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2020 – today
- 2021
[c40]Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger:
On Feature Normalization and Data Augmentation. CVPR 2021: 12383-12392- [c39]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 - [c38]Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim:
Efficient Object Embedding for Spliced Image Retrieval. CVPR 2021: 14965-14975 - [c37]Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson:
Combining Label Propagation and Simple Models out-performs Graph Neural Networks. ICLR 2021 - [i41]Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim:
Deep Video Inpainting Detection. CoRR abs/2101.11080 (2021) - [i40]Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim:
THAT: Two Head Adversarial Training for Improving Robustness at Scale. CoRR abs/2103.13612 (2021) - [i39]Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim:
New Benchmarks for Learning on Non-Homophilous Graphs. CoRR abs/2104.01404 (2021) - [i38]Sethuraman Sankaran, David Yang, Ser-Nam Lim:
Multimodal Fusion Refiner Networks. CoRR abs/2104.03435 (2021) - [i37]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) - [i36]Shir Gur, Natalia Neverova, Chris Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter:
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. CoRR abs/2104.08108 (2021) - [i35]Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson:
Edge Proposal Sets for Link Prediction. CoRR abs/2106.15810 (2021) - [i34]Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa:
Equivariant Manifold Flows. CoRR abs/2107.08596 (2021) - [i33]Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim:
Robustness and Generalization via Generative Adversarial Training. CoRR abs/2109.02765 (2021) - 2020
- [c36]Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis:
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. AAAI 2020: 13058-13065 - [c35]Chao Yang, Ser-Nam Lim:
One-Shot Domain Adaptation for Face Generation. CVPR 2020: 5920-5929 - [c34]Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein:
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. ECCV (4) 2020: 1-17 - [c33]Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola:
What Makes Fake Images Detectable? Understanding Properties that Generalize. ECCV (26) 2020: 103-120 - [c32]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. ECCV (8) 2020: 293-309 - [c31]Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava:
Curriculum Manager for Source Selection in Multi-source Domain Adaptation. ECCV (14) 2020: 608-624 - [c30]Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim:
A Metric Learning Reality Check. ECCV (25) 2020: 681-699 - [c29]Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge J. Belongie, Ser-Nam Lim, Christopher De Sa:
Differentiating through the Fréchet Mean. ICML 2020: 6393-6403 - [c28]Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson:
Better Set Representations For Relational Reasoning. NeurIPS 2020 - [c27]Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa:
Neural Manifold Ordinary Differential Equations. NeurIPS 2020 - [c26]Shruti Agarwal, Hany Farid, Tarek El-Gaaly, Ser-Nam Lim:
Detecting Deep-Fake Videos from Appearance and Behavior. WIFS 2020: 1-6 - [i32]Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger:
On Feature Normalization and Data Augmentation. CoRR abs/2002.11102 (2020) - [i31]Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge J. Belongie, Ser-Nam Lim, Christopher De Sa:
Differentiating through the Fréchet Mean. CoRR abs/2003.00335 (2020) - [i30]Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim:
Deep Multi-Modal Sets. CoRR abs/2003.01607 (2020) - [i29]Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson:
Set-Structured Latent Representations. CoRR abs/2003.04448 (2020) - [i28]Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim:
A Metric Learning Reality Check. CoRR abs/2003.08505 (2020) - [i27]Chao Yang, Ser-Nam Lim:
One-Shot Domain Adaptation For Face Generation. CoRR abs/2003.12869 (2020) - [i26]Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava:
Quantization Guided JPEG Artifact Correction. CoRR abs/2004.09320 (2020) - [i25]Shruti Agarwal, Tarek El-Gaaly, Hany Farid, Ser-Nam Lim:
Detecting Deep-Fake Videos from Appearance and Behavior. CoRR abs/2004.14491 (2020) - [i24]Aaron Lou, Derek Lim
, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa:
Neural Manifold Ordinary Differential Equations. CoRR abs/2006.10254 (2020) - [i23]Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava:
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation. CoRR abs/2007.01261 (2020) - [i22]Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim:
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. CoRR abs/2007.12684 (2020) - [i21]Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim:
PyTorch Metric Learning. CoRR abs/2008.09164 (2020) - [i20]Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola:
What makes fake images detectable? Understanding properties that generalize. CoRR abs/2008.10588 (2020) - [i19]Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson:
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks. CoRR abs/2010.13993 (2020) - [i18]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) - [i17]Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava:
Analyzing and Mitigating Compression Defects in Deep Learning. CoRR abs/2011.08932 (2020) - [i16]Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava:
GTA: Global Temporal Attention for Video Action Understanding. CoRR abs/2012.08510 (2020)
2010 – 2019
- 2019
- [c25]Qian Huang, Isay Katsman, Zeqi Gu, Horace He, Serge J. Belongie, Ser-Nam Lim:
Enhancing Adversarial Example Transferability With an Intermediate Level Attack. ICCV 2019: 4732-4741 - [c24]Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. ICCV 2019: 8241-8250 - [i15]Bor-Chun Chen, Larry S. Davis, Ser-Nam Lim:
An Analysis of Object Embeddings for Image Retrieval. CoRR abs/1905.11903 (2019) - [i14]Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge J. Belongie, Ser-Nam Lim:
Enhancing Adversarial Example Transferability with an Intermediate Level Attack. CoRR abs/1907.10823 (2019) - [i13]Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry S. Davis, Jun Li, Jian Yang, Ser-Nam Lim:
Cross-X Learning for Fine-Grained Visual Categorization. CoRR abs/1909.04412 (2019) - [i12]Zuxuan Wu, Ser-Nam Lim, Larry Davis, Tom Goldstein:
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. CoRR abs/1910.14667 (2019) - [i11]Xuefei Cao, Bor-Chun Chen, Ser-Nam Lim:
Unsupervised Deep Metric Learning via Auxiliary Rotation Loss. CoRR abs/1911.07072 (2019) - [i10]Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim:
Fine-grained Synthesis of Unrestricted Adversarial Examples. CoRR abs/1911.09058 (2019) - [i9]Chao Yang, Ser-Nam Lim:
Unconstrained Facial Expression Transfer using Style-based Generator. CoRR abs/1912.06253 (2019) - [i8]Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim:
Measuring Dataset Granularity. CoRR abs/1912.10154 (2019) - 2018
- [c23]Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
Regularizing Deep Networks Using Efficient Layerwise Adversarial Training. AAAI 2018: 4008-4015 - [c22]Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa:
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. CVPR 2018: 3752-3761 - [c21]Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis:
DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation. ECCV (5) 2018: 535-552 - [c20]Yi Wei, Ming-Ching Chang, Yiming Ying, Ser-Nam Lim, Siwei Lyu:
Explain Black-box Image Classifications Using Superpixel-based Interpretation. ICPR 2018: 1640-1645 - [i7]Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis:
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation. CoRR abs/1804.05827 (2018) - [i6]Qian Huang, Zeqi Gu, Isay Katsman, Horace He, Pian Pawakapan, Zhiqiu Lin, Serge J. Belongie, Ser-Nam Lim:
Intermediate Level Adversarial Attack for Enhanced Transferability. CoRR abs/1811.08458 (2018) - [i5]Horace He, Aaron Lou, Qingxuan Jiang, Isay Katsman, Pian Pawakapan, Serge J. Belongie, Ser-Nam Lim:
Adversarial Example Decomposition. CoRR abs/1812.01198 (2018) - 2017
- [c19]Mustafa Devrim Kaba, Mustafa Gökhan Uzunbas, Ser-Nam Lim:
A Reinforcement Learning Approach to the View Planning Problem. CVPR 2017: 5094-5102 - [c18]Wenbo Li, Longyin Wen, Ming-Ching Chang, Ser-Nam Lim, Siwei Lyu:
Adaptive RNN Tree for Large-Scale Human Action Recognition. ICCV 2017: 1453-1461 - [c17]Swami Sankaranarayanan, Arpit Jain, Ser-Nam Lim:
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks. ICCV 2017: 3582-3590 - [i4]Swami Sankaranarayanan, Arpit Jain, Ser-Nam Lim:
Guided Perturbations: Self Corrective Behavior in Convolutional Neural Networks. CoRR abs/1703.07928 (2017) - [i3]Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
Regularizing deep networks using efficient layerwise adversarial training. CoRR abs/1705.07819 (2017) - [i2]Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa:
Unsupervised Domain Adaptation for Semantic Segmentation with GANs. CoRR abs/1711.06969 (2017) - 2016
- [c16]Wei Wang, Kun Duan, Tai-Peng Tian, Ting Yu, Ser-Nam Lim, Hairong Qi:
Visual tracking based on object appearance and structure preserved local patches matching. AVSS 2016: 145-151 - [c15]Xiao Bian, Ser-Nam Lim, Ning Zhou:
Multiscale fully convolutional network with application to industrial inspection. WACV 2016: 1-8 - [c14]Ser-Nam Lim, Joao Soares, Ning Zhou:
Tooth guard: A vision system for detecting missing tooth in rope mine shovel. WACV 2016: 1-7 - [i1]Mustafa Devrim Kaba, Mustafa Gökhan Uzunbas, Ser-Nam Lim:
A Reinforcement Learning Approach to Sensor Planning for 3D Models. CoRR abs/1610.06204 (2016) - 2013
- [c13]Ser-Nam Lim, Li Guan, Shubao Liu, Xingwei Yang:
Automatic Registration of Smooth Object Image to 3D CAD Model for Industrial Inspection Applications. 3DV 2013: 79-86 - 2012
- [c12]Li Guan, Ting Yu, Peter H. Tu, Ser-Nam Lim:
Simultaneous image segmentation and 3D plane fitting for RGB-D sensors - An iterative framework. CVPR Workshops 2012: 49-56 - 2011
- [c11]Ting Yu, Xiaoming Liu, Ser-Nam Lim, Nils Krahnstoever, Peter H. Tu:
Automatic surveillance video matting using a shape prior. ICCV Workshops 2011: 1761-1768 - [c10]Ser-Nam Lim, Gianfranco Doretto, Jens Rittscher:
Multi-class Object Layout with Unsupervised Image Classification and Object Localization. ISVC (1) 2011: 573-585 - 2010
- [c9]Ming-Ching Chang, Nils Krahnstoever, Ser-Nam Lim, Ting Yu:
Group Level Activity Recognition in Crowded Environments across Multiple Cameras. AVSS 2010: 56-63
2000 – 2009
- 2009
- [c8]Ting Yu, Ser-Nam Lim, Kedar A. Patwardhan, Nils Krahnstoever:
Monitoring, recognizing and discovering social networks. CVPR 2009: 1462-1469 - [p1]Nils Krahnstoever, Ting Yu, Ser-Nam Lim, Kedar A. Patwardhan:
Collaborative Control of Active Cameras in Large-Scale Surveillance. Multi-Camera Networks 2009: 165-188 - 2007
- [c7]Ser-Nam Lim, Larry S. Davis, Anurag Mittal:
Task Scheduling in Large Camera Networks. ACCV (1) 2007: 397-407 - [c6]Ser-Nam Lim, Larry S. Davis:
An Ease-of-Use Stereo-Based Particle Filter for Tracking Under Occlusion. Workshop on Human Motion 2007: 225-239 - 2006
- [b1]Ser-Nam Lim:
Sensor, Motion and Temporal Planning. University of Maryland, College Park, MD, USA, 2006 - [j1]Ser-Nam Lim, Larry S. Davis, Anurag Mittal:
Constructing task visibility intervals for video surveillance. Multim. Syst. 12(3): 211-226 (2006) - 2005
- [c5]Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios:
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. CVPR (1) 2005: 1071-1078 - 2004
- [c4]Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios:
Uncalibrated stereo rectification for automatic 3d surveillance. ICIP 2004: 1357-1360 - [c3]Ali Zandifar, Ser-Nam Lim, Ramani Duraiswami, Nail A. Gumerov, Larry S. Davis:
Multi-level fast multipole method for thin plate spline evaluation. ICIP 2004: 1683-1686 - 2003
- [c2]Ser-Nam Lim, Larry S. Davis, Ahmed M. Elgammal:
A Scalable Image-Based Multi-Camera Visual Surveillance System. AVSS 2003: 205-212 - [c1]Ser-Nam Lim, Ahmed M. Elgammal, Larry S. Davis:
Image-based pan-tilt camera control in a multi-camera surveillance environment. ICME 2003: 645-648
Coauthor Index
aka: Larry S. Davis
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