Poojan Oza

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 651 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 165 citations into it; #16,192 of 21,575 by trust here, #11,286 by citations
• Artificial Intelligence — 155 citations into it; #7,003 of 35,345 by trust here, #12,244 by citations
• Representation & Self-Supervised Learning — 38 citations into it
• Radiology, Nuclear Medicine and Imaging — 35 citations into it; #2,002 of 3,265 by trust here, #1,585 by citations
• Model Architectures — 18 citations into it
• Generative Models — 11 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Media Technology — 9 citations into it; #591 of 3,621 by trust here, #1,923 by citations

Whom Poojan Oza trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Yann LeCun
6. Yoshua Bengio
7. Ilya Sutskever
8. Ross B. Girshick
9. Christopher K. I. Williams
10. Jimmy Ba

Who trusts Poojan Oza overall

1. Shu Kong
2. Da-Wei Zhou
3. Pramuditha Perera
4. Chuanxing Geng
5. Sagar Vaze
6. Jingkang Yang
7. Guangyao Chen
8. Sepideh Esmaeilpour
9. Hongjie Zhang
10. Zhen Fang

Papers from Poojan Oza's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Medical Transformer: Gated Axial-Attention for Medical Image Segmentation (2021) — 1,422 citations
• C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition (2019) — 412 citations
• Unsupervised Domain Adaptation of Object Detectors: A Survey (2021) — 314 citations
• Multiple Class Novelty Detection Under Data Distribution Shift (2020) — 17 citations