Jongwoo Lim
Computer Vision and Pattern Recognition · 2003–2016
A researcher in the Science corpus: 8 papers; trusts 805 researchers and is trusted by 1,325 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 237 citations into it; #1,105 of 21,575 by trust here, #1,584 by citations
- Artificial Intelligence — 55 citations into it
- Aerospace Engineering — 26 citations into it; #175 of 6,421 by trust here, #551 by citations
- Electrical and Electronic Engineering — 16 citations into it; #441 of 16,539 by trust here, #4,002 by citations
- Media Technology — 12 citations into it
- Computational Mechanics — 11 citations into it
- Biomedical Engineering — 8 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Jongwoo Lim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shai Avidan
- Fatih Murat Porikli
- Navneet Dalal
- Matthew Brand
- Ming-Hsuan Yang
- Allan D. Jepson
- Alex Krizhevsky
- Helmut Grabner
- Geoffrey E. Hinton
- Ross B. Girshick
Who trusts Jongwoo Lim overall
- Martin Danelljan
- Ming-Hsuan Yang
- Chao Ma
- Fahad Shahbaz Khan
- Naiyan Wang
- Hyeonseob Nam
- Matej Kristan
- Matthias Mueller
- Goutam Bhat
- Michael Felsberg
Papers from Jongwoo Lim's perspective
Ordered by how strongly the researchers Jongwoo Lim trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Online Object Tracking: A Benchmark (2013) — 3,975 citations
- Incremental Learning for Robust Visual Tracking (2008) — 3,290 citations
- Object Tracking Benchmark (2015) — 3,212 citations
- UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking (2015) — 749 citations
- Clustering appearances of objects under varying illumination conditions (2003) — 593 citations
- Hedged Deep Tracking (2016) — 677 citations
- DETRAC: A New Benchmark and Protocol for Multi-Object Tracking (2015) — 63 citations
- Incremental Learning for Visual Tracking (2004) — 341 citations