1 citations · 1 across the 6 of their papers we have counts for
6 papers
Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis
Georgios Kouros, Minye Wu, Sushruth Nagesh +2
Inverse rendering aims to reconstruct the scene properties of objects solely from multiview images. However, it is an ill-posed problem prone to producing ambiguous estimations dev…
RGB-X Object Detection via Scene-Specific Fusion Modules
Sri Aditya Deevi, Connor Lee, Lu Gan +3
Multimodal deep sensor fusion has the potential to enable autonomous vehicles to visually understand their surrounding environments in all weather conditions. However, existing dee…
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets
Shubham Shrivastava, Xianling Zhang, Sushruth Nagesh +1
Data imbalance is a well-known issue in the field of machine learning, attributable to the cost of data collection, the difficulty of labeling, and the geographical distribution of…
Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction
Georgios Kouros, Minye Wu, Shubham Shrivastava +3
Neural Radiance Fields (NeRFs) have revolutionized the field of novel view synthesis, demonstrating remarkable performance. However, the modeling and rendering of reflective object…
Look Both Ways: Bidirectional Visual Sensing for Automatic Multi-Camera Registration
Subodh Mishra, Sushruth Nagesh, Sagar Manglani +3
This work describes the automatic registration of a large network (approximately 40) of fixed, ceiling-mounted environment cameras spread over a large area (approximately 800 squar…
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
Georgios Kouros, Shubham Shrivastava, Cédric Picron +3
Pose estimation is usually tackled as either a bin classification or a regression problem. In both cases, the idea is to directly predict the pose of an object. This is a non-trivi…