Hjalmar S. Kühl
Ecology · 2008–2022
A researcher in the Science corpus: 6 papers; trusts 158 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 69 citations into it; #4,306 of 10,717 by trust here, #6,543 by citations
- Computer Vision and Pattern Recognition — 43 citations into it
- Nature and Landscape Conservation — 33 citations into it
- Ecological Modeling — 32 citations into it
- Ecology, Evolution, Behavior and Systematics — 26 citations into it; #3,818 of 6,648 by trust here, #5,377 by citations
- Artificial Intelligence — 23 citations into it
- Statistics and Probability — 15 citations into it
- Global and Planetary Change — 14 citations into it
Whom Hjalmar S. Kühl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- T. Schweder
- J. Andrew Royle
- D. MacKenzie
- J. Marcus Rowcliffe
- Kaiming He
- J. Pellet
- René Ranftl
- Gunnar Farnebäck
- Geoffrey E. Hinton
- Edwin Olson
Who trusts Hjalmar S. Kühl overall
Papers from Hjalmar S. Kühl's perspective
Ordered by how strongly the researchers Hjalmar S. Kühl 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
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- SOCRATES: Introducing Depth in Visual Wildlife Monitoring Using Stereo Vision (2022) — 13 citations
- Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps (2021) — 28 citations
- sPlot – A new tool for global vegetation analyses (2019) — 244 citations
- Distance sampling with camera traps (2017) — 232 citations
- Assessing the performance of a semi‐automated acoustic monitoring system for primates (2015) — 161 citations
- Best practice guidelines for surveys and monitoring of great ape populations (2008) — 174 citations