Vishwanath A. Sindagi

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 7 papers; trusts 1,602 researchers and is trusted by 95 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 332 citations into it; #3,075 of 21,575 by trust here, #4,372 by citations
• Artificial Intelligence — 188 citations into it; #3,360 of 35,345 by trust here, #11,327 by citations
• Generative Models — 35 citations into it; #480 of 1,956 by trust here, #878 by citations
• Aerospace Engineering — 24 citations into it
• Media Technology — 23 citations into it
• Model Architectures — 19 citations into it
• 3D Vision & Pose — 18 citations into it
• Evaluation & Benchmarks — 18 citations into it

Whom Vishwanath A. Sindagi trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Ross B. Girshick
4. Andrew Zisserman
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Yann LeCun
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Vishwanath A. Sindagi overall

1. Vishal M. Patel
2. Xiaoheng Jiang
3. Qi Wang
4. Luca Ciampi
5. Xinkun Cao
6. Xialei Liu
7. Yuhong Li
8. Rajeev Yasarla
9. Jiang Liu
10. Giuseppe Amato

Papers from Vishwanath A. Sindagi's perspective

Ordered by how strongly the researchers Vishwanath A. Sindagi 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. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Image De-Raining Using a Conditional Generative Adversarial Network (2017) — 1,193 citations
• Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs (2017) — 669 citations
• A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation (2017) — 581 citations
• MVX-Net: Multimodal VoxelNet for 3D Object Detection (2019) — 546 citations
• Unsupervised Domain Adaptation of Object Detectors: A Survey (2021) — 314 citations
• JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method (2020) — 337 citations
• CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting (2017) — 537 citations