Siyuan Huang

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 14 papers; trusts 1,153 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 643 citations into it
• Artificial Intelligence — 526 citations into it
• Multimodal Learning — 173 citations into it
• Natural Language Processing — 115 citations into it
• Evaluation & Benchmarks — 104 citations into it
• Reinforcement Learning — 63 citations into it
• Aerospace Engineering — 56 citations into it
• Representation & Self-Supervised Learning — 55 citations into it

Whom Siyuan Huang trusts overall

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

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

Who trusts Siyuan Huang overall

1. Boyuan Chen
2. Renrui Zhang
3. Jiayuan Mao

Papers from Siyuan Huang's perspective

Ordered by how strongly the researchers Siyuan Huang 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense (2019) — 131 citations
• Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning (2021) — 520 citations
• Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars (2017) — 86 citations
• SQA3D: Situated Question Answering in 3D Scenes (2022) — 348 citations
• LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models (2023) — 280 citations
• An Embodied Generalist Agent in 3D World (2023) — 406 citations
• A Competence-aware Curriculum for Visual Concepts Learning via Question Answering (2020) — 36 citations
• SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models (2024) — 159 citations
• Diffusion-based Generation, Optimization, and Planning in 3D Scenes (2023) — 334 citations
• SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models (2023) — 306 citations
• Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners (2023) — 245 citations
• Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020) — 152 citations
• LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities (2020) — 77 citations
• Learning by Fixing: Solving Math Word Problems with Weak Supervision (2020) — 65 citations