Jiemin Fang | DeepAI

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Featured Co-authors

Qi Tian
238 publications
Qian Zhang
144 publications
Lei Chen
128 publications
Matthias Nießner
114 publications
Yu Li
112 publications
Ying Shan
106 publications
Lingxi Xie
105 publications
Xinggang Wang
104 publications
Wei Shen
89 publications
Wei Huang
87 publications
Wenyu Liu
86 publications

∙ 09/05/2023

TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction

Four-dimensional Digital Subtraction Angiography (4D DSA) plays a critic...

0 Zhenghong Zhou, et al. ∙

∙ 04/24/2023

Segment Anything in 3D with NeRFs

The Segment Anything Model (SAM) has demonstrated its effectiveness in s...

0 Jiazhong Cen, et al. ∙

∙ 03/27/2023

Generalizable Neural Voxels for Fast Human Radiance Fields

Rendering moving human bodies at free viewpoints only from a monocular v...

0 Taoran Yi, et al. ∙

∙ 05/30/2022

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels

Neural radiance fields (NeRF) have shown great success in modeling 3D sc...

0 Jiemin Fang, et al. ∙

∙ 04/18/2022

Temporally Efficient Vision Transformer for Video Instance Segmentation

Recently vision transformer has achieved tremendous success on image-lev...

0 Shusheng Yang, et al. ∙

∙ 03/27/2022

Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers

The past year has witnessed a rapid development of masked image modeling...

0 Yunjie Tian, et al. ∙

∙ 12/05/2021

Exploring Complicated Search Spaces with Interleaving-Free Sampling

The existing neural architecture search algorithms are mostly working on...

0 Yunjie Tian, et al. ∙

∙ 11/30/2021

NeuSample: Neural Sample Field for Efficient View Synthesis

Neural radiance fields (NeRF) have shown great potentials in representin...

0 Jiemin Fang, et al. ∙

∙ 11/25/2021

Semantic-Aware Generation for Self-Supervised Visual Representation Learning

In this paper, we propose a self-supervised visual representation learni...

1 Yunjie Tian, et al. ∙

∙ 08/05/2021

Hierarchical Aggregation for 3D Instance Segmentation

Instance segmentation on point clouds is a fundamental task in 3D scene ...

4 Shaoyu Chen, et al. ∙

∙ 07/04/2021

Bag of Instances Aggregation Boosts Self-supervised Learning

Recent advances in self-supervised learning have experienced remarkable ...

0 Haohang Xu, et al. ∙

∙ 06/01/2021

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

Can Transformer perform 2D object-level recognition from a pure sequence...

0 Yuxin Fang, et al. ∙

∙ 05/31/2021

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens

Transformers have offered a new methodology of designing neural networks...

0 Jiemin Fang, et al. ∙

∙ 12/21/2020

ResizeMix: Mixing Data with Preserved Object Information and True Labels

Data augmentation is a powerful technique to increase the diversity of d...

12 Jie Qin, et al. ∙

∙ 12/13/2020

EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search

Human pose estimation from image and video is a vital task in many multi...

0 Wenqiang Zhang, et al. ∙

∙ 06/21/2020

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search

Deep neural networks achieve remarkable performance in many computer vis...

2 Jiemin Fang, et al. ∙

∙ 01/08/2020

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search

Deep neural networks achieve remarkable performance in many computer vis...

26 Jiemin Fang, et al. ∙

∙ 06/23/2019

Densely Connected Search Space for More Flexible Neural Architecture Search

In recent years, neural architecture search (NAS) has dramatically advan...

6 Jiemin Fang, et al. ∙

∙ 01/17/2019

EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search

Neural architecture search (NAS) methods have been proposed to release h...

8 Jiemin Fang, et al. ∙

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