Qingnan Fan

Qingnan Fan

Stanford University

H-index: 18

North America-United States

About Qingnan Fan

Qingnan Fan, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Diffusion models, 3D Vision, Computer Graphics.

His recent articles reflect a diverse array of research interests and contributions to the field:

C· ASE: Learning conditional adversarial skill embeddings for physics-based characters

3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation

Towards Accurate Active Camera Localization

AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions

VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects

RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment

Qingnan Fan Information

University

Position

___

Citations(all)

2313

Citations(since 2020)

2004

Cited By

817

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Qingnan Fan Skills & Research Interests

Diffusion models

3D Vision

Computer Graphics

Top articles of Qingnan Fan

C· ASE: Learning conditional adversarial skill embeddings for physics-based characters

2023/12/10

Qingnan Fan
Qingnan Fan

H-Index: 10

3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification

CVPR 2023

2022/12/1

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

2022

ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation

2022

Towards Accurate Active Camera Localization

2022/10/23

AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions

2022

VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects

2022

RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment

arXiv preprint arXiv:2112.10143

2021/12/19

Contrastive Multimodal Fusion with TupleInfoNCE

2021

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

2021

Generating Manga From Illustrations via Mimicking Manga Creation Workflow

2021

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments

CVPR 2021 Oral

2021

A General Decoupled Learning Framework for Parameterized Image Operators

IEEE transactions on pattern analysis and machine intelligence

2019/6/28

P4contrast: Contrastive learning with pairs of point-pixel pairs for rgb-d scene understanding

2020/12

IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

arXiv preprint arXiv:2010.05272

2020/10/11

Controllable Image Processing via Adaptive FilterBank Pyramid

IEEE Transactions on Image Processing

2020/7/22

Generative 3D Part Assembly via Dynamic Graph Learning

Advances in Neural Information Processing Systems

2020

See List of Professors in Qingnan Fan University(Stanford University)

Co-Authors

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