimanta Mandal, Kuldeep Purohit and Rajagopalan Ambasamudram | Color Image Super Resolution in Real Noise | |
61
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11:10 - 11:22
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42 | Kushal Borkar and Snehasis Mukherjee | Video Dehazing using LMNN with respect to Augmented MRF | |
62
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11:22 - 11:34
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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
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11:34 - 11:46
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62 | Arpan Gupta and Sakthi Muthiah | Temporal Cricket Stroke Localization from Untrimmed Highlight Videos | |
64
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11:46 - 11:58
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67 | Shruti Sharma, Santanu Chaudhary, Jayadeva and Snigdha Bhagat | Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries: A Bayesian Perspective | |
65
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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
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18 | Saurabh Kumar and Subhasis Chaudhuri | A Fast Method for Very Low Bit-Rate Coding of Hyperspectral Images | ||
67
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22 | Ranjan Mondal and Bhabotosh Chanda | Anomaly Detection using Context Dependent Optical Flow | ||
68
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29 | S. Bardhan and Shibu Jacob | Regularized Random Walk Ranking for Co-Saliency Detection in images | ||
69
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39 | Sasithradevi Anbalagan, Md Mansoor Roomi and M Mahisha | Shot Boundary Detection in Videos Using Saliency based Statistical Model | ||
70
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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
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48 | Monika Mathur and Nidhi Taneja | Dual domain approach for colour enhancement of underwater images | ||
72
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72 | Shruti Sharma and Santanu Chaudhary and Jayadeva | Temporal Modeling of EEG Signals using Block Sparse Variational Bayes Framework | ||
73
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75 | Priya Mariam Raju, Deepak Mishra and Gorthi Rama Krishna Sai Subrahmanyam | Bag of Visual Words based Correlation Filter Tracker(BoVW-CFT) | ||
74
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78 | Sidharth Gautam, Tapan Gandhi and Bijaya Ketan Panigrahi | Single image dehazing using image boundary constraint and nearest neighborhood optimization | ||
75
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80 | Satendra Singh and Gaurav Bhatnagar | A Chaos Based Robust and Secure Image Hashing Framework | ||
76
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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
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4 | Vijay John, Swarn Rathour and Seiichi Mita | Vision-based Steering Angle Prediction by the Fusion of Depth and Intensity Deep Features | ||
78
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14 | Srikrishna Varadarajan and Muktabh Mayank Srivastava | Weakly Supervised Object Localization on grocery shelves using simple FCN and Synthetic Dataset | ||
79
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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
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35 | Sukesh Adiga V. and Jayanthi Sivaswamy | Shared Encoder based Denoising of Optical Coherence Tomography images | ||
81
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50 | Saikat Sarkar, Amlan Chakrabarti and Dipti Prasad Mukherjee | Estimation of Ball Possession Statistics in Soccer Video | ||
82
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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
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59 | Udit Shrivastava and Manjunath Joshi | Automated Multiclass Diagnosis of Diabetic Retinopathy using Hierarchical Learning | ||
84
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76 | RIki Kudo, Motoi Iwata, Masakazu Iwamura, and Koichi Kise | Improvement of Trademark Retrieval Using Pseudo Relevance Feedback | ||
85
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77 | Kunal Chelani, Sidhartha Chitturi and Venu Madhav Govindu | Towards Automated Floorplan Generation | ||
86
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12:45 - 2:00 | @ Atrium | Lunch | ||
87
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2:00 - 3:00 |
Plenary 4
@ Khemka |
P. Anandan (CEO, Wadhwai AI) |
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88
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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
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3:20 - 3:40 | 58 | Ajin Joy, and Joseph Suresh Paul | A Rapid Non-Linear Diffusion Compressed Sensing parallel MR Image Reconstruction | |
90
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3:40 - 3:52 | 44 | Harsh Jain, Chandan Nataraj and Dinesh Babu J. | Rash Driving Detection using a Frontal View Camera in Cars | |
91
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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
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4:05 - 5:30 | @ Atrium | Tea Break | ||
93
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Poster 2 (DL + SIP; Applications, Medical) @ Atrium |
Poster Session - 2 | |||
94
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5:30 - 6:00 |
DDA 2
@Khemka |
Presentation: IUPRAI Doctorial Dissertation Award Winner: 2018 | ||
95
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6:00 - 6:45 | Meeting @Khemka |
IUPRAI General Body Meeting | ||
96
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6:45 onwards
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Banquet @ Khemka, Lawns |
Banquet | ||
97
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98
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Day 3: 21st Dec. Venue: ISB Hyderabad | ||||
99
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Time | Session (Theme) @Venue |
Paper ID | Speaker / Author | Title |
100
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8:00 - 9:00 | @ Corridor | Breakfast | ||
101
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9:00 - 10:00 |
Plenary 5
@ Khemka |
Ali Eslami
(Research Scientist, Google DeepMind) |
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102
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10:00 - 10:30
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@ Corridor | Tea Break | ||
103
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10:30 - 10:50
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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
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10:50 - 11:10
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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
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11:10 - 11:22
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5 | Omkar Gune, Meet Vora, Biplab Banerjee and Subhasis Chaudhuri | Zero-shot Learning using Graph Regularized Latent Discriminative Cross-domain Triplets | |
106
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11:22 - 11:34
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28 | Saptakatha Adak and Sukhendu Das | VidSeg-GAN: Generative Adversarial Network for Video Object Segmentation Tasks | |
107
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11:34 - 11:46
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33 | Ankush Gupta, Andrea Vedaldi and Andrew Zisserman | Learning to Read by Spelling: Towards Unsupervised Text Recognition | |
108
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11:46 - 11:58
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51 | Arka Ujjal Dey; Gaurav Harit and A. H. Abdul Hafez | Greedy Gaussian Process Regression Applied to Object Categorization and Regression | |
109
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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
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3 | T M Feroz Ali, Kalpesh Patel, Rajbabu Velmurugan and Subhasis Chaudhuri | Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification | ||
111
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6 | Akshay Dudhane; Subrahmanyam Murala and Abhinav Dhall | LEDNet: Deep Network for Single Image Haze Removal | ||
112
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11 | Ashish Mehta, Adithya Subramanian and Anbumani Subramanian | Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision | ||
113
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12 | Amit More and Subhasis Chaudhuri | A Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos | ||
114
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16 | Fateme Bahri, Moein Shakeri and Nilanjan Ray | Online Illumination Invariant Moving Object Detection by Generative Neural Network | ||
115
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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
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26 | Avishek Bhattacharjee, Samik Banerjee and Sukhendu Das | DP-GAN: Dual Pathway Generative Adversarial Network for Face Recognition in degraded scenarios | ||
117
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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
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34 | Akshayvarun Subramanya, Konda Reddy Mopuri and Venkatesh Babu Radhakrishnan | BatchOut: Batch-level feature augmentation to improve robustness to adversarial example | ||
119
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46 | Rahul Roy, Susmita Ghosh and Ashish Ghosh | Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine | ||
120
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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
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57 | Sayan Banerjee, Avik Hati, Subhasis Chaudhuri and Rajbabu Velmurugan | Image Co-segmentation using Graph Convolution Neural Network | ||
122
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60 | Shankar Setty, Sindhu Hegde, Supriya Satyappanavar, and Uma Mudenagudi | Evaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects | ||
123
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69 | Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand and Pavan Turaga | Geometry of Deep Generative Models for Disentangled Representations | ||
124
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12:45 - 2:00 | @ Atrium | Lunch | ||
125
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2:00 - 4:00 |
Vision India
@ Khemka |
Vision India | ||
126
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4:00 - 4:15 | @ Atrium | Tea Break | ||
127
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4:15 - 6:00 | Poster 3 (Learning and GANs) @ Atrium |
Poster Session - 3 | ||
128
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4:15 - 7:15 |
Tutorial 2
@Khemka |
Carlos Castillo (Research Scientist, University of Maryland) |
Implementing DCNNs | |
129
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4:15 - 6:00 | DC @LT |
Doctoral Consortium | ||
130
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131
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Day 4: 22nd Dec. Special Event: Hyderabad AI Symposium Venue: Infosys Campus Hyderabad |