Search Results for author: Wen-Yan Lin

Found 14 papers, 6 papers with code

An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression

no code implementations ECCV 2020 Daichi Iwata, Michael Waechter, Wen-Yan Lin, Yasuyuki Matsushita

This paper studies the problem of sparse residual regression, i. e., learning a linear model using a norm that favors solutions in which the residuals are sparsely distributed.


Distance Based Image Classification: A solution to generative classification's conundrum?

1 code implementation4 Oct 2022 Wen-Yan Lin, Siying Liu, Bing Tian Dai, Hongdong Li

We use the model to develop a classification scheme which suppresses the impact of noise while preserving semantic cues.

Image Classification

Shell Theory: A Statistical Model of Reality

1 code implementation IEEE Transactions on Pattern Analysis and Machine Intelligence 2021 Wen-Yan Lin, Siying Liu, Changhao Ren, Ngai-Man Cheung, Hongdong Li, Yasuyuki Matsushita

The foundational assumption of machine learning is that the data under consideration is separable into classes; while intuitively reasonable, separability constraints have proven remarkably difficult to formulate mathematically.

Anomaly Detection BIG-bench Machine Learning +6

Dual-SLAM: A framework for robust single camera navigation

no code implementations23 Sep 2020 Huajian Huang, Wen-Yan Lin, Siying Liu, Dong Zhang, Sai-Kit Yeung

As local pose estimation is ill-conditioned, local pose estimation failures happen regularly, making the overall SLAM system brittle.

Pose Estimation Simultaneous Localization and Mapping

Image Matching: An Application-oriented Benchmark

no code implementations12 Sep 2017 Jia-Wang Bian, Le Zhang, Yun Liu, Wen-Yan Lin, Ming-Ming Cheng, Ian D. Reid

To this end, we present a uniform benchmark with novel evaluation metrics and a large-scale dataset for evaluating the overall performance of image matching methods.


BING: Binarized Normed Gradients for Objectness Estimation at 300fps

no code implementations CVPR 2014 Ming-Ming Cheng, Ziming Zhang, Wen-Yan Lin, Philip Torr

Training a generic objectness measure to produce a small set of candidate object windows, has been shown to speed up the classical sliding window object detection paradigm.

object-detection Object Detection

DAISY Filter Flow: A Generalized Discrete Approach to Dense Correspondences

no code implementations CVPR 2014 Hongsheng Yang, Wen-Yan Lin, Jiangbo Lu

Fundamental challenges to such an image or scene alignment task are often multifold, which render many existing techniques fall short of producing dense correspondences robustly and efficiently.

Optical Flow Estimation

ImageSpirit: Verbal Guided Image Parsing

no code implementations16 Oct 2013 Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel Crook, Niloy Mitra, Philip Torr

This allows us to formulate the image parsing problem as one of jointly estimating per-pixel object and attribute labels from a set of training images.

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