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Menglin Jia
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Journal Articles
- 2020
- [j1]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): 390-402 (2020)
Conference and Workshop Papers
- 2024
- [c9]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. CVPR 2024: 13504-13514 - [c8]Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang:
PromptFusion: Decoupling Stability and Plasticity for Continual Learning. ECCV (87) 2024: 196-212 - 2023
- [c7]Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan:
Emergent Correspondence from Image Diffusion. NeurIPS 2023 - 2022
- [c6]Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim:
Visual Prompt Tuning. ECCV (33) 2022: 709-727 - 2021
- [c5]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: 12986-12996 - [c4]Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie:
When in Doubt: Improving Classification Performance with Alternating Normalization. EMNLP (Findings) 2021: 1716-1723 - [c3]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Exploring Visual Engagement Signals for Representation Learning. ICCV 2021: 4186-4197 - 2020
- [c2]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: 316-332 - 2019
- [c1]Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019: 9268-9277
Informal and Other Publications
- 2024
- [i16]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 abs/2404.05726 (2024) - [i15]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:
MarDini: Masked Autoregressive Diffusion for Video Generation at Scale. CoRR abs/2410.20280 (2024) - [i14]Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S. Ryoo, Tian Xie:
Adaptive Caching for Faster Video Generation with Diffusion Transformers. CoRR abs/2411.02397 (2024) - 2023
- [i13]Haoran Chen, Zuxuan Wu, Xintong Han, Menglin Jia, Yu-Gang Jiang:
PromptFusion: Decoupling Stability and Plasticity for Continual Learning. CoRR abs/2303.07223 (2023) - [i12]Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan:
Emergent Correspondence from Image Diffusion. CoRR abs/2306.03881 (2023) - [i11]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 abs/2307.03166 (2023) - 2022
- [i10]Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim:
Visual Prompt Tuning. CoRR abs/2203.12119 (2022) - [i9]Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge J. Belongie:
Searching for Structure in Unfalsifiable Claims. CoRR abs/2209.00495 (2022) - 2021
- [i8]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Exploring Visual Engagement Signals for Representation Learning. CoRR abs/2104.07767 (2021) - [i7]Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie:
When in Doubt: Improving Classification Performance with Alternating Normalization. CoRR abs/2109.13449 (2021) - [i6]Menglin Jia, Bor-Chun Chen, Zuxuan Wu, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Rethinking Nearest Neighbors for Visual Classification. CoRR abs/2112.08459 (2021) - 2020
- [i5]Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim:
Deep Multi-Modal Sets. CoRR abs/2003.01607 (2020) - [i4]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 abs/2004.12276 (2020) - [i3]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Intentonomy: a Dataset and Study towards Human Intent Understanding. CoRR abs/2011.05558 (2020) - 2019
- [i2]Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. CoRR abs/1901.05555 (2019) - 2018
- [i1]Menglin Jia, Yichen Zhou, Mengyun Shi, Bharath Hariharan:
A Deep-Learning-Based Fashion Attributes Detection Model. CoRR abs/1810.10148 (2018)
Coauthor Index
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