• AI @ Google X + DeepMind
  • Computer Vision
  • Research Engineer

Hi, this is Jason Lin|

 NEW!  Featured in USC Viterbi News for journey to better the world with frontier AI algorithms.
 NEW!  Deep Learning & Adversarial Attack open source demos AdVis and DeepVis are now live.

About Me


Jason Lin

Hi! I am currently pursuing graduated with a M.S. in Computer Science at Georgia Institute of Technology, specializing in Machine Learning and Computer Vision . Before that, I earned my dual degree in Computer Science & Business Administration at the University of Southern California.

My M.S. research interests were in object detection, 3D understanding, and deep learning, with an emphasis on perception for autonomy and human-centered Artificial Intelligence. During undergrad I specialized in computer systems and security.

I've been fortunate to live in many places: New York, Los Angeles, Atlanta, Philadelphia, Hong Kong, San Jose, and (currently) Palo Alto. In my spare time, I enjoy hiking outdoors, exploring new places, reading inspirational bios/stories, and indulging in history.



Zorro: the masked multimodal Transformer
Adria Recasens, Jason Lin, Joao Carreira, et al.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, under review
paper. 2023.


Diffusion Models are Visual Reasoners
Jason Lin*, Maya Srikanth*.
The 37th AAAI Conference on Artificial Intelligence (AAAI)
, under review
paper. poster. 2023.


A Distribution-Aware Approach to Dense Retrieval
Jason Lin, Justin Young, Simran Arora.
Best Poster Award / CS224N, advised by Christopher Manning (Stanford)
paper. poster. 2022.


IOTA: A Cryptographic Perspective
Bryan Baek, Jason Lin.
Blockchain and Cryptocurrency, advised by Vladimir Kolesnikov (Georgia Tech)
paper. Technical Report 2019.


AutoML: Automatic Data Augmentation with LSTM and Policy Optimization
Yousef Emam, Jason Lin.
Reinforcement Learning and Adaptive Control, advised by Byron Boots (UW)
paper. code. 2019.


Interactive Classification for Deep Learning Interpretation
Angel Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Demo

arXiv. code. 2018.


AdVis: Visualizing and Attributing ML Attacks to scalable Adversarial Inputs
Jason Lin, Dilara Soylu.
Advanced Computer Vision, advised by James Hays (Georgia Tech)
poster. code. YouTube. 2018.


Detecting Graphical Regions of Interest with Gaussian Process Bayesian Optimization
Jason Lin, Hakki Mert Torun, Weihua Zhu, Jingjing Pan.
Probabilistic Graphical Models, advised by Faramarz Fekri (Georgia Tech)
slides. 2018.

Research interests: computer vision, language reasoning, deep learning  
Contact: jlin401 [at] gatech [dot] edu






Faber Labs - Founder & CEO


Lyft Level 5 - Autonomous Vehicle R&D


Google X - AI Resident



3D Detection with RGB-D

Indoor scene understanding

BubblePop: Gamify Awareness

Opinion exchanges & Inclusion offline

Automatic Augmentation

Image Augmentation from experience


CVPR: Visualizing Classifers

Interactive Deep Learning Classification

Advanced CV: AdVis.js

Exploring Adversarial Attacks

PGM - Regions of Interest

Graphical Models in Saliency Detection


Graduate Computer Vision

SIFT, Projection, Scene Understanding

Cue: Bias-busting VR

Exposing unconscious bias by Q&A


Food-tracking IoT Intelligence


Data Driven Stock Analytics

Keplerian VR

Immersive team collaboration in VR



Location Aware Speakers


Biosensor in Olympics


Never miss a beat

Speed of Sound

NLP: Summarize & review on the fly


VR Food Experience


Innovation Insight

Computer vision for the blind


Study group & chatrooms


Android personal assistant


Pencil sketch to SVG


Sentiment Analysis Webapp

Data Visualization

D3.js rendering



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