Anand Mishra
Computer Vision and Pattern Recognition · 2009–2022
A researcher in the Science corpus: 7 papers; trusts 717 researchers and is trusted by 1,191 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 135 citations into it; #1,235 of 21,575 by trust here, #2,949 by citations
- Artificial Intelligence — 44 citations into it
- Media Technology — 18 citations into it; #614 of 3,621 by trust here, #1,242 by citations
- Multimodal Learning — 16 citations into it; #531 of 1,211 by trust here, #558 by citations
- Natural Language Processing — 13 citations into it; #1,413 of 5,688 by trust here, #1,674 by citations
- Evaluation & Benchmarks — 12 citations into it
- Model Architectures — 7 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Anand Mishra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman
- Kai Wang
- Ross B. Girshick
- Vladimir Kolmogorov
- Kaiming He
- Geoffrey E. Hinton
- Karen Simonyan
- Pedro F. Felzenszwalb
- Judea Pearl
- Alex Krizhevsky
Who trusts Anand Mishra overall
- Max Jaderberg
- Albert Gordo
- Cong Yao
- Andrea Vedaldi
- Xiang Bai
- Chen-Yu Lee
- Qixiang Ye
- Ronghang Hu
- Andrew Zisserman
- José A. Rodríguez-Serrano
Papers from Anand Mishra's perspective
Ordered by how strongly the researchers Anand Mishra trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- OCR-VQA: Visual Question Answering by Reading Text in Images (2019) — 681 citations
- Scene Text Recognition using Higher Order Language Priors (2009) — 880 citations
- Image Retrieval Using Textual Cues (2013) — 127 citations
- Top-down and bottom-up cues for scene text recognition (2012) — 357 citations
- Whole is Greater than Sum of Parts: Recognizing Scene Text Words (2013) — 98 citations
- COFAR: Commonsense and Factual Reasoning in Image Search (2022) — 4 citations
- Sketch-Guided Object Localization in Natural Images (2020) — 29 citations