Vijay Bhaskar Semwal

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 7 citations into it
• Biomedical Engineering — 6 citations into it
• Model Architectures — 5 citations into it
• Signal Processing — 5 citations into it

Whom Vijay Bhaskar Semwal trusts overall

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

1. Attila Reiss
2. Zhicheng Cui

Papers from Vijay Bhaskar Semwal's perspective

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

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
3. ImageNet classification with deep convolutional neural networks
4. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Handwritten Digit Recognition with a Back-Propagation Network
7. Convolutional networks for images, speech, and time series
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Multi-input CNN-GRU based human activity recognition using wearable sensors (2021) — 367 citations