Yifan Liu

Orcid: 0000-0002-2746-8186

Affiliations:
  • ETH Zurich, Switzerland
  • University of Adelaide, SA, Australia


According to our database1, Yifan Liu authored at least 53 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers.
Int. J. Comput. Vis., April, 2024

BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Structured Knowledge Distillation for Dense Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

A Real-Time Memory Updating Strategy for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2023

A Dynamic Feature Interaction Framework for Multi-task Visual Perception.
Int. J. Comput. Vis., 2023

HumanRecon: Neural Reconstruction of Dynamic Human Using Geometric Cues and Physical Priors.
CoRR, 2023

Category Feature Transformer for Semantic Segmentation.
CoRR, 2023

Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation.
CoRR, 2023

BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation.
CoRR, 2023

SegViTv2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers.
CoRR, 2023

A Dynamic Feature Interaction Framework for Multi-task Visual Perception.
CoRR, 2023

Segment Anything in High Quality.
CoRR, 2023

QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers.
CoRR, 2022

FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation.
CoRR, 2022

Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation.
CoRR, 2022

Efficient Video Segmentation Models with Per-frame Inference.
CoRR, 2022

The devil is in the labels: Semantic segmentation from sentences.
CoRR, 2022

SegViT: Semantic Segmentation with Plain Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Controllable Shadow Generation Using Pixel Height Maps.
Proceedings of the Computer Vision - ECCV 2022, 2022

Semantic-Guided Multi-mask Image Harmonization.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation.
CoRR, 2021

Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Structure Affinity for Video Depth Estimation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Generative Adversarial Framework For Optimizing Image Matting And Harmonization Simultaneously.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation<sup>*</sup>.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Channel-wise Knowledge Distillation for Dense Prediction<sup>*</sup>.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generic Perceptual Loss for Modeling Structured Output Dependencies.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
MobileFAN: Transferring deep hidden representation for face alignment.
Pattern Recognit., 2020

Channel-wise Distillation for Semantic Segmentation.
CoRR, 2020

DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data.
CoRR, 2020

Representative Graph Neural Network.
Proceedings of the Computer Vision - ECCV 2020, 2020

Efficient Semantic Video Segmentation with Per-Frame Inference.
Proceedings of the Computer Vision - ECCV 2020, 2020

Instance-Aware Embedding for Point Cloud Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Training Compact Neural Networks via Auxiliary Overparameterization.
CoRR, 2019

Enforcing Geometric Constraints of Virtual Normal for Depth Prediction.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Pixel Level Data Augmentation for Semantic Image Segmentation Using Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Structured Knowledge Distillation for Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks.
Neurocomputing, 2018

Emotion Classification with Data Augmentation Using Generative Adversarial Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017
Data Augmentation in Emotion Classification Using Generative Adversarial Networks.
CoRR, 2017

Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks.
CoRR, 2017

Logical Parsing from Natural Language Based on a Neural Translation Model.
Proceedings of the Computational Linguistics, 2017

Stock Volatility Prediction Using Recurrent Neural Networks with Sentiment Analysis.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017


  Loading...