Ser-Nam Lim
Ser-Nam manages Facebook AI's Computer Vision teams in the New York and Cambridge offices. He is currently an effort to detect media manipulation that has the potential to spread misinformation. Ser-Nam's research interests lie in the understanding of generative models, particularly in large-scale generation, anomaly detection, representation learning, media manipulation, and multimodal analysis. He earned his Ph.D. in computer vision at the University of Maryland, College Park. Prior to Facebook, he worked at GE Research.
Ser-Nam's Publications
February 07, 2020
RESEARCH
INTEGRITY
Generate, Segment and Refine: Towards Generic Manipulation Segmentation
Detecting manipulated images has become a significant emerging challenge. The advent of image sharing platforms and the easy availability of advanced photo editing software have resulted in a large quantities of manipulated images being shared…
Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry S. Davis,
February 07, 2020
October 28, 2019
RESEARCH
COMPUTER VISION
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Neural networks are vulnerable to adversarial examples, malicious inputs crafted to fool trained models. Adversarial examples often exhibit black-box transfer, meaning that adversarial examples for one model can fool another model. However,…
Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge Belongie, Ser-Nam Lim,
October 28, 2019
