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Ser-Nam Lim

Facebook Research, New York, NY, USA

Cross-Modal Retrieval Augmentation for Multi-Modal Classification


Apr 16, 2021
Shir Gur, Natalia Neverova, Chris Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter


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Exploring Visual Engagement Signals for Representation Learning


Apr 15, 2021
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim


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Multimodal Fusion Refiner Networks


Apr 08, 2021
Sethuraman Sankaran, David Yang, Ser-Nam Lim

* 11 pages, 6 figures 

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New Benchmarks for Learning on Non-Homophilous Graphs


Apr 03, 2021
Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim

* In Workshop on Graph Learning Benchmarks (GLB 2021) at WWW 2021. 10 pages 

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THAT: Two Head Adversarial Training for Improving Robustness at Scale


Mar 25, 2021
Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim


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Deep Video Inpainting Detection


Jan 26, 2021
Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim


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GTA: Global Temporal Attention for Video Action Understanding


Dec 15, 2020
Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava


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Analyzing and Mitigating Compression Defects in Deep Learning


Nov 17, 2020
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava


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Intentonomy: a Dataset and Study towards Human Intent Understanding


Nov 11, 2020
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim


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Combining Label Propagation and Simple Models Out-performs Graph Neural Networks


Nov 02, 2020
Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson


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What makes fake images detectable? Understanding properties that generalize


Aug 24, 2020
Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola


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PyTorch Metric Learning


Aug 20, 2020
Kevin Musgrave, Serge Belongie, Ser-Nam Lim

* Code and documentation is available at https://www.github.com/KevinMusgrave/pytorch-metric-learning 

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MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation


Jul 24, 2020
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim


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Curriculum Manager for Source Selection in Multi-Source Domain Adaptation


Jul 02, 2020
Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava


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Neural Manifold Ordinary Differential Equations


Jun 18, 2020
Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa

* Submitted to NeurIPS 2020 

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Detecting Deep-Fake Videos from Appearance and Behavior


Apr 29, 2020
Shruti Agarwal, Tarek El-Gaaly, Hany Farid, Ser-Nam Lim


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Quantization Guided JPEG Artifact Correction


Apr 17, 2020
Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava


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One-Shot Domain Adaptation For Face Generation


Mar 28, 2020
Chao Yang, Ser-Nam Lim

* Accepted to CVPR 2020 

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A Metric Learning Reality Check


Mar 18, 2020
Kevin Musgrave, Serge Belongie, Ser-Nam Lim


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Set-Structured Latent Representations


Mar 09, 2020
Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin Benson

* Preprint, 17 pages 

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On Feature Normalization and Data Augmentation


Mar 06, 2020
Boyi Li, Felix Wu, Ser-Nam Lim, Serge Belongie, Kilian Q. Weinberger

* Code is available at https://github.com/Boyiliee/MoEx 

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Differentiating through the Fréchet Mean


Mar 05, 2020
Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge Belongie, Ser-Nam Lim, Christopher De Sa

* Preprint, 35 pages, 9 figures 

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Deep Multi-Modal Sets


Mar 03, 2020
Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim

* 10 pages, 3 figures, 2 tables 

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Measuring Dataset Granularity


Dec 21, 2019
Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge Belongie, Ser-Nam Lim

* Code is available at: https://github.com/richardaecn/dataset-granularity 

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Unconstrained Facial Expression Transfer using Style-based Generator


Dec 12, 2019
Chao Yang, Ser-Nam Lim


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Fine-grained Synthesis of Unrestricted Adversarial Examples


Nov 20, 2019
Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge Belongie, Ser-Nam Lim


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Unsupervised Deep Metric Learning via Auxiliary Rotation Loss


Nov 16, 2019
Xuefei Cao, Bor-Chun Chen, Ser-Nam Lim


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