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ORCID12th ICVGIP 2021: Jodhpur, India
- Rama Chellappa, Santanu Chaudhury, Chetan Arora, Parag Chaudhuri, Subhransu Maji:
ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19 - 22, 2021. ACM 2021, ISBN 978-1-4503-7596-2 - Varshaneya V
, S. Balasubramanian, Vineeth Balasubramanian:
Teaching GANs to sketch in vector format. 1:1-1:8 - Sutanu Bera, Prabir Kumar Biswas:
Iterative gradient encoding network using feature co-occurrence loss for single image reflection removal. 2:1-2:8 - Gajjala Viswanatha Reddy, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey:
MERANet: facial micro-expression recognition using 3D residual attention network. 3:1-3:10 - Chippy M. Manu, Sreeni K. G:
MSDNet: a novel multi-stage progressive image dehazing network. 4:1-4:9 - Rahul Bansal, Soma Biswas:
CT-DANN: co-teaching meets DANN for wild unsupervised domain adaptation. 5:1-5:8 - Meher Shashwat Nigam, Avinash Prabhu, Anurag Sahu, Tanvi Karandikar, Puru Gupta, Narasimhan Sai Shankar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna:
Monocular multi-layer layout estimation for warehouse racks. 6:1-6:9 - T. M. Feroz Ali, Subhasis Chaudhuri:
Cross-view kernel similarity metric learning using pairwise constraints for person re-identification. 7:1-7:9 - Ashok L. R, Sreeni K. G:
Abnormality detection and classification of macular diseases from optical coherence tomography images: using feature space comparison. 8:1-8:9 - Mrinal Anand, Nidhin Harilal, Chandan Kumar, Shanmuganathan Raman:
HDRVideo-GAN: deep generative HDR video reconstruction. 9:1-9:9 - Neha Gupta, Samit Ari, Anoop Kumar Mishra:
A novel unsupervised thresholding technique for landsat image change detection. 10:1-10:9 - Latha V, Sreeni K. G:
Deep feature fusion for automated retinal disease detection using OCT images. 11:1-11:8 - Anant Mittal, Priya Aggarwal, Luiz Pessoa, Anubha Gupta:
Robust brain state decoding using bidirectional long short term memory networks in functional MRI. 12:1-12:6 - Neel Trivedi, Anirudh Thatipelli, Ravi Kiran Sarvadevabhatla:
NTU-X: an enhanced large-scale dataset for improving pose-based recognition of subtle human actions. 13:1-13:9 - Sarthak Malik, Puneet Kumar, Balasubramanian Raman:
Towards interpretable facial emotion recognition. 14:1-14:9 - Siladittya Manna, Saumik Bhattacharya, Umapada Pal:
Interpretive self-supervised pre-training: boosting performance on visual medical data. 15:1-15:9 - Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri:
S3 DMT-Net: improving soft sharing based multi-task CNN using task-specific distillation and cross-task interactions. 16:1-16:9 - Prarabdh Raipurkar, Rohil Pal, Shanmuganathan Raman:
HDR-cGAN: single LDR to HDR image translation using conditional GAN. 17:1-17:9 - Ammu R, Rajikha Raja, Neelam Sinha, Jitender Saini:
Analysis of vascular dysregulation caused by infiltrating glioma cells using bold fMRI. 18:1-18:7 - Sowmya Aitha, Sindhu Bollampalli, Ravi Kiran Sarvadevabhatla:
Deformable deep networks for instance segmentation of overlapping multi page handwritten documents. 19:1-19:9 - Ashutosh Soni, Piyush Kanti Bhunre, Partha Bhowmick:
GPU-based centroidal voronoi tessellation using local search on thinnest digital surface. 20:1-20:8 - Arpit Bahety, Rohit Saluja, Ravi Kiran Sarvadevabhatla, Anbumani Subramanian, C. V. Jawahar:
Automatic quantification and visualization of street trees. 21:1-21:9 - Hrishikesh Sharma, Prakhar Pradhan, Balamuralidhar P:
SCNet: a generalized attention-based model for crack fault segmentation. 22:1-22:9 - Sonam Gupta, Arti Keshari, Sukhendu Das:
G3AN++: exploring wide GANs with complementary feature learning for video generation. 23:1-23:9 - Vartika Sengar, Vivek B. S., Karthik Seemakurthy, Jayavardhana Gubbi, Balamuralidhar P:
Multi-task learning based approach for surgical video desmoking. 24:1-24:9 - Anchit Gupta, Faizan Farooq Khan, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Intelligent video editing: incorporating modern talking face generation algorithms in a video editor. 25:1-25:9 - Aryamaan Jain, Jyoti Sunkara, Ishaan N. Shah, Avinash Sharma, Krishnan Sundara Rajan:
Automated tree generation using grammar & particle system. 26:1-26:9 - Seshadri Mazumder, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Translating sign language videos to talking faces. 27:1-27:10 - Prathyusha Akundi, Jayanthi Sivaswamy:
Manifold learning to address catastrophic forgetting. 28:1-28:5 - Shashaank M. Aswatha, Sai Phani Kumar Malladi, Jayanta Mukherjee:
An encoder-decoder based deep architecture for visible to near infrared image transformation. 29:1-29:9 - Darshan Gera, Vikas G. N, S. Balasubramanian:
Handling ambiguous annotations for facial expression recognition in the wild. 30:1-30:9 - Alexy Bhowmick, Sarat Saharia, Shyamanta M. Hazarika:
Enhancing label transfer in non-parametric scene parsing by superpixel-based dense alignment. 31:1-31:9 - Jennil Thiyam, Sanasam Ranbir Singh, Prabin Kumar Bora:
Chart classification: an empirical comparative study of different learning models. 32:1-32:9 - Ramesh Ashok Tabib, T. Santoshkumar, Dikshit Hegde, Adarsh Jamadandi, Uma Mudenagudi:
Modeling nuisance classifier towards class-incremental learning of crowd-sourced data. 33:1-33:7 - Snehith Goud Routhu, Sai Sagar Jinka, Avinash Sharma:
Coarse-to-fine 3D clothed human reconstruction using peeled semantic segmentation context. 34:1-34:9 - P. Sudhakar Reddy, B. S. Raghavendra, A. V. Narasimhadhan:
Magnetic resonance image reconstruction by nullspace based finite rate of innovation framework. 35:1-35:5 - B. Sathya Bama, S. Mohamed Mansoor Roomi, D. Sabari Nathan, M. Senthilarasi, G. Manimala:
Idol dataset: a database on religious idols and its recognition with deep networks. 36:1-36:7 - Kalaivani P, S. Mohamed Mansoor Roomi, D. Sabari Nathan:
HazeNet: does the image have haze? 37:1-37:8 - Suresh Nehra, Tamal Das, Simantini Chakraborty, Prabir K. Biswas, Jayanta Mukhopadhyay:
Disparity based depth estimation using light field camera. 38:1-38:9 - Vinayak Nageli, Rama Krishna Sai Subrahmanyam Gorthi, Arshad Jamal:
SiamRPN++D: improved SiamRPN++ using cascaded detector sensing. 39:1-39:9 - Pulkit Gera, Aakash K. T., Dhawal Sirikonda, P. J. Narayanan:
Neural view synthesis with appearance editing from unstructured images. 40:1-40:9 - Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi:
Feature generation for long-tail classification. 41:1-41:9 - Shyam Krishna, Janmesh Ukey, Dinesh Babu J.:
GAN based indian sign language synthesis. 42:1-42:8 - Green Rosh K. S, Sachin Deepak Lomte, Nikhil Krishnan, B. H. Pawan Prasad:
Attention guided complementary feature integration for latent image recovery from noisy/blurry pairs. 43:1-43:9 - Ahmad Arfeen, Titir Dutta, Soma Biswas:
Selective mixing and voting network for semi-supervised domain generalization. 44:1-44:9 - Anik Goyal, Soma Biswas:
Few-shot classification without forgetting of event-camera data. 45:1-45:8 - Sandika Biswas, Sanjana Sinha, Dipanjan Das, Brojeshwar Bhowmick:
Realistic talking face animation with speech-induced head motion. 46:1-46:9 - Arnab Poddar, Akash Chakraborty, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
TexRGAN: a deep adversarial framework for text restoration from deformed handwritten documents. 47:1-47:9 - Kiruthika S., Masilamani V., Pratik Joshi:
Fusion of image quality assessment and transfer learning for COVID19 detection using CT scan image. 48:1-48:9 - Sonia Das, Sukadev Meher, Upendra Kumar Sahoo:
Discriminative multiscale CNN network for smartphone based robust gait recognition. 49:1-49:8
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