← Authors

Stephen Lin

60 papers · 2013–2026 · 6 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (81) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🌟 Keyword Trendsetter Combo (10) 🏠 Conference Loyalist (25) 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution ⚑ Prolific Year (8) πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (215) πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (59)

Conferences

CVPR (25) ECCV (11) ICCV (10) NIPS (6) AAAI (4) ICLR (4)

Top co-authors

Zhirong Wu (12) Han Hu (12) Zheng Zhang (10) Xiao Sun (9) Yue Cao (8) Fangyun Wei (5) Seungryong Kim (5) Xizhou Zhu (4) Chen Li (4) Kun Zhou (4)

Research topics

Core AI (2)

Keywords

object detection (11) self-supervised learning (6) convolutional neural network (6) vision transformer (4) semantic segmentation (4) transfer learning (4) representation learning (4) action recognition (3) unsupervised learning (3) depth estimation (3) instance segmentation (3) contrastive learning (3) 3d reconstruction (2) attention mechanism (2) image classification (2) data augmentation (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
You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence ICLR 2024
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning ICCV 2023
A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation CVPR 2022
Could Giant Pre-trained Image Models Extract Universal Representations? NIPS 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation ECCV 2022
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance ECCV 2022
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations ECCV 2022
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion ECCV 2022
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition CVPR 2022
Video Swin Transformer CVPR 2022
Neural Articulated Radiance Field ICCV 2021
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows ICCV 2021
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos NIPS 2021
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning NIPS 2021
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency AAAI 2021
Distilling Localization for Self-Supervised Representation Learning AAAI 2021
Bootstrap Your Object Detector via Mixed Training NIPS 2021
Instance Localization for Self-Supervised Detection Pretraining CVPR 2021
What Makes Instance Discrimination Good for Transfer Learning? ICLR 2021
Cross-Iteration Batch Normalization CVPR 2021
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach ECCV 2020
RepPoints v2: Verification Meets Regression for Object Detection NIPS 2020
Leveraging Multi-View Image Sets for Unsupervised Intrinsic Image Decomposition and Highlight Separation AAAI 2020
Single Image Reflection Removal Through Cascaded Refinement CVPR 2020
A Transductive Approach for Video Object Segmentation CVPR 2020
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation ECCV 2020
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation ECCV 2020
Disentangled Non-local Neural Networks ECCV 2020
Object-based Illumination Estimation with Rendering-aware Neural Networks ECCV 2020
Dense RepPoints: Representing Visual Objects with Dense Point Sets ECCV 2020
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation ICLR 2020
DPSNet: End-to-end Deep Plane Sweep Stereo ICLR 2019
RepPoints: Point Set Representation for Object Detection ICCV 2019
An Empirical Study of Spatial Attention Mechanisms in Deep Networks ICCV 2019
Local Relation Networks for Image Recognition ICCV 2019
Deformable ConvNets V2: More Deformable, Better Results CVPR 2019
Recurrent Transformer Networks for Semantic Correspondence NIPS 2018
A High-Quality Denoising Dataset for Smartphone Cameras CVPR 2018
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction ECCV 2018
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow ICCV 2017
Radiometric Calibration From Faces in Images CVPR 2017
FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling CVPR 2017
Specular Highlight Removal in Facial Images CVPR 2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence CVPR 2017
Image Deblurring Using Smartphone Inertial Sensors CVPR 2016
Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-Encoders ICCV 2015
Simulating Makeup Through Physics-Based Manipulation of Intrinsic Image Layers CVPR 2015
Object-Based RGBD Image Co-Segmentation With Mutex Constraint CVPR 2015
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 Multiple Foreground Video Co-segmentation CVPR 2014
A Learning-to-Rank Approach for Image Color Enhancement CVPR 2014
Semantically-Based Human Scanpath Estimation with HMMs ICCV 2013
Bayesian Depth-from-Defocus with Shading Constraints CVPR 2013
Learning the Change for Automatic Image Cropping CVPR 2013
Shading-Based Shape Refinement of RGB-D Images CVPR 2013