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 candidate at Cornell University, advised by Claire Cardie and Serge Belongie. My research interest include fine-grained recognition using both visual and textual information.


VPT teaser

Visual Prompt Tuning

ECCV 2022

Menglin Jia*, Luming Tang*, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim (*Equal contribution)

when in doubt teaser

Rethinking Nearest Neighbors for Visual Classification


Menglin Jia, Bor-Chun Chen, Zuxuan Wu, Claire Cardie, Serge Belongie, Ser-Nam Lim

when in doubt teaser

When in Doubt: Improving Classification Performance with Alternating Normalization

Findings of EMNLP 2021

Featured in the kexue.fm from a probability theory's pespective

Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie

Intentonomy teaser

Exploring Visual Engagement Signals for Representation Learning

ICCV 2021

Menglin Jia*, Zuxuan Wu*, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim (*Equal contribution)

Special thanks to Marseille who is featured in the teaser photo!

Intentonomy teaser

Intentonomy: a Dataset and Study towards Human Intent Understanding

CVPR 2021 (oral)

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

Fashionpedia teaser

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

ECCV 2020 (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)

Intentonomy teaser

Deep Multi-Modal Sets


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

Class Balanced Loss teaser

Class-Balanced Loss Based on Effective Number of Samples

CVPR 2019

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