Ser-Nam Lim

236 papers A* 54A 8B 4Misc 1Journal 136Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
AC-Foley: Reference-Audio-Guided Video-to-Audio Synthesis with Acoustic Transfer.
CoRR
Pengjun Fang, Yingqing He, Yazhou Xing, Qifeng Chen, Ser-Nam Lim, Harry Yang
2026 J jnl
DiReCT: Disentangled Regularization of Contrastive Trajectories for Physics-Refined Video Generation.
CoRR
Abolfazl Meyarian, Amin Karimi Monsefi, Rajiv Ramnath, Ser-Nam Lim
2026 A* conf
Next Patch Prediction for AutoRegressive Visual Generation.
AAAI
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 J jnl
Reason to Contrast: A Cascaded Multimodal Retrieval Framework.
CoRR
Xuanming Cui, Hong-You Chen, Hao Yu, Hao Yuan, Zihao Wang, Shlok Kumar Mishra, Hanchao Yu, Yonghuan Yang, Jun Xiao, Ser-Nam Lim, Jianpeng Cheng, Qi Guo, Xiangjun Fan
2025 J jnl
AlignVid: Training-Free Attention Scaling for Semantic Fidelity in Text-Guided Image-to-Video Generation.
CoRR
Yexin Liu, Wen-Jie Shu, Zile Huang, Haoze Zheng, Yueze Wang, Manyuan Zhang, Ser-Nam Lim, Harry Yang
2025 J jnl
CML-Bench: A Framework for Evaluating and Enhancing LLM-Powered Movie Scripts Generation.
CoRR
Mingzhe Zheng, Dingjie Song, Guanyu Zhou, Jun You, Jiahao Zhan, Xuran Ma, Xinyuan Song, Ser-Nam Lim, Qifeng Chen, Harry Yang
2025 J jnl
Delta Activations: A Representation for Finetuned Large Language Models.
CoRR
Zhiqiu Xu, Amish Sethi, Mayur Naik, Ser-Nam Lim
2025 — conf
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data.
SIGGRAPH (Conference Paper Track)
Yuanpeng Tu, Xi Chen, Ser-Nam Lim, Hengshuang Zhao
2025 J jnl
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data.
CoRR
Yuanpeng Tu, Xi Chen, Ser-Nam Lim, Hengshuang Zhao
2025 J jnl
ESCA: Contextualizing Embodied Agents via Scene-Graph Generation.
CoRR
Jiani Huang, Amish Sethi, Matthew Kuo, Mayank Keoliya, Neelay Velingker, JungHo Jung, Ser-Nam Lim, Ziyang Li, Mayur Naik
2025 J jnl
Enhancing Diffusion-based Restoration Models via Difficulty-Adaptive Reinforcement Learning with IQA Reward.
CoRR
Xiaogang Xu, Ruihang Chu, Jian Wang, Kun Zhou, Wenjie Shu, Harry Yang, Ser-Nam Lim, Hao Chen, Liang Lin
2025 A* conf
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning.
ICLR
Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath
2025 A* conf
Generative Zero-Shot Composed Image Retrieval.
CVPR
Lan Wang, Wei Ao, Vishnu Naresh Boddeti, Ser-Nam Lim
2025 J jnl
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation.
CoRR
Harold Haodong Chen, Haojian Huang, Qifeng Chen, Harry Yang, Ser-Nam Lim
2025 A* conf
Improving Soft Unification with Knowledge Graph Embedding Methods.
ICML
Xuanming Cui, Chionh Wei Peng, Adriel Kuek, Ser-Nam Lim
2025 A* conf
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs.
ICLR
Feilong Tang, Zile Huang, Chengzhi Liu, Qiang Sun, Harry Yang, Ser-Nam Lim
2025 A* conf
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence.
ICML
Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao
2025 A* conf
LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision.
ICLR
Jiani Huang, Ziyang Li, Mayur Naik, Ser-Nam Lim
2025 J jnl
LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization.
CoRR
Xianfeng Wu, Yajing Bai, Haoze Zheng, Harold Haodong Chen, Yexin Liu, Zihao Wang, Xuran Ma, Wen-Jie Shu, Xianzu Wu, Harry Yang, Ser-Nam Lim
2025 A conf
Metric Compatible Training for Online Backfilling in Large-Scale Retrieval.
WACV
Seonguk Seo, Mustafa Gökhan Uzunbas, Bohyung Han, Sara Cao, Ser-Nam Lim
2025 J jnl
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models.
CoRR
Xuran Ma, Yexin Liu, Yaofu Liu, Xianfeng Wu, Mingzhe Zheng, Zihao Wang, Ser-Nam Lim, Harry Yang
2025 J jnl
Niagara: Normal-Integrated Geometric Affine Field for Scene Reconstruction from a Single View.
CoRR
Xianzu Wu, Zhenxin Ai, Harry Yang, Ser-Nam Lim, Jun Liu, Huan Wang
2025 A* conf
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging.
EMNLP
Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2025 J jnl
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging.
CoRR
Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2025 J jnl
TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head Synthesis.
CoRR
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, Benyou Wang
2025 J jnl
Temporal Regularization Makes Your Video Generator Stronger.
CoRR
Harold Haodong Chen, Haojian Huang, Xianfeng Wu, Yexin Liu, Yajing Bai, Wen-Jie Shu, Harry Yang, Ser-Nam Lim
2025 J jnl
Think Then Embed: Generative Context Improves Multimodal Embedding.
CoRR
Xuanming Cui, Jianpeng Cheng, Hong-You Chen, Satya Narayan Shukla, Abhijeet Awasthi, Xichen Pan, Chaitanya Ahuja, Shlok Kumar Mishra, Yonghuan Yang, Jun Xiao, Qi Guo, Ser-Nam Lim, Aashu Singh, Xiangjun Fan
2025 J jnl
Toward Unified 3D Object Detection via Algorithm and Data Unification.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhuoling Li, Xiaogang Xu, Ser-Nam Lim, Hengshuang Zhao
2025 J jnl
UniDetector: Towards Universal Object Detection With Heterogeneous Supervision.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang
2025 J jnl
VideoMerge: Towards Training-free Long Video Generation.
CoRR
Siyang Zhang, Harry Yang, Ser-Nam Lim
2025 J jnl
When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding.
CoRR
Yan Shu, Hangui Lin, Yexin Liu, Yan Zhang, Gangyan Zeng, Yan Li, Yu Zhou, Ser-Nam Lim, Harry Yang, Nicu Sebe
2025 J jnl
Zero-shot Synthetic Video Realism Enhancement via Structure-aware Denoising.
CoRR
Yifan Wang, Liya Ji, Zhanghan Ke, Harry Yang, Ser-Nam Lim, Qifeng Chen
2024 J jnl
AirSketch: Generative Motion to Sketch.
CoRR
Hui Xian Grace Lim, Xuanming Cui, Yogesh S. Rawat, Ser-Nam Lim
2024 A* conf
Composing Object Relations and Attributes for Image-Text Matching.
CVPR
Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava
2024 J jnl
Composing Object Relations and Attributes for Image-Text Matching.
CoRR
Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava
2024 J jnl
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness.
CoRR
Ahmad Mohammadshirazi, Pinaki Prasad Guha Neogi, Ser-Nam Lim, Rajiv Ramnath
2024 J jnl
DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks.
CoRR
Amin Karimi Monsefi, Kishore Prakash Sailaja, Ali Alilooee, Ser-Nam Lim, Rajiv Ramnath
2024 J jnl
Distilling Vision-Language Pretraining for Efficient Cross-Modal Retrieval.
CoRR
Young Kyun Jang, Donghyun Kim, Ser-Nam Lim
2024 J jnl
DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses.
CoRR
Yatian Pang, Bin Zhu, Bin Lin, Mingzhe Zheng, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan
2024 — conf
Fast Encoding and Decoding for Implicit Video Representation.
ECCV (39)
Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava
2024 J jnl
Fast Encoding and Decoding for Implicit Video Representation.
CoRR
Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava
2024 A* conf
Few-Shot Object Detection with Foundation Models.
CVPR
Guangxing Han, Ser-Nam Lim
2024 J jnl
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning.
CoRR
Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath
2024 — conf
From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web.
CoLLAs
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip Torr, Adel Bibi
2024 A* conf
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model.
CVPR
Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
2024 J jnl
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence.
CoRR
Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao
2024 Misc conf
Language-Free Compositional Action Generation via Decoupling Refinement.
ICASSP
Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim
2024 A* conf
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding.
CVPR
Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim
2024 J jnl
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding.
CoRR
Bo He, Hengduo Li, Young Kyun Jang, Menglin Jia, Xuefei Cao, Ashish Shah, Abhinav Shrivastava, Ser-Nam Lim
2024 J jnl
Mitigating Dialogue Hallucination for Large Multi-modal Models via Adversarial Instruction Tuning.
CoRR
Dongmin Park, Zhaofang Qian, Guangxing Han, Ser-Nam Lim
2024 J jnl
Next Patch Prediction for Autoregressive Visual Generation.
CoRR
Yatian Pang, Peng Jin, Shuo Yang, Bin Lin, Bin Zhu, Zhenyu Tang, Liuhan Chen, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan
2024 J jnl
OP-LoRA: The Blessing of Dimensionality.
CoRR
Piotr Teterwak, Kate Saenko, Bryan A. Plummer, Ser-Nam Lim
2024 A* conf
Object Recognition as Next Token Prediction.
CVPR
Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim
2024 J jnl
OmniCreator: Self-Supervised Unified Generation with Universal Editing.
CoRR
Haodong Chen, Lan Wang, Harry Yang, Ser-Nam Lim
2024 A* conf
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks.
CVPR
Xuanming Cui, Alejandro Aparcedo, Young Kyun Jang, Ser-Nam Lim
2024 J jnl
Scene Co-pilot: Procedural Text to Video Generation with Human in the Loop.
CoRR
Zhaofang Qian, Abolfazl Sharifi, Tucker Carroll, Ser-Nam Lim
2024 — conf
Spherical Linear Interpolation and Text-Anchoring for Zero-Shot Composed Image Retrieval.
ECCV (19)
Young Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim
2024 J jnl
Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval.
CoRR
Young Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim
2024 J jnl
Towards Chunk-Wise Generation for Long Videos.
CoRR
Siyang Zhang, Ser-Nam Lim
2024 J jnl
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models.
CoRR
Young Kyun Jang, Ser-Nam Lim
2024 — conf
UVIS: Unsupervised Video Instance Segmentation.
CVPR Workshops
Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava
2024 J jnl
UVIS: Unsupervised Video Instance Segmentation.
CoRR
Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava
2024 A* conf
UniMODE: Unified Monocular 3D Object Detection.
CVPR
Zhuoling Li, Xiaogang Xu, Ser-Nam Lim, Hengshuang Zhao
2024 J jnl
UniMODE: Unified Monocular 3D Object Detection.
CoRR
Zhuoling Li, Xiaogang Xu, Ser-Nam Lim, Hengshuang Zhao
2024 J jnl
Video Decomposition Prior: A Methodology to Decompose Videos into Layers.
CoRR
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
2024 A* conf
Video Decomposition Prior: Editing Videos Layer by Layer.
ICLR
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
2024 J jnl
VideoGen-of-Thought: A Collaborative Framework for Multi-Shot Video Generation.
CoRR
Mingzhe Zheng, Yongqi Xu, Haojian Huang, Xuran Ma, Yexin Liu, Wenjie Shu, Yatian Pang, Feilong Tang, Qifeng Chen, Harry Yang, Ser-Nam Lim
2024 A* conf
Visual Delta Generator with Large Multi-Modal Models for Semi-Supervised Composed Image Retrieval.
CVPR
Young Kyun Jang, Donghyun Kim, Zihang Meng, Dat Huynh, Ser-Nam Lim
2024 J jnl
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval.
CoRR
Young Kyun Jang, Donghyun Kim, Zihang Meng, Dat Huynh, Ser-Nam Lim
2024 — conf
uCAP: An Unsupervised Prompting Method for Vision-Language Models.
ECCV (74)
A. Tuan Nguyen, Kai Sheng Tai, Bor-Chun Chen, Satya Narayan Shukla, Hanchao Yu, Philip Torr, Tai-Peng Tian, Ser-Nam Lim
2023 A* conf
BT
ICCV
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
2023 J jnl
CLAMP: Contrastive LAnguage Model Prompt-tuning.
CoRR
Piotr Teterwak, Ximeng Sun, Bryan A. Plummer, Kate Saenko, Ser-Nam Lim
2023 A* conf
Computationally Budgeted Continual Learning: What Does Matter?
CVPR
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi
2023 J jnl
Computationally Budgeted Continual Learning: What Does Matter?
CoRR
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H. S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi
2023 A* conf
Detecting Everything in the Open World: Towards Universal Object Detection.
CVPR
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang
2023 J jnl
Detecting Everything in the Open World: Towards Universal Object Detection.
CoRR
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao, Shengjin Wang
2023 J jnl
Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models.
CoRR
Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser-Nam Lim
2023 J jnl
From Categories to Classifier: Name-Only Continual Learning by Exploring the Web.
CoRR
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip H. S. Torr, Adel Bibi
2023 A* conf
Graph Inductive Biases in Transformers without Message Passing.
ICML
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
2023 J jnl
Graph Inductive Biases in Transformers without Message Passing.
CoRR
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
2023 A* conf
HNeRV: A Hybrid Neural Representation for Videos.
CVPR
Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
2023 J jnl
HNeRV: A Hybrid Neural Representation for Videos.
CoRR
Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava
2023 J jnl
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model.
CoRR
Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi
2023 J jnl
LASER: Neuro-Symbolic Learning of Semantic Video Representations.
CoRR
Jiani Huang, Ziyang Li, David Jacobs, Mayur Naik, Ser-Nam Lim
2023 J jnl
Label Delay in Continual Learning.
CoRR
Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi
2023 J jnl
Language-free Compositional Action Generation via Decoupling Refinement.
CoRR
Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim
2023 J jnl
Object Recognition as Next Token Prediction.
CoRR
Kaiyu Yue, Bor-Chun Chen, Jonas Geiping, Hengduo Li, Tom Goldstein, Ser-Nam Lim
2023 J jnl
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks.
CoRR
Xuanming Cui, Alejandro Aparcedo, Young Kyun Jang, Ser-Nam Lim
2023 J jnl
Online Backfilling with No Regret for Large-Scale Image Retrieval.
CoRR
Seonguk Seo, Mustafa Gökhan Uzunbas, Bohyung Han, Sara Cao, Joena Zhang, Tai-Peng Tian, Ser-Nam Lim
2023 A* conf
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning.
CVPR
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim
2023 A* conf
Open-vocabulary Panoptic Segmentation with Embedding Modulation.
ICCV
Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
2023 J jnl
Open-vocabulary Panoptic Segmentation with Embedding Modulation.
CoRR
Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao
2023 — conf
Raising the Bar on the Evaluation of Out-of-Distribution Detection.
ICCV (Workshops)
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim
2023 A* conf
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
ICCV
Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
2023 J jnl
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
CoRR
Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem
2023 J jnl
Riemannian Residual Neural Networks.
CoRR
Isay Katsman, Eric Ming Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou, Ser-Nam Lim, Christopher De Sa
2023 A* conf
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration.
AAAI
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2023 J jnl
ScribbleSeg: Scribble-based Interactive Image Segmentation.
CoRR
Xi Chen, Yau Shing Jonathan Cheung, Ser-Nam Lim, Hengshuang Zhao
2023 A* conf
TIPI: Test Time Adaptation with Transformation Invariance.
CVPR
A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H. S. Torr
2023 A* conf
Towards Scalable Neural Representation for Diverse Videos.
CVPR
Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2023 J jnl
Towards Scalable Neural Representation for Diverse Videos.
CoRR
Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2023 A conf
Unifying the Harmonic Analysis of Adversarial Attacks and Robustness.
BMVC
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
2023 J jnl
Universal Pyramid Adversarial Training for Improved ViT Performance.
CoRR
Ping-Yeh Chiang, Yipin Zhou, Omid Poursaeed, Satya Narayan Shukla, Ashish Shah, Tom Goldstein, Ser-Nam Lim
2023 J jnl
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements.
CoRR
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
2023 J jnl
VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection.
CoRR
Zhuoling Li, Chuanrui Zhang, Wei-Chiu Ma, Yipin Zhou, Linyan Huang, Haoqian Wang, Ser-Nam Lim, Hengshuang Zhao
2022 J jnl
A Unified Model for Tracking and Image-Video Detection Has More Power.
CoRR
Peirong Liu, Rui Wang, Pengchuan Zhang, Omid Poursaeed, Yipin Zhou, Xuefei Cao, Sreya Dutta Roy, Ashish Shah, Ser-Nam Lim
2022 A* conf
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
CVPR
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
2022 J jnl
BT
CoRR
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim
2022 J jnl
Benchmarking Validation Methods for Unsupervised Domain Adaptation.
CoRR
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
2022 A conf
CNeRV: Content-adaptive Neural Representation for Visual Data.
BMVC
Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
2022 J jnl
CNeRV: Content-adaptive Neural Representation for Visual Data.
CoRR
Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava
2022 — conf
Diversified Dynamic Routing for Vision Tasks.
ECCV Workshops (4)
Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim
2022 J jnl
Diversified Dynamic Routing for Vision Tasks.
CoRR
Botos Csaba, Adel Bibi, Yanwei Li, Philip H. S. Torr, Ser-Nam Lim
2022 J jnl
GAPX: Generalized Autoregressive Paraphrase-Identification X.
CoRR
Yifei Zhou, Renyu Li, Hayden Housen, Ser-Nam Lim
2022 A* conf
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions.
NeurIPS
Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu
2022 J jnl
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions.
CoRR
Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser-Nam Lim, Jiwen Lu
2022 B conf
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection.
ICMR
Junke Wang, Zuxuan Wu, Wenhao Ouyang, Xintong Han, Jingjing Chen, Yu-Gang Jiang, Ser-Nam Lim
2022 — conf
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning.
ECCV (27)
Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba
2022 — conf
Neural Image Recolorization for Creative Domains.
CVPR Workshops
Boyi Li, Serge J. Belongie, Ser-Nam Lim, Abe Davis
2022 — conf
Object-Centric Unsupervised Image Captioning.
ECCV (36)
Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim
2022 A* conf
ObjectFormer for Image Manipulation Detection and Localization.
CVPR
Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
2022 J jnl
ObjectFormer for Image Manipulation Detection and Localization.
CoRR
Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang
2022 J jnl
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning.
CoRR
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim
2022 J jnl
PyTorch Adapt.
CoRR
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
2022 J jnl
Raising the Bar on the Evaluation of Out-of-Distribution Detection.
CoRR
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim
2022 J jnl
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness.
CoRR
Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2022 J jnl
Sample-dependent Adaptive Temperature Scaling for Improved Calibration.
CoRR
Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2022 J jnl
Spartan: Differentiable Sparsity via Regularized Transportation.
CoRR
Kai Sheng Tai, Tai-Peng Tian, Ser-Nam Lim
2022 — conf
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions.
ECCV (12)
Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim
2022 — conf
Totems: Physical Objects for Verifying Visual Integrity.
ECCV (14)
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
2022 J jnl
Totems: Physical Objects for Verifying Visual Integrity.
CoRR
Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
2022 J jnl
VRAG: Region Attention Graphs for Content-Based Video Retrieval.
CoRR
Kennard Ng, Ser-Nam Lim, Gim Hee Lee
2022 — conf
Visual Prompt Tuning.
ECCV (33)
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim
2022 J jnl
Visual Prompt Tuning.
CoRR
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge J. Belongie, Bharath Hariharan, Ser-Nam Lim
2021 A* conf
A Continuous Mapping For Augmentation Design.
NeurIPS
Keyu Tian, Chen Lin, Ser-Nam Lim, Wanli Ouyang, Puneet K. Dokania, Philip H. S. Torr
2021 J jnl
A Frequency Perspective of Adversarial Robustness.
CoRR
Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava
2021 J jnl
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
CoRR
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
2021 — conf
Analyzing and Mitigating JPEG Compression Defects in Deep Learning.
ICCVW
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2021 A* conf
Combining Label Propagation and Simple Models out-performs Graph Neural Networks.
ICLR
Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson
2021 — conf
Cross-Modal Retrieval Augmentation for Multi-Modal Classification.
EMNLP (Findings)
Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter
2021 J jnl
Cross-Modal Retrieval Augmentation for Multi-Modal Classification.
CoRR
Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter
2021 A* conf
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.
ICCV
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
2021 A conf
Deep Video Inpainting Detection.
BMVC
Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim
2021 J jnl
Deep Video Inpainting Detection.
CoRR
Peng Zhou, Ning Yu, Zuxuan Wu, Larry S. Davis, Abhinav Shrivastava, Ser-Nam Lim
2021 J jnl
Edge Proposal Sets for Link Prediction.
CoRR
Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson
2021 A* conf
Efficient Object Embedding for Spliced Image Retrieval.
CVPR
Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim
2021 A* conf
Equivariant Manifold Flows.
NeurIPS
Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
2021 J jnl
Equivariant Manifold Flows.
CoRR
Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
2021 A* conf
Exploring Visual Engagement Signals for Representation Learning.
ICCV
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2021 J jnl
Exploring Visual Engagement Signals for Representation Learning.
CoRR
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2021 A conf
GTA: Global Temporal Attention for Video Action Understanding.
BMVC
Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava
2021 A* conf
Intentonomy: A Dataset and Study Towards Human Intent Understanding.
CVPR
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2021 A* conf
Joint Audio-Visual Deepfake Detection.
ICCV
Yipin Zhou, Ser-Nam Lim
2021 A* conf
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods.
NeurIPS
Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser-Nam Lim
2021 J jnl
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods.
CoRR
Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser-Nam Lim
2021 A* conf
Learning to Ground Multi-Agent Communication with Autoencoders.
NeurIPS
Toru Lin, Jacob Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola
2021 J jnl
Learning to Ground Multi-Agent Communication with Autoencoders.
CoRR
Toru Lin, Minyoung Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola
2021 J jnl
MixNorm: Test-Time Adaptation Through Online Normalization Estimation.
CoRR
Xuefeng Hu, M. Gökhan Uzunbas, Sirius Chen, Rui Wang, Ashish Shah, Ram Nevatia, Ser-Nam Lim
2021 J jnl
Multimodal Fusion Refiner Networks.
CoRR
Sethuraman Sankaran, David Yang, Ser-Nam Lim
2021 A* conf
NeRV: Neural Representations for Videos.
NeurIPS
Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2021 J jnl
NeRV: Neural Representations for Videos.
CoRR
Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava
2021 J jnl
New Benchmarks for Learning on Non-Homophilous Graphs.
CoRR
Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim
2021 J jnl
Object-Centric Unsupervised Image Captioning.
CoRR
Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim
2021 A* conf
On Feature Normalization and Data Augmentation.
CVPR
Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger
2021 J jnl
Rethinking Nearest Neighbors for Visual Classification.
CoRR
Menglin Jia, Bor-Chun Chen, Zuxuan Wu, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2021 A* conf
Robustness and Generalization via Generative Adversarial Training.
ICCV
Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim
2021 J jnl
Robustness and Generalization via Generative Adversarial Training.
CoRR
Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim
2021 J jnl
Self-appearance-aided Differential Evolution for Motion Transfer.
CoRR
Peirong Liu, Rui Wang, Xuefei Cao, Yipin Zhou, Ashish Shah, Maxime Oquab, Camille Couprie, Ser-Nam Lim
2021 J jnl
THAT: Two Head Adversarial Training for Improving Robustness at Scale.
CoRR
Zuxuan Wu, Tom Goldstein, Larry S. Davis, Ser-Nam Lim
2021 J jnl
Unsupervised Domain Adaptation: A Reality Check.
CoRR
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
2021 — conf
When in Doubt: Improving Classification Performance with Alternating Normalization.
EMNLP (Findings)
Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie
2021 J jnl
When in Doubt: Improving Classification Performance with Alternating Normalization.
CoRR
Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie
2020 — conf
A Metric Learning Reality Check.
ECCV (25)
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
2020 J jnl
A Metric Learning Reality Check.
CoRR
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
2020 J jnl
Analyzing and Mitigating Compression Defects in Deep Learning.
CoRR
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2020 A* conf
Better Set Representations For Relational Reasoning.
NeurIPS
Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson
2020 J jnl
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks.
CoRR
Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson
2020 J jnl
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation.
CoRR
Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
2020 — conf
Curriculum Manager for Source Selection in Multi-source Domain Adaptation.
ECCV (14)
Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava
2020 J jnl
Deep Multi-Modal Sets.
CoRR
Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim
2020 — conf
Detecting Deep-Fake Videos from Appearance and Behavior.
WIFS
Shruti Agarwal, Hany Farid, Tarek El-Gaaly, Ser-Nam Lim
2020 J jnl
Detecting Deep-Fake Videos from Appearance and Behavior.
CoRR
Shruti Agarwal, Tarek El-Gaaly, Hany Farid, Ser-Nam Lim
2020 A* conf
Differentiating through the Fréchet Mean.
ICML
Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge J. Belongie, Ser-Nam Lim, Christopher De Sa
2020 J jnl
Differentiating through the Fréchet Mean.
CoRR
Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge J. Belongie, Ser-Nam Lim, Christopher De Sa
2020 J jnl
GTA: Global Temporal Attention for Video Action Understanding.
CoRR
Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava
2020 A* conf
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation.
AAAI
Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis
2020 J jnl
Intentonomy: a Dataset and Study towards Human Intent Understanding.
CoRR
Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim
2020 — conf
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors.
ECCV (4)
Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein
2020 J jnl
MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation.
CoRR
Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim
2020 A* conf
Neural Manifold Ordinary Differential Equations.
NeurIPS
Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
2020 J jnl
Neural Manifold Ordinary Differential Equations.
CoRR
Aaron Lou, Derek Lim, Isay Katsman, Leo Huang, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
2020 J jnl
On Feature Normalization and Data Augmentation.
CoRR
Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger
2020 J jnl
One-Shot Domain Adaptation For Face Generation.
CoRR
Chao Yang, Ser-Nam Lim
2020 A* conf
One-Shot Domain Adaptation for Face Generation.
CVPR
Chao Yang, Ser-Nam Lim
2020 J jnl
PyTorch Metric Learning.
CoRR
Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim
2020 — conf
Quantization Guided JPEG Artifact Correction.
ECCV (8)
Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
2020 J jnl
Quantization Guided JPEG Artifact Correction.
CoRR
Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava
2020 J jnl
Set-Structured Latent Representations.
CoRR
Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser-Nam Lim, Austin R. Benson
2020 — conf
What Makes Fake Images Detectable? Understanding Properties that Generalize.
ECCV (26)
Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola
2020 J jnl
What makes fake images detectable? Understanding properties that generalize.
CoRR
Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola
2019 J jnl
An Analysis of Object Embeddings for Image Retrieval.
CoRR
Bor-Chun Chen, Larry S. Davis, Ser-Nam Lim
2019 A* conf
Cross-X Learning for Fine-Grained Visual Categorization.
ICCV
Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim
2019 J jnl
Cross-X Learning for Fine-Grained Visual Categorization.
CoRR
Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry S. Davis, Jun Li, Jian Yang, Ser-Nam Lim
2019 A* conf
Enhancing Adversarial Example Transferability With an Intermediate Level Attack.
ICCV
Qian Huang, Isay Katsman, Zeqi Gu, Horace He, Serge J. Belongie, Ser-Nam Lim
2019 J jnl
Enhancing Adversarial Example Transferability with an Intermediate Level Attack.
CoRR
Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge J. Belongie, Ser-Nam Lim
2019 J jnl
Fine-grained Synthesis of Unrestricted Adversarial Examples.
CoRR
Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim
2019 J jnl
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors.
CoRR
Zuxuan Wu, Ser-Nam Lim, Larry Davis, Tom Goldstein
2019 J jnl
Measuring Dataset Granularity.
CoRR
Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge J. Belongie, Ser-Nam Lim
2019 J jnl
Unconstrained Facial Expression Transfer using Style-based Generator.
CoRR
Chao Yang, Ser-Nam Lim
2019 J jnl
Unsupervised Deep Metric Learning via Auxiliary Rotation Loss.
CoRR
Xuefei Cao, Bor-Chun Chen, Ser-Nam Lim
2018 J jnl
Adversarial Example Decomposition.
CoRR
Horace He, Aaron Lou, Qingxuan Jiang, Isay Katsman, Pian Pawakapan, Serge J. Belongie, Ser-Nam Lim
2018 — conf
DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation.
ECCV (5)
Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis
2018 J jnl
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation.
CoRR
Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, Larry S. Davis
2018 J jnl
Intermediate Level Adversarial Attack for Enhanced Transferability.
CoRR
Qian Huang, Zeqi Gu, Isay Katsman, Horace He, Pian Pawakapan, Zhiqiu Lin, Serge J. Belongie, Ser-Nam Lim
2018 A* conf
Regularizing Deep Networks Using Efficient Layerwise Adversarial Training.
AAAI
Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim
2017 A* conf
A Reinforcement Learning Approach to the View Planning Problem.
CVPR
Mustafa Devrim Kaba, Mustafa Gökhan Uzunbas, Ser-Nam Lim
2017 J jnl
Regularizing deep networks using efficient layerwise adversarial training.
CoRR
Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim
2017 J jnl
Unsupervised Domain Adaptation for Semantic Segmentation with GANs.
CoRR
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa
2016 J jnl
A Reinforcement Learning Approach to Sensor Planning for 3D Models.
CoRR
Mustafa Devrim Kaba, Mustafa Gökhan Uzunbas, Ser-Nam Lim
2016 A conf
Multiscale fully convolutional network with application to industrial inspection.
WACV
Xiao Bian, Ser-Nam Lim, Ning Zhou
2016 A conf
Tooth guard: A vision system for detecting missing tooth in rope mine shovel.
WACV
Ser-Nam Lim, Joao Soares, Ning Zhou
2013 — conf
Automatic Registration of Smooth Object Image to 3D CAD Model for Industrial Inspection Applications.
3DV
Ser-Nam Lim, Li Guan, Shubao Liu, Xingwei Yang
2012 — conf
Simultaneous image segmentation and 3D plane fitting for RGB-D sensors - An iterative framework.
CVPR Workshops
Li Guan, Ting Yu, Peter H. Tu, Ser-Nam Lim
2011 — conf
Multi-class Object Layout with Unsupervised Image Classification and Object Localization.
ISVC (1)
Ser-Nam Lim, Gianfranco Doretto, Jens Rittscher
2009 — ch.
Collaborative Control of Active Cameras in Large-Scale Surveillance.
Multi-Camera Networks
Nils Krahnstoever, Ting Yu, Ser-Nam Lim, Kedar A. Patwardhan
2009 A* conf
Monitoring, recognizing and discovering social networks.
CVPR
Ting Yu, Ser-Nam Lim, Kedar A. Patwardhan, Nils Krahnstoever
2007 — conf
An Ease-of-Use Stereo-Based Particle Filter for Tracking Under Occlusion.
Workshop on Human Motion
Ser-Nam Lim, Larry S. Davis
2007 — conf
Task Scheduling in Large Camera Networks.
ACCV (1)
Ser-Nam Lim, Larry S. Davis, Anurag Mittal
2006 J jnl
Constructing task visibility intervals for video surveillance.
Multim. Syst.
Ser-Nam Lim, Larry S. Davis, Anurag Mittal
2006 — —
Sensor, Motion and Temporal Planning.
Ser-Nam Lim
2005 — conf
Constructing task visibility intervals for a surveillance system.
VSSN@MM
Ser-Nam Lim, Anurag Mittal, Larry Davis
2005 — conf
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications.
CVPR (1)
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios
2004 B conf
Multi-level fast multipole method for thin plate spline evaluation.
ICIP
Ali Zandifar, Ser-Nam Lim, Ramani Duraiswami, Nail A. Gumerov, Larry S. Davis
2004 B conf
Uncalibrated stereo rectification for automatic 3d surveillance.
ICIP
Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios
2003 B conf
A Scalable Image-Based Multi-Camera Visual Surveillance System.
AVSS
Ser-Nam Lim, Larry S. Davis, Ahmed M. Elgammal
2003 A conf
Image-based pan-tilt camera control in a multi-camera surveillance environment.
ICME
Ser-Nam Lim, Ahmed M. Elgammal, Larry S. Davis