A Scalable Image-Based Multi-Camera Visual Surveillance System. - Ser-Nam Lim; Larry S. Davis; Ahmed M. Elgammal (AVSS, 2003)

Image-based pan-tilt camera control in a multi-camera surveillance environment. - Ser-Nam Lim; Ahmed M. Elgammal; Larry S. Davis (ICME, 2003)

Uncalibrated stereo rectification for automatic 3d surveillance. - Ser-Nam Lim; Anurag Mittal; Larry S. Davis; Nikos Paragios (ICIP, 2004)

Multi-level fast multipole method for thin plate spline evaluation. - Ali Zandifar; Ser-Nam Lim; Ramani Duraiswami; Nail A. Gumerov; Larry S. Davis (ICIP, 2004)

Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. - Ser-Nam Lim; Anurag Mittal; Larry S. Davis; Nikos Paragios (CVPR (1), 2005)

Constructing task visibility intervals for a surveillance system. - Ser-Nam Lim; Anurag Mittal; Larry Davis 001 (VSSN@MM, 2005)

Constructing task visibility intervals for video surveillance. - Ser-Nam Lim; Larry S. Davis; Anurag Mittal (Multim. Syst., 2006)

Sensor, Motion and Temporal Planning. - Ser-Nam Lim (2006)

Task Scheduling in Large Camera Networks. - Ser-Nam Lim; Larry S. Davis; Anurag Mittal (ACCV (1), 2007)

An Ease-of-Use Stereo-Based Particle Filter for Tracking Under Occlusion. - Ser-Nam Lim; Larry S. Davis (Workshop on Human Motion, 2007)

Collaborative Control of Active Cameras in Large-Scale Surveillance. - Nils Krahnstoever; Ting Yu 003; Ser-Nam Lim; Kedar A. Patwardhan (Multi-Camera Networks, 2009)

Monitoring, recognizing and discovering social networks. - Ting Yu 003; Ser-Nam Lim; Kedar A. Patwardhan; Nils Krahnstoever (CVPR, 2009)

Group Level Activity Recognition in Crowded Environments across Multiple Cameras. - Ming-Ching Chang; Nils Krahnstoever; Sernam Lim; Ting Yu 003 (AVSS, 2010)

Automatic surveillance video matting using a shape prior. - Ting Yu 003; Xiaoming Liu 002; Sernam Lim; Nils Krahnstoever; Peter H. Tu (ICCV Workshops, 2011)

Multi-class Object Layout with Unsupervised Image Classification and Object Localization. - Ser-Nam Lim; Gianfranco Doretto; Jens Rittscher (ISVC (1), 2011)

Simultaneous image segmentation and 3D plane fitting for RGB-D sensors - An iterative framework. - Li Guan; Ting Yu 003; Peter H. Tu; Ser-Nam Lim (CVPR Workshops, 2012)

Automatic Registration of Smooth Object Image to 3D CAD Model for Industrial Inspection Applications. - Ser-Nam Lim; Li Guan; Shubao Liu; Xingwei Yang (3DV, 2013)

Visual tracking based on object appearance and structure preserved local patches matching. - Wei Wang 063; Kun Duan; Tai-Peng Tian; Ting Yu 003; Ser Nam Lim; Hairong Qi 001 (AVSS, 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 (WACV, 2016)

A Reinforcement Learning Approach to Sensor Planning for 3D Models. - Mustafa Devrim Kaba; Mustafa Gökhan Uzunbas; Ser-Nam Lim (CoRR, 2016)

A Reinforcement Learning Approach to the View Planning Problem. - Mustafa Devrim Kaba; Mustafa Gökhan Uzunbas; Ser-Nam Lim (CVPR, 2017)

Adaptive RNN Tree for Large-Scale Human Action Recognition. - Wenbo Li 001; 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 (ICCV, 2017)

Unsupervised Domain Adaptation for Semantic Segmentation with GANs. - Swami Sankaranarayanan; Yogesh Balaji; Arpit Jain; Ser-Nam Lim; Rama Chellappa (CoRR, 2017)

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

Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. - Swami Sankaranarayanan; Yogesh Balaji; Arpit Jain; Ser Nam Lim; Rama Chellappa (CVPR, 2018)

DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation. - Zuxuan Wu; Xintong Han; Yen-Liang Lin; Mustafa Gökhan Uzunbas; Tom Goldstein; Ser-Nam Lim; Larry S. Davis (ECCV (5), 2018)

Explain Black-box Image Classifications Using Superpixel-based Interpretation. - Yi Wei 006; Ming-Ching Chang; Yiming Ying; Ser Nam Lim; Siwei Lyu (ICPR, 2018)

Intermediate Level Adversarial Attack for Enhanced Transferability. - Qian Huang; Zeqi Gu; Isay Katsman; Horace He; Pian Pawakapan; Zhiqiu Lin; Serge J. Belongie; Ser-Nam Lim (CoRR, 2018)

Adversarial Example Decomposition. - Horace He; Aaron Lou; Qingxuan Jiang; Isay Katsman; Pian Pawakapan; Serge J. Belongie; Ser-Nam Lim (CoRR, 2018)

Enhancing Adversarial Example Transferability With an Intermediate Level Attack. - Qian Huang; Isay Katsman; Zeqi Gu; Horace He; Serge J. Belongie; Ser-Nam Lim (ICCV, 2019)

Cross-X Learning for Fine-Grained Visual Categorization. - Wei Luo 006; Xitong Yang; Xianjie Mo; Yuheng Lu; Larry Davis 001; Jun Li 027; Jian Yang 003; Ser-Nam Lim (ICCV, 2019)

An Analysis of Object Embeddings for Image Retrieval. - Bor-Chun Chen; Larry S. Davis; Ser-Nam Lim (CoRR, 2019)

Unsupervised Deep Metric Learning via Auxiliary Rotation Loss. - Xuefei Cao; Bor-Chun Chen; Ser-Nam Lim (CoRR, 2019)

Fine-grained Synthesis of Unrestricted Adversarial Examples. - Omid Poursaeed; Tianxing Jiang; Harry Yang; Serge J. Belongie; Ser-Nam Lim (CoRR, 2019)

Unconstrained Facial Expression Transfer using Style-based Generator. - Chao Yang; Ser-Nam Lim (CoRR, 2019)

Measuring Dataset Granularity. - Yin Cui; Zeqi Gu; Dhruv Mahajan 001; Laurens van der Maaten; Serge J. Belongie; Ser-Nam Lim (CoRR, 2019)

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. - Peng Zhou 009; Bor-Chun Chen; Xintong Han; Mahyar Najibi; Abhinav Shrivastava; Ser-Nam Lim; Larry Davis 001 (AAAI, 2020)

One-Shot Domain Adaptation for Face Generation. - Chao Yang; Ser-Nam Lim (CVPR, 2020)

What Makes Fake Images Detectable? Understanding Properties that Generalize. - Lucy Chai; David Bau; Ser-Nam Lim; Phillip Isola (ECCV (26), 2020)

Quantization Guided JPEG Artifact Correction. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (ECCV (8), 2020)

A Metric Learning Reality Check. - Kevin Musgrave; Serge J. Belongie; Ser-Nam Lim (ECCV (25), 2020)

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors. - Zuxuan Wu; Ser-Nam Lim; Larry S. Davis; Tom Goldstein (ECCV (4), 2020)

Curriculum Manager for Source Selection in Multi-source Domain Adaptation. - Luyu Yang; Yogesh Balaji; Ser-Nam Lim; Abhinav Shrivastava (ECCV (14), 2020)

Differentiating through the Fréchet Mean. - Aaron Lou; Isay Katsman; Qingxuan Jiang; Serge J. Belongie; Ser-Nam Lim; Christopher De Sa (ICML, 2020)

Better Set Representations For Relational Reasoning. - Qian Huang; Horace He; Abhay Singh; Yan Zhang; Ser-Nam Lim; Austin R. Benson (NeurIPS, 2020)

Neural Manifold Ordinary Differential Equations. - Aaron Lou; Derek Lim; Isay Katsman; Leo Huang; Qingxuan Jiang; Ser-Nam Lim; Christopher De Sa (NeurIPS, 2020)

Detecting Deep-Fake Videos from Appearance and Behavior. - Shruti Agarwal; Hany Farid; Tarek El-Gaaly; Ser-Nam Lim (WIFS, 2020)

Deep Multi-Modal Sets. - Austin Reiter; Menglin Jia; Pu Yang; Ser-Nam Lim (CoRR, 2020)

Set-Structured Latent Representations. - Qian Huang; Horace He; Abhay Singh; Yan Zhang; Ser-Nam Lim; Austin R. Benson (CoRR, 2020)

MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. - Luyu Yang; Yan Wang 051; Mingfei Gao; Abhinav Shrivastava; Kilian Q. Weinberger; Wei-Lun Chao; Ser-Nam Lim (CoRR, 2020)

PyTorch Metric Learning. - Kevin Musgrave; Serge J. Belongie; Ser-Nam Lim (CoRR, 2020)

Analyzing and Mitigating Compression Defects in Deep Learning. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (CoRR, 2020)

Deep Video Inpainting Detection. - Peng Zhou 009; Ning Yu 006; Zuxuan Wu; Larry Davis 001; Abhinav Shrivastava; Ser-Nam Lim (BMVC, 2021)

GTA: Global Temporal Attention for Video Action Understanding. - Bo He 004; Xitong Yang; Zuxuan Wu; Hao Chen 066; Ser-Nam Lim; Abhinav Shrivastava (BMVC, 2021)

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

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

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

Cross-Modal Retrieval Augmentation for Multi-Modal Classification. - Shir Gur; Natalia Neverova; Christopher Stauffer; Ser-Nam Lim; Douwe Kiela; Austin Reiter (EMNLP (Findings), 2021)

When in Doubt: Improving Classification Performance with Alternating Normalization. - Menglin Jia; Austin Reiter; Ser-Nam Lim; Yoav Artzi; Claire Cardie (EMNLP (Findings), 2021)

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

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

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. - Luyu Yang; Yan Wang 051; Mingfei Gao; Abhinav Shrivastava; Kilian Q. Weinberger; Wei-Lun Chao; Ser-Nam Lim (ICCV, 2021)

Joint Audio-Visual Deepfake Detection. - Yipin Zhou; Ser-Nam Lim (ICCV, 2021)

Analyzing and Mitigating JPEG Compression Defects in Deep Learning. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (ICCVW, 2021)

Combining Label Propagation and Simple Models out-performs Graph Neural Networks. - Qian Huang; Horace He; Abhay Singh; Ser-Nam Lim; Austin R. Benson (ICLR, 2021)

NeRV: Neural Representations for Videos. - Hao Chen 066; Bo He 004; Hanyu Wang 002; Yixuan Ren; Ser-Nam Lim; Abhinav Shrivastava (NeurIPS, 2021)

Equivariant Manifold Flows. - Isay Katsman; Aaron Lou; Derek Lim; Qingxuan Jiang; Ser-Nam Lim; Christopher De Sa (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 (NeurIPS, 2021)

A Continuous Mapping For Augmentation Design. - Keyu Tian; Chen Lin 003; Ser-Nam Lim; Wanli Ouyang; Puneet K. Dokania; Philip H. S. Torr (NeurIPS, 2021)

THAT: Two Head Adversarial Training for Improving Robustness at Scale. - Zuxuan Wu; Tom Goldstein; Larry S. Davis; Ser-Nam Lim (CoRR, 2021)

New Benchmarks for Learning on Non-Homophilous Graphs. - Derek Lim; Xiuyu Li; Felix Hohne; Ser-Nam Lim (CoRR, 2021)

Multimodal Fusion Refiner Networks. - Sethuraman Sankaran; David Yang; Ser-Nam Lim (CoRR, 2021)

Edge Proposal Sets for Link Prediction. - Abhay Singh; Qian Huang; Sijia Linda Huang; Omkar Bhalerao; Horace He; Ser-Nam Lim; Austin R. Benson (CoRR, 2021)

Self-appearance-aided Differential Evolution for Motion Transfer. - Peirong Liu; Rui Wang; Xuefei Cao; Yipin Zhou; Ashish Shah; Maxime Oquab; Camille Couprie; Ser-Nam Lim (CoRR, 2021)

MixNorm: Test-Time Adaptation Through Online Normalization Estimation. - Xuefeng Hu; M. Gökhan Uzunbas; Sirius Chen; Rui Wang; Ashish Shah; Ram Nevatia; Ser-Nam Lim (CoRR, 2021)

Learning to Ground Multi-Agent Communication with Autoencoders. - Toru Lin; Minyoung Huh; Christopher Stauffer; Ser-Nam Lim; Phillip Isola (CoRR, 2021)

A Frequency Perspective of Adversarial Robustness. - Shishira R. Maiya; Max Ehrlich; Vatsal Agarwal; Ser-Nam Lim; Tom Goldstein; Abhinav Shrivastava (CoRR, 2021)

Unsupervised Domain Adaptation: A Reality Check. - Kevin Musgrave; Serge J. Belongie; Ser-Nam Lim (CoRR, 2021)

Rethinking Nearest Neighbors for Visual Classification. - Menglin Jia; Bor-Chun Chen; Zuxuan Wu; Claire Cardie; Serge J. Belongie; Ser-Nam Lim (CoRR, 2021)

CNeRV: Content-adaptive Neural Representation for Visual Data. - Hao Chen 066; Matthew Gwilliam; Bo He 004; Ser-Nam Lim; Abhinav Shrivastava (BMVC, 2022)

Neural Image Recolorization for Creative Domains. - Boyi Li; Serge J. Belongie; Ser-Nam Lim; Abe Davis (CVPR Workshops, 2022)

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. - Lingchen Meng; Hengduo Li; Bor-Chun Chen; Shiyi Lan; Zuxuan Wu; Yu-Gang Jiang 001; Ser-Nam Lim (CVPR, 2022)

ObjectFormer for Image Manipulation Detection and Localization. - Junke Wang; Zuxuan Wu; Jingjing Chen 001; Xintong Han; Abhinav Shrivastava; Ser-Nam Lim; Yu-Gang Jiang 001 (CVPR, 2022)

Diversified Dynamic Routing for Vision Tasks. - Botos Csaba; Adel Bibi; Yanwei Li; Philip H. S. Torr; Ser-Nam Lim (ECCV Workshops (4), 2022)

Visual Prompt Tuning. - Menglin Jia; Luming Tang; Bor-Chun Chen; Claire Cardie; Serge J. Belongie; Bharath Hariharan; Ser-Nam Lim (ECCV (33), 2022)

Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions. - Tohar Lukov; Na Zhao 004; Gim Hee Lee; Ser-Nam Lim (ECCV (12), 2022)

Totems: Physical Objects for Verifying Visual Integrity. - Jingwei Ma; Lucy Chai; Minyoung Huh; Tongzhou Wang 001; Ser-Nam Lim; Phillip Isola; Antonio Torralba 001 (ECCV (14), 2022)

Object-Centric Unsupervised Image Captioning. - Zihang Meng; David Yang; Xuefei Cao; Ashish Shah; Ser-Nam Lim (ECCV (36), 2022)

MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning. - Xiaogang Xu 002; Hengshuang Zhao; Vibhav Vineet; Ser-Nam Lim; Antonio Torralba 001 (ECCV (27), 2022)

M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection. - Junke Wang; Zuxuan Wu; Wenhao Ouyang; Xintong Han; Jingjing Chen 001; Yu-Gang Jiang 001; Ser-Nam Lim (ICMR, 2022)

FedSR: A Simple and Effective Domain Generalization Method for Federated Learning. - A. Tuan Nguyen; Philip H. S. Torr; Ser Nam Lim (NeurIPS, 2022)

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

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions. - Yongming Rao; Wenliang Zhao; Yansong Tang; Jie Zhou 001; Ser-Nam Lim; Jiwen Lu (NeurIPS, 2022)

Spartan: Differentiable Sparsity via Regularized Transportation. - Kai Sheng Tai; Tai-Peng Tian; 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)

Task-Agnostic Robust Representation Learning. - A. Tuan Nguyen; Ser Nam Lim; Philip H. S. Torr (CoRR, 2022)

VRAG: Region Attention Graphs for Content-Based Video Retrieval. - Kennard Ng; Ser-Nam Lim; Gim Hee Lee (CoRR, 2022)

RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness. - Francesco Pinto; Harry Yang; Ser-Nam Lim; Philip H. S. Torr; Puneet K. Dokania (CoRR, 2022)

Benchmarking Validation Methods for Unsupervised Domain Adaptation. - Kevin Musgrave; Serge J. Belongie; Ser-Nam Lim (CoRR, 2022)

A Unified Model for Tracking and Image-Video Detection Has More Power. - Peirong Liu; Rui Wang; Pengchuan Zhang; Omid Poursaeed; Yipin Zhou; Xuefei Cao; Sreya Dutta Roy; Ashish Shah; Ser-Nam Lim (CoRR, 2022)

PyTorch Adapt. - Kevin Musgrave; Serge J. Belongie; Ser-Nam Lim (CoRR, 2022)

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

Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. - Shishira R. Maiya; Max Ehrlich; Vatsal Agarwal; Ser-Nam Lim; Tom Goldstein; Abhinav Shrivastava (BMVC, 2023)

Towards Scalable Neural Representation for Diverse Videos. - Bo He 004; Xitong Yang; Hanyu Wang 002; Zuxuan Wu; Hao Chen 066; Shuaiyi Huang; Yixuan Ren; Ser-Nam Lim; Abhinav Shrivastava (CVPR, 2023)

Detecting Everything in the Open World: Towards Universal Object Detection. - Zhenyu Wang 005; Yali Li 001; Xi Chen; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao; Shengjin Wang (CVPR, 2023)

HNeRV: A Hybrid Neural Representation for Videos. - Hao Chen 066; Matthew Gwilliam; Ser-Nam Lim; Abhinav Shrivastava (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 (CVPR, 2023)

TIPI: Test Time Adaptation with Transformation Invariance. - A. Tuan Nguyen; Thanh Nguyen-Tang; Ser-Nam Lim; Philip H. S. Torr (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)

Open-vocabulary Panoptic Segmentation with Embedding Modulation. - Xi Chen; Shuang Li 013; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao (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 (ICCV, 2023)

BT2: Backward-compatible Training with Basis Transformation. - Yifei Zhou; Zilu Li; Abhinav Shrivastava; Hengshuang Zhao; Antonio Torralba 001; Tai-Peng Tian; Ser-Nam Lim (ICCV, 2023)

Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. - Mohamed Afham; Satya Narayan Shukla; Omid Poursaeed; Pengchuan Zhang; Ashish Shah; Sernam Lim (ICCV (Workshops), 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 (Workshops), 2023)

Graph Inductive Biases in Transformers without Message Passing. - Liheng Ma; Chen Lin 003; Derek Lim; Adriana Romero-Soriano; Puneet K. Dokania; Mark Coates; Philip H. S. Torr; Ser-Nam Lim (ICML, 2023)

Riemannian Residual Neural Networks. - Isay Katsman; Eric Ming Chen; Sidhanth Holalkere; Anna Asch; Aaron Lou; Ser Nam Lim; Christopher De Sa (NeurIPS, 2023)

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

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

Online Backfilling with No Regret for Large-Scale Image Retrieval. - Seonguk Seo; Mustafa Gökhan Uzunbas; Bohyung Han; Sara Cao; Joena Zhang; Tai-Peng Tian; Ser-Nam Lim (CoRR, 2023)

Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models. - Yifei Zhou; Juntao Ren; Fengyu Li; Ramin Zabih; Ser-Nam Lim (CoRR, 2023)

ScribbleSeg: Scribble-based Interactive Image Segmentation. - Xi Chen; Yau Shing Jonathan Cheung; Ser-Nam Lim; Hengshuang Zhao (CoRR, 2023)

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection. - Zhuoling Li; Chuanrui Zhang; Wei-Chiu Ma; Yipin Zhou; Linyan Huang; Haoqian Wang; Ser-Nam Lim; Hengshuang Zhao (CoRR, 2023)

LASER: Neuro-Symbolic Learning of Semantic Video Representations. - Jiani Huang; Ziyang Li; David Jacobs; Mayur Naik; Ser-Nam Lim (CoRR, 2023)

Language-free Compositional Action Generation via Decoupling Refinement. - Xiao Liu; Guangyi Chen 002; Yansong Tang; Guangrun Wang; Ser-Nam Lim (CoRR, 2023)

From Categories to Classifier: Name-Only Continual Learning by Exploring the Web. - Ameya Prabhu; Hasan Abed Al Kader Hammoud; Ser-Nam Lim; Bernard Ghanem; Philip H. S. Torr; Adel Bibi (CoRR, 2023)

Label Delay in Continual Learning. - Botos Csaba; Wenxuan Zhang 001; Matthias Müller 011; Ser-Nam Lim; Mohamed Elhoseiny; Philip H. S. Torr; Adel Bibi (CoRR, 2023)

CLAMP: Contrastive LAnguage Model Prompt-tuning. - Piotr Teterwak; Ximeng Sun; Bryan A. Plummer; Kate Saenko; Ser-Nam Lim (CoRR, 2023)

Universal Pyramid Adversarial Training for Improved ViT Performance. - Ping-yeh Chiang; Yipin Zhou; Omid Poursaeed; Satya Narayan Shukla; Ashish Shah; Tom Goldstein; Ser-Nam Lim (CoRR, 2023)

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 001; Adel Bibi (CoLLAs, 2024)

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. - Bo He 004; Hengduo Li; Young Kyun Jang; Menglin Jia; Xuefei Cao; Ashish Shah; Abhinav Shrivastava; 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 (CVPR, 2024)

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

UVIS: Unsupervised Video Instance Segmentation. - Shuaiyi Huang; Saksham Suri; Kamal Gupta 002; Sai Saketh Rambhatla; Ser-Nam Lim; Abhinav Shrivastava (CVPR Workshops, 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 (CVPR, 2024)

UniMODE: Unified Monocular 3D Object Detection. - Zhuoling Li; Xiaogang Xu 002; Ser-Nam Lim; Hengshuang Zhao (CVPR, 2024)

Composing Object Relations and Attributes for Image-Text Matching. - Khoi Pham; Chuong Huynh; Ser-Nam Lim; Abhinav Shrivastava (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 001; Rama Chellappa; Amjad Almahairi (CVPR, 2024)

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

Fast Encoding and Decoding for Implicit Video Representation. - Hao Chen 066; Saining Xie; Ser-Nam Lim; Abhinav Shrivastava (ECCV (39), 2024)

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 (ECCV (19), 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 001; Tai-Peng Tian; Ser-Nam Lim (ECCV (74), 2024)

Language-Free Compositional Action Generation via Decoupling Refinement. - Xiao Liu; Guangyi Chen 002; Yansong Tang; Guangrun Wang; Xiao-Ping Zhang 002; Ser-Nam Lim (ICASSP, 2024)

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

Label Delay in Online Continual Learning. - Botos Csaba; Wenxuan Zhang 001; Matthias Müller 011; Ser Nam Lim; Philip Torr 001; Adel Bibi (NeurIPS, 2024)

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

FSViewFusion: Few-Shots View Generation of Novel Objects. - Rukhshanda Hussain; Hui Xian Grace Lim; Borchun Chen; Mubarak Shah; Ser Nam Lim (CoRR, 2024)

Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions. - Lan Wang; Vishnu Boddeti; Sernam Lim (CoRR, 2024)

Mitigating Dialogue Hallucination for Large Multi-modal Models via Adversarial Instruction Tuning. - Dongmin Park; Zhaofang Qian; Guangxing Han; Ser-Nam Lim (CoRR, 2024)

Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models. - Young Kyun Jang; Ser-Nam Lim (CoRR, 2024)

Distilling Vision-Language Pretraining for Efficient Cross-Modal Retrieval. - Young Kyun Jang; Donghyun Kim; Ser-Nam Lim (CoRR, 2024)

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence. - Zhuoling Li; Xiaogang Xu 002; Zhenhua Xu; Ser-Nam Lim; Hengshuang Zhao (CoRR, 2024)

DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks. - Amin Karimi Monsefi; Kishore Prakash Sailaja; Ali Alilooee; Ser-Nam Lim; Rajiv Ramnath (CoRR, 2024)

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models. - Reza Abbasi; Sernam Lim (CoRR, 2024)

Scene Co-pilot: Procedural Text to Video Generation with Human in the Loop. - Zhaofang Qian; Abolfazl Sharifi; Tucker Carroll; Ser-Nam Lim (CoRR, 2024)

Towards Chunk-Wise Generation for Long Videos. - Siyang Zhang; Ser-Nam Lim (CoRR, 2024)

DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness. - Ahmad Mohammadshirazi; Pinaki Prasad Guha Neogi; Ser-Nam Lim; Rajiv Ramnath (CoRR, 2024)

DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses. - Yatian Pang; Bin Zhu; Bin Lin 014; Mingzhe Zheng; Francis E. H. Tay; Ser-Nam Lim; Harry Yang; Li Yuan 007 (CoRR, 2024)

OmniCreator: Self-Supervised Unified Generation with Universal Editing. - Haodong Chen; Lan Wang; Harry Yang; Ser-Nam Lim (CoRR, 2024)

VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation. - Mingzhe Zheng; Yongqi Xu; Haojian Huang; Xuran Ma; Yexin Liu; Wenjie Shu; Yatian Pang; Feilong Tang; Qifeng Chen; Harry Yang; Ser-Nam Lim (CoRR, 2024)

Video Decomposition Prior: A Methodology to Decompose Videos into Layers. - Gaurav Shrivastava; Ser-Nam Lim; Abhinav Shrivastava (CoRR, 2024)

OP-LoRA: The Blessing of Dimensionality. - Piotr Teterwak; Kate Saenko; Bryan A. Plummer; Ser-Nam Lim (CoRR, 2024)

Next Patch Prediction for Autoregressive Visual Generation. - Yatian Pang; Peng Jin 001; Shuo Yang; Bin Lin 014; Bin Zhu; Zhenyu Tang 004; Liuhan Chen; Francis E. H. Tay; Ser-Nam Lim; Harry Yang; Li Yuan 007 (CoRR, 2024)

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly. - Yexin Liu; Zhengyang Liang; Yueze Wang; Xianfeng Wu; Feilong Tang; Muyang He; Jian Li 062; Zheng Liu 011; Harry Yang; Sernam Lim; Bo Zhao 015 (CVPR, 2025)

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

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

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

DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data. - Yuanpeng Tu; Xi Chen; Ser-Nam Lim; Hengshuang Zhao (CoRR, 2025)

LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization. - Xianfeng Wu; Yajing Bai; Haoze Zheng; Harold Haodong Chen; Yexin Liu; Zihao Wang; Xuran Ma; Wenjie Shu; Xianzu Wu; Harry Yang; Ser-Nam Lim (CoRR, 2025)

VideoMerge: Towards Training-free Long Video Generation. - Siyang Zhang; Harry Yang; Ser-Nam Lim (CoRR, 2025)

Niagara: Normal-Integrated Geometric Affine Field for Scene Reconstruction from a Single View. - Xianzu Wu; Zhenxin Ai; Harry Yang; Ser-Nam Lim; Jun Liu; Huan Wang (CoRR, 2025)

Temporal Regularization Makes Your Video Generator Stronger. - Harold Haodong Chen; Haojian Huang; Xianfeng Wu; Yexin Liu; Yajing Bai; Wenjie Shu; Harry Yang; Ser-Nam Lim (CoRR, 2025)

What can Off-the-Shelves Large Multi-Modal Models do for Dynamic Scene Graph Generation? - Xuanming Cui; Jaiminkumar Ashokbhai Bhoi; Chionh Wei Peng; Adriel Kuek; Ser Nam Lim (CoRR, 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 (CoRR, 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 015; Ser-Nam Lim; Harry Yang; Nicu Sebe (CoRR, 2025)

UniDetector: Towards Universal Object Detection With Heterogeneous Supervision. - Zhenyu Wang 005; Yali Li 001; Xi Chen; Ser-Nam Lim; Antonio Torralba 001; Hengshuang Zhao; Shengjin Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation. - Harold Haodong Chen; Haojian Huang; Qifeng Chen; Harry Yang; Ser-Nam Lim (CoRR, 2025)

TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head Synthesis. - Shunian Chen; Hejin Huang; Yexin Liu; Zihan Ye; Pengcheng Chen; Chenghao Zhu; Michael Guan; Rongsheng Wang; Junying Chen; Guanbin Li; Ser-Nam Lim; Harry Yang; et al. (CoRR, 2025)

Toward Unified 3D Object Detection via Algorithm and Data Unification. - Zhuoling Li; Xiaogang Xu 002; Ser-Nam Lim; Hengshuang Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)