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Khoi-Nguyen C. Mac

Applied Scientist

Amazon Ads

knmac AT amazon DOT com

github.com/knmac

Updated on 2023/01/10. 2021, Khoi-Nguyen C. Mac

About

I am an Applied Scientist at Amazon Ads. I obtained my Ph.D. degree in 2021, from the University of Illinois at Urbana-Champaign (UIUC), Department of Electrical and Computer Engineering (ECE). In 2014, I graduated with an M.E. degree in Multimedia Communication Systems from Eurecom, Télécom ParisTech. I received my B.S. degree in 2011 from the University of Science, Vietnam National University.

My research centers on improving the efficiency of temporal information modeling in deep networks across different domains, including vision and audio. Specifically, I am interested in applications in the area of video analysis, such as action recognition, detection, and sampling.

Research Interests

Action Detection and Recognition, Machine Learning, Computer Vision, and Signal Processing.

Current and Past Affiliations

Amazon Ads
2021-Present
UIUC
2016-2021
C3SR
2016-2020
Facebook Reality Labs
Summer 2020
Texas Instruments
Summer 2019
IBM Watson
Summer 2018
IBM Watson
Summer 2017

Full publication list on Google Scholar.

Patents

  1. Khoi-Nguyen C. Mac, Raymond Yeh, Dhiraj Joshi, Minh N. Do, Rogerio S. Feris, and Jinjun Xiong. "Action Detection by Exploiting Motion in Receptive Fields", US20190354835A1, filed in May 2018, issued in Dec 2022.

Journal Publications and Preprints

Efficient Human Vision Inspired Action Recognition using Adaptive Spatiotemporal Sampling

Khoi-Nguyen C. Mac, Minh N. Do, and Minh P. Vo

IEEE Transactions on Image Processing (TIP), August 2023

PDF Code

Automatic Curation of Sports Highlights using Multimodal Excitement Features

Michele Merler, Khoi-Nguyen C. Mac, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, and Rogerio S. Feris

IEEE Transactions on Multimedia (TMM), May 2019

Project PDF


Conference Publications

Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection

Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogerio S. Feris, and Minh N. Do

International Conference on Computer Vision (ICCV), October 2019 (Oral)

Project PDF Code

Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition

Khoi-Nguyen C. Mac, Xiaodong Cui, Wei Zhang, and Michael Picheny

International Speech Communication Association (INTERSPEECH), September 2019 (Oral)

Project PDF

Multimodal Smart Interactive Presentation System

Hoang-An Le, Khoi-Nguyen C. Mac, Truong-An Pham, Vinh-Tiep Nguyen, and Minh-Triet Tran

International Conference on Human-Computer Interaction (HCI International), July 2013

PDF

Realtime Pointing Gesture Recognition and Applications in Multi-user Interaction

Hoang-An Le, Khoi-Nguyen C. Mac, Truong-An Pham, and Minh-Triet Tran

Asian Conference on Intelligent Information and Database Systems (ACIIDS), March 2013

PDF

SIM-Smart Interactive Map with Pointing Gestures

Hoang-An Le, Khoi-Nguyen C. Mac, Truong-An Pham, Vinh-Tiep Nguyen, Minh-Triet Tran, and Anh-Duc Duong

Intelligent Human-Machine Systems and Cybernetics (IHMSC), August 2012

PDF


Workshop Publications

The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues

Michele Merler, Dhiraj Joshi, Khoi-Nguyen C. Mac, Quoc-Bao Nguyen, John Kent, Stephen Hammer, Jinjun Xiong, Minh N. Do, John R. Smith, and Rogerio S. Feris

Computer Vision and Pattern Recognition Workshops (CVPRW), August 2018

PDF

SHREC'16 Track: Partial Shape Queries for 3D Object Retrieval

I. Pratikakis, M.A. Savelonas, F. Arnaoutoglou, G. Ioannakis, A. Koutsoudis, T. Theoharis, M.T. Tran, V.T. Nguyen, V.K. Pham, H.D. Nguyen, H.A. Le, B.H. Tran, Q.H. To, M.B. Truong, T.V. Phan, M.D. Nguyen, T.A. Than, K-N.C. Mac, M.N. Do, A.D. Duong, T. Furuya, R. Ohbuchi, M. Aono, S. Tashiro, D. Pickup, X. Sun, P.L. Rosin, and R.R. Martin

Eurographics 2016 Workshop on 3D Object Retrieval (3DOR), May 2016

PDF

  • Join Amazon Ads as a Research Scientist.
  • Successfully defend my doctoral dissertation:
    "Learning Efficient Temporal Information in Deep Networks:
    from the Viewpoints of Applications and Modeling".
  • Start my internship at Facebook Reality Labs.
  • Pass my Preliminary Examination for the Ph.D. degree.
  • Attend ICCV2019 in Seoul, Korea.
  • Our video is selected as "Video of the Month" in CSL. [link]
  • Our paper "Learning motion in feature space" is accepted as oral presentation by ICCV 2019.
  • Our paper is accepted as oral presentation by INTERSPEECH 2019.
  • Start my internship at Texas Instruments.
  • Our paper is accepted by IEEE, TMM.
  • Start my internship at IBM Watson.
  • Give a talk at CSL Student Conference 2018.
  • Our auto-curation of tennis highlights is deployed for US Open tournament 2017.
    [Official Highlights] [Demo] [IBM's] [Newyork Times'] [SportTechie's]
  • Our auto-curation of tennis highlights is deployed for Wimbledon tournament 2017.
    [Official Highlights] [Demo] [IBM's] [CNET's] [FoxNews']
  • Start my internship at IBM Watson.
  • Start Ph.D. program at UIUC.