Haotian Tang
Computer Vision and Pattern Recognition · 2019–2024
A researcher in the Science corpus: 7 papers; trusts 561 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 262 citations into it; #15,635 of 21,575 by trust here, #6,737 by citations
- Artificial Intelligence — 176 citations into it
- Efficiency & Compression — 82 citations into it
- Aerospace Engineering — 68 citations into it; #4,260 of 6,421 by trust here, #1,451 by citations
- Computational Mechanics — 59 citations into it
- Geology — 39 citations into it
- Model Architectures — 39 citations into it
- Evaluation & Benchmarks — 28 citations into it
Whom Haotian Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Charles Ruizhongtai Qi
- Ross B. Girshick
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
Who trusts Haotian Tang overall
- Xu Yan
- Zhijian Liu
- Jianyun Xu
- Yi Wei
- Shaoshuai Shi
- Jiaming Sun
- Hanrui Wang
- Jiantao Gao
- Wenzhao Zheng
- Xinge Zhu
Papers from Haotian Tang's perspective
Ordered by how strongly the researchers Haotian Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Point-Voxel CNN for Efficient 3D Deep Learning (2019) — 855 citations
- BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation (2022) — 1,613 citations
- Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution (2020) — 863 citations
- AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration (2023) — 1,557 citations
- AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration (2023) — 857 citations
- LongVILA: Scaling Long-Context Visual Language Models for Long Videos (2024) — 306 citations
- SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers (2024) — 334 citations