Yawei Li

Orcid: 0000-0002-8948-7892

Affiliations:
  • ETH Zurich, Computer Vision Laboratory, Zurich, Switzerland


According to our database1, Yawei Li authored at least 60 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
VRT: A Video Restoration Transformer.
IEEE Trans. Image Process., 2024

Hierarchical Information Flow for Generalized Efficient Image Restoration.
CoRR, 2024

MambaIRv2: Attentive State Space Restoration.
CoRR, 2024

IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models.
CoRR, 2024

When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation.
CoRR, 2024

Shapley Pruning for Neural Network Compression.
CoRR, 2024

Any Image Restoration with Efficient Automatic Degradation Adaptation.
CoRR, 2024

Sharing Key Semantics in Transformer Makes Efficient Image Restoration.
CoRR, 2024

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models.
CoRR, 2024

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report.
CoRR, 2024

Empowering Image Recovery_ A Multi-Attention Approach.
CoRR, 2024

Key-Graph Transformer for Image Restoration.
CoRR, 2024

Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-supervised Learning.
Proceedings of the Computer Vision - ACCV 2024, 2024

2023
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis.
Mach. Intell. Res., December, 2023

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis.
CoRR, 2023

A Low-Power Neuromorphic Approach for Efficient Eye-Tracking.
CoRR, 2023

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO.
CoRR, 2023

LocalViT: Analyzing Locality in Vision Transformers.
IROS, 2023

TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

Learning continuous piecewise non-linear activation functions for deep neural networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023


NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


LSDIR: A Large Scale Dataset for Image Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Towards Efficient Deep Neural Networks.
PhD thesis, 2022

Plug-and-Play Image Restoration With Deep Denoiser Prior.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
CoRR, 2022

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis.
CoRR, 2022

Reference-Based Image Super-Resolution with Deformable Attention Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Revisiting Random Channel Pruning for Neural Network Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Video Super-Resolution Transformer.
CoRR, 2021

LocalViT: Bringing Locality to Vision Transformers.
CoRR, 2021

Towards Efficient Graph Convolutional Networks for Point Cloud Handling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture.
CoRR, 2020

Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training.
CoRR, 2020


DHP: Differentiable Meta Pruning via HyperNetworks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Filter Basis for Convolutional Neural Network Compression.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Guided Network for Fast Image Denoising.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

3D Appearance Super-Resolution With Deep Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Modified non-local means for super-resolution of hybrid videos.
Comput. Vis. Image Underst., 2018

CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


2016
Word Recognition with Deep Conditional Random Fields.
CoRR, 2016

Spatiotemporal super-resolution for multiview video in transform domain.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

Multiview Video Super-Resolution via Information Extraction and Merging.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Bilateral video super-resolution using non-local means with adaptive parameters.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Joint visual denoising and classification using deep learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Video Super Resolution Using Non-Local Means with Adaptive Decaying Factor and Searching Window.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016


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