66 citations · 308 across the 39 of their papers we have counts for
9 papers · 1 filter
Aerial multi-object tracking by detection using deep association networks
Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik +1
A lot a research is focused on object detection and it has achieved significant advances with deep learning techniques in recent years. Inspite of the existing research, these algo…
Analysis of Signals via Non-Maximally Decimated Non-Uniform Filter Banks
Sandeep Patel, Ravindra Dhuli, Brejesh Lall
This paper addresses the important problem of reconstructing a signal from multiple multirate observations. The observations are modeled as the output of an analysis bank, and time…
Learning Activation Functions: A new paradigm for understanding Neural Networks
Mohit Goyal, Rajan Goyal, Brejesh Lall
The scope of research in the domain of activation functions remains limited and centered around improving the ease of optimization or generalization quality of neural networks (NNs…
Few Shot Speaker Recognition using Deep Neural Networks
Prashant Anand, Ajeet Kumar Singh, Siddharth Srivastava +1
The recent advances in deep learning are mostly driven by availability of large amount of training data. However, availability of such data is not always possible for specific task…
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting
Divyam Madaan, Radhika Dua, Prerana Mukherjee +1
Air pollution is the leading environmental health hazard globally due to various sources which include factory emissions, car exhaust and cooking stoves. As a precautionary measure…
Performance Evalution of 3D Keypoint Detectors and Descriptors for Plants Health Classification
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. The use of 3D data for plant phenomics is a recent phenome…
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks
Prerana Mukherjee, Manoj Sharma, Megh Makwana +5
Synthesizing high quality saliency maps from noisy images is a challenging problem in computer vision and has many practical applications. Samples generated by existing techniques…
DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds
Siddharth Srivastava, Brejesh Lall
Learning local descriptors is an important problem in computer vision. While there are many techniques for learning local patch descriptors for 2D images, recently efforts have bee…
Fast Hierarchical Depth Map Computation from Stereo
Vinay Kaushik, Brejesh Lall
Disparity by Block Matching stereo is usually used in applications with limited computational power in order to get depth estimates. However, the research on simple stereo methods…