1 code implementation • 20 Apr 2024 • Shyam Varahagiri, Aryaman Sinha, Shiv Ram Dubey, Satish Kumar Singh
Furthermore, to have high classification performance, there should be a strong interaction between the HSI token and the class (CLS) token.
no code implementations • 27 Jan 2024 • Trinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh, Abdenour Hadid
Facial super-resolution/hallucination is an important area of research that seeks to enhance low-resolution facial images for a variety of applications.
no code implementations • 27 Jan 2024 • Ayush Dubey, Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu
Unsupervised image retrieval aims to learn the important visual characteristics without any given level to retrieve the similar images for a given query image.
no code implementations • 4 Dec 2023 • Neeraj Baghel, Shiv Ram Dubey, Satish Kumar Singh
Motivated from the success of transformers in language and vision applications, we propose a SRTransGAN for image super-resolution using transformer based GAN.
no code implementations • 20 Oct 2023 • Neeraj Baghel, Shiv Ram Dubey, Satish Kumar Singh
The results of the proposed model is improved on an average for $4\times$ super-resolution by 21. 66% in PNSR score and 11. 59% in SSIM score, as compared to the best competitive models.
no code implementations • 17 Feb 2023 • Shiv Ram Dubey, Satish Kumar Singh
This paper presents a comprehensive survey on the developments and advancements in GANs utilizing the Transformer networks for computer vision applications.
no code implementations • 14 Feb 2023 • Laxman Kumarapu, Shiv Ram Dubey, Snehasis Mukherjee, Parkhi Mohan, Sree Pragna Vinnakoti, Subhash Karthikeya
In order to alleviate this problem and to facilitate the research on selfie face images, we develop a challenging Wild Selfie Dataset (WSD) where the images are captured from the selfie cameras of different smart phones, unlike existing datasets where most of the images are captured in controlled environment.
no code implementations • 9 Jan 2023 • Naveen Kumar Karnam, Anish Chand Turlapaty, Shiv Ram Dubey, Balakrishna Gokaraju
The state-of-theart classification accuracy on five FAABOS categories is 83:21% by using the SVM classifier with the third order polynomial kernel using energy feature and auto regressive feature set ensemble.
1 code implementation • 12 Oct 2022 • Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
In this paper, we propose a novel AdaNorm based SGD optimizers by correcting the norm of gradient in each iteration based on the adaptive training history of gradient norm.
no code implementations • 1 Oct 2022 • Bulla Rajesh, Nandakishore Dusa, Mohammed Javed, Shiv Ram Dubey, P. Nagabhushan
The first model is directly trained with JPEG compressed DCT images (compressed domain) to generate the compressed images from text descriptions.
1 code implementation • 19 Jul 2022 • Bytasandram Yaswanth Reddy, Shiv Ram Dubey, Rakesh Kumar Sanodiya, Ravi Ranjan Prasad Karn
Existing knowledge distillation methods use logits and other features of the deep (teacher) model and as knowledge for the compact (student) model, which requires the teacher's network to be fine-tuned on the context in parallel with the student model on the context.
1 code implementation • 19 Jul 2022 • Sumanth Sadu, Shiv Ram Dubey, SR Sreeja
However, the existing optimizers are not able to maintain a zero mean in the first-order moment and struggle with optimization.
1 code implementation • 12 May 2022 • S. H. Shabbeer Basha, Debapriya Tula, Sravan Kumar Vinakota, Shiv Ram Dubey
Later, in the second stage, the redundant filters are pruned from the fine-tuned CNN to decrease the network's complexity for the target task while preserving the performance.
1 code implementation • 22 Feb 2022 • CH Sarvani, Mrinmoy Ghorai, Shiv Ram Dubey, SH Shabbeer Basha
Even after pruning the filters from convolutional layers of LeNet-5 drastically (i. e. from 20, 50 to 2, 3, respectively), only a small accuracy drop of 0. 52\% is observed.
no code implementations • 4 Jan 2022 • Bulla Rajesh, Abhishek Kumar Gupta, Ayush Raj, Mohammed Javed, Shiv Ram Dubey
Handwritten word recognition from document images using deep learning is an active research area in the field of Document Image Analysis and Recognition.
no code implementations • 3 Dec 2021 • Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Sunny Manchanda
Specifically, we train with original input and output modalities and inject a few epochs of training for translation from input to semantic map.
Generative Adversarial Network Image-to-Image Translation +2
1 code implementation • 29 Sep 2021 • Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
The most popular and common non-linearity layers are activation functions (AFs), such as Logistic Sigmoid, Tanh, ReLU, ELU, Swish and Mish.
1 code implementation • 26 Sep 2021 • Shiv Ram Dubey, Satish Kumar Singh, Wei-Ta Chu
We utilize the pre-trained ViT on ImageNet as the backbone network and add the hashing head.
1 code implementation • 26 Sep 2021 • Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh, Bidyut Baran Chaudhuri
Overall, we observe very promising performance improvement of existing optimizers with the proposed AdaInject approach.
no code implementations • 26 Sep 2021 • Satya Rajendra Singh, Roshan Reddy Yedla, Shiv Ram Dubey, Rakesh Sanodiya, Wei-Ta Chu
Moreover, the computation of low and high frequency components using fixed filters further avoids the overfitting.
1 code implementation • 27 May 2021 • Kumarapu Laxman, Shiv Ram Dubey, Baddam Kalyan, Satya Raj Vineel Kojjarapu
We provide the code of MSG U-Net model at https://github. com/laxmaniron/MSG-U-Net.
Generative Adversarial Network Image-to-Image Translation +1
no code implementations • 21 May 2021 • Satya Rajendra Singh, Shiv Ram Dubey, Shruthi MS, Sairathan Ventrapragada, Saivamshi Salla Dasharatha
A joint supervised learning for Siamese network and unsupervised learning for Autoencoder is performed.
1 code implementation • 21 May 2021 • Anirudh Ambati, Shiv Ram Dubey
Chest X-Ray (CXR) testing can be a fast, scalable, and non-invasive method.
1 code implementation • 1 Feb 2021 • Swalpa Kumar Roy, Juan M. Haut, Mercedes E. Paoletti, Shiv Ram Dubey, and Antonio Plaza
A different classifier from the generator and the discriminator is used in the 3D-HyperGAMO model, which is trained using both original and generated samples to {determine} the classes of newly generated samples to which they actually belong.
no code implementations • 30 Jan 2021 • S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari, Shiv Ram Dubey, Snehasis Mukherjee
First, we train the model and select the filter pairs with redundant filters in each pair.
1 code implementation • 20 Dec 2020 • Jayendra Kantipudi, Shiv Ram Dubey, Soumendu Chakraborty
It is widely used in several computer vision problems.
no code implementations • 7 Dec 2020 • Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey
The proposed model takes advantage of spatial-temporal attention and channel attention together, to learn deeper fine-grained subtle features for classification of emotions.
no code implementations • 23 Nov 2020 • Shiv Ram Dubey
The categorization of existing state-of-the-art methods from different perspectives is also performed for greater understanding of the progress.
no code implementations • 30 Oct 2020 • Roshan Reddy Yedla, Shiv Ram Dubey
In this letter, we study the performance of CNN models over the high and low frequency information of the images.
1 code implementation • 25 Apr 2020 • S. H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari, Snehasis Mukherjee, Shiv Ram Dubey
The experimental results obtained in this study depict that tuning of the pre-trained CNN layers with the knowledge from the target dataset confesses better transfer learning ability.
1 code implementation • 13 Feb 2020 • Kancharagunta Kishan Babu, Shiv Ram Dubey
However, the images can be captured in such scenarios using Near-Infrared (NIR) and Thermal (THM) cameras.
no code implementations • 22 Jan 2020 • S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee
Fine-tuning the newly learned (target-dependent) FC layers leads to state-of-the-art performance, according to the experiments carried out in this research.
1 code implementation • 15 Jan 2020 • Kancharagunta Kishan Babu, Shiv Ram Dubey
The proposed CDGAN method outperforms the state-of-the-art methods when compared over the three baseline Image-to-Image transformation datasets.
no code implementations • 5 Dec 2019 • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
It is also used over widely studied face recognition problem.
no code implementations • 19 Oct 2019 • Abhishek Singh, Anubhav Garg, Jinan Zhou, Shiv Ram Dubey, Debo Dutta
Neural Architecture Search (NAS) represents a class of methods to generate the optimal neural network architecture and typically iterate over candidate architectures till convergence over some particular metric like validation loss.
1 code implementation • 12 Sep 2019 • Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri
In this paper, a novel optimizer is proposed based on the difference between the present and the immediate past gradient (i. e., diffGrad).
1 code implementation • 27 Aug 2019 • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey, Snehasis Mukherjee
The Visual Question Answering (VQA) task combines challenges for processing data with both Visual and Linguistic processing, to answer basic `common sense' questions about given images.
no code implementations • 9 Aug 2019 • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
Various loss functions such as Cross-Entropy, Angular-Softmax and ArcFace have been introduced to learn the weights of network for face recognition.
1 code implementation • 27 Mar 2019 • Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey, Snehasis Mukherjee
This paper proposes two 3D-CNN methods: MicroExpSTCNN and MicroExpFuseNet, for spontaneous facial micro-expression recognition by exploiting the spatiotemporal information in CNN framework.
Facial Expression Recognition Micro Expression Recognition +1
1 code implementation • 18 Feb 2019 • Swalpa Kumar Roy, Gopal Krishna, Shiv Ram Dubey, Bidyut. B. Chaudhuri
This letter proposes a Hybrid Spectral Convolutional Neural Network (HybridSN) for HSI classification.
Ranked #1 on Hyperspectral Image Classification on Salinas Scene
1 code implementation • 21 Jan 2019 • S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee
To automate the process of learning a CNN architecture, this paper attempts at finding the relationship between Fully Connected (FC) layers with some of the characteristics of the datasets.
2 code implementations • 11 Jan 2019 • Kishan Babu Kancharagunta, Shiv Ram Dubey
Most of the research focuses over the suitable objective function for image-to-image transformation.
1 code implementation • 1 Jan 2019 • Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey
Face recognition is one of the most widely publicized feature in the devices today and hence represents an important problem that should be studied with the utmost priority.
2 code implementations • 1 Jan 2019 • Swalpa Kumar Roy, Suvojit Manna, Shiv Ram Dubey, Bidyut Baran Chaudhuri
The proposed LiSHT is non-parametric and tackles the dying gradient problem.
1 code implementation • 30 Sep 2018 • S. H. Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee
The results of the proposed RCCNet model are compared with five state-of-the-art CNN models in terms of the accuracy, weighted average F1 score and training time.
no code implementations • 30 Sep 2018 • Shiv Ram Dubey, Snehasis Mukherjee
Multiple face recognition in unconstrained environment is a challenging task, due to the variation of view-point, scale, pose, illumination and expression of the face images.
no code implementations • 8 May 2018 • Chaitanya Nagpal, Shiv Ram Dubey
Precise detection of spoofed faces should be on the high priority to make face based identity recognition and access control robust against possible attacks.
1 code implementation • 16 Apr 2018 • Vamshi Krishna Repala, Shiv Ram Dubey
The unsupervised depth estimation is the recent trend by utilizing the binocular stereo images to get rid of depth map ground truth.
no code implementations • 2 Apr 2018 • Shiv Ram Dubey, Soumendu Chakraborty
It is observed that the AB-ReLU outperforms the ReLU when used with a pre-trained VGGFace model over the face datasets.
no code implementations • 28 Feb 2018 • Shiv Ram Dubey, Snehasis Mukherjee
The proposed local directional order pattern (LDOP) for a particular pixel is computed by finding the relationship between the center pixel and local directional order indexes.
no code implementations • 26 Nov 2017 • Swalpa Kumar Roy, Bhabatosh Chanda, Bidyut. B. Chaudhuri, Dipak Kumar Ghosh, Shiv Ram Dubey
In this approach, a jet space representation of a texture image is derived from a set of derivatives of Gaussian (DtGs) filter responses up to second order, so called local jet vectors (LJV), which also satisfy the Scale Space properties.
no code implementations • 20 Sep 2017 • Shiv Ram Dubey
Very promising performance is observed using the proposed descriptor over very appealing face databases as compared to the existing face descriptors.
no code implementations • 16 Sep 2017 • Shiv Ram Dubey
In order to increase the discriminative power of the local descriptors, some researchers converted the raw image into multiple images with the help of some high and low pass frequency filters, then the local descriptors are computed over each filtered image and finally concatenated into a single descriptor.
no code implementations • 23 Dec 2014 • Shiv Ram Dubey, Anand Singh Jalal
The economic and production losses in agricultural industry worldwide are due to the presence of diseases in the several kinds of fruits.
no code implementations • 20 May 2014 • Shiv Ram Dubey, Anand Singh Jalal
Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide.