Tianfu Wu
30 papers · 2013–2026 · 8 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 (51) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Grand Slam
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Keyword Champion
(3)
π€
Dynamic Duo
(10)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(156)
Top co-authors
Research topics
Computer Vision
(21)
Analysis
(20)
Deep Learning
(17)
Machine Learning
(17)
Learning Types Β· Machine Learning
(12)
Artificial Intelligence
(10)
Architectures
(10)
Core AI
(10)
Optimization & Theory
(6)
Processing
(6)
Learning Types Β· Deep Learning
(5)
Core Methods
(4)
Models
(3)
Application Areas
(2)
Domain-Specific
(2)
Keywords
object detection
(8)
neural network
(4)
semantic segmentation
(4)
convolutional neural network
(3)
line segment detection
(3)
3d reconstruction
(3)
adversarial attack
(3)
attraction field
(2)
latent structural svm
(2)
autonomous driving
(2)
catastrophic forgetting
(2)
neural radiance field
(2)
structural svm
(2)
attention mechanism
(2)
image classification
(2)
video understanding
(2)
weakly supervised learning
(2)
dynamic programming
(2)
multi-label learning
(1)
structure learning
(1)
Papers
CHEEM: Continual Learning by Reuse, New, Adapt and Skip - A Hierarchical Exploration-Exploitation Approach
CVPR 2026
Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian
ICML 2025
DiffMesh: A Motion-Aware Diffusion Framework for Human Mesh Recovery from Videos
WACV 2025
GSBA^K: top-K Geometric Score-based Black-box Attack
ICLR 2025
ScaleLSD: Scalable Deep Line Segment Detection Streamlined
CVPR 2025
WeGeFT: Weight-Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models
ICML 2025
Multi-View Attentive Contextualization for Multi-View 3D Object Detection
CVPR 2024
NEAT: Distilling 3D Wireframes from Neural Attraction Fields
CVPR 2024
CGBA: Curvature-aware Geometric Black-box Attack
ICCV 2023
Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces
CVPR 2023
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver
ICCV 2023
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
CVPR 2023
QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks
NeurIPS 2023
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
AAAI 2022
Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation
CVPR 2022
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
NeurIPS 2022
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
ICCV 2021
Attentive Normalization
ECCV 2020
Holistically-Attracted Wireframe Parsing
CVPR 2020
Inducing Hierarchical Compositional Model by Sparsifying Generator Network
CVPR 2020
AOGNets: Compositional Grammatical Architectures for Deep Learning
CVPR 2019
Image Synthesis From Reconfigurable Layout and Style
ICCV 2019
Learning Attraction Field Representation for Robust Line Segment Detection
CVPR 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
ICML 2019
Towards Interpretable Object Detection by Unfolding Latent Structures
ICCV 2019
Recognizing Car Fluents From Video
CVPR 2016
Online Object Tracking, Learning and Parsing with And-Or Graphs
CVPR 2014
Discriminatively Trained And-Or Tree Models for Object Detection
CVPR 2013
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection
ICCV 2013
Modeling Occlusion by Discriminative AND-OR Structures
ICCV 2013