Akshita Gupta

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Artificial Intelligence — 29 citations into it
• Model Architectures — 13 citations into it

Whom Akshita Gupta trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Jia Deng
8. Diederik P. Kingma
9. Yoshua Bengio
10. Yann LeCun

Who trusts Akshita Gupta overall

1. K. J. Joseph
2. Liu Yu-yang
3. Junsu Kim
4. Xiangtai Li

Papers from Akshita Gupta's perspective

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

Their papers

• iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images (2019) — 507 citations
• OW-DETR: Open-world Detection Transformer (2021) — 275 citations