Feng Zhou
57 papers · 2009–2026 · 12 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (12)
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Cross-Pollinator
(6)
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(8)
π
Grand Slam
π€
Dynamic Duo
(10)
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Keyword Champion
π₯
Unstoppable
(10)
π
Trend Setter
π
Conference Pioneer
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(259)
β
The Questioner
π
Century Club
(55)
Conferences
CVPR (16)
AAAI (10)
NIPS (9)
ICCV (6)
ECCV (3)
ICLR (3)
COLING (2)
EMNLP (2)
ICML (2)
JMLR (2)
ACML (1)
AISTATS (1)
Top co-authors
Keywords
gaussian process
(5)
zero-shot learning
(4)
label bia
(4)
variational inference
(4)
point process
(4)
hawkes process
(4)
convolutional neural network
(4)
fine-grained classification
(3)
face anti-spoofing
(3)
diffusion model
(3)
bayesian inference
(3)
metric learning
(3)
face recognition
(3)
semantic segmentation
(2)
motion capture
(2)
remote sensing
(2)
multimodal learning
(2)
knowledge distillation
(2)
facial animation
(2)
few-shot learning
(2)
Papers
Exploring Position Encoding Mechanism in Diffusion U-Net for Training-free High-resolution Image Generation
AAAI 2026
Fair Bayesian Data Selection via Generalized Discrepancy Measures
AAAI 2026
Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method
CVPR 2025
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
ICLR 2025
Position-Aware Guided Point Cloud Completion with CLIP Model
AAAI 2025
Navigating Towards Fairness with Data Selection
AAAI 2025
AU-Blendshape for Fine-grained Stylized 3D Facial Expression Manipulation
ICCV 2025
BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation
COLING 2025
Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA
EMNLP 2025
Image is All You Need to Empower Large-scale Diffusion Models for In-Domain Generation
CVPR 2025
Human Motion Instruction Tuning
CVPR 2025
Design2GarmentCode: Turning Design Concepts to Tangible Garments Through Program Synthesis
CVPR 2025
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
CVPR 2025
Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation
CVPR 2025
Lifting by Image β Leveraging Image Cues for Accurate 3D Human Pose Estimation
AAAI 2024
Nonstationary Sparse Spectral Permanental Process
NIPS 2024
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
NIPS 2024
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
ICML 2024
Accelerating Convergence in Bayesian Few-Shot Classification
ICML 2024
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
AAAI 2024
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
COLING 2024
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
CVPR 2024
Is Score Matching Suitable for Estimating Point Processes?
NIPS 2024
Fair Representation Learning with Unreliable Labels
AISTATS 2023
Improving Crowded Object Detection via Copy-Paste
AAAI 2023
A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check
EMNLP 2023
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
NIPS 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
NIPS 2023
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
ICLR 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
NIPS 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
JMLR 2022
MagFace: A Universal Representation for Face Recognition and Quality Assessment
CVPR 2021
Body-Face Joint Detection via Embedding and Head Hook
ICCV 2021
Learning Compatible Embeddings
ICCV 2021
Continuous-time edge modelling using non-parametric point processes
NIPS 2021
Searching for Alignment in Face Recognition
AAAI 2021
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
AAAI 2021
Efficient Inference of Flexible Interaction in Spiking-neuron Networks
ICLR 2021
Bias-tolerant Fair Classification
ACML 2021
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
CVPR 2020
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing
CVPR 2020
Matching Guided Distillation
ECCV 2020
Learning Meta Model for Zero- and Few-Shot Face Anti-Spoofing
AAAI 2020
Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables
JMLR 2020
Recognizing Part Attributes With Insufficient Data
ICCV 2019
Fine-grained Video Categorization with Redundancy Reduction Attention
ECCV 2018
Compact Generalized Non-local Network
NIPS 2018
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
ECCV 2018
Deep Metric Learning With Angular Loss
ICCV 2017
Kernel Pooling for Convolutional Neural Networks
CVPR 2017
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels
CVPR 2016
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning With Humans in the Loop
CVPR 2016
Embedding Label Structures for Fine-Grained Feature Representation
CVPR 2016
Time-Mapping Using Space-Time Saliency
CVPR 2014
Deformable Graph Matching
CVPR 2013
Exemplar-Based Graph Matching for Robust Facial Landmark Localization
ICCV 2013
Canonical Time Warping for Alignment of Human Behavior
NIPS 2009