Kyle Genova

Publications by Year

Research Areas

Advanced Vision and Imaging, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Human Pose and Action Recognition, Robotics and Sensor-Based Localization

Most-Cited Works

• → IBRNet: Learning Multi-View Image-Based Rendering(2021)653 cited
• → Local Deep Implicit Functions for 3D Shape(2020)387 cited
• → Unsupervised Training for 3D Morphable Model Regression(2018)328 cited
• → OpenScene: 3D Scene Understanding with Open Vocabularies(2023)270 cited
• → Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation(2020)260 cited
• → CvxNet: Learnable Convex Decomposition(2020)217 cited
• → Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation(2022)198 cited
• → NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of\n 3D Scenes(2021)46 cited
• → Learning Shape Templates With Structured Implicit Functions(2019)44 cited
• → Differentiable Surface Rendering via Non-Differentiable Sampling(2021)41 cited