Hi! I'm Yawar. I did my Bachelor's in Computer Science in India and Master's from TU Munich. I worked on Active Learning for Semantic Segmentation as my Master Thesis with the Visual Computing Lab before joining as an intern. In the past, I've worked with Adobe Systems - Core technologies Imaging team in India, and as an intern with Disney Research, Zurich on Neck Tracking and Reconstruction.
|SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans|
|Angela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin, Matthias Nießner|
|We present SPSG, a novel approach to generate high-quality, colored 3D models of scenes from RGB-D scan observations by learning to infer unobserved scene geometry and color in a self-supervised fashion. Rather than relying on 3D reconstruction losses to inform our 3D geometry and color reconstruction, we propose adversarial and perceptual losses operating on 2D renderings in order to achieve high-resolution, high-quality colored reconstructions of scenes.|
|ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation|
|Yawar Siddiqui, Julien Valentin, Matthias Nießner|
|We propose ViewAL, a novel active learning strategy for semantic segmentation that exploits viewpoint consistency in multi-view datasets.|