Shalini De Mello

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 823 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 313 citations into it; #16,427 of 21,575 by trust here, #4,502 by citations
• Artificial Intelligence — 132 citations into it
• Computer Graphics and Computer-Aided Design — 77 citations into it
• Generative Models — 75 citations into it
• Model Architectures — 46 citations into it
• 3D Vision & Pose — 24 citations into it
• Evaluation & Benchmarks — 23 citations into it
• Optimization & Training — 7 citations into it

Whom Shalini De Mello trusts overall

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

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

Who trusts Shalini De Mello overall

1. Xinjing Cheng
2. Xueyan Zou
3. Xiangtai Li
4. X. Wang
5. Hao Zhang
6. Peng Wang
7. Ruigang Yang

Papers from Shalini De Mello's perspective

Ordered by how strongly the researchers Shalini De Mello 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. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• Efficient Geometry-aware 3D Generative Adversarial Networks (2021) — 1,520 citations
• GroupViT: Semantic Segmentation Emerges from Text Supervision (2022) — 748 citations
• Learning Affinity via Spatial Propagation Networks (2017) — 318 citations
• Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models (2023) — 479 citations
• Generative Novel View Synthesis with 3D-Aware Diffusion Models (2023) — 328 citations