Lim, Ser Nam

94 publications

ICLRW 2025 DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks Amin Karimi Monsefi, Kishore Prakash Sailaja, Ali Alilooee, Ser-Nam Lim, Rajiv Ramnath

ICCV 2025 DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses Yatian Pang, Bin Zhu, Bin Lin, Mingzhe Zheng, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan

NeurIPS 2025 ESCA: Contextualizing Embodied Agents via Scene-Graph Generation Jiani Huang, Amish Sethi, Matthew Kuo, Mayank Keoliya, Neelay Velingker, JungHo Jung, Ser-Nam Lim, Ziyang Li, Mayur Naik

ICLR 2025 Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath

CVPR 2025 Generative Zero-Shot Composed Image Retrieval Lan Wang, Wei Ao, Vishnu Naresh Boddeti, Ser-Nam Lim

NeurIPS 2025 Hierarchical Fine-Grained Preference Optimization for Physically Plausible Video Generation Harold Haodong Chen, Haojian Huang, Qifeng Chen, Harry Yang, Ser-Nam Lim

ICML 2025 Improving Soft Unification with Knowledge Graph Embedding Methods Xuanming Cui, Chionh Wei Peng, Adriel Kuek, Ser-Nam Lim

ICLR 2025 Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs Feilong Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim

ICML 2025 LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao

ICLR 2025 LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision Jiani Huang, Ziyang Li, Mayur Naik, Ser-Nam Lim

WACV 2025 Metric Compatible Training for Online Backfilling in Large-Scale Retrieval Seonguk Seo, Mustafa Gokhan Uzunbas, Bohyung Han, Sara Cao, Ser-Nam Lim

ICCV 2025 Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models Xuran Ma, Yexin Liu, Yaofu Liu, Xianfeng Wu, Mingzhe Zheng, Zihao Wang, Ser-Nam Lim, Harry Yang

ICCV 2025 Towards Cross-Modal Backward-Compatible Representation Learning for Vision-Language Models Young Kyun Jang, Ser-nam Lim

NeurIPS 2025 When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding Yan Shu, Hangui Lin, Yexin Liu, Yan Zhang, Gangyan Zeng, Yan Li, Yu Zhou, Ser-Nam Lim, Harry Yang, Nicu Sebe

NeurIPS 2024 AirSketch: Generative Motion to Sketch Hui Xian Grace Lim, Xuanming Cui, Yogesh S Rawat, Ser-Nam Lim

CVPR 2024 Composing Object Relations and Attributes for Image-Text Matching Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava

ECCV 2024 Fast Encoding and Decoding for Implicit Video Representation Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava

CVPR 2024 Few-Shot Object Detection with Foundation Models Guangxing Han, Ser-Nam Lim

CoLLAs 2024 From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip Torr, Adel Bibi

CVPR 2024 Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi

NeurIPS 2024 Label Delay in Online Continual Learning Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H.S. Torr, Adel Bibi

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

CVPR 2024 Object Recognition as Next Token Prediction Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim

CVPR 2024 On the Robustness of Large Multimodal Models Against Image Adversarial Attacks Xuanming Cui, Alejandro Aparcedo, Young Kyun Jang, Ser-Nam Lim

ECCV 2024 Spherical Linear Interpolation and Text-Anchoring for Zero-Shot Composed Image Retrieval Young Kyun Jang, Dat B Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim

CVPRW 2024 UVIS: Unsupervised Video Instance Segmentation Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava

ICLR 2024 Video Decomposition Prior: Editing Videos Layer by Layer Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava

CVPR 2024 Visual Delta Generator with Large Multi-Modal Models for Semi-Supervised Composed Image Retrieval Young Kyun Jang, Donghyun Kim, Zihang Meng, Dat Huynh, Ser-Nam Lim

ECCV 2024 uCAP: An Unsupervised Prompting Method for Vision-Language Models A. Tuan Nguyen, Kai Sheng Tai, Bor-Chun Chen, Satya Narayan Shukla, Hanchao Yu, Philip Torr, Tai-Peng Tian, Ser-Nam Lim

ICCV 2023 BT^2: Backward-Compatible Training with Basis Transformation Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Taipeng Tian, Ser-Nam Lim

CVPR 2023 Computationally Budgeted Continual Learning: What Does Matter? Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H.S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi

CVPR 2023 Detecting Everything in the Open World: Towards Universal Object Detection Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang

ICML 2023 Graph Inductive Biases in Transformers Without Message Passing Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim

CVPR 2023 HNeRV: A Hybrid Neural Representation for Videos Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava

ICMLW 2023 Metric Compatible Training for Online Backfilling in Large-Scale Retrieval Seonguk Seo, Mustafa Uzunbas, Bohyung Han, Xuefei Cao, Joena Zhang, Taipeng Tian, Ser-Nam Lim

CVPR 2023 Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H.S. Torr, Ser-Nam Lim

ICCV 2023 Open-Vocabulary Panoptic Segmentation with Embedding Modulation Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao

ICCVW 2023 Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim

ICCV 2023 Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H.S. Torr, Adel Bibi, Bernard Ghanem

NeurIPS 2023 Riemannian Residual Neural Networks Isay Katsman, Eric Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser Nam Lim, Christopher M De Sa

AAAI 2023 Sample-Dependent Adaptive Temperature Scaling for Improved Calibration Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania

CVPR 2023 TIPI: Test Time Adaptation with Transformation Invariance A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H.S. Torr

NeurIPS 2023 Test-Time Distribution Normalization for Contrastively Learned Visual-Language Models Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser Nam Lim

CVPR 2023 Towards Scalable Neural Representation for Diverse Videos Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava

NeurIPS 2023 Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements Gaurav Shrivastava, Ser Nam Lim, Abhinav Shrivastava

CVPR 2022 AdaViT: Adaptive Vision Transformers for Efficient Image Recognition Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim

ECCVW 2022 Diversified Dynamic Routing for Vision Tasks Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim

NeurIPS 2022 FedSR: A Simple and Effective Domain Generalization Method for Federated Learning A. Tuan Nguyen, Philip Torr, Ser Nam Lim

NeurIPS 2022 Few-Shot Fast-Adaptive Anomaly Detection Ze Wang, Yipin Zhou, Rui Wang, Tsung-Yu Lin, Ashish Shah, Ser Nam Lim

NeurIPS 2022 GAPX: Generalized Autoregressive Paraphrase-Identification X Yifei Zhou, Renyu Li, Hayden Housen, Ser Nam Lim

NeurIPS 2022 HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser Nam Lim, Jiwen Lu

ECCV 2022 MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba

CVPRW 2022 Neural Image Recolorization for Creative Domains Boyi Li, Serge J. Belongie, Ser-Nam Lim, Abe Davis

ECCV 2022 Object-Centric Unsupervised Image Captioning Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim

CVPR 2022 ObjectFormer for Image Manipulation Detection and Localization Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang

NeurIPS 2022 Spartan: Differentiable Sparsity via Regularized Transportation Kai Sheng Tai, Taipeng Tian, Ser Nam Lim

ECCV 2022 Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim

ECCV 2022 Totems: Physical Objects for Verifying Visual Integrity Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba

NeurIPS 2022 Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness Francesco Pinto, Harry Yang, Ser Nam Lim, Philip Torr, Puneet Dokania

ECCV 2022 Visual Prompt Tuning Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim

NeurIPS 2021 A Continuous Mapping for Augmentation Design Keyu Tian, Chen Lin, Ser Nam Lim, Wanli Ouyang, Puneet Dokania, Philip Torr

ICCVW 2021 Analyzing and Mitigating JPEG Compression Defects in Deep Learning Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava

ICLR 2021 Combining Label Propagation and Simple Models Out-Performs Graph Neural Networks Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin Benson

ICCV 2021 Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim

CVPR 2021 Efficient Object Embedding for Spliced Image Retrieval Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim

NeurIPS 2021 Equivariant Manifold Flows Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser Nam Lim, Christopher M De Sa

ICMLW 2021 Equivariant Manifold Flows Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa

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

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

ICCV 2021 Joint Audio-Visual Deepfake Detection Yipin Zhou, Ser-Nam Lim

NeurIPS 2021 Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser Nam Lim

NeurIPS 2021 Learning to Ground Multi-Agent Communication with Autoencoders Toru Lin, Jacob Huh, Christopher Stauffer, Ser Nam Lim, Phillip Isola

NeurIPSW 2021 Mix-MaxEnt: Improving Accuracy and Uncertainty Estimates of Deterministic Neural Networks Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip Torr, Puneet K. Dokania

NeurIPS 2021 NeRV: Neural Representations for Videos Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser Nam Lim, Abhinav Shrivastava

CVPR 2021 On Feature Normalization and Data Augmentation Boyi Li, Felix Wu, Ser-Nam Lim, Serge Belongie, Kilian Q. Weinberger

ICCV 2021 Robustness and Generalization via Generative Adversarial Training Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge Belongie, Ser-Nam Lim

ECCV 2020 A Metric Learning Reality Check Kevin Musgrave, Serge Belongie, Ser-Nam Lim

NeurIPS 2020 Better Set Representations for Relational Reasoning Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser Nam Lim, Austin R Benson

ECCV 2020 Curriculum Manager for Source Selection in Multi-Source Domain Adaptation Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava

ICML 2020 Differentiating Through the Fréchet Mean Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge Belongie, Ser-Nam Lim, Christopher De Sa

AAAI 2020 Generate, Segment, and Refine: Towards Generic Manipulation Segmentation Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis

ECCV 2020 Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein

NeurIPS 2020 Neural Manifold Ordinary Differential Equations Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser Nam Lim, Christopher M De Sa

ECCV 2020 Quantization Guided JPEG Artifact Correction Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava

ECCV 2020 What Makes Fake Images Detectable? Understanding Properties That Generalize Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola

AAAI 2018 Regularizing Deep Networks Using Efficient Layerwise Adversarial Training Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim

CVPR 2017 A Reinforcement Learning Approach to the View Planning Problem Mustafa Devrim Kaba, Mustafa Gokhan Uzunbas, Ser Nam Lim

ICCV 2017 Adaptive RNN Tree for Large-Scale Human Action Recognition Wenbo Li, Longyin Wen, Ming-Ching Chang, Ser Nam Lim, Siwei Lyu

ICCV 2017 Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks Swami Sankaranarayanan, Arpit Jain, Ser Nam Lim

WACV 2016 Multiscale Fully Convolutional Network with Application to Industrial Inspection Xiao Bian, Ser-Nam Lim, Ning Zhou

WACV 2016 Tooth Guard: A Vision System for Detecting Missing Tooth in Rope Mine Shovel Ser-Nam Lim, Joao Soares, Ning Zhou

CVPRW 2012 Simultaneous Image Segmentation and 3D Plane Fitting for RGB-D Sensors - An Iterative Framework Li Guan, Ting Yu, Peter H. Tu, Ser-Nam Lim

CVPR 2009 Monitoring, Recognizing and Discovering Social Networks Ting Yu, Ser-Nam Lim, Kedar A. Patwardhan, Nils Krahnstoever

CVPR 2005 Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios