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D-Index & Metrics

Computer Science

D-Index
32
Citations
7091
World Ranking
12925
National Ranking
5220

Overview

Ersin Yumer is a researcher affiliated with Adobe Systems in the United States. Their work primarily spans the fields of Computer Science and Engineering, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

The main research topics covered in their work include Anomaly Detection Techniques and Applications, Adversarial Robustness in Machine Learning, Human Pose and Action Recognition, Video Surveillance and Tracking Methods, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, and Human Motion and Animation.

Recent publications by Ersin Yumer include the following papers:

  • Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving, 2021, arXiv (Cornell University)
  • Self-supervised Multi-view Person Association and Its Applications, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • FAME: 3D Shape Generation via Functionality-Aware Model Evolution, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Diverse Complexity Measures for Dataset Curation in Self-Driving, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Ersin Yumer has frequently published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Visualization and Computer Graphics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Their research collaborations include frequent co-authors such as Raquel Urtasun, Xinchen Yan, James Tu, Yun Chen, and Abbas Sadat. Coauthor counts indicate multiple collaborative works, with Raquel Urtasun being the most frequent co-author.

Best Publications

  • Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

    Xinchen Yan;Jimei Yang;Ersin Yumer;Yijie Guo

  • BodyNet: Volumetric Inference of 3D Human Body Shapes

    Gül Varol;Duygu Ceylan;Bryan C. Russell;Jimei Yang

  • UPSNet: A Unified Panoptic Segmentation Network

    Yuwen Xiong;Renjie Liao;Hengshuang Zhao;Rui Hu

  • Learning Blind Video Temporal Consistency

    Wei Sheng Lai;Jia Bin Huang;Oliver Wang;Eli Shechtman

  • Self-supervised learning of motion capture

    Hsiao-Yu Fish Tung;Hsiao-Wei Tung;Ersin Yumer;Katerina Fragkiadaki

  • Neural Face Editing with Intrinsic Image Disentangling

    Zhixin Shu;Ersin Yumer;Sunil Hadap;Kalyan Sunkavalli

  • Learning to predict indoor illumination from a single image

    Marc-André Gardner;Kalyan Sunkavalli;Ersin Yumer;Xiaohui Shen

  • GRASS: generative recursive autoencoders for shape structures

    Jun Li;Kai Xu;Siddhartha Chaudhuri;Ersin Yumer

  • Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

    Eunbyung Park;Jimei Yang;Ersin Yumer;Duygu Ceylan

  • Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

    Yinda Zhang;Shuran Song;Ersin Yumer;Manolis Savva

  • Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks

    Xiao Yang;Ersin Yumer;Paul Asente;Mike Kraley

  • ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

    Chen-Hsuan Lin;Ersin Yumer;Oliver Wang;Eli Shechtman

  • Convolutional neural networks on surfaces via seamless toric covers

    Haggai Maron;Meirav Galun;Noam Aigerman;Miri Trope

  • PlaneNet: Piece-Wise Planar Reconstruction from a Single RGB Image

    Chen Liu;Jimei Yang;Duygu Ceylan;Ersin Yumer

  • 3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

    Chuhang Zou;Ersin Yumer;Jimei Yang;Duygu Ceylan

  • Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

    Xinchen Yan;Jimei Yang;Ersin Yumer;Yijie Guo

  • Learning Design Semantics for Mobile Apps

    Thomas F. Liu;Mark Craft;Jason Situ;Ersin Yumer

  • Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks

    Haibin Huang;Evangelos Kalogerakis;Siddhartha Chaudhuri;Duygu Ceylan

  • MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

    Xinchen Yan;Akash Rastogi;Ruben Villegas;Kalyan Sunkavalli

  • Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

    Xiao Yang;Ersin Yumer;Paul Asente;Mike Kraley

  • GRASS: Generative Recursive Autoencoders for Shape Structures

    Jun Li;Kai Xu;Siddhartha Chaudhuri;Ersin Yumer

  • Photo-Sketching: Inferring Contour Drawings From Images

    Mengtian Li;Zhe Lin;Radomir Mech;Ersin Yumer

Frequent Co-Authors

Raquel Urtasun
Raquel Urtasun University of Toronto
Duygu Ceylan
Duygu Ceylan Adobe Systems (United States)
Jimei Yang
Jimei Yang Adobe Systems (United States)
Vladimir G. Kim
Vladimir G. Kim Adobe Systems (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Niloy J. Mitra
Niloy J. Mitra University College London
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Radomir Mech
Radomir Mech Adobe Systems (United States)
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Honglak Lee
Honglak Lee University of Michigan–Ann Arbor

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