← Authors

Ser-Nam Lim

63 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (92) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (12) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (222) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (62) ❓ The Questioner (3) ⚑ Prolific Year (11)

Conferences

CVPR (20) ECCV (13) ICCV (12) ICLR (5) ICML (4) AAAI (3) EMNLP (3) NIPS (2) WACV (1)

Top co-authors

Abhinav Shrivastava (12) Serge Belongie (8) Zuxuan Wu (7) Bor-Chun Chen (6) Philip H.S. Torr (6) Harry Yang (5) Menglin Jia (5) Antonio Torralba (5) Hengshuang Zhao (5) Young Kyun Jang (5)

Keywords

multimodal learning (6) large language model (5) representation learning (4) vision-language model (4) zero-shot learning (3) image generation (3) domain adaptation (3) graph neural network (3) generative model (3) contrastive learning (3) image classification (3) continual learning (2) data augmentation (2) vision-language alignment (2) metric learning (2) model robustness (2) self-supervised learning (2) object detection (2) image segmentation (2) embedding learning (2)

Papers

Next Patch Prediction for AutoRegressive Visual Generation AAAI 2026
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models ICCV 2025
DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses ICCV 2025
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging EMNLP 2025
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models ICCV 2025
Intervening Anchor Token: Decoding Strategy in Alleviating Hallucinations for MLLMs ICLR 2025
LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision ICLR 2025
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning ICLR 2025
Metric Compatible Training for Online Backfilling in Large-Scale Retrieval WACV 2025
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence ICML 2025
Improving Soft Unification with Knowledge Graph Embedding Methods ICML 2025
Generative Zero-Shot Composed Image Retrieval CVPR 2025
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding CVPR 2024
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval CVPR 2024
Label Delay in Online Continual Learning NIPS 2024
Video Decomposition Prior: Editing Videos Layer by Layer ICLR 2024
Few-Shot Object Detection with Foundation Models CVPR 2024
Object Recognition as Next Token Prediction CVPR 2024
Fast Encoding and Decoding for Implicit Video Representation ECCV 2024
Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval ECCV 2024
Composing Object Relations and Attributes for Image-Text Matching CVPR 2024
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model CVPR 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks CVPR 2024
uCAP: An Unsupervised Prompting Method for Vision-Language Models ECCV 2024
AirSketch: Generative Motion to Sketch NIPS 2024
Computationally Budgeted Continual Learning: What Does Matter? CVPR 2023
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration AAAI 2023
Towards Scalable Neural Representation for Diverse Videos CVPR 2023
Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning CVPR 2023
TIPI: Test Time Adaptation With Transformation Invariance CVPR 2023
Detecting Everything in the Open World: Towards Universal Object Detection CVPR 2023
HNeRV: A Hybrid Neural Representation for Videos CVPR 2023
Open-vocabulary Panoptic Segmentation with Embedding Modulation ICCV 2023
BT^2: Backward-compatible Training with Basis Transformation ICCV 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? ICCV 2023
Graph Inductive Biases in Transformers without Message Passing ICML 2023
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions ECCV 2022
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition CVPR 2022
ObjectFormer for Image Manipulation Detection and Localization CVPR 2022
Visual Prompt Tuning ECCV 2022
Object-Centric Unsupervised Image Captioning ECCV 2022
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning ECCV 2022
Totems: Physical Objects for Verifying Visual Integrity ECCV 2022
Joint Audio-Visual Deepfake Detection ICCV 2021
Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation ICCV 2021
Robustness and Generalization via Generative Adversarial Training ICCV 2021
Efficient Object Embedding for Spliced Image Retrieval CVPR 2021
Intentonomy: A Dataset and Study Towards Human Intent Understanding CVPR 2021
Combining Label Propagation and Simple Models out-performs Graph Neural Networks ICLR 2021
On Feature Normalization and Data Augmentation CVPR 2021
Cross-Modal Retrieval Augmentation for Multi-Modal Classification EMNLP 2021
When in Doubt: Improving Classification Performance with Alternating Normalization EMNLP 2021
Exploring Visual Engagement Signals for Representation Learning ICCV 2021
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors ECCV 2020
Differentiating through the FrΓ©chet Mean ICML 2020
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation AAAI 2020
What makes fake images detectable? Understanding properties that generalize ECCV 2020
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation ECCV 2020
Quantization Guided JPEG Artifact Correction ECCV 2020
One-Shot Domain Adaptation for Face Generation CVPR 2020
A Metric Learning Reality Check ECCV 2020
Enhancing Adversarial Example Transferability With an Intermediate Level Attack ICCV 2019
Cross-X Learning for Fine-Grained Visual Categorization ICCV 2019