A Deep-Learning-Based Fashion Attributes Detection Model. - Menglin Jia; Yichen Zhou; Mengyun Shi; Bharath Hariharan (CoRR, 2018)

Class-Balanced Loss Based on Effective Number of Samples. - Yin Cui; Menglin Jia; Tsung-Yi Lin; Yang Song 009; Serge J. Belongie (CVPR, 2019)

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 (ECCV (1), 2020)

Deep Multi-Modal Sets. - Austin Reiter; Menglin Jia; Pu Yang; Ser-Nam Lim (CoRR, 2020)

Item Ownership Relationship Semantic Learning Strategy for Personalized Service Robot. - Hao Wu 065; Zhaowei Chen; Guohui Tian; Qing Ma; Menglin Jia (Int. J. Autom. Comput., 2020)

Intentonomy: A Dataset and Study Towards Human Intent Understanding. - Menglin Jia; Zuxuan Wu; Austin Reiter; Claire Cardie; Serge J. Belongie; Ser-Nam Lim (CVPR, 2021)

When in Doubt: Improving Classification Performance with Alternating Normalization. - Menglin Jia; Austin Reiter; Ser-Nam Lim; Yoav Artzi; Claire Cardie (EMNLP (Findings), 2021)

Exploring Visual Engagement Signals for Representation Learning. - Menglin Jia; Zuxuan Wu; Austin Reiter; Claire Cardie; Serge J. Belongie; Ser-Nam Lim (ICCV, 2021)

Rethinking Nearest Neighbors for Visual Classification. - Menglin Jia; Bor-Chun Chen; Zuxuan Wu; Claire Cardie; Serge J. Belongie; Ser-Nam Lim (CoRR, 2021)

Visual Prompt Tuning. - Menglin Jia; Luming Tang; Bor-Chun Chen; Claire Cardie; Serge J. Belongie; Bharath Hariharan; Ser-Nam Lim (ECCV (33), 2022)

Searching for Structure in Unfalsifiable Claims. - Peter Ebert Christensen; Frederik Warburg; Menglin Jia; Serge J. Belongie (CoRR, 2022)

Emergent Correspondence from Image Diffusion. - Luming Tang; Menglin Jia; Qianqian Wang; Cheng Perng Phoo; Bharath Hariharan (NeurIPS, 2023)

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. - Bo He 004; Hengduo Li; Young Kyun Jang; Menglin Jia; Xuefei Cao; Ashish Shah; Abhinav Shrivastava; Ser-Nam Lim (CVPR, 2024)

PromptFusion: Decoupling Stability and Plasticity for Continual Learning. - Haoran Chen; Zuxuan Wu; Xintong Han; Menglin Jia; Yu-Gang Jiang 001 (ECCV (87), 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 001; et al. (CoRR, 2024)

Adaptive Caching for Faster Video Generation with Diffusion Transformers. - Kumara Kahatapitiya; Haozhe Liu; Sen He 001; Ding Liu; Menglin Jia; Chenyang Zhang; Michael S. Ryoo; Tian Xie 003 (CoRR, 2024)

VideoGLUE: Video General Understanding Evaluation of Foundation Models. - Liangzhe Yuan; Nitesh Bharadwaj Gundavarapu; Long Zhao 003; Hao Zhou 014; Yin Cui; Lu Jiang 004; Xuan Yang; Menglin Jia; Tobias Weyand; Luke Friedman; Mikhail Sirotenko; Huisheng Wang; et al. (Trans. Mach. Learn. Res., 2024)

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 001; et al. (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 (CoRR, 2025)