Yumer, E.
* 2017: 3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
* 2017: Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks
* 2017: Material Editing Using a Physically Based Rendering Network
* 2017: Neural Face Editing with Intrinsic Image Disentangling
* 2017: Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
* 2017: Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
* 2018: BodyNet: Volumetric Inference of 3D Human Body Shapes
* 2018: Learning Blind Video Temporal Consistency
* 2018: MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
* 2018: PlaneNet: Piece-Wise Planar Reconstruction from a Single RGB Image
* 2018: Real-Time Hair Rendering Using Sequential Adversarial Networks
* 2018: SeeThrough: Finding Objects in Heavily Occluded Indoor Scene Images
* 2018: ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
* 2019: Photo-Sketching: Inferring Contour Drawings From Images
* 2019: UPSNet: A Unified Panoptic Segmentation Network
* 2021: GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving
* 2021: S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling
* 2021: Self-Supervised Multi-View Person Association and its Applications
Includes: Yumer, E. Yumer, E.[Ersin]
18 for Yumer, E.
Yumer, M.E.[Mehmet Ersin]
* 2014: Co-segmentation of Textured 3D Shapes with Sparse Annotations
* 2014: Data-Driven Investigation and Estimation of Optimal Topologies under Variable Loading Configurations, A
* 2014: Learning 3D Part Detection from Sparsely Labeled Data
* 2016: Learning Semantic Deformation Flows with 3D Convolutional Networks
Includes: Yumer, M.E.[Mehmet Ersin] Yumer, M.E.[M. Ersin]