Menglin Jia

According to our database, Menglin Jia authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Image Generation with a Sphere Encoder.

Kaiyu Yue, Menglin Jia, Ji Hou, Tom Goldstein

CoRR, February, 2026

2025

PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation.

Yuanhao Cai, Kunpeng Li, Menglin Jia, Jialiang Wang, Junzhe Sun, Feng Liang, Weifeng Chen, Felix Juefei-Xu, Chu Wang, Ali K. Thabet, Xiaoliang Dai, Xuan Ju, Alan L. Yuille, Ji Hou

CoRR, December, 2025

OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory.

Zhaochong An, Menglin Jia, Haonan Qiu, Zijian Zhou, Xiaoke Huang, Zhiheng Liu, Weiming Ren, Kumara Kahatapitiya, Ding Liu, Sen He, Chenyang Zhang, Tao Xiang, Fanny Yang, Serge J. Belongie, Tian Xie

CoRR, December, 2025

MarDini: Masked Auto-regressive Diffusion for Video Generation at Scale.

Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan Camilo Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa

Trans. Mach. Learn. Res., 2025

Zero-Shot Vision Encoder Grafting via LLM Surrogates.

Kaiyu Yue, Vasu Singla, Menglin Jia, John Kirchenbauer, Rifaa Qadri, Zikui Cai, Abhinav Bhatele, Furong Huang, Tom Goldstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Adaptive Caching for Faster Video Generation With Diffusion Transformers.

Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S. Ryoo, Tian Xie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

VideoGLUE: Video General Understanding Evaluation of Foundation Models.

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

Trans. Mach. Learn. Res., 2024

MarDini: Masked Autoregressive Diffusion for Video Generation at Scale.

Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan C. Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa

CoRR, 2024

PromptFusion: Decoupling Stability and Plasticity for Continual Learning.

Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang

Proceedings of the Computer Vision - ECCV 2024, 2024

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding.

Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Emergent Correspondence from Image Diffusion.

Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Searching for Structure in Unfalsifiable Claims.

Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge J. Belongie

CoRR, 2022

Visual Prompt Tuning.

Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Rethinking Nearest Neighbors for Visual Classification.

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

CoRR, 2021

Exploring Visual Engagement Signals for Representation Learning.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

When in Doubt: Improving Classification Performance with Alternating Normalization.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Intentonomy: A Dataset and Study Towards Human Intent Understanding.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Item Ownership Relationship Semantic Learning Strategy for Personalized Service Robot.

Hao Wu, Zhaowei Chen, Guohui Tian, Qing Ma, Menglin Jia

Int. J. Autom. Comput., 2020

Deep Multi-Modal Sets.

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

CoRR, 2020

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset.

Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge J. Belongie

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Class-Balanced Loss Based on Effective Number of Samples.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Deep-Learning-Based Fashion Attributes Detection Model.

Menglin Jia, Yichen Zhou, Mengyun Shi, Bharath Hariharan

CoRR, 2018