Shaojie Shen

Computer Vision and Pattern Recognition · IEEE Transactions on robotics · 2011–2021

A researcher in the Science corpus: 13 papers; trusts 453 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 181 citations into it; #3,959 of 21,575 by trust here, #5,013 by citations
• Aerospace Engineering — 166 citations into it; #351 of 6,421 by trust here, #677 by citations
• Computer Networks and Communications — 39 citations into it
• Control and Systems Engineering — 38 citations into it
• Geology — 34 citations into it
• Robotics & Control — 24 citations into it
• Electrical and Electronic Engineering — 22 citations into it; #918 of 16,539 by trust here, #5,871 by citations
• Artificial Intelligence — 21 citations into it

Whom Shaojie Shen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nathan Michael
2. Jianbo Shi
3. Abraham Bachrach
4. Kaiming He
5. Edwin Olson
6. Davide Scaramuzza
7. Anastasios I. Mourikis
8. David Nistér
9. Frank Dellaert
10. Christian Forster

Who trusts Shaojie Shen overall

1. Vijay R. Kumar
2. Nathan Michael
3. Korbinian Schmid
4. Christoforos Kanellakis
5. Simon Lynen
6. Teodor Tomic
7. Gregory Kahn
8. Boyu Zhou
9. Markus Achtelik
10. Robert C. Leishman

Papers from Shaojie Shen's perspective

Ordered by how strongly the researchers Shaojie Shen trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Stereo R-CNN Based 3D Object Detection for Autonomous Driving (2019) — 565 citations
• Autonomous multi-floor indoor navigation with a computationally constrained MAV (2011) — 417 citations
• VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator (2017) — 4,417 citations
• Vision-based state estimation for autonomous rotorcraft MAVs in complex environments (2013) — 121 citations
• RAPTOR: Robust and Perception-Aware Trajectory Replanning for Quadrotor Fast Flight (2020) — 301 citations
• Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight (2019) — 575 citations
• Collaborative mapping of an earthquake‐damaged building via ground and aerial robots (2012) — 510 citations
• A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors (2019) — 411 citations
• GVINS: Tightly Coupled GNSS–Visual–Inertial Fusion for Smooth and Consistent State Estimation (2021) — 362 citations
• FUEL: Fast UAV Exploration Using Incremental Frontier Structure and Hierarchical Planning (2020) — 358 citations
• A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors (2019) — 446 citations
• A Survey on Aerial Swarm Robotics (2018) — 582 citations
• Autonomous aerial navigation using monocular visual‐inertial fusion (2018) — 227 citations