Julien P. C. Valentin
Computer Vision and Pattern Recognition · 2015–2021
A researcher in the Science corpus: 8 papers; trusts 556 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 243 citations into it; #10,990 of 21,575 by trust here, #4,807 by citations
- Aerospace Engineering — 78 citations into it; #5,192 of 6,421 by trust here, #1,815 by citations
- 3D Vision & Pose — 49 citations into it
- Artificial Intelligence — 35 citations into it; #26,261 of 35,345 by trust here, #31,361 by citations
- Computer Graphics and Computer-Aided Design — 34 citations into it
- Computational Mechanics — 33 citations into it
- Evaluation & Benchmarks — 26 citations into it
- Model Architectures — 19 citations into it
Whom Julien P. C. Valentin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Yann LeCun
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Karen Simonyan
Who trusts Julien P. C. Valentin overall
- Eric Brachmann
- Haowen Deng
- Angela Dai
- Angel X. Chang
- Ali Ayub
- Carsten Rother
- Andy Zeng
- Binh-Son Hua
- Abhijit Kundu
- Tolga Birdal
Papers from Julien P. C. Valentin's perspective
Ordered by how strongly the researchers Julien P. C. Valentin 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)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning to Navigate the Energy Landscape (2016) — 193 citations
- FastNeRF: High-Fidelity Neural Rendering at 200FPS (2021) — 787 citations
- Holoportation: Virtual 3D Teleportation in Real-time (2016) — 743 citations
- Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences (2016) — 314 citations
- StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction (2018) — 397 citations
- SemanticPaint (2015) — 104 citations
- ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation (2019) — 190 citations
- Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation (2019) — 913 citations