Tyng-luh Liu

27 papers · 2008–2025 · 8 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (17) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14)

🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam 🗃️ Keyword Collector (113) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (27) 🔥 Unstoppable (8) ⚡ Prolific Year (5)

Conferences

AAAI (7) CVPR (6) ECCV (5) ICCV (3) NIPS (2) WACV (2) ICLR (1) ICML (1)

Top co-authors

Hwann-Tzong Chen (9) Ding-Jie Chen (7) Cheng-Yao Hong (5) He-Yen Hsieh (4) Ting-I Hsieh (3) Chiou-shann Fuh (3) Yen-Chi Hsu (3) Jhih-Ciang Wu (2) Tzu-Hsien Chen (2) Yi-Chen Lo (2)

Keywords

attention mechanism (6) object detection (4) unsupervised learning (3) few-shot learning (3) 3d reconstruction (2) video understanding (2) neural network (2) one-shot object detection (2) biometric security (2) metric learning (2) one-class classification (2) face anti-spoofing (2) dimensionality reduction (2) convolutional neural network (2) spoof cue map (2) image generation (1) temporal modeling (1) feature learning (1) contrastive learning (1) object recognition (1)

Papers

Multimodal Promptable Token Merging for Diffusion Models AAAI 2025 EigenGS Representation: From Eigenspace to Gaussian Image Space CVPR 2025 SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining AAAI 2025 Tracking Everything Everywhere across Multiple Cameras AAAI 2025 Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking CVPR 2024 Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation ECCV 2024 Learning Diffusion Models for Multi-View Anomaly Detection ECCV 2024 One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning CVPR 2024 Aggregating Bilateral Attention for Few-Shot Instance Localization WACV 2023 Attention Discriminant Sampling for Point Clouds ICCV 2023 Shape-Guided Dual-Memory Learning for 3D Anomaly Detection ICML 2023 Self-Supervised Sparse Representation for Video Anomaly Detection ECCV 2022 Decoupled Contrastive Learning ECCV 2022 Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction AAAI 2022 Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation From Monocular Video CVPR 2022 Contextual Proposal Network for Action Localization WACV 2022 Adaptive Image Transformer for One-Shot Object Detection CVPR 2021 Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation AAAI 2021 Learning Unsupervised Metaformer for Anomaly Detection ICCV 2021 Adaptive and Generative Zero-Shot Learning ICLR 2021 Query-Driven Multi-Instance Learning AAAI 2020 Self-similarity Student for Partial Label Histopathology Image Segmentation ECCV 2020 One-Shot Object Detection with Co-Attention and Co-Excitation NIPS 2019 See-Through-Text Grouping for Referring Image Segmentation ICCV 2019 Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects AAAI 2019 Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos CVPR 2018 Dimensionality Reduction for Data in Multiple Feature Representations NIPS 2008