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Andrew Tao — most-cited papers & profile · AI for Code
← authors
·
overview
Andrew Tao
20
papers ·
850
citations ·
16
h-index
Nvidia (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Hierarchical Multi-Scale Attention for Semantic Segmentation
2020 · 347 citations
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
2017 · 301 citations
Video-to-Video Synthesis
2018 · 127 citations
Improving Semantic Segmentation via Video Propagation and Label Relaxation
2018 · 37 citations
Image Inpainting for Irregular Holes Using Partial Convolutions
2018 · 18 citations
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge
2018 · 6 citations
Dual Contrastive Loss and Attention for GANs
2021 · 5 citations
Neural ODEs for Image Segmentation with Level Sets
2019 · 4 citations
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
2023 · 4 citations
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
2025 · 1 citations
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2026
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
2025
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
2025
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2025
FeatSharp: Your Vision Model Features, Sharper
2025
Top co-authors
Arushi Goel
· 1
Bryan Catanzaro
· 1
Dinesh Manocha
· 1
Ehsan Hosseini-Asl
· 1
Hanrong Ye
· 1
Jaehyeon Kim
· 1
Kaousheik Jayakumar
· 1
Lasha Koroshinadze
· 1
Ming-Yu Liu
· 1
Mohammad Shoeybi
· 1
Nishit Anand
· 1
Pritam Biswas
· 1
Topics
Segmentation
Model Architecture
Efficiency
Vision-Language
Object Detection
Image Generation
Image Restoration
Training Techniques
Video Understanding
Fine-Tuning