Ser-Nam Lim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
85
Venues
16
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
85 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Next Patch Prediction for AutoRegressive Visual Generation. | Yatian Pang, Peng Jin, Shuo Yang, Bin Zhu, Bin Lin, Chaoran Feng, Zhenyu Tang, Liuhan Chen, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan |
| 2026 | ACL | BOOKAGENT: Orchestrating Safety-Aware Visual Narratives via Multi-Agent Cognitive Calibration. | Bo Gao, Chang Liu, Yuyang Miao, Siyuan Ma, Ser-Nam Lim |
| 2025 | CVPR | Generative Zero-Shot Composed Image Retrieval. | Lan Wang, Wei Ao, Vishnu Naresh Boddeti, Ser-Nam Lim |
| 2025 | EMNLP | Scaling Up Temporal Domain Generalization via Temporal Experts Averaging. | Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer |
| 2025 | ICCV | Towards Cross-Modal Backward-Compatible Representation Learning for Vision-Language Models. | Young Kyun Jang, Ser-Nam Lim |
| 2025 | ICCV | 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 |
| 2025 | ICCV | DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses. | Yatian Pang, Bin Zhu, Bin Bin, Mingzhe Zheng, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan |
| 2025 | ICLR | LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision. | Jiani Huang, Ziyang Li, Mayur Naik, Ser-Nam Lim |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs. | Feilong Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim |
| 2025 | ICML | Improving Soft Unification with Knowledge Graph Embedding Methods. | Xuanming Cui, Chionh Wei Peng, Adriel Kuek, Ser-Nam Lim |
| 2025 | ICML | LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence. | Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao |
| 2025 | SIGGRAPH | DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data. | Yuanpeng Tu, Xi Chen, Ser-Nam Lim, Hengshuang Zhao |
| 2025 | WACV | Metric Compatible Training for Online Backfilling in Large-Scale Retrieval. | Seonguk Seo, Mustafa Gkhan Uzunbas, Bohyung Han, Sara Cao, Ser-Nam Lim |
| 2024 | CVPR | 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 |
| 2024 | CVPR | On the Robustness of Large Multimodal Models Against Image Adversarial Attacks. | Xuanming Cui, Alejandro Aparcedo, Young Kyun Jang, Ser-Nam Lim |
| 2024 | CVPR | Few-Shot Object Detection with Foundation Models. | Guangxing Han, Ser-Nam Lim |
| 2024 | CVPR | UVIS: Unsupervised Video Instance Segmentation. | Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava |
| 2024 | CVPR | 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 |
| 2024 | CVPR | UniMODE: Unified Monocular 3D Object Detection. | Zhuoling Li, Xiaogang Xu, Ser-Nam Lim, Hengshuang Zhao |
| 2024 | CVPR | Composing Object Relations and Attributes for Image-Text Matching. | Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Object Recognition as Next Token Prediction. | Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim |
| 2024 | ECCV | Fast Encoding and Decoding for Implicit Video Representation. | Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava |
| 2024 | ECCV | Spherical Linear Interpolation and Text-Anchoring for Zero-Shot Composed Image Retrieval. | Young Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim |
| 2024 | ECCV | 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 |
| 2024 | ICASSP | Language-Free Compositional Action Generation via Decoupling Refinement. | Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim |
| 2024 | ICLR | Video Decomposition Prior: Editing Videos Layer by Layer. | Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava |
| 2023 | AAAI | Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. | Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania |
| 2023 | BMVC | Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. | Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | HNeRV: A Hybrid Neural Representation for Videos. | Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava |
| 2023 | CVPR | 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 |
| 2023 | CVPR | TIPI: Test Time Adaptation with Transformation Invariance. | A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H. S. Torr |
| 2023 | CVPR | 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 |
| 2023 | ICCV | Open-vocabulary Panoptic Segmentation with Embedding Modulation. | Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao |
| 2023 | ICCV | 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 |
| 2023 | ICCV | BT | Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim |
| 2023 | ICML | Graph Inductive Biases in Transformers without Message Passing. | Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim |
| 2022 | BMVC | CNeRV: Content-adaptive Neural Representation for Visual Data. | Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava |
| 2022 | CVPR | Neural Image Recolorization for Creative Domains. | Boyi Li, Serge J. Belongie, Ser-Nam Lim, Abe Davis |
| 2022 | CVPR | 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 |
| 2022 | CVPR | ObjectFormer for Image Manipulation Detection and Localization. | Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang |
| 2022 | ECCV | Diversified Dynamic Routing for Vision Tasks. | Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim |
| 2022 | ECCV | Visual Prompt Tuning. | Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim |
| 2022 | ECCV | Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions. | Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim |
| 2022 | ECCV | Totems: Physical Objects for Verifying Visual Integrity. | Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba |
| 2022 | ECCV | Object-Centric Unsupervised Image Captioning. | Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim |
| 2022 | ECCV | MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. | Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba |
| 2021 | BMVC | Deep Video Inpainting Detection. | Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim |
| 2021 | BMVC | GTA: Global Temporal Attention for Video Action Understanding. | Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava |
| 2021 | CVPR | Efficient Object Embedding for Spliced Image Retrieval. | Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim |
| 2021 | CVPR | Intentonomy: A Dataset and Study Towards Human Intent Understanding. | Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim |
| 2021 | CVPR | On Feature Normalization and Data Augmentation. | Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger |
| 2021 | EMNLP | Cross-Modal Retrieval Augmentation for Multi-Modal Classification. | Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter |
| 2021 | EMNLP | When in Doubt: Improving Classification Performance with Alternating Normalization. | Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie |
| 2021 | ICCV | Exploring Visual Engagement Signals for Representation Learning. | Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim |
| 2021 | ICCV | Robustness and Generalization via Generative Adversarial Training. | Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Joint Audio-Visual Deepfake Detection. | Yipin Zhou, Ser-Nam Lim |
| 2021 | ICLR | Combining Label Propagation and Simple Models out-performs Graph Neural Networks. | Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson |
| 2020 | AAAI | Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. | Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis |
| 2020 | CVPR | One-Shot Domain Adaptation for Face Generation. | Chao Yang, Ser-Nam Lim |
| 2020 | ECCV | What Makes Fake Images Detectable? Understanding Properties that Generalize. | Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola |
| 2020 | ECCV | Quantization Guided JPEG Artifact Correction. | Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava |
| 2020 | ECCV | A Metric Learning Reality Check. | Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim |
| 2020 | ECCV | Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. | Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein |
| 2020 | ECCV | Curriculum Manager for Source Selection in Multi-source Domain Adaptation. | Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava |
| 2020 | ICML | Differentiating through the Frchet Mean. | Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge J. Belongie, Ser-Nam Lim, Christopher De Sa |
| 2019 | ICCV | Enhancing Adversarial Example Transferability With an Intermediate Level Attack. | Qian Huang, Isay Katsman, Zeqi Gu, Horace He, Serge J. Belongie, Ser-Nam Lim |
| 2019 | ICCV | Cross-X Learning for Fine-Grained Visual Categorization. | Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim |
| 2018 | AAAI | Regularizing Deep Networks Using Efficient Layerwise Adversarial Training. | Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim |
| 2018 | ECCV | DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation. | Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gkhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis |
| 2017 | CVPR | A Reinforcement Learning Approach to the View Planning Problem. | Mustafa Devrim Kaba, Mustafa Gkhan Uzunbas, Ser-Nam Lim |
| 2016 | WACV | Multiscale fully convolutional network with application to industrial inspection. | Xiao Bian, Ser-Nam Lim, Ning Zhou |
| 2016 | WACV | Tooth guard: A vision system for detecting missing tooth in rope mine shovel. | Ser-Nam Lim, Joao Soares, Ning Zhou |
| 2012 | CVPR | Simultaneous image segmentation and 3D plane fitting for RGB-D sensors - An iterative framework. | Li Guan, Ting Yu, Peter H. Tu, Ser-Nam Lim |
| 2011 | ISVC | Multi-class Object Layout with Unsupervised Image Classification and Object Localization. | Ser-Nam Lim, Gianfranco Doretto, Jens Rittscher |
| 2009 | CVPR | Monitoring, recognizing and discovering social networks. | Ting Yu, Ser-Nam Lim, Kedar A. Patwardhan, Nils Krahnstoever |
| 2007 | ACCV | Task Scheduling in Large Camera Networks. | Ser-Nam Lim, Larry S. Davis, Anurag Mittal |
| 2005 | CVPR | Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. | Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios |
| 2004 | ICIP | Uncalibrated stereo rectification for automatic 3d surveillance. | Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios |
| 2004 | ICIP | Multi-level fast multipole method for thin plate spline evaluation. | Ali Zandifar, Ser-Nam Lim, Ramani Duraiswami, Nail A. Gumerov, Larry S. Davis |
| 2003 | AVSS | A Scalable Image-Based Multi-Camera Visual Surveillance System. | Ser-Nam Lim, Larry S. Davis, Ahmed M. Elgammal |