no code implementations • 8 May 2023 • A V Subramanyam, Niranjan Sundararajan, Vibhu Dubey, Brejesh lall
IIITD-20K comprises of 20, 000 unique identities captured in the wild and provides a rich dataset for text-to-image ReID.
1 code implementation • 27 Feb 2023 • Prashant Pandey, Mustafa Chasmai, Monish Natarajan, Brejesh lall
To this end, we propose a novel unified weakly supervised OVSS pipeline that can perform ZSS, FSS and Cross-dataset segmentation on novel classes without using pixel-level labels for either the base (seen) or the novel (unseen) classes in an inductive setting.
no code implementations • 4 Feb 2023 • Gousia Habib, Tausifa Jan Saleem, Brejesh lall
A number of model compression methods have been proposed in the literature such as weight quantization, weight multiplexing, pruning and Knowledge Distillation (KD).
no code implementations • 21 Dec 2022 • Neeraj Kumar, Ankur Narang, Brejesh lall
A lot of normalization techniques have been proposed but the success of normalization in low resource downstream NLP and speech tasks is limited.
1 code implementation • 7 Oct 2022 • Prashant Pandey, Aleti Vardhan, Mustafa Chasmai, Tanuj Sur, Brejesh lall
We show that our framework is more robust compared to traditional adversarial defense mechanisms such as adversarial training.
no code implementations • 22 Sep 2022 • Sandeep Patel, Ravindra Dhuli, Brejesh lall
In this paper, we use a matrix adaptive filter as the synthesis stage of a Uniform Filter Bank (UFB) to reconstruct the input signal.
1 code implementation • 26 Aug 2022 • Prashant Pandey, Mustafa Chasmai, Tanuj Sur, Brejesh lall
We further demonstrate that while many existing Deep CNN based methods tend to be extremely vulnerable to adversarial attacks, R-PNODE exhibits increased adversarial robustness for a wide array of these attacks.
1 code implementation • 9 Jan 2022 • Prerana Mukherjee, Vinay Kaushik, Ronak Gupta, Ritika Jha, Daneshwari Kankanwadi, Brejesh lall
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks.
no code implementations • 24 Nov 2021 • Bishshoy Das, Milton Mondal, Brejesh lall, Shiv Dutt Joshi, Sumantra Dutta Roy
In standard neural network training, the gradients in the backward pass are determined by the forward pass.
no code implementations • 15 Oct 2021 • Rajesh Kumar, Pimmy Gandotra, Brejesh lall, Arzad A. Kherani, Sudipto Mukherjee
Hence, a method is proposed to estimate the human intent from the high dimensional HG motion signal and reconstruct the signal at the RH to ensure object relocation.
no code implementations • 1 Mar 2021 • Vinay Kaushik, Kartik Jindgar, Brejesh lall
We utilise a ResNet18 encoder, learning features for prediction of both depth and pose.
no code implementations • 19 Feb 2021 • Neeraj Kumar, Srishti Goel, Ankur Narang, Brejesh lall, Mujtaba Hasan, Pranshu Agarwal, Dipankar Sarkar
We propose a novel method OneShotAu2AV to generate an animated video of arbitrary length using an audio clip and a single unseen image of a person as an input.
no code implementations • 14 Dec 2020 • Neeraj Kumar, Srishti Goel, Ankur Narang, Brejesh lall
High quality multi-speaker speech synthesis while considering prosody and in a few shot manner is an area of active research with many real-world applications.
no code implementations • 14 Dec 2020 • Neeraj Kumar, Srishti Goel, Ankur Narang, Brejesh lall
The multi-modal adaptive normalization uses the various features of audio and video such as Mel spectrogram, pitch, energy from audio signals and predicted keypoint heatmap/optical flow and a single image to learn the respective affine parameters to generate highly expressive video.
no code implementations • 19 Nov 2020 • Anushikha Singh, Brejesh lall, B. K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, DJ Christopher
Methods: The proposed work explores the performance of convolutional neural networks (CNNs) for the diagnosis of TB in Indian chest x-ray images.
no code implementations • 19 Nov 2020 • Anushikha Singh, Brejesh lall, B. K. Panigrahi, Anjali Agrawal, Anurag Agrawal, DJ Christopher, Balamugesh Thangakunam
A chest radiograph, commonly called chest x-ray (CxR), plays a vital role in the diagnosis of various lung diseases, such as lung cancer, tuberculosis, pneumonia, and many more.
1 code implementation • 28 Aug 2020 • Ronak Gupta, Prerana Mukherjee, Brejesh lall, Varshul Gupta
We have curated a large, novel Indian heritage monuments dataset comprising of images of historical, cultural and religious importance with subtypes of eras, dynasties and architectural styles.
no code implementations • 2 Jul 2020 • Kanish Garg, Ajeet Kumar Singh, Dorien Herremans, Brejesh lall
This initial image is then improved by conditioning on the text.
no code implementations • 16 May 2020 • Vinay Kaushik, Brejesh lall
Recent advances in end-to-end unsupervised learning has significantly improved the performance of monocular depth prediction and alleviated the requirement of ground truth depth.
no code implementations • 1 May 2020 • Snigdha Bhagat, S. D. Joshi, Brejesh lall
The spectral information in the infrared image is incorporated by adding the feature maps over several layers in the encoder part of the fusion structure, which makes inference on both the visual and infrared images separately.
no code implementations • 10 Jan 2020 • Ronak Gupta, Prashant Anand, Santanu Chaudhury, Brejesh lall, Sanjay Singh
Fall detection holds immense importance in the field of healthcare, where timely detection allows for instant medical assistance.
3 code implementations • 30 Nov 2019 • Jobin Wilson, Amit Kumar Meher, Bivin Vinodkumar Bindu, Santanu Chaudhury, Brejesh lall, Manoj Sharma, Vishakha Pareek
Data abundance along with scarcity of machine learning experts and domain specialists necessitates progressive automation of end-to-end machine learning workflows.
no code implementations • 4 Sep 2019 • Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik, Brejesh lall
Using the RetinaNet model as our base, we modify the anchor scales to better handle the detection of dense distribution and small size of the objects.
2 code implementations • 23 Jun 2019 • Mohit Goyal, Rajan Goyal, Brejesh lall
Since the optimization of SLNNs is still a challenge, we show that using SLAF along with standard activations (like ReLU) can provide performance improvements with only a small increase in number of parameters.
no code implementations • 17 Apr 2019 • Prashant Anand, Ajeet Kumar Singh, Siddharth Srivastava, Brejesh lall
The recent advances in deep learning are mostly driven by availability of large amount of training data.
no code implementations • 8 Apr 2019 • Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh lall
Extensive experiments on data sources obtained in Delhi demonstrate that the proposed adaptive attention based Bidirectional LSTM Network outperforms several baselines for classification and regression models.
no code implementations • 2 Apr 2019 • Prerana Mukherjee, Manoj Sharma, Megh Makwana, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Brejesh lall, Santanu Chaudhury
In this paper, we present a novel end-to-end coupled Denoising based Saliency Prediction with Generative Adversarial Network (DSAL-GAN) framework to address the problem of salient object detection in noisy images.
no code implementations • 2 Apr 2019 • Shiva Azimi, Brejesh lall, Tapan K. Gandhi
Plant Phenomics based on imaging based techniques can be used to monitor the health and the diseases of plants and crops.
no code implementations • 27 Mar 2019 • Siddharth Srivastava, Brejesh lall
The method constitutes a deep network for learning permutation invariant representation of 3D points.
no code implementations • 28 Jan 2019 • Vinay Kaushik, Brejesh lall
Disparity by Block Matching stereo is usually used in applications with limited computational power in order to get depth estimates.
no code implementations • 13 Dec 2018 • Vinay Kaushik, Prerana Mukherjee, Brejesh lall
To circumvent this problem, we construct a pose-oblivious shape signature which is fed to a sequence learning framework.
no code implementations • SEMEVAL 2018 • Bhaskar Kotakonda, Prashanth Gowda, Brejesh lall
This paper discusses the experiments performed for predicting the emotion intensity in tweets using a generalized supervised learning approach.
no code implementations • 7 Mar 2018 • Prerana Mukherjee, Brejesh lall, Snehith Lattupally
Object cosegmentation addresses the problem of discovering similar objects from multiple images and segmenting them as foreground simultaneously.
no code implementations • 4 Dec 2017 • Siddharth Srivastava, Prerana Mukherjee, Brejesh lall, Kamlesh Jaiswal
In this paper we propose an ensemble of local and deep features for object classification.
no code implementations • 4 Dec 2017 • Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh lall
We show that a simple combination of characterness cues help in rejecting the non text regions.
1 code implementation • 17 Oct 2017 • Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qi-Xing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas
We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.
no code implementations • 21 Sep 2017 • Siddharth Srivastava, Swati Bhugra, Brejesh lall, Santanu Chaudhury
Quantification of physiological changes in plants can capture different drought mechanisms and assist in selection of tolerant varieties in a high throughput manner.
no code implementations • 26 Aug 2017 • Siddharth Srivastava, Brejesh lall
3DBS describes keypoints from point clouds with a binary vector resulting in extremely fast matching.
no code implementations • 14 Jun 2017 • Prerana Mukherjee, Brejesh lall, Sarvaswa Tandon
In this paper, we propose a novel object proposal generation scheme by formulating a graph-based salient edge classification framework that utilizes the edge context.
no code implementations • 22 Jan 2017 • Siddharth Srivastava, Gaurav Sharma, Brejesh lall
We test on unknown objects, which were not seen during training, and perform clustering in the learned embedding space of supervoxels to effectively perform novel object discovery.
no code implementations • 10 Oct 2016 • Jobin Wilson, Ram Mohan, Muhammad Arif, Santanu Chaudhury, Brejesh lall
The crux of the problem in KDD Cup 2016 involves developing data mining techniques to rank research institutions based on publications.
no code implementations • 20 May 2015 • Siddharth Srivastava, Prerana Mukherjee, Brejesh lall
In this paper, we propose a novel approach for feature generation by appropriately fusing KAZE and SIFT features.
no code implementations • 25 Feb 2014 • Jobin Wilson, Santanu Chaudhury, Brejesh lall, Prateek Kapadia
While computing similarity between users, we make use of a combined similarity measure involving rating overlap as well as similarity in the latent topic space.