Aditya Arora
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 7 papers; trusts 902 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 426 citations into it; #5,681 of 21,575 by trust here, #5,082 by citations
- Media Technology — 193 citations into it; #1,017 of 3,621 by trust here, #529 by citations
- Artificial Intelligence — 56 citations into it
- Model Architectures — 46 citations into it
- Computational Mechanics — 29 citations into it
- Evaluation & Benchmarks — 18 citations into it
- Optimization & Training — 18 citations into it
- Biomedical Engineering — 17 citations into it
Whom Aditya Arora trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Andrew Zisserman
Who trusts Aditya Arora overall
- Syed Waqas Zamir
- Liangyu Chen
- Jie Xiao
- Jing Lin
- Zhendong Wang
- Salman Hameed Khan
- Chong Mou
- Yulun Zhang
- Xiang Chen
- Xiaojie Chu
Papers from Aditya Arora's perspective
Ordered by how strongly the researchers Aditya Arora 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Restormer: Efficient Transformer for High-Resolution Image Restoration (2021) — 4,193 citations
- Multi-Stage Progressive Image Restoration (2021) — 2,207 citations
- Learning Enriched Features for Real Image Restoration and Enhancement (2020) — 989 citations
- iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images (2019) — 507 citations
- CycleISP: Real Image Restoration via Improved Data Synthesis (2020) — 446 citations
- Learning Enriched Features for Fast Image Restoration and Enhancement (2022) — 623 citations
- AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) — 43 citations