Otmar Hilliges
Computer Vision and Pattern Recognition · 2011–2022
A researcher in the Science corpus: 14 papers; trusts 898 researchers and is trusted by 194 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 254 citations into it; #2,700 of 21,575 by trust here, #1,749 by citations
- Human-Computer Interaction — 79 citations into it; #2,086 of 2,253 by trust here, #456 by citations
- Control and Systems Engineering — 68 citations into it
- Artificial Intelligence — 62 citations into it
- 3D Vision & Pose — 43 citations into it; #224 of 689 by trust here, #26 by citations
- Computational Mechanics — 39 citations into it
- Generative Models — 30 citations into it
- Computer Graphics and Computer-Aided Design — 21 citations into it
Whom Otmar Hilliges trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
Who trusts Otmar Hilliges overall
- Shahram Izadi
- Thomas Whelan
- Eric Brachmann
- Shuran Song
- Andrew J. Davison
- Richard A. Newcombe
- Angela Dai
- Matthias Nießner
- Michael Zollhöfer
- J. Laviola
Papers from Otmar Hilliges's perspective
Ordered by how strongly the researchers Otmar Hilliges trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- KinectFusion: Real-time dense surface mapping and tracking (2011) — 4,655 citations
- KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera (2011) — 2,576 citations
- Cross-Modal Deep Variational Hand Pose Estimation (2018) — 309 citations
- PARE: Part Attention Regressor for 3D Human Body Estimation (2021) — 524 citations
- Two-Stream SR-CNNs for Action Recognition in Videos (2016) — 105 citations
- Supplementary: Monocular Neural Image Based Rendering with Continuous View Control (2019)
- I M Avatar: Implicit Morphable Head Avatars from Videos (2021) — 300 citations
- Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction (2019) — 26 citations
- ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation (2020) — 362 citations
- Interacting with Soli: Exploring Fine-Grained Dynamic Gesture Recognition in the Radio-Frequency Spectrum (2016) — 426 citations
- Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks (2019) — 55 citations
- ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation (2022) — 361 citations
- A Spatio-temporal Transformer for 3D Human Motion Prediction (2020) — 296 citations
- Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor (2012) — 512 citations