60 citations · 147 across the 11 of their papers we have counts for
4 papers · 2 filters
Improved Techniques for GAN based Facial Inpainting
Avisek Lahiri, Arnav Jain, Divyasri Nadendla +1
In this paper we present several architectural and optimization recipes for generative adversarial network(GAN) based facial semantic inpainting. Current benchmark models are susce…
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas
With contemporary advancements of graphics engines, recent trend in deep learning community is to train models on automatically annotated simulated examples and apply on real data…
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images
Avisek Lahiri, Charan Reddy, Prabir Kumar Biswas
Deep learning based object detectors require thousands of diversified bounding box and class annotated examples. Though image object detectors have shown rapid progress in recent y…
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
Avisek Lahiri, Vineet Jain, Arnab Mondal +1
Contemporary deep learning based medical image segmentation algorithms require hours of annotation labor by domain experts. These data hungry deep models perform sub-optimally in t…