Aljosa Osep
Computer Vision and Pattern Recognition · 2016–2021
A researcher in the Science corpus: 6 papers; trusts 957 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 292 citations into it; #11,864 of 21,575 by trust here, #6,795 by citations
- Artificial Intelligence — 102 citations into it
- Evaluation & Benchmarks — 57 citations into it
- Aerospace Engineering — 33 citations into it
- Model Architectures — 13 citations into it
- Global and Planetary Change — 10 citations into it
- Optimization & Training — 9 citations into it
Whom Aljosa Osep trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Andreas Geiger
- Yoshua Bengio
- Piotr Doll'ar
- Shaoqing Ren
Who trusts Aljosa Osep overall
- Holger Caesar
- Tobias Pohlen
- Jiyang Qi
- Jonathon Luiten
- Yang Liu
- Xinggang Wang
- Ting-Li Chen
- Yuxin Fang
- Jasper R. R. Uijlings
- Bastian Leibe
Papers from Aljosa Osep's perspective
Ordered by how strongly the researchers Aljosa Osep 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
- 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)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- MOTS: Multi-Object Tracking and Segmentation (2019) — 664 citations
- HOTA: A Higher Order Metric for Evaluating Multi-object Tracking (2020) — 1,353 citations
- STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos (2020) — 190 citations
- Multi-scale object candidates for generic object tracking in street scenes (2016) — 44 citations
- MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking (2020) — 371 citations
- Opening up Open World Tracking (2021) — 69 citations