Vamsi Krishna Ithapu
Computer Vision and Pattern Recognition · 2013–2021
A researcher in the Science corpus: 8 papers; trusts 527 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 275 citations into it
- Artificial Intelligence — 153 citations into it
- Signal Processing — 101 citations into it
- Evaluation & Benchmarks — 58 citations into it
- Speech & Audio — 52 citations into it
- Representation & Self-Supervised Learning — 36 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Biophysics — 7 citations into it
Whom Vamsi Krishna Ithapu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Matthew D. Zeiler
- Diederik P. Kingma
- Ilya Sutskever
- Andrew Zisserman
- Yann LeCun
- Rob Fergus
Who trusts Vamsi Krishna Ithapu overall
Papers from Vamsi Krishna Ithapu's perspective
Ordered by how strongly the researchers Vamsi Krishna Ithapu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021) — 1,925 citations
- Audio-Visual Embodied Navigation (2019) — 28 citations
- SoundSpaces: Audio-Visual Navigation in 3D Environments (2019) — 343 citations
- Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization (2017) — 7 citations
- EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments (2021) — 93 citations
- SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection (2019) — 11 citations
- Imaging based enrichment criteria using deep learning algorithms for efficient clinical trials in MCI (2015) — 61 citations
- Speeding up Permutation Testing in Neuroimaging (2013) — 7 citations