Konstantinos Bousmalis

Computer Vision and Pattern Recognition · 2015–2025

A researcher in the Science corpus: 9 papers; trusts 583 researchers and is trusted by 273 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 172 citations into it; #2,468 of 21,575 by trust here, #2,050 by citations
• Artificial Intelligence — 142 citations into it; #2,495 of 35,345 by trust here, #1,737 by citations
• Representation & Self-Supervised Learning — 55 citations into it; #861 of 3,145 by trust here, #464 by citations
• Reinforcement Learning — 51 citations into it
• Control and Systems Engineering — 42 citations into it; #8,040 of 8,257 by trust here, #482 by citations
• Generative Models — 36 citations into it
• Robotics & Control — 24 citations into it; #587 of 609 by trust here, #133 by citations
• Evaluation & Benchmarks — 20 citations into it

Whom Konstantinos Bousmalis trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ilya Sutskever
7. Kaiming He
8. Ross B. Girshick
9. L. Eon Bottou
10. Karen Simonyan

Who trusts Konstantinos Bousmalis overall

1. Sebastian Ruder
2. Garrett Wilson
3. Sergey I. Nikolenko
4. Kuniaki Saito
5. Pedro H. O. Pinheiro
6. Judy Hoffman
7. Hsin-Ying Lee
8. S. Sankaranarayanan
9. Yogesh Kumar Balaji
10. Hung-Yu Tseng

Papers from Konstantinos Bousmalis's perspective

Ordered by how strongly the researchers Konstantinos Bousmalis 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks (2016) — 1,626 citations
• Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping (2018) — 731 citations
• Domain Separation Networks (2016) — 1,611 citations
• Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks (2018) — 508 citations
• Off-Policy Evaluation via Off-Policy Classification (2019) — 56 citations
• Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach (2018) — 193 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Gemini Robotics: Bringing AI into the Physical World (2025) — 385 citations
• A Deep Matrix Factorization Method for Learning Attribute Representations (2015) — 338 citations