Karttikeya Mangalam
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 8 papers; trusts 920 researchers and is trusted by 140 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 454 citations into it; #2,963 of 21,575 by trust here, #2,704 by citations
- Artificial Intelligence — 297 citations into it; #17,409 of 35,345 by trust here, #5,187 by citations
- Model Architectures — 112 citations into it; #1,297 of 2,278 by trust here, #571 by citations
- Natural Language Processing — 34 citations into it
- Efficiency & Compression — 33 citations into it
- Optimization & Training — 32 citations into it
- Automotive Engineering — 22 citations into it
- Reinforcement Learning — 13 citations into it
Whom Karttikeya Mangalam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Andrew Zisserman
Who trusts Karttikeya Mangalam overall
- Yanghao Li
- Shao-Wei Liu
- Thomas Gilles
- Tianpei Gu
- Zesen Cheng
- Kunchang Li
- Christoph Feichtenhofer
- Xiaoqian Shen
- Yongming Rao
- Haoqi Fan
Papers from Karttikeya Mangalam's perspective
Ordered by how strongly the researchers Karttikeya Mangalam 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- 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
- Multiscale Vision Transformers (2021) — 1,678 citations
- Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021) — 1,925 citations
- MViTv2: Improved Multiscale Vision Transformers for Classification and Detection (2021) — 962 citations
- Future Person Localization in First-Person Videos (2017) — 183 citations
- It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction (2020) — 597 citations
- EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding (2023) — 738 citations
- Big Little Transformer Decoder (2023) — 24 citations
- From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting (2020) — 359 citations