74 citations · 222 across the 29 of their papers we have counts for
6 papers · 1 filter
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
Jeya Maria Jose V., Rajeev Yasarla, Puyang Wang +2
Automatic segmentation of anatomical landmarks from ultrasound (US) plays an important role in the management of preterm neonates with a very low birth weight due to the increased…
Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions
Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla +1
Adverse weather conditions such as haze and rain corrupt the quality of captured images, which cause detection networks trained on clean images to perform poorly on these images. T…
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
Vishwanath A. Sindagi, Rajeev Yasarla, Vishal M. Patel
In this work, we propose a novel crowd counting network that progressively generates crowd density maps via residual error estimation. The proposed method uses VGG16 as the backbon…
Confidence Measure Guided Single Image De-raining
Rajeev Yasarla, Vishal M. Patel
Single image de-raining is an extremely challenging problem since the rainy images contain rain streaks which often vary in size, direction and density. This varying characteristic…
Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
Rajeev Yasarla, Federico Perazzi, Vishal M. Patel
We propose a novel multi-stream architecture and training methodology that exploits semantic labels for facial image deblurring. The proposed Uncertainty Guided Multi- Stream Seman…
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining
Rajeev Yasarla, Vishal M. Patel
Single image de-raining is an extremely challenging problem since the rainy image may contain rain streaks which may vary in size, direction and density. Previous approaches have a…