Fumin Shen
47 papers · 2013–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (74) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(28)
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(4)
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Topic Evolution
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Dynamic Duo
(21)
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Renaissance Researcher
(7)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(198)
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Research topics
Machine Learning
(28)
Deep Learning
(26)
Computer Vision
(24)
Learning Types Β· Deep Learning
(21)
Learning Types Β· Machine Learning
(20)
Analysis
(17)
Core Methods
(14)
Artificial Intelligence
(12)
Core AI
(11)
Architectures
(7)
Models
(5)
Application Areas
(4)
Optimization & Theory
(4)
Computer Science
(3)
Applications
(3)
Keywords
image classification
(5)
zero-shot learning
(5)
binary code
(5)
multimodal learning
(4)
semantic segmentation
(4)
binary coding
(4)
contrastive learning
(4)
image retrieval
(4)
deep hashing
(3)
graph neural network
(3)
representation learning
(3)
noisy label
(3)
convolutional neural network
(3)
adversarial attack
(3)
vision-language model
(3)
sketch-based image retrieval
(3)
label noise
(2)
action recognition
(2)
metric learning
(2)
discrete optimization
(2)
Papers
De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning
AAAI 2026
Efficiency Follows Global-Local Decoupling
CVPR 2026
Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation
CVPR 2026
MedFG-VQA: Low-Frequency Memory and Graph Attention for Lightweight Medical VQA
CVPR 2026
Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration
CVPR 2026
PCA-Seg: Revisiting Cost Aggregation for Open-Vocabulary Semantic and Part Segmentation
CVPR 2026
Revisiting Learning with Noisy Labels: Active Forgetting and Noise Suppression
CVPR 2026
Structure-to-Intensity Diffusion for Adverse-Weather LiDAR Generation
CVPR 2026
From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs
ACL 2025
PHGC: Procedural Heterogeneous Graph Completion for Natural Language Task Verification in Egocentric Videos
CVPR 2025
Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval
AAAI 2024
Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion
CVPR 2024
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
ECCV 2022
PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction
CVPR 2022
Semi-Supervised Video Paragraph Grounding With Contrastive Encoder
CVPR 2022
TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval
AAAI 2022
Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning
AAAI 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
CVPR 2021
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
CVPR 2021
PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation
IJCAI 2021
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing
CVPR 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach
ICCV 2021
Auto-Encoding Twin-Bottleneck Hashing
CVPR 2020
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification
AAAI 2020
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
CVPR 2020
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling
CVPR 2019
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing
CVPR 2019
Dynamically Visual Disambiguation of Keyword-based Image Search
IJCAI 2019
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables
CVPR 2019
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
ICCV 2019
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States
ECCV 2018
Extracting Privileged Information from Untagged Corpora for Classifier Learning
IJCAI 2018
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval
ECCV 2018
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering
ECCV 2018
Neural Stereoscopic Image Style Transfer
ECCV 2018
TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights
ECCV 2018
Zero-Shot Sketch-Image Hashing
CVPR 2018
Binary Coding for Partial Action Analysis With Limited Observation Ratios
CVPR 2017
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
CVPR 2017
Discretely Coding Semantic Rank Orders for Supervised Image Hashing
CVPR 2017
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis
CVPR 2017
Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning
CVPR 2017
Zero-Shot Action Recognition With Error-Correcting Output Codes
CVPR 2017
A Unified Framework for Discrete Spectral Clustering
IJCAI 2016
Learning Binary Codes for Maximum Inner Product Search
ICCV 2015
Supervised Discrete Hashing
CVPR 2015
Inductive Hashing on Manifolds
CVPR 2013