activity
20152025
most citedNetwork Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

742 citations · 2.5k across the 92 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

cs.CV2016★ 60 cited

RMPE: Regional Multi-person Pose Estimation

Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai +1

Multi-person pose estimation in the wild is challenging. Although state-of-the-art human detectors have demonstrated good performance, small errors in localization and recognition…

cs.CV2016

Refining Geometry from Depth Sensors using IR Shading Images

Gyeongmin Choe, Jaesik Park, Yu-Wing Tai +1

We propose a method to refine geometry of 3D meshes from a consumer level depth camera, e.g. Kinect, by exploiting shading cues captured from an infrared (IR) camera. A major benef…

cs.NE2016★ 742 cited

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Hengyuan Hu, Rui Peng, Yu-Wing Tai +1

State-of-the-art neural networks are getting deeper and wider. While their performance increases with the increasing number of layers and neurons, it is crucial to design an effici…

cs.CV2016★ 1 cited

Deep Saliency with Encoded Low level Distance Map and High Level Features

Gayoung Lee, Yu-Wing Tai, Junmo Kim

Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene. These advances have demonstrated superior resu…

cs.LG2016★ 53 cited

Look, Listen and Learn - A Multimodal LSTM for Speaker Identification

Jimmy Ren, Yongtao Hu, Yu-Wing Tai +4

Speaker identification refers to the task of localizing the face of a person who has the same identity as the ongoing voice in a video. This task not only requires collective perce…