Jiemin Fang

Orcid: 0000-0002-0322-4582

According to our database1, Jiemin Fang authored at least 32 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting.
CoRR, 2024

Fast High Dynamic Range Radiance Fields for Dynamic Scenes.
CoRR, 2024

2023
TinyDet: accurately detecting small objects within 1 GFLOPs.
Sci. China Inf. Sci., January, 2023

Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views.
CoRR, 2023

Segment Any 3D Gaussians.
CoRR, 2023

GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions.
CoRR, 2023

GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors.
CoRR, 2023

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering.
CoRR, 2023

TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction.
CoRR, 2023

Segment Anything in 3D with NeRFs.
CoRR, 2023

TinyDet: Accurate Small Object Detection in Lightweight Generic Detectors.
CoRR, 2023

WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation.
CoRR, 2023

Generalizable Neural Voxels for Fast Human Radiance Fields.
CoRR, 2023

Segment Anything in 3D with NeRFs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers.
CoRR, 2022

Fast Dynamic Radiance Fields with Time-Aware Neural Voxels.
Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Bag of Instances Aggregation Boosts Self-supervised Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Temporally Efficient Vision Transformer for Video Instance Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

EfficientPose: Efficient human pose estimation with neural architecture search.
Comput. Vis. Media, 2021

Exploring Complicated Search Spaces with Interleaving-Free Sampling.
CoRR, 2021

NeuSample: Neural Sample Field for Efficient View Synthesis.
CoRR, 2021

Semantic-Aware Generation for Self-Supervised Visual Representation Learning.
CoRR, 2021

Bag of Instances Aggregation Boosts Self-supervised Learning.
CoRR, 2021

EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search.
Sci. China Inf. Sci., 2021

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hierarchical Aggregation for 3D Instance Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
ResizeMix: Mixing Data with Preserved Object Information and True Labels.
CoRR, 2020

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Densely Connected Search Space for More Flexible Neural Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Deep Multi-instance Learning with Dynamic Pooling.
Proceedings of The 10th Asian Conference on Machine Learning, 2018


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