Siwei Lyu
55 papers · 2006–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24) π Renaissance Researcher (6) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
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Academic Marathon
(19)
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Cross-Pollinator
(13)
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Keyword Trendsetter Combo
(3)
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Deep Specialist
(12)
π±
Topic Pioneer
π§¬
Topic Evolution
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Keyword Champion
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Grand Slam
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Triple Crown
ποΈ
Keyword Collector
(74)
π
Trend Setter
π₯
Unstoppable
(16)
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Conference Pioneer
π
Century Club
(54)
β‘
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
Research topics
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