Stephen Lin

Publications
Influence

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

S. Yan, Dong Xu, B. Zhang, H. Zhang, Qiang Yang, Stephen Lin
Computer Science, Medicine
IEEE Transactions on Pattern Analysis and Machine…
2007

We present a general framework called graph embedding, along with its linearization, kernelization, and tensorization, that offers a unified view for understanding and explaining many of the popular dimensionality reduction algorithms such as the ones mentioned above. Expand

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A High-Quality Denoising Dataset for Smartphone Cameras

A. Abdelhamed, Stephen Lin, M. S. Brown
Computer Science
IEEE/CVF Conference on Computer Vision and…
18 June 2018

We propose a systematic procedure for estimating ground truth for noisy images that can be used to benchmark denoising performance for smartphone cameras. Expand

GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond

Yue Cao, J. Xu, Stephen Lin, Fangyun Wei, H. Hu
Computer Science
IEEE/CVF International Conference on Computer…
25 April 2019

The Non-Local Network (NLNet) presents a pioneering approach for capturing long-range dependencies, via aggregating query-specific global context to each query position. Expand

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, Stephen Lin
Mathematics
2007

A large family of algorithms - supervised or unsupervised; stemming from statistics or geometry theory - has been designed to provide different solutions to the problem of dimensionality reduction. Expand

Deformable ConvNets V2: More Deformable, Better Results

X. Zhu, H. Hu, Stephen Lin, Jifeng Dai
Computer Science
IEEE/CVF Conference on Computer Vision and…
27 November 2018

We present a reformulation of Deformable ConvNets that improves its ability to focus on pertinent image regions, through increased modeling power and stronger training. Expand

Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval

Dong Xu, S. Yan, D. Tao, Stephen Lin, H. Zhang
Computer Science, Medicine
IEEE Transactions on Image Processing
1 November 2007

We investigate and extend our previously proposed dimensionality reduction algorithm MFA to gait recognition and CBIR. Expand

3D shape regression for real-time facial animation

Chen Cao, Y. Weng, Stephen Lin, Kun Zhou
Computer Science
ACM Trans. Graph.
21 July 2013

We present a real-time performance-driven facial animation system based on 3D shape regression. Expand

Learning the Change for Automatic Image Cropping

Jianzhou Yan, Stephen Lin, S. B. Kang, X. Tang
Computer Science
IEEE Conference on Computer Vision and Pattern…
23 June 2013

We present an automatic cropping technique that accounts for the two primary considerations of people when they crop: removal of distracting content, and enhancement of overall composition. Expand

Exposure: A White-Box Photo Post-Processing Framework

Y. Hu, Hao He, C. Xu, B. Wang, Stephen Lin
Computer Science
ACM Trans. Graph.
27 September 2017

We present a photo retouching system that handles a wide range of post-processing operations within a unified framework, and learns how to apply these operations based on a photo collection representing a user's personal preferences. Expand

DPSNet: End-to-end Deep Plane Sweep Stereo

Sunghoon Im, H. Jeon, Stephen Lin, In-So Kweon
Computer Science
ICLR
2 May 2019

We present a convolutional neural network called DPSNet (Deep Plane Sweep Network) whose design is inspired by best practices of traditional geometry-based approaches for dense depth reconstruction. Expand

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