Program Schedule
September 28, 2018 (Friday) | ||
3:00 pm – 4:30 pm |
MATLAB Workshop Introduction to Deep Learning for Computer Vision Applications using MATLAB Addressing Challenges in Deep Learning Workflows using MATLAB Rishu Gupta, Senior Application Engineer, MathWorks India Pawankumar Fakatkar, Education Technical Evangelist, MathWorks India |
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4:30 pm – 4:45 pm | Tea Break | |
4:45 pm – 6:15 pm | MATLAB Workshop continues | |
September 29, 2018 (Saturday) | ||
9:00 am – 9.50 am | Registration | |
10:00 am –10:30 am | Inauguration | |
10:30 am – 11.00 am | Tea | |
11:00 am – 12:00 noon | Plenary Talk 1: The Four Seasons of Artificial Intelligence Prof. Venu Govindaraju, The State University of New York at Buffalo, USA Chair: Prof. Bidyut Baran Chaudhuri | |
12:00 pm –12:45 pm | Plenary Talk 2: Affine-invariant Local Feature Representation for Keypoint Matching Prof. Hironobu Fujiyoshi, Chubu University, Japan Chair: Prof. Bidyut Baran Chaudhuri | |
12:45 pm – 1:45 pm | Lunch | |
1:45 pm – 3:30 pm | Oral Session 1 (7 papers) | Image Restoration, Reconstruction and Retrieval 11, 13, 23, 33, 69, 178, 198 |
Chair: Dr. Balasubramanian Raman | ||
11 |
Improving Image Quality and Convergence Rate of Perona-Malik Diffusion based Compressed Sensing MR Image Reconstruction by Gradient Correction | |
13 |
Blind Quality Assessment of PFA Affected Images based on Chromatic Eigenvalue Ratio | |
23 |
On the Choice of Coil Combination Weights for Phase-Sensitive GRAPPA Reconstruction in Multi-channel SWI | |
33 |
Efficient Sparse to Dense Stereo Matching Technique | |
69 |
Two View Triangulation: A Novel Approach using Sampson's Distance | |
178 |
A Bag of Constrained Visual Words Model for Image Representation | |
198 |
Comparison of Reconstruction Methods for Multi-compartmental Model in Diffusion Tensor imaging | |
3:30 pm – 3:45 pm | Tea – to continue with Poster Session 1 | |
3:30 pm – 4:30 pm | Poster Session 1 (11 papers) | Image Restoration, Reconstruction and Retrieval \ Object Detection, Tracking and Recognition 15, 80, 89, 99, 121, 124, 153, 160, 166, 192, 205 |
15 |
Video Key Frame Detection using Block Sparse Coding | |
80 |
Human Head Pose and Eye State Detection based Driver Distraction Monitoring System | |
89 |
Vector Based Descriptor Length Reduction using Low Variance Filter | |
99 |
Caption Based Region Extraction in Images | |
121 |
Joint Bit Allocation for 3D Video with Nonlinear Depth Distortion - an SSIM-based Approach | |
124 |
Word Spotting in Cluttered Environment | |
153 |
Robust Single Image Super Resolution Employing ADMM with Plug and Play Prior | |
160 |
Co-Detection in Images using Saliency and Siamese Networks | |
166 |
Trajectory Classification using Feature Selection from Genetic Algorithm | |
192 |
Multi-Scale Image Fusion Scheme based on Gray-Level Edge Maps and Adaptive Weight Maps | |
205 |
Design of Finite Impulse Response Filter with Controlled Ripple using Cuckoo Search Algorithm | |
4:30 pm – 5:00 pm | Industry Session – MathWorks “Are you ready for AI? Is AI ready for you?” | |
5:00 pm – 6:15 pm | Oral Session 2 (5 papers) | Biometrics 14, 28, 77, 81, 97 |
Chair: Dr. Gaurav Bhatnagar | ||
14 |
Investigation on the Muzzle of a Pig as a Biometric for Breed Identification | |
28 |
Fused Spectral Features in Kernel Weighted Collaborative Representation for Gender Classification using Ocular Images | |
77 |
Linear Regression Correlation Filter: An Application to Face Recognition | |
81 |
Discriminative BULBPH Descriptor with KDA for Palmprint Recognition | |
97 |
Remote Multimodal Biometric Authentication using Visual Cryptography | |
7:30 pm – 9:30 pm | Banquet Dinner at Hotel Vijan Mahal | |
September 30, 2018 (Sunday) | ||
9:00 am – 10:45 am | Oral Session 3 (7 papers) | Object Detection, Tracking and Recognition 20, 52, 58, 82, 113, 150, 177 |
Chair: Prof. Ananda Chowdhury | ||
20 |
Robust Detection of Defective Parts using Pattern Matching for Online Machine Vision System | |
52 |
Vehicle Speed Determination and License Plate Localization from Monocular Video Streams | |
58 |
Co-Saliency Detection in Images using Structured Matrix Decomposition and Objectness Prior | |
82 |
Things at Your Desk: A Portable Object Dataset | |
113 |
Object Labeling in 3D from Multiview Scenes using Gaussian-Hermite Moment-Based Depth Map | |
150 |
Target Tracking based upon Dominant Orientation Template and Kalman Filter | |
177 |
Action Recognition from Egocentric Videos using Random Walks | |
10:45 am – 11:30 am | Invited Talk 1: Deep Learning for Augmented Reality Applications Ms. Ramya Hebbalaguppe, TCS Innovation Labs, New Delhi Chair: Prof. Ananda Chowdhury | |
11:30 am – 11:45 am | Tea - to continue with Poster Session 2 | |
11:30 am – 12:15 pm | Poster Session 2 (7 papers ) | Biometrics and Deep Learning Applications 27, 29, 84, 142, 149, 156, 163 |
27 |
Detection of Down Syndrome using Deep Facial Recognition | |
29 |
Face Anti-spoofing based on Specular Feature Projections | |
84 |
A Deep Learning Framework Approach for Urban Area Classification using Remote Sensing Data | |
142 |
L1-Regulated Feature Selection and Classification of Microarray Cancer Data using Deep Learning | |
149 |
Person Identification using Footprint Minutiae | |
156 |
A Comparative Analysis of LGBP and DCLBP-based Methods for Non-frontal Facial Emotion Recognition | |
163 |
Hand Down, Face Up : Innovative Mobile Attendance System using Face Recognition and Deep Learning | |
12:15 pm – 1:15 pm | Oral Session 4 (4 papers) | Deep Learning Applications -1 1, 6, 66, 111 |
Chair: Dr. Amol R.Madane | ||
1 |
CARTOONNET : Recognizing Caricatures of Public Figures | |
6 |
Deep Learning Framework for Detection of an Illicit Drug Abuser using Facial Image | |
66 |
Eigen Vector Orientation Corrected LeNet for Digit Recognition | |
111 |
DeepAttent: Saliency Prediction with Deep Multiscale Residual Network | |
1:15 pm – 2:15 pm | Lunch | |
2:15 pm – 3:15 pm | Oral Session 5 (4 papers) | Deep Learning Applications - 2 118, 119, 154, 184 |
Chair: Dr. Sanjeev Kumar | ||
118 |
A Novel Deep Learning Approach for the Removal of Speckle Noise from Optical Coherence Tomography Images using Gated Convolution Deconvolution Structure | |
119 |
D2ehazing: Real-time Dehazing in Traffic Video Analytics by Fast Dynamic Bilateral Filtering | |
154 |
Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network | |
184 |
Activity Recognition for Indoor Fall Detection in 360-degree Videos using Deep Learning Techniques | |
3:15 pm – 4:00 pm | Invited Talk 2: Deep Neural Networks and It's Robustness Dr Venkatesh Babu, Indian Institute of Science, Bangalore Chair: Dr. Sanjeev Kumar | |
4:00 pm – 4:15 pm | Tea - to continue with Poster Session 3 | |
4:00 pm – 4:45 pm | Poster Session 3 (7 papers) | Deep Learning Applications and Security and Surveillance 46, 73, 125, 135, 136, 144, 148 |
46 |
Classification of Abandoned & Unattended Objects, Identification of Their Owner with Threat Assessment for Visual Surveillance | |
73 |
Recent Advancements in Image-based Prediction Models for Diagnosis of Plant Diseases | |
125 |
Physical Intrusion Detection System using Stereo Video Analytics | |
135 |
Identification of Fraudulent Alteration by Similar Pen Ink in Handwritten Bank Cheque | |
136 |
Faster RCNN - CNN based Joint Model for Bird Part Localization in Images | |
144 |
Image Embedding for Detecting Irregularity | |
148 |
TexFusionNet: An Ensemble of Deep CNN Feature for Texture Classification | |
4:45 pm – 6:15 pm | Oral Session 6 (6 papers) | Security and Surveillance 42, 51, 67, 71, 112, 185 |
Chair: Mr. G. Aravamuthan | ||
42 |
Pose Invariant Face Recognition in Surveillance Scenarios using Extreme Learning Machine based Domain Adaptation | |
51 |
Detecting Face Morphing Attacks with Collaborative Representation of Steerable Scale-Space Features | |
67 |
A Reference based Secure and Robust Zero-watermarking Scheme | |
71 |
Entry-Exit Video Surveillance: A Benchmark Dataset | |
112 |
Copy-move Image Forgery Detection using Gray-tones with Texture Description | |
185 |
A Robust Watermarking Scheme for Copyright Protection | |
7:00 pm – 9:30 pm | Cultural Program in L103 followed by Gala Dinner | |
October 1, 2018 (Monday) | ||
9:00 am – 10:15 am | Oral Session 7 (5 papers) | Medical Image Processing and Remote Sensing 53, 65, 79, 114, 206 |
Chair: Dr. Deepak Mishra | ||
53 |
Retinal Layer Segmentation using Dilated Convolutions | |
65 |
Agriculture Parcel Boundary Detection from Remotely Sensed Images | |
79 |
Storm Tracking using Geo-stationary Lightning Observation Videos | |
114 |
Zernike Moment and Mutual Information based Methods for Multi-modal Image Registration | |
206 |
Robustly Clipped Sub-Equalized Histogram based Cosine Transformed Energy Redistributed Gamma Correction for Satellite Image Enhancement | |
10:15 am –11:00 am | Plenary Talk 3: Latest Applications of Deep Neural Networks to Handwriting Recognition and Identification Prof. Masaki Nakagawa, Tokyo Institute of Agriculture and Technology, Japan Chair: Prof. Aparajita Ojha | |
11:00 am – 11:15 am | Tea - to continue with Poster Session 4 | |
11:00 am – 11:45 am | Poster Session 4 (7 papers) | Classification, Detection and Medical Image Processing 7, 10, 41, 50, 103, 123, 139 |
7 |
Pneumonia Detection on Chest X-Ray using Machine Learning Paradigm | |
10 |
A Quantitative Comparison on the Role of Parameter Selection for Regularization in GRAPPA based Autocalibrating Parallel MRI | |
41 |
Mushroom Classification using Feature based Machine Learning Approach | |
50 |
Diagnosis of Prostate Cancer with Support Vector Machine using Multiwavelength Photoacoustic images | |
103 |
Cell Extraction and Horizontal Scale Correction in Structured Documents | |
123 |
A Modified FCM based Brain Lesion Segmentation Scheme for Medical Images | |
139 |
Structural Analysis of Handwritten Mathematical Expressions | |
Introduction of Challenge and Demonstration by Challenge Participants | ||
11:45 am – 1:15 pm | Oral Session 8 (6 papers) | Recognition, Classification and Clustering 35, 36, 48, 86, 101,146 |
Chair: Dr. Arnav Bhavsar | ||
35 |
Handwritten Numeral Recognition using Polar Histogram of Low-Level Stroke Features | |
36 |
Integrated Semi Supervised Model for Learning and Classification | |
48 |
Enabling Text-line Segmentation in Run-Length Encoded Handwritten Document Image using Entropy Driven Incremental Learning | |
86 |
Image Based Facial Expression Recognition using Local Neighbourhood Difference | |
101 |
Facial Expression Recognition using Improved Adaptive Local Ternary Pattern | |
146 |
Optimal Number of Seed Point Selection Algorithm of Unknown Data set | |
1:15 pm – 1:45 pm | Best paper awards, Challenge Winners Declaration, Next CVIP Venue announcement and Valedictory | |
1:45pm – 2:45 pm | Lunch | |
3:00 pm –7:45 pm | City Tour (Bus will be available at the lunch venue) |