Personal Information
Organization / Workplace
Washington D.C. Metro Area United States
Occupation
Computer Scientist/Project Leader at Dakota Consulting Incorporated
Industry
Technology / Software / Internet
Website
trecvid.nist.gov
About
I am a computer scientist. Specialized in computer vision. My Ph.D focused on sign language automatic recognition from real-time videos using support vector machines and boosted subunits. I have experience in skin segmentation and tracking and using machine learning methods such as NN, Adaboost and SVM. Currently, I am research scientist at NIST working in TRECVID group (http://www-nlpir.nist.gov/projects/trecvid/) dealing with various video retrieval evaluation tasks.
In my spare time, I like to develop expert advisor systems using MQL for automatic trading based on AI.
Email : [email protected]
cell# : 240-750-9616
Specialties: Research:
Image & video processing, computer vision
Tags
trecvid
video retrieval
computer vision
video search
evaluation
video to text matching
activity detection
multimedia retrieval
benchmark
#trecvid
embeddings
#deep learning
ad-hoc video search
instance search
automatic video captioning
#video analysis
video analysis
#video retrieval
multimedia event detection
multimedia
nist
video captioning
datasets
trec
videos
avs
concept detection
semantic indexing
actev
med
vtt
localization
video understanding
video description
query by example
multimedia ad-hoc search
event detection
video hyperlinking
multimedia understanding
movie summarization
multimedia search
spatio-temporal detection
surveillance detection
multimedia analysis
deep video understanding
movie understanding
fema
airborne video
cap
disaster scene recognition
feature detection
video classifiers
video detection
person recognition
people detection
action
evaluations
benchmarking
text embeddings
deep learning
#vtt
#video-to-text
#person recognition
#scene detection
#instance recognition
#video retireval
#video search
#activity recognition
iacc
See more
Presentations
(23)Documents
(1)Likes
(2)[DSC 2016] 系列活動：李宏毅 / 一天搞懂深度學習
台灣資料科學年會
•
9 years ago
Debug me
Noha Elprince
•
11 years ago
Personal Information
Organization / Workplace
Washington D.C. Metro Area United States
Occupation
Computer Scientist/Project Leader at Dakota Consulting Incorporated
Industry
Technology / Software / Internet
Website
trecvid.nist.gov
About
I am a computer scientist. Specialized in computer vision. My Ph.D focused on sign language automatic recognition from real-time videos using support vector machines and boosted subunits. I have experience in skin segmentation and tracking and using machine learning methods such as NN, Adaboost and SVM. Currently, I am research scientist at NIST working in TRECVID group (http://www-nlpir.nist.gov/projects/trecvid/) dealing with various video retrieval evaluation tasks.
In my spare time, I like to develop expert advisor systems using MQL for automatic trading based on AI.
Email : [email protected]
cell# : 240-750-9616
Specialties: Research:
Image & video processing, computer vision
Tags
trecvid
video retrieval
computer vision
video search
evaluation
video to text matching
activity detection
multimedia retrieval
benchmark
#trecvid
embeddings
#deep learning
ad-hoc video search
instance search
automatic video captioning
#video analysis
video analysis
#video retrieval
multimedia event detection
multimedia
nist
video captioning
datasets
trec
videos
avs
concept detection
semantic indexing
actev
med
vtt
localization
video understanding
video description
query by example
multimedia ad-hoc search
event detection
video hyperlinking
multimedia understanding
movie summarization
multimedia search
spatio-temporal detection
surveillance detection
multimedia analysis
deep video understanding
movie understanding
fema
airborne video
cap
disaster scene recognition
feature detection
video classifiers
video detection
person recognition
people detection
action
evaluations
benchmarking
text embeddings
deep learning
#vtt
#video-to-text
#person recognition
#scene detection
#instance recognition
#video retireval
#video search
#activity recognition
iacc
See more