Ser-Nam Lim

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 169

Top Venues

CoRR

CVPR

ICCV

NeurIPS

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Zhuoling Li, Xiaogang Xu, Ser-Nam Lim, Hengshuang Zhao
UniMODE: Unified Monocular 3D Object Detection. CoRR (2024)
Hui Xian Grace Lim, Xuanming Cui, Yogesh S. Rawat, Ser-Nam Lim
AirSketch: Generative Motion to Sketch. CoRR (2024)
Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence. CoRR (2024)
Young Kyun Jang, Donghyun Kim, Ser-Nam Lim
Distilling Vision-Language Pretraining for Efficient Cross-Modal Retrieval. CoRR (2024)
Young Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim
Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval. CoRR (2024)
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 (2024)
Young Kyun Jang, Donghyun Kim, Zihang Meng, Dat Huynh, Ser-Nam Lim
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval. CoRR (2024)
Young Kyun Jang, Ser-Nam Lim
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models. CoRR (2024)
Dongmin Park, Zhaofang Qian, Guangxing Han, Ser-Nam Lim
Mitigating Dialogue Hallucination for Large Multi-modal Models via Adversarial Instruction Tuning. CoRR (2024)
Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava
Composing Object Relations and Attributes for Image-Text Matching. CoRR (2024)
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
Video Decomposition Prior: Editing Videos Layer by Layer. ICLR (2024)
Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim
Language-Free Compositional Action Generation via Decoupling Refinement. ICASSP (2024)
Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava
UVIS: Unsupervised Video Instance Segmentation. CoRR (2024)
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi
Computationally Budgeted Continual Learning: What Does Matter? CoRR (2023)
Jiani Huang, Ziyang Li, David Jacobs, Mayur Naik, Ser-Nam Lim
LASER: Neuro-Symbolic Learning of Semantic Video Representations. CoRR (2023)
Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? CoRR (2023)
Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim
Language-free Compositional Action Generation via Decoupling Refinement. CoRR (2023)
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi
Computationally Budgeted Continual Learning: What Does Matter? CVPR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. CoRR (2023)
Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CoRR (2023)
Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
Towards Scalable Neural Representation for Diverse Videos. CoRR (2023)
Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim
Object Recognition as Next Token Prediction. CoRR (2023)
Xi Chen, Yau Shing Jonathan Cheung, Ser-Nam Lim, Hengshuang Zhao
ScribbleSeg: Scribble-based Interactive Image Segmentation. CoRR (2023)
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CVPR (2023)
A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H. S. Torr
TIPI: Test Time Adaptation with Transformation Invariance. CVPR (2023)
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
Graph Inductive Biases in Transformers without Message Passing. ICML (2023)
Ping-yeh Chiang, Yipin Zhou, Omid Poursaeed, Satya Narayan Shukla, Ashish Shah, Tom Goldstein, Ser-Nam Lim
Universal Pyramid Adversarial Training for Improved ViT Performance. CoRR (2023)
Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi
Label Delay in Continual Learning. CoRR (2023)
Isay Katsman, Eric Ming Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser-Nam Lim, Christopher De Sa
Riemannian Residual Neural Networks. CoRR (2023)
Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
HNeRV: A Hybrid Neural Representation for Videos. CVPR (2023)
Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser-Nam Lim
Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models. CoRR (2023)
Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
Towards Scalable Neural Representation for Diverse Videos. CVPR (2023)
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang
Detecting Everything in the Open World: Towards Universal Object Detection. CVPR (2023)
Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? ICCV (2023)
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang
Detecting Everything in the Open World: Towards Universal Object Detection. CoRR (2023)
Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
HNeRV: A Hybrid Neural Representation for Videos. CoRR (2023)
Xuanimng Cui, Alejandro Aparcedo, Young Kyun Jang, Ser-Nam Lim
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks. CoRR (2023)
Zhuoling Li, Chuanrui Zhang, Wei-Chiu Ma, Yipin Zhou, Linyan Huang, Haoqian Wang, Ser-Nam Lim, Hengshuang Zhao
VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection. CoRR (2023)
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
: Backward-compatible Training with Basis Transformation. ICCV (2023)
Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim
CLAMP: Contrastive LAnguage Model Prompt-tuning. CoRR (2023)
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip H. S. Torr, Adel Bibi
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web. CoRR (2023)
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements. CoRR (2023)
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. BMVC (2023)
Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
Open-vocabulary Panoptic Segmentation with Embedding Modulation. CoRR (2023)
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. AAAI (2023)
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim
Raising the Bar on the Evaluation of Out-of-Distribution Detection. ICCV (Workshops) (2023)
Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
Open-vocabulary Panoptic Segmentation with Embedding Modulation. ICCV (2023)
Seonguk Seo, Mustafa Gökhan Uzunbas, Bohyung Han, Sara Cao, Joena Zhang, Tai-Peng Tian, Ser-Nam Lim
Online Backfilling with No Regret for Large-Scale Image Retrieval. CoRR (2023)
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
: Backward-compatible Training with Basis Transformation. CoRR (2022)
Kennard Ng, Ser-Nam Lim, Gim Hee Lee
VRAG: Region Attention Graphs for Content-Based Video Retrieval. CoRR (2022)
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim
Visual Prompt Tuning. ECCV (33) (2022)
Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
ObjectFormer for Image Manipulation Detection and Localization. CVPR (2022)
Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
CNeRV: Content-adaptive Neural Representation for Visual Data. BMVC (2022)
Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
CNeRV: Content-adaptive Neural Representation for Visual Data. CoRR (2022)
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
PyTorch Adapt. CoRR (2022)
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. CVPR (2022)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
Totems: Physical Objects for Verifying Visual Integrity. CoRR (2022)
Yifei Zhou, Renyu Li, Hayden Housen, Ser-Nam Lim
GAPX: Generalized Autoregressive Paraphrase-Identification X. CoRR (2022)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
Totems: Physical Objects for Verifying Visual Integrity. ECCV (14) (2022)
Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness. CoRR (2022)
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim
Visual Prompt Tuning. CoRR (2022)
Kai Sheng Tai, Tai-Peng Tian, Ser-Nam Lim
Spartan: Differentiable Sparsity via Regularized Transportation. CoRR (2022)
Boyi Li, Serge J. Belongie, Ser-Nam Lim, Abe Davis
Neural Image Recolorization for Creative Domains. CVPR Workshops (2022)
Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim
Diversified Dynamic Routing for Vision Tasks. ECCV Workshops (4) (2022)
Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. ECCV (27) (2022)
Botos Csaba, Adel Bibi, Yanwei Li, Philip Torr, Ser-Nam Lim
Diversified Dynamic Routing for Vision Tasks. CoRR (2022)
Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. NeurIPS (2022)
Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. CoRR (2022)
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
Sample-dependent Adaptive Temperature Scaling for Improved Calibration. CoRR (2022)
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
Benchmarking Validation Methods for Unsupervised Domain Adaptation. CoRR (2022)
Peirong Liu, Rui Wang, Pengchuan Zhang, Omid Poursaeed, Yipin Zhou, Xuefei Cao, Sreya Dutta Roy, Ashish Shah, Ser-Nam Lim
A Unified Model for Tracking and Image-Video Detection Has More Power. CoRR (2022)
Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions. ECCV (12) (2022)
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CoRR (2022)
Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim
Object-Centric Unsupervised Image Captioning. ECCV (36) (2022)
Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
ObjectFormer for Image Manipulation Detection and Localization. CoRR (2022)
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim
Raising the Bar on the Evaluation of Out-of-Distribution Detection. CoRR (2022)
Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim
Self-appearance-aided Differential Evolution for Motion Transfer. CoRR (2021)
Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie
When in Doubt: Improving Classification Performance with Alternating Normalization. CoRR (2021)
Toru Lin, Jacob Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola
Learning to Ground Multi-Agent Communication with Autoencoders. NeurIPS (2021)
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
A Frequency Perspective of Adversarial Robustness. CoRR (2021)
Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson
Edge Proposal Sets for Link Prediction. CoRR (2021)
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. CoRR (2021)
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
Unsupervised Domain Adaptation: A Reality Check. CoRR (2021)
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
Exploring Visual Engagement Signals for Representation Learning. CoRR (2021)
Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
NeRV: Neural Representations for Videos. CoRR (2021)
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
Exploring Visual Engagement Signals for Representation Learning. ICCV (2021)
Menglin Jia, Bor-Chun Chen, Zuxuan Wu, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
Rethinking Nearest Neighbors for Visual Classification. CoRR (2021)
Shir Gur, Natalia Neverova, Chris Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. EMNLP (Findings) (2021)
Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim
New Benchmarks for Learning on Non-Homophilous Graphs. CoRR (2021)
Keyu Tian, Chen Lin, Ser-Nam Lim, Wanli Ouyang, Puneet K. Dokania, Philip H. S. Torr
A Continuous Mapping For Augmentation Design. NeurIPS (2021)
Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger
On Feature Normalization and Data Augmentation. CVPR (2021)
Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie
When in Doubt: Improving Classification Performance with Alternating Normalization. EMNLP (Findings) (2021)
Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
NeRV: Neural Representations for Videos. NeurIPS (2021)
Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
Equivariant Manifold Flows. CoRR (2021)
Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim
Efficient Object Embedding for Spliced Image Retrieval. CVPR (2021)
Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim
Robustness and Generalization via Generative Adversarial Training. CoRR (2021)
Toru Lin, Minyoung Huh, Chris Stauffer, Ser-Nam Lim, Phillip Isola
Learning to Ground Multi-Agent Communication with Autoencoders. CoRR (2021)
Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim
THAT: Two Head Adversarial Training for Improving Robustness at Scale. CoRR (2021)
Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim
Object-Centric Unsupervised Image Captioning. CoRR (2021)
Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim
Deep Video Inpainting Detection. BMVC (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ser-Nam Lim