Deepti Ghadiyaram
Computer Vision and Pattern Recognition · 2015–2020
A researcher in the Science corpus: 6 papers; trusts 561 researchers and is trusted by 77 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 193 citations into it; #3,339 of 21,575 by trust here, #4,955 by citations
- Artificial Intelligence — 85 citations into it
- Media Technology — 47 citations into it; #1,652 of 3,621 by trust here, #2,280 by citations
- Evaluation & Benchmarks — 43 citations into it; #721 of 3,147 by trust here, #2,166 by citations
- Representation & Self-Supervised Learning — 39 citations into it
- Signal Processing — 12 citations into it
- Model Architectures — 10 citations into it
- Human-Computer Interaction — 9 citations into it
Whom Deepti Ghadiyaram trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Bovik
- Anush K. Moorthy
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Anish Mittal
- Alex Krizhevsky
- Zhou Wang
- Andrew Zisserman
- Yoshua Bengio
Who trusts Deepti Ghadiyaram overall
- Weixia Zhang
- Kede Ma
- Jari Korhonen
- Zhengzhong Tu
- Hancheng Zhu
- Yuming Fang
- A. Bovik
- S. Alireza Golestaneh
- Hossein Talebi
- Zeina Sinno
Papers from Deepti Ghadiyaram's perspective
Ordered by how strongly the researchers Deepti Ghadiyaram 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition (2019) — 319 citations
- ClusterFit: Improving Generalization of Visual Representations (2019) — 140 citations
- Massive Online Crowdsourced Study of Subjective and Objective Picture Quality (2015) — 808 citations
- Perceptual quality prediction on authentically distorted images using a bag of features approach (2016) — 331 citations
- How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language (2020) — 353 citations
- From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality (2019) — 445 citations