Hi! I'm Menglin Jia (贾梦霖 in Chinese, KMnP in chemical elements --"jia meng lin" is the mandarin pronunciation of those chemical elements), an Information Science PhD student at Cornell University, advised by Claire Cardie and Serge Belongie. My research interest include fine-grained recognition using both visual and textual information.

Publications

Intentonomy teaser

Intentonomy: a Dataset and Study towards Human Intent Understanding

2021 CVPR (oral)

Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim

arXiv Data & Code
Fashionpedia teaser

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

2020 ECCV (oral)

Featured in the ECCV 2020 Daily and BEST OF ECCV

Menglin Jia*, Mengyun Shi*, Mikhail Sirotenko*, Yin Cui*, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge Belongie (*Equal contribution)

arXiv Project API Code Video Challenge
Intentonomy teaser

Deep Multi-Modal Sets

2019

Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim

arXiv
Class Balanced Loss teaser

Class-Balanced Loss Based on Effective Number of Samples

2019 CVPR

Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie

arXiv Code Slide

Activities