Ankit Goyal

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 127 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it
• Artificial Intelligence — 61 citations into it
• Reinforcement Learning — 39 citations into it
• Computational Mechanics — 35 citations into it
• Geology — 30 citations into it
• Control and Systems Engineering — 22 citations into it
• Aerospace Engineering — 15 citations into it
• 3D Vision & Pose — 11 citations into it

Whom Ankit Goyal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Charles Ruizhongtai Qi
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Diederik P. Kingma
6. Shuran Song
7. Yoshua Bengio
8. Christian Szegedy
9. Yann LeCun
10. Ross B. Girshick

Who trusts Ankit Goyal overall

1. Wenlong Huang
2. Renrui Zhang

Papers from Ankit Goyal's perspective

Ordered by how strongly the researchers Ankit Goyal trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• ProgPrompt: Generating Situated Robot Task Plans using Large Language Models (2022) — 1,032 citations
• RVT: Robotic View Transformer for 3D Object Manipulation (2023) — 299 citations
• Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline (2021) — 308 citations