269 citations · 1.8k across the 57 of their papers we have counts for
6 papers · 1 filter
Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion
Weiyao Lin, Yang Mi, Jianxin Wu +2
Action recognition is an important yet challenging task in computer vision. In this paper, we propose a novel deep-based framework for action recognition, which improves the recogn…
Kill Two Birds With One Stone: Boosting Both Object Detection Accuracy and Speed With adaptive Patch-of-Interest Composition
Shihao Zhang, Weiyao Lin, Ping Lu +2
Object detection is an important yet challenging task in video understanding & analysis, where one major challenge lies in the proper balance between two contradictive factors: det…
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo, Jianxin Wu, Weiyao Lin
We propose an efficient and unified framework, namely ThiNet, to simultaneously accelerate and compress CNN models in both training and inference stages. We focus on the filter lev…
Ensemble of Part Detectors for Simultaneous Classification and Localization
Xiaopeng Zhang, Hongkai Xiong, Weiyao Lin +1
Part-based representation has been proven to be effective for a variety of visual applications. However, automatic discovery of discriminative parts without object/part-level annot…
Learning Correspondence Structures for Person Re-identification
Weiyao Lin, Yang Shen, Junchi Yan +4
This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-ba…
Motion Segmentation via Global and Local Sparse Subspace Optimization
Michael Ying Yang, Hanno Ackermann, Weiyao Lin +2
In this paper, we propose a new framework for segmenting feature-based moving objects under affine subspace model. Since the feature trajectories in practice are high-dimensional a…