Introduction

SMILE lab focuses on the frontier research of applied machine learning, social media analytics, human-computer interaction, and high-level image and video understanding. Our research is driven by the explosion of diverse multimedia from the Internet, personal or publicly available photos and videos. We start by treating fundamental theory from learning algorithm as the soul of machine intelligence and arm it with visual perception. What follows is a synergetic media learning system that not only actively collects massive visual information from the environment, but also processes and responds human interactively with precise analysis and possible suggestions. We approach visual problem "what is it?" but we are more interested in "what should we do?" or "what does it mean?" and hopefully tackle them by interacting with machines when data are in large-scale and parsing process is extremely complex, e.g., mining social relations among billions of images, recommending through visual cues, total understanding and early prediction of events and activities under social context.

Machine Learning

Data Mining

Computer Vision

Supported By

NSF
NIH
DoD
Air Force Office of Scientific Research
Army
DoHSS
IC
NEU
ONR
ARL
DARPA
IARPA
LincolnLab
Samsung
Google
Adobe
UB
ALERT

News

Sep

NeurIPS 2019: Decision for submission accepted!

“PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation” has been accepted for poster presentation at the conference and will be published in the conference proceedings!

Congratulations to Can!

Jul

6 ICCV Papers Accepted!

Out of 11 ICCV paper submissions this year, 6 were accepted!!! Great job and congratulations to all authors:

Yulun(737), Kunpeng(2717, 4211) , Joe(3137), Lichen(3326), Kai(5378)

Jun

Outstanding Reviewer Award – FG2019

Congrats Joseph Robinson!

Jun

CVPR 2019 – Analysis and Modeling of Faces and Gestures: Best Paper Award

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image“is hereby recognized as this as the best work in terms of performance and presentation. Congratulations to the authors: Yu Deng, Jiaolong Yang, Sicheng Xu, Dong Chen, Yunde Jia, Xin Tong!

Mar

Senior Member Grade Elevation Notification

Congratulations to Sheng Li on becoming an IEEE Senior member!

Feb

FG’19 Tutorial Proposal Acceptance!

Visual Recognition of Families In the Wild” has been accepted at the FG’19 Conference. Congratulations to Joseph Robinson and Ming Shao

Feb

IEEE Transactions on Neural Networks and Learning Systems Paper Accepted for Publication!

Deep Decision Tree Transfer Boosting” by Jiang, Shuhui ; Mao, Haiyi; Ding, Zhengming ; Fu, Yun, has now received final approval for publication.

Awards

2015 NEU Outstanding Graduate Student Award (Topmost student award in NEU) (Sheng Li)
ICDM 2014 NSF Student Travel Award (Zhengming Ding, Kang Li, and Sheng Li)
ACM MM 2014 Student Travel Award (Chengcheng Jia, Shuyang Wang, and Zhengming Ding)
DHS Homland Security- STEM Career Development Program fellowship award (Joseph Robinson)
Northeastern University’s ‘Huntington 100′ Award (Joseph Robinson)
ECE Department Senior Capstone Competition (1st Place) award (Joseph Robinson)
2014 SDM Best Paper Award from SIAM SDM! Only 1 out of 384 submissions! (Sheng Li and Prof. Fu)
CDSP Research Workshop Award for Best Poster award (Joseph Robinson)
IEEE and ECE Department Winner for T-shirt Design Contest (Joseph Robinson)
ACM MM 2014 Student Travel Award (Chengcheng Jia, Shuyang Wang, and Zhengming Ding)