Stephen Lin
60 papers · 2013–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (74) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(25)
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(11)
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(12)
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(10)
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(6)
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(2)
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Research topics
Computer Vision
(41)
Deep Learning
(31)
Machine Learning
(29)
Analysis
(24)
Processing
(20)
Learning Types Β· Machine Learning
(16)
Architectures
(15)
Learning Types Β· Deep Learning
(14)
Artificial Intelligence
(10)
Core Methods
(10)
Techniques
(10)
Core AI Β· Computer Vision
(8)
Application Areas
(7)
Core AI Β· Artificial Intelligence
(6)
Learning Paradigms
(3)
Keywords
object detection
(11)
convolutional neural network
(7)
self-supervised learning
(6)
representation learning
(5)
transfer learning
(5)
vision transformer
(4)
semantic segmentation
(4)
depth estimation
(4)
contrastive learning
(4)
action recognition
(3)
unsupervised learning
(3)
instance segmentation
(3)
3d reconstruction
(2)
image classification
(2)
feature learning
(2)
attention mechanism
(2)
semi-supervised learning
(2)
deformable convolution
(2)
transformer architecture
(2)
image restoration
(2)
Papers
A Study of Finetuning Video Transformers for Multi-view Geometry Tasks
AAAI 2026
Associative Transformer
CVPR 2025
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
ICLR 2024
You Only Need Less Attention at Each Stage in Vision Transformers
CVPR 2024
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
ICCV 2023
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
ECCV 2022
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
CVPR 2022
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
ECCV 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
ECCV 2022
Could Giant Pre-trained Image Models Extract Universal Representations?
NeurIPS 2022
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
CVPR 2022
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations
ECCV 2022
Video Swin Transformer
CVPR 2022
Aligning Pretraining for Detection via Object-Level Contrastive Learning
NeurIPS 2021
Bootstrap Your Object Detector via Mixed Training
NeurIPS 2021
Cross-Iteration Batch Normalization
CVPR 2021
Distilling Localization for Self-Supervised Representation Learning
AAAI 2021
Instance Localization for Self-Supervised Detection Pretraining
CVPR 2021
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
AAAI 2021
Neural Articulated Radiance Field
ICCV 2021
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
CVPR 2021
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows
ICCV 2021
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
NeurIPS 2021
What Makes Instance Discrimination Good for Transfer Learning?
ICLR 2021
A Transductive Approach for Video Object Segmentation
CVPR 2020
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
ICLR 2020
Dense RepPoints: Representing Visual Objects with Dense Point Sets
ECCV 2020
Disentangled Non-local Neural Networks
ECCV 2020
Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation
AAAI 2020
Object-based Illumination Estimation with Rendering-aware Neural Networks
ECCV 2020
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
ECCV 2020
RepPoints v2: Verification Meets Regression for Object Detection
NeurIPS 2020
Single Image Reflection Removal Through Cascaded Refinement
CVPR 2020
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation
ECCV 2020
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
ECCV 2020
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
ICCV 2019
Deformable ConvNets V2: More Deformable, Better Results
CVPR 2019
DPSNet: End-to-end Deep Plane Sweep Stereo
ICLR 2019
Local Relation Networks for Image Recognition
ICCV 2019
RepPoints: Point Set Representation for Object Detection
ICCV 2019
A High-Quality Denoising Dataset for Smartphone Cameras
CVPR 2018
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction
ECCV 2018
Recurrent Transformer Networks for Semantic Correspondence
NeurIPS 2018
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow
ICCV 2017
FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling
CVPR 2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
CVPR 2017
Radiometric Calibration From Faces in Images
CVPR 2017
Specular Highlight Removal in Facial Images
CVPR 2017
Image Deblurring Using Smartphone Inertial Sensors
CVPR 2016
Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability
ICCV 2015
Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation
CVPR 2015
Object-Based RGBD Image Co-Segmentation With Mutex Constraint
CVPR 2015
Simulating Makeup Through Physics-Based Manipulation of Intrinsic Image Layers
CVPR 2015
Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-Encoders
ICCV 2015
A Learning-to-Rank Approach for Image Color Enhancement
CVPR 2014
Object-based Multiple Foreground Video Co-segmentation
CVPR 2014
Bayesian Depth-from-Defocus with Shading Constraints
CVPR 2013
Learning the Change for Automatic Image Cropping
CVPR 2013
Semantically-Based Human Scanpath Estimation with HMMs
ICCV 2013
Shading-Based Shape Refinement of RGB-D Images
CVPR 2013