Menglin Jia

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Visual Properties

Visual Classification

Accurate Localization

Top Venues

Int. J. Autom. Comput.

Publications

Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. CoRR (2024)
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
Emergent Correspondence from Image Diffusion. NeurIPS (2023)
Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong
VideoGLUE: Video General Understanding Evaluation of Foundation Models. CoRR (2023)
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan
Emergent Correspondence from Image Diffusion. CoRR (2023)
Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang
PromptFusion: Decoupling Stability and Plasticity for Continual Learning. CoRR (2023)
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim
Visual Prompt Tuning. ECCV (33) (2022)
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim
Visual Prompt Tuning. CoRR (2022)
Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge J. Belongie
Searching for Structure in Unfalsifiable Claims. CoRR (2022)
Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie
When in Doubt: Improving Classification Performance with Alternating Normalization. CoRR (2021)
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
Exploring Visual Engagement Signals for Representation Learning. CoRR (2021)
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
Exploring Visual Engagement Signals for Representation Learning. ICCV (2021)
Menglin Jia, Bor-Chun Chen, Zuxuan Wu, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
Rethinking Nearest Neighbors for Visual Classification. CoRR (2021)
Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie
When in Doubt: Improving Classification Performance with Alternating Normalization. EMNLP (Findings) (2021)
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
Intentonomy: A Dataset and Study Towards Human Intent Understanding. CVPR (2021)
Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge J. Belongie
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. CoRR (2020)
Hao Wu, Zhaowei Chen, Guohui Tian, Qing Ma, Menglin Jia
Item Ownership Relationship Semantic Learning Strategy for Personalized Service Robot. Int. J. Autom. Comput. 17 (3) (2020)
Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim
Deep Multi-Modal Sets. CoRR (2020)
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
Intentonomy: a Dataset and Study towards Human Intent Understanding. CoRR (2020)
Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge J. Belongie
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. ECCV (1) (2020)
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie
Class-Balanced Loss Based on Effective Number of Samples. CoRR (2019)
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie
Class-Balanced Loss Based on Effective Number of Samples. CVPR (2019)
Menglin Jia, Yichen Zhou, Mengyun Shi, Bharath Hariharan
A Deep-Learning-Based Fashion Attributes Detection Model. CoRR (2018)