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Siwei Lyu

55 papers · 2006–2026 · 14 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (24) 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (19) 🐝 Cross-Pollinator (13) 🌟 Keyword Trendsetter Combo (3) πŸ”¬ Deep Specialist (12) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (74) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (16) πŸš€ Conference Pioneer πŸ’Ž Century Club (54) ⚑ Prolific Year (7)

Conferences

NIPS (13) CVPR (9) ICCV (9) AAAI (6) ECCV (4) IJCAI (4) AISTATS (2) ICML (2) ACML (1) ICLR (1) INTERSPEECH (1) JMLR (1) UAI (1) WACV (1)

Top co-authors

Yiming Ying (9) Xin Wang (8) Shu Hu (8) Baoyuan Wu (6) Longyin Wen (6) Dawei Du (5) Mingzhen Huang (5) Defang Chen (4) Wenbo Li (4) Can Wang (4)

Research topics

Statistics (1)

Keywords

image generation (5) deepfake detection (4) attention mechanism (3) multi-label classification (3) multi-label learning (3) knowledge distillation (3) generative adversarial network (3) adversarial perturbation (3) convex optimization (3) binary classification (3) object detection (2) metric learning (2) stochastic gradient descent (2) semi-supervised learning (2) unsupervised learning (2) stochastic optimization (2) image classification (2) image restoration (2) online learning (2) model compression (2)

Papers

DICE: Distilling Classifier-Free Guidance into Text Embeddings AAAI 2026
Your Text Encoder Can Be An Object-Level Watermarking Controller ICCV 2025
HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models CVPR 2025
Knowledge Distillation with Refined Logits ICCV 2025
Exposing Text-Image Inconsistency Using Diffusion Models ICLR 2024
Improving Fairness in Deepfake Detection WACV 2024
First-Order Minimax Bilevel Optimization NIPS 2024
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping NIPS 2024
Simple and Fast Distillation of Diffusion Models NIPS 2024
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection CVPR 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling ICML 2024
Tracking Multiple Deformable Objects in Egocentric Videos CVPR 2023
Controlling Neural Style Transfer with Deep Reinforcement Learning IJCAI 2023
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection NIPS 2023
Outlier Robust Adversarial Training ACML 2023
Adaptive Face Forgery Detection in Cross Domain ECCV 2022
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition AAAI 2022
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration AAAI 2022
Sum of Ranked Range Loss for Supervised Learning JMLR 2022
Differentially private SGDA for minimax problems UAI 2022
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning ICCV 2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss AISTATS 2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark CVPR 2021
Stochastic Actor-Executor-Critic for Image-to-Image Translation IJCAI 2021
Invisible Backdoor Attack With Sample-Specific Triggers ICCV 2021
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics CVPR 2020
Learning by Minimizing the Sum of Ranked Range NIPS 2020
Cascade Graph Neural Networks for RGB-D Salient Object Detection ECCV 2020
Learning Semantic Neural Tree for Human Parsing ECCV 2020
Voice Conversion Using Speech-to-Speech Neuro-Style Transfer INTERSPEECH 2020
3D Single-Person Concurrent Activity Detection Using Stacked Relation Network AAAI 2020
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently AAAI 2019
Learning Non-Uniform Hypergraph for Multi-Object Tracking AAAI 2019
Object-Driven Text-To-Image Synthesis via Adversarial Training CVPR 2019
Deep Correlated Predictive Subspace Learning for Incomplete Multi-View Semi-Supervised Classification IJCAI 2019
Stochastic Proximal Algorithms for AUC Maximization ICML 2018
Tagging Like Humans: Diverse and Distinct Image Annotation CVPR 2018
Multi-Scale Structure-Aware Network for Human Pose Estimation ECCV 2018
Adaptive RNN Tree for Large-Scale Human Action Recognition ICCV 2017
Learning with Average Top-k Loss NIPS 2017
Fast Convergence of Online Pairwise Learning Algorithms AISTATS 2016
Stochastic Online AUC Maximization NIPS 2016
Improving Image Restoration With Soft-Rounding ICCV 2015
Category-Blind Human Action Recognition: A Practical Recognition System ICCV 2015
ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph ICCV 2015
UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints CVPR 2015
Using Projection Kurtosis Concentration Of Natural Images For Blind Noise Covariance Matrix Estimation CVPR 2014
Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI IJCAI 2013
Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos ICCV 2013
On Algorithms for Sparse Multi-factor NMF NIPS 2013
Learning with Target Prior NIPS 2012
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NIPS 2010
Reducing statistical dependencies in natural signals using radial Gaussianization NIPS 2008
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures NIPS 2006