Zhuowen. Tu
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Computer Science
Zhuowen. Tu's Degrees
- Bachelors Computer Science Peking University
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(Suggest an Edit or Addition)Zhuowen. Tu's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Aggregated Residual Transformations for Deep Neural Networks (2016) (7323)
- Holistically-Nested Edge Detection (2015) (2669)
- Deeply-Supervised Nets (2014) (1700)
- Integral Channel Features (2009) (1299)
- Similarity network fusion for aggregating data types on a genomic scale (2014) (1193)
- Deeply Supervised Salient Object Detection with Short Connections (2016) (1054)
- Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification (2017) (944)
- Detecting texts of arbitrary orientations in natural images (2012) (729)
- Image segmentation by data driven Markov chain Monte Carlo (2001) (720)
- Image Parsing: Unifying Segmentation, Detection, and Recognition (2003) (678)
- Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation (2010) (585)
- Probabilistic boosting-tree: learning discriminative models for classification, recognition, and clustering (2005) (495)
- Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods (2011) (495)
- Supervised Learning of Edges and Object Boundaries (2006) (490)
- Robust Point Matching via Vector Field Consensus (2014) (444)
- Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree (2015) (433)
- Cluster-Based Co-Saliency Detection (2013) (351)
- Learning Context-Sensitive Shape Similarity by Graph Transduction (2010) (292)
- Auto-context and its application to high-level vision tasks (2008) (278)
- Attentional ShapeContextNet for Point Cloud Recognition (2018) (245)
- Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls (2009) (237)
- Feature Mining for Image Classification (2007) (231)
- Weakly supervised histopathology cancer image segmentation and classification (2014) (228)
- Shape Matching and Recognition - Using Generative Models and Informative Features (2004) (223)
- Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation (2010) (222)
- Rethinking Spatiotemporal Feature Learning For Video Understanding (2017) (220)
- Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment (2011) (212)
- Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models (2008) (207)
- Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls (2008) (205)
- Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls (2009) (202)
- Robust $L_{2}E$ Estimation of Transformation for Non-Rigid Registration (2015) (185)
- Co-Scale Conv-Attentional Image Transformers (2021) (180)
- Regularized vector field learning with sparse approximation for mismatch removal (2013) (175)
- Robust Estimation of Nonrigid Transformation for Point Set Registration (2013) (168)
- Multiple Component Learning for Object Detection (2008) (157)
- Improving Shape Retrieval by Learning Graph Transduction (2008) (149)
- Harvesting Mid-level Visual Concepts from Large-Scale Internet Images (2013) (148)
- Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification (2013) (148)
- Unsupervised metric fusion by cross diffusion (2012) (147)
- Unsupervised object class discovery via saliency-guided multiple class learning (2012) (146)
- Co-Transduction for Shape Retrieval (2010) (145)
- Training Deeper Convolutional Networks with Deep Supervision (2015) (140)
- Scalable k-NN graph construction for visual descriptors (2012) (133)
- MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation (2014) (114)
- Deeply Supervised Salient Object Detection with Short Connections (2017) (112)
- Max-Margin Multiple-Instance Dictionary Learning (2013) (110)
- Integrating contour and skeleton for shape classification (2009) (109)
- Learning Generative Models via Discriminative Approaches (2007) (107)
- Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering (2012) (106)
- Action Recognition with Actons (2013) (102)
- Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning ? (2008) (98)
- Integrating bottom-up/top-down for object recognition by data driven Markov chain Monte Carlo (2000) (95)
- Active skeleton for non-rigid object detection (2009) (92)
- Detecting Object Boundaries Using Low-, Mid-, and High-level Information (2007) (88)
- Pose Recognition with Cascade Transformers (2021) (87)
- Dense Volume-to-Volume Vascular Boundary Detection (2016) (86)
- Range image segmentation by an effective jump-diffusion method (2004) (85)
- Generalizing Pooling Functions in CNNs: Mixed, Gated, and Tree (2018) (81)
- ViTGAN: Training GANs with Vision Transformers (2021) (77)
- Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment (2006) (77)
- Exemplar-based human action pose correction and tagging (2012) (75)
- Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach (2007) (73)
- Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning (2011) (72)
- Unsupervised metric learning by Self-Smoothing Operator (2011) (69)
- Direct mapping of hippocampal surfaces with intrinsic shape context (2007) (66)
- Guided Variational Autoencoder for Disentanglement Learning (2020) (64)
- Affinity learning via self-diffusion for image segmentation and clustering (2012) (61)
- Introspective Neural Networks for Generative Modeling (2017) (60)
- HFS: Hierarchical Feature Selection for Efficient Image Segmentation (2016) (59)
- Identifying Heritable Brain Phenotypes in an Extended Pedigree of Vervet Monkeys (2009) (59)
- Deep Convolutional Neural Networks with Merge-and-Run Mappings (2016) (58)
- Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning (2021) (54)
- Parsing Images into Regions, Curves, and Curve Groups (2006) (53)
- Introspective Classification with Convolutional Nets (2017) (52)
- Automatic Subcortical Segmentation Using a Contextual Model (2008) (52)
- Learning to Predict from Crowdsourced Data (2014) (51)
- Shape band: A deformable object detection approach (2009) (51)
- Wasserstein Introspective Neural Networks (2017) (50)
- Learning Instance Occlusion for Panoptic Segmentation (2019) (49)
- Line Segment Detection Using Transformers without Edges (2021) (47)
- Attentional Constellation Nets for Few-Shot Learning (2021) (46)
- Learning a mixture of sparse distance metrics for classification and dimensionality reduction (2011) (44)
- Deep FisherNet for Object Classification (2016) (41)
- Efficient scale space auto-context for image segmentation and labeling (2009) (39)
- One-pixel Signature: Characterizing CNN Models for Backdoor Detection (2020) (39)
- Scale-Space SIFT flow (2014) (39)
- Dual Contradistinctive Generative Autoencoder (2020) (39)
- Deep FisherNet for Image Classification (2019) (37)
- Top-Down Learning for Structured Labeling with Convolutional Pseudoprior (2015) (37)
- Fixed-Point Model For Structured Labeling (2013) (37)
- Shape matching and registration by data-driven EM (2008) (36)
- Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation (2012) (35)
- On the Connection of Deep Fusion to Ensembling (2016) (35)
- Exemplar-Based Human Action Pose Correction (2014) (34)
- Rotation-Invariant Features for Multi-Oriented Text Detection in Natural Images (2013) (30)
- A Learning Based Approach for 3D Segmentation and Colon Detagging (2006) (30)
- Joint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors (2009) (30)
- Image Parsing: Segmentation, Detection, and Recognition (2003) (30)
- Long Short-Term Transformer for Online Action Detection (2021) (29)
- Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge (2008) (29)
- Robust Skull Stripping of Clinical Glioblastoma Multiforme Data (2011) (28)
- Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm (2007) (27)
- An integrated framework for image segmentation and perceptual grouping (2005) (27)
- Learning based coarse-to-fine image registration (2008) (26)
- Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration (2017) (26)
- Graph-shifts: Natural image labeling by dynamic hierarchical computing (2008) (26)
- Parsing Images into Region and Curve Processes (2002) (25)
- MeMOT: Multi-Object Tracking with Memory (2022) (25)
- A classification approach to coreference in discharge summaries: 2011 i2b2 challenge (2012) (23)
- Sparse Subspace Denoising for Image Manifolds (2013) (20)
- Classification of Alzheimer's Disease Using a Self-Smoothing Operator (2011) (19)
- Robust Subspace Discovery via Relaxed Rank Minimization (2014) (19)
- AUTOMATIC RECOGNITION OF CIVIL INFRASTRUCTURE OBJECTS IN MOBILE MAPPING IMAGERY USING A MARKOV RANDOM FIELD MODEL (2000) (18)
- Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries (2021) (18)
- Mapping hippocampal degeneration in 400 subjects with a novel automated segmentation approach (2008) (17)
- Medical Computer Vision. Large Data in Medical Imaging (2013) (17)
- DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images (2017) (16)
- Text Spotting Transformers (2022) (16)
- Open-Vocabulary Panoptic Segmentation with MaskCLIP (2022) (16)
- Object Recognition Using Junctions (2010) (16)
- X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks (2022) (16)
- Object Detection Free Instance Segmentation With Labeling Transformations (2016) (14)
- A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction (2002) (14)
- 3D Volumetric Modeling with Introspective Neural Networks (2019) (14)
- Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging (2010) (14)
- Semi-supervised Vision Transformers at Scale (2022) (14)
- Suicide Note Sentiment Classification: A Supervised Approach Augmented by Web Data (2012) (13)
- Symmetry Constraint for Foreground Extraction (2014) (13)
- Structural Edge Detection for Cardiovascular Modeling (2015) (13)
- Compatibility-aware Heterogeneous Visual Search (2021) (13)
- Agreement-Based Semi-supervised Learning for Skull Stripping (2010) (12)
- Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging (2011) (12)
- Geometry-Aware End-to-End Skeleton Detection (2019) (12)
- Joint Sulci Detection Using Graphical Models and Boosted Priors (2007) (12)
- Machine Learning for Brain Image Segmentation (2012) (11)
- Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis (2010) (11)
- Towards Whole Brain Segmentation by a Hybrid Model (2007) (11)
- Deformable Templates Guided Discriminative Models for Robust 3D Brain MRI Segmentation (2013) (11)
- Disagreement-Based Multi-system Tracking (2012) (10)
- Reverse Image Segmentation: A High-Level Solution to a Low-Level Task (2014) (10)
- A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci (2006) (10)
- Local Binary Pattern Networks (2018) (9)
- Instance Segmentation with Mask-supervised Polygonal Boundary Transformers (2022) (9)
- Convolutional Pseudo-Prior for Structured Labeling (2015) (9)
- Contexts-Constrained Multiple Instance Learning for Histopathology Image Analysis (2012) (8)
- Modeling diffusion-weighted MRI as a spatially variant gaussian mixture: application to image denoising. (2011) (7)
- Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models (2021) (7)
- Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity (2014) (7)
- Integral Channel Features - Addendum (2009) (7)
- Wavelet-Based Representation of Biological Shapes (2009) (6)
- Modeling diffusion-weighted MRI as a spatially variant Gaussian mixture: Application to image denoising. (2011) (5)
- Fusing adaptive atlas and informative features for robust 3D brain image segmentation (2010) (5)
- What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks (2015) (5)
- Corrigendum to “Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls” [NeuroImage 43 (2008) 59–68] (2009) (5)
- Topology-Aware Single-Image 3D Shape Reconstruction (2020) (5)
- A FRAMEWORK FOR AUTOMATIC RECOGNITION OF SPATIAL FEATURES FROM MOBILE MAPPING IMAGERY (2002) (5)
- One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery (2012) (4)
- Automatic Subcortical Segmentation Using a Novel Contextual Model (2008) (4)
- Fast Approximate Stochastic Tractography (2011) (4)
- Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs (2019) (4)
- Discriminative Clustering via Generative Feature Mapping (2012) (4)
- Neural Program Synthesis By Self-Learning (2019) (4)
- On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning (2022) (4)
- The Geometry of Multilingual Language Model Representations (2022) (3)
- Guest Editorial: Introduction to the Special Section on Fine-Grained Visual Categorization (2022) (3)
- Rethinking Exposure Bias In Language Modeling (2019) (3)
- Discretizing stochastic tractography: A fast implementation (2010) (3)
- MRF Labeling with a Graph-Shifts Algorithm (2008) (2)
- Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation (2009) (2)
- Lung Tumor Diagnosis and Subtype Discovery by Gene Expression Profiling (2006) (2)
- Learning Context-Sensitive Shape Similarity (2010) (2)
- Recognizing Objects From Any View With Object and Viewer-Centered Representations (2020) (2)
- ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training (2022) (2)
- Local Binary Pattern Networks for Character Recognition (2018) (2)
- Scalable $k$-NN graph construction (2013) (2)
- Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations (2020) (2)
- Randomness and sparsity induced codebook learning with application to cancer image classification (2012) (2)
- Controllable Top-down Feature Transformer (2017) (2)
- Introspective Classifier Learning: Empower Generatively (2017) (2)
- A two-layer structure prediction framework for microscopy cell detection (2014) (1)
- Introspective Generative Modeling: Decide Discriminatively (2017) (1)
- Effective Bayesian inference by data-driven Markov chain Monte Carlo for object recognition and image segmentation (2000) (1)
- Sparse semi-supervised learning for perceptual grouping (2010) (1)
- Scalable Neighborhood Graph Construction (2011) (1)
- Layered Logic Classifiers: Exploring the 'And' and 'Or' Relations (2014) (1)
- Towards Panoptic 3D Parsing for Single Image in the Wild (2021) (1)
- A spatially variant mixture model for diffusion weighted MRI : application to image denoising (2009) (1)
- Automated Hippocampal Segmentation and Mapping Reveals Genetically Accelerated Tissue Loss in 1-year Repeat MRI data from 490 Alzheimer's Disease, MCI, and Control Subjects (2009) (1)
- Automatic Caudate Segmentation by Hybrid Generative/Discriminative Models (2007) (1)
- Top-down Flow Transformer Networks (2017) (1)
- Fast Approximate Stochastic Tractography (2011) (0)
- Pictorial multi-atlas segmentation of brain MRI (2012) (0)
- Whole-body anatomy localization via classification and regression forests (2013) (0)
- Fusion deformable template with discriminative models for robust three-dimensional brain image segmentation (2011) (0)
- Visual Composite Set Detection Using Part-and-Sum Transformers (2021) (0)
- Properties of Pseudocontractive Updates in Convex Optimization (2014) (0)
- Deformable Templates Guided Discriminative Models for Robust 3D Brain MRI Segmentation (2013) (0)
- Segmentation of 3 D MR Images of the Brain Using a PCA Atlas and Nonrigid Registration (2010) (0)
- Point Cloud Recognition with Position-to-Structure Attention Transformers (2022) (0)
- Title Shape Matching and Recogntion : Using Generative Models and Informative Features Permalink (2004) (0)
- MRF Labeling with a Graph-Shifts Algorithm - eScholarship (2011) (0)
- Object Recognition from AIMS Data Using Neural Networks (1998) (0)
- DiffusionRig: Learning Personalized Priors for Facial Appearance Editing (2023) (0)
- Harvesting Motion Patterns in Still Images from the Internet (2014) (0)
- An In-depth Study of Stochastic Backpropagation (2022) (0)
- Title A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci Permalink (2006) (0)
- Automatic Recognition and Location of Civil Infrastructure Objects Using Mobile Mapping Technology, Neural Network and Markov Chain Monte Carlo (2000) (0)
- Image Parsing by Data-Driven Markov Chain Monte Carlo (2002) (0)
- Learning based approaches with applications to vision tasks (2011) (0)
- Characterizing convolutional neural networks with one-pixel signature (2019) (0)
- Pseudocontractive Updates: A Common Thread in Convex Optimization Methods (2014) (0)
- Improving Shape Retrieval by Learning New 1 1 Similarity Measures 2 2 (2008) (0)
- Unaligned Image-to-Sequence Transformation with Loop Consistency (2019) (0)
- Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013) (2013) (0)
- Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction (2023) (0)
- Supplementary Material for Compatibility-aware Heterogeneous Visual Search (2021) (0)
- Contrastive Neighborhood Alignment (2022) (0)
- Energy Minimization by Eeective Jump-diiusion Method for Range Segmentation (2002) (0)
- Editorial: Introduction to the Special Section on CVPR2019 Best Papers (2021) (0)
- A Two-Layer Representation For Large-Scale Action Recognition (2013) (0)
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