Alan Yuille

Q: What Schools Are Affiliated With Alan Yuille

Alan Yuille is affiliated with the following schools: University of Oxford, University of California, Los Angeles, Johns Hopkins University, Korea University, Harvard University, University of Cambridge

Alan Yuille's AcademicInfluence.com Rankings

Alan Yuille

Computer Science

#982

World Rank

#1018

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Machine Learning

#59

World Rank

#59

Historical Rank

computer-science Degrees

Alan Yuille

Mathematics

#2069

World Rank

#3253

Historical Rank

Measure Theory

#113

World Rank

#181

Historical Rank

mathematics Degrees

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Mathematics

Why Is Alan Yuille Influential?

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According to Wikipedia, Alan Yuille is a Bloomberg Distinguished Professor of Computational Cognitive Science with appointments in the departments of Cognitive Science and Computer Science at Johns Hopkins University. Yuille develops models of vision and cognition for computers, intended for creating artificial vision systems. He studied under Stephen Hawking at Cambridge University on a PhD in theoretical physics, which he completed in 1981.

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Alan Yuille'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

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (2016) (12399)
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs (2014) (3967)
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation (1996) (2328)
Feature extraction from faces using deformable templates (1989) (2022)
Progressive Neural Architecture Search (2017) (1635)
Object perception as Bayesian inference. (2004) (1179)
The Concave-Convex Procedure (2003) (1145)
Attention to Scale: Scale-Aware Semantic Image Segmentation (2015) (1138)
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) (2014) (1121)
The Role of Context for Object Detection and Semantic Segmentation in the Wild (2014) (1080)
The Secrets of Salient Object Segmentation (2014) (1055)
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation (2021) (901)
Mitigating adversarial effects through randomization (2017) (787)
Detecting and reading text in natural scenes (2004) (767)
Vision as Bayesian inference: analysis by synthesis? (2006) (754)
Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation (2015) (737)
Scaling Theorems for Zero Crossings (1987) (736)
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation (2019) (735)
Generation and Comprehension of Unambiguous Object Descriptions (2015) (701)
Adversarial Examples for Semantic Segmentation and Object Detection (2017) (696)
Image Parsing: Unifying Segmentation, Detection, and Recognition (2003) (678)
Feature Denoising for Improving Adversarial Robustness (2018) (671)
Genetic CNN (2017) (642)
The Bas-Relief Ambiguity (1997) (637)
NormFace: L2 Hypersphere Embedding for Face Verification (2017) (600)
Data Fusion for Sensory Information Processing Systems (1990) (600)
Improving Transferability of Adversarial Examples With Input Diversity (2018) (579)
Multi-context Attention for Human Pose Estimation (2017) (538)
Probabilistic models of cognition: Conceptual foundations (2006) (498)
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts (2014) (486)
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations (2014) (482)
The Concave-Convex Procedure (CCCP) (2001) (467)
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification (2008) (464)
Few-Shot Image Recognition by Predicting Parameters from Activations (2017) (463)
Manhattan World: compass direction from a single image by Bayesian inference (1999) (450)
Robust Point Matching via Vector Field Consensus (2014) (444)
Deformable Templates for Face Recognition (1991) (425)
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation (2015) (400)
Towards unified depth and semantic prediction from a single image (2015) (400)
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (2020) (386)
Adversarial Examples Improve Image Recognition (2019) (373)
An Approach to Pose-Based Action Recognition (2013) (369)
FORMS: A flexible object recognition and modelling system (1995) (355)
Explain Images with Multimodal Recurrent Neural Networks (2014) (355)
Statistical Edge Detection: Learning and Evaluating Edge Cues (2003) (351)
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution (2020) (350)
Analog "neuronal" networks in early vision. (1986) (324)
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform (2015) (322)
Latent hierarchical structural learning for object detection (2010) (299)
Describing surfaces (1985) (296)
Bayesian decision theory and psychophysics (1996) (293)
Bayesian models of object perception (2003) (293)
Non-Rigid Point Set Registration by Preserving Global and Local Structures (2016) (286)
Deep Co-Training for Semi-Supervised Image Recognition (2018) (282)
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers (2020) (282)
A model for the estimate of local image velocity by cells in the visual cortex (1990) (258)
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection (2018) (257)
Generalized Deformable Models, Statistical Physics, and Matching Problems (1990) (255)
Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation (1995) (251)
Active Vision (1993) (249)
Robust principal component analysis by self-organizing rules based on statistical physics approach (1995) (249)
Masked Feature Prediction for Self-Supervised Visual Pre-Training (2021) (247)
CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation (2002) (245)
Learning Deep Structured Models (2014) (237)
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans (2016) (237)
A computational theory for the perception of coherent visual motion (1988) (236)
Occlusions and binocular stereo (1992) (235)
Adversarial Attacks and Defences Competition (2018) (234)
Shape Matching and Recognition - Using Generative Models and Informative Features (2004) (223)
UnrealCV: Connecting Computer Vision to Unreal Engine (2016) (222)
Two- and Three-Dimensional Patterns of the Face (2001) (220)
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples (2016) (219)
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding (2018) (214)
An Analysis of the Elastic Net Approach to the Traveling Salesman Problem (1989) (212)
Attention Correctness in Neural Image Captioning (2016) (203)
Robust Estimation of 3D Human Poses from a Single Image (2014) (202)
A common framework for image segmentation (1990) (198)
AdaBoost for Text Detection in Natural Scene (2011) (197)
iBOT: Image BERT Pre-Training with Online Tokenizer (2021) (197)
Bayesian generic priors for causal learning. (2008) (195)
An Extremum Principle for Shape from Contour (1983) (188)
Robust $L_{2}E$ Estimation of Transformation for Non-Rigid Registration (2015) (185)
A regularized solution to edge detection (1985) (184)
Single-Shot Object Detection with Enriched Semantics (2017) (184)
Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability (1999) (178)
5/spl plusmn/2 eigenimages suffice: an empirical investigation of low-dimensional lighting models (1995) (178)
Joint Multi-person Pose Estimation and Semantic Part Segmentation (2017) (170)
Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation (2017) (170)
Robust Estimation of Nonrigid Transformation for Point Set Registration (2013) (168)
A mathematical analysis of the motion coherence theory (1989) (167)
Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models (2011) (165)
Weakly Supervised Region Proposal Network and Object Detection (2018) (161)
The invisible hand algorithm: Solving the assignment problem with statistical physics (1994) (159)
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size (1994) (156)
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net (2015) (156)
The Motion Coherence Theory (1988) (156)
Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images (2015) (147)
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction (2018) (145)
Bottom-Up Segmentation for Top-Down Detection (2013) (143)
Statistical Physics Algorithms That Converge (1994) (138)
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion (2018) (137)
A Winner-Take-All Mechanism Based on Presynaptic Inhibition Feedback (1989) (134)
Manhattan World: Orientation and Outlier Detection by Bayesian Inference (2003) (132)
Intriguing Properties of Adversarial Training at Scale (2019) (132)
Shape and albedo from multiple images using integrability (1997) (125)
Recurrent Multimodal Interaction for Referring Image Segmentation (2017) (123)
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD (2014) (122)
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion (2008) (121)
The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference (2000) (121)
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation (2019) (120)
Deep Regression Forests for Age Estimation (2017) (118)
The Convergence of Contrastive Divergences (2004) (117)
Adversarial Attacks Beyond the Image Space (2017) (116)
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition (2019) (115)
Single Image Super-resolution Using Deformable Patches (2014) (115)
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots (2019) (115)
TransFG: A Transformer Architecture for Fine-grained Recognition (2021) (113)
Statistical Physics, Mixtures of Distributions, and the EM Algorithm (1994) (110)
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief (2011) (110)
Fingerprints theorems for zero crossings (1985) (109)
Snapshot Distillation: Teacher-Student Optimization in One Generation (2018) (109)
Joint Object and Part Segmentation Using Deep Learned Potentials (2015) (108)
Efficient Deformable Template Detection and Localization without User Initialization (2000) (108)
Are Transformers More Robust Than CNNs? (2021) (108)
Smooth Adversarial Training (2020) (105)
Deformable Templates for Feature Extraction from Medical Images (1990) (105)
A generalized ordering constraint for stereo correspondence (1984) (104)
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation (2017) (102)
Introduction: a Bayesian formulation of visual perception (1996) (100)
Scale invariance without scale selection (2008) (100)
Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning (2018) (99)
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation (2020) (98)
Determining The Optimal Weights In Multiple Objective Function Optimization (1988) (98)
When Radiology Report Generation Meets Knowledge Graph (2020) (98)
Fundamental bounds on edge detection: an information theoretic evaluation of different edge cues (1999) (97)
Statistical cues for domain specific image segmentation with performance analysis (2000) (97)
Max Margin AND/OR Graph learning for parsing the human body (2008) (95)
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training (2019) (94)
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students (2019) (94)
Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue. (2019) (94)
Shape-from-X: psychophysics and computation (1991) (94)
Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images (2018) (93)
Track finding with deformable templates — the elastic arms approach (1992) (92)
Semantic part segmentation using compositional model combining shape and appearance (2014) (90)
Part and appearance sharing: Recursive Compositional Models for multi-view (2010) (90)
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning (2021) (89)
Detecting Object Boundaries Using Low-, Mid-, and High-level Information (2007) (88)
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training (2018) (88)
DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images (2016) (86)
Universal Physical Camouflage Attacks on Object Detectors (2019) (85)
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model (1992) (84)
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing (2010) (83)
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans (2017) (83)
SURGE: Surface Regularized Geometry Estimation from a Single Image (2016) (83)
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation (2020) (81)
Mining 3D Key-Pose-Motifs for Action Recognition (2016) (80)
CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions (2019) (78)
Sources from shading (1991) (78)
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation (2019) (78)
AtomNAS: Fine-Grained End-to-End Neural Architecture Search (2019) (77)
Gaussian sampling by local perturbations (2010) (77)
Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories (2011) (76)
Parsing occluded people by flexible compositions (2014) (76)
Deep Nets: What have They Ever Done for Vision? (2018) (76)
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing (2007) (74)
Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach (2007) (73)
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation (2020) (73)
Label Distribution Learning Forests (2017) (72)
Stereo Integration, Mean Field Theory and Psychophysics (1990) (72)
Weight Standardization (2019) (70)
Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking (2000) (70)
A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired (2005) (69)
Statistical and Geometrical Approaches to Visual Motion Analysis, International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers (2009) (69)
OriNet: A Fully Convolutional Network for 3D Human Pose Estimation (2018) (67)
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection (2022) (67)
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation (2019) (66)
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students (2018) (66)
Towards Unified Object Detection and Semantic Segmentation (2014) (66)
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval (2019) (65)
Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation (2006) (65)
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections (2017) (65)
Impossible Shaded Images (1993) (64)
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma (2018) (64)
Local, global, and multilevel stereo matching (1993) (62)
Dense Scale Invariant Descriptors for Images and Surfaces (2012) (61)
Deformable templates (1993) (60)
Learning Transferable Adversarial Examples via Ghost Networks (2018) (60)
MAT: A Multimodal Attentive Translator for Image Captioning (2017) (59)
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning (2020) (58)
Are Labels Necessary for Neural Architecture Search? (2020) (58)
Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features. (2020) (57)
Object Recognition with and without Objects (2016) (57)
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net (2018) (57)
Learning From Synthetic Animals (2019) (56)
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition (2008) (56)
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing (2006) (56)
Unsupervised Learning of Object Deformation Models (2007) (56)
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion (2020) (55)
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization (2020) (55)
Convergence Properties of the Softassign Quadratic Assignment Algorithm (1999) (55)
CROSS-ITERATION BATCH NORMALIZATION (2019) (55)
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets (2020) (54)
Shape-Texture Debiased Neural Network Training (2020) (53)
Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features (2016) (53)
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection (2017) (52)
Occlusion Boundary Detection Using Pseudo-depth (2010) (52)
Regularizing face verification nets for pain intensity regression (2017) (51)
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (2021) (51)
A Novel Linelet-Based Representation for Line Segment Detection (2018) (51)
Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience. (2019) (50)
SORT: Second-Order Response Transform for Visual Recognition (2017) (49)
Joint Image-Text Representation by Gaussian Visual-Semantic Embedding (2016) (49)
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation (2020) (48)
Winner-take-all mechanisms (1998) (47)
Deep Distance Transform for Tubular Structure Segmentation in CT Scans (2019) (47)
Boundary Detection Benchmarking: Beyond F-Measures (2013) (47)
Zero crossings on lines of curvature (1989) (46)
Probabilistic Motion Estimation Based on Temporal Coherence (2000) (45)
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles (2020) (45)
Inference and Learning with Hierarchical Shape Models (2011) (45)
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion (2019) (45)
Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models (2006) (45)
Recursive segmentation and recognition templates for image parsing (2012) (45)
A depth recovery algorithm using defocus information (1989) (44)
Mask Guided Matting via Progressive Refinement Network (2020) (44)
A statistical approach to multi-scale edge detection (2003) (44)
Dependence of speed and direction perception on cinematogram dot density (1993) (43)
Probabilistic models of cognition: where next? (2006) (43)
One Shot Learning via Compositions of Meaningful Patches (2015) (43)
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques (2021) (43)
Image BERT Pre-training with Online Tokenizer (2022) (43)
Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation. (2019) (42)
Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation (2011) (42)
InterActive: Inter-Layer Activeness Propagation (2016) (42)
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion (2020) (42)
Adaptive occlusion state estimation for human pose tracking under self-occlusions (2013) (42)
Learning Object Representations from LightingVariationsR (1996) (41)
HOP: Hierarchical object parsing (2009) (41)
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images (2016) (41)
Rethinking Monocular Depth Estimation with Adversarial Training (2018) (40)
UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision (2016) (40)
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search (2020) (40)
A Primer on Probabilistic Inference (2008) (40)
ELASTIC: Improving CNNs With Dynamic Scaling Policies (2018) (40)
Scene Graph Parsing as Dependency Parsing (2018) (40)
Scale-Space SIFT flow (2014) (39)
Bayesian Models for Seeing Shapes and Depth (1990) (39)
Quadrature and the development of orientation selective cortical cells by Hebb rules (1989) (38)
Classification of spatially unaligned fMRI scans (2010) (38)
Unsupervised learning of object semantic parts from internal states of CNNs by population encoding (2015) (38)
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans (2020) (38)
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (2019) (37)
Recursive Segmentation and Recognition Templates for 2D Parsing (2008) (37)
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution (2018) (37)
Shape matching and registration by data-driven EM (2008) (36)
Neural Architecture Search for Lightweight Non-Local Networks (2020) (36)
Segmenting by seeking the symmetry axis (1998) (35)
A Hierarchical Compositional System for Rapid Object Detection (2005) (35)
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond (2017) (35)
A Convergence Proof for the Softassign Quadratic Assignment Algorithm (1996) (35)
Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net (2015) (35)
Active Mask Hierarchies for Object Detection (2010) (34)
Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm (2007) (34)
Glance-and-Gaze Vision Transformer (2021) (34)
CO2: Consistent Contrast for Unsupervised Visual Representation Learning (2020) (34)
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion (2017) (34)
Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images (2016) (34)
Signfinder: using color to detect, localize and identify informational signs (1998) (34)
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation (2017) (34)
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models (2019) (33)
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation (2019) (33)
Sobolev gradients and joint variational image segmentation, denoising, and deblurring (2009) (33)
Robust 3D Human Pose Estimation from Single Images or Video Sequences (2019) (32)
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm (2014) (32)
Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach (2016) (32)
Occluded Video Instance Segmentation (2021) (31)
Energy functions for early vision and analog networks (1989) (31)
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System (2018) (31)
Detecting Semantic Parts on Partially Occluded Objects (2017) (31)
Dimension reduction, generalized deformable models and the development of ocularity and orientation (1996) (31)
DOC: Deep OCclusion Estimation from a Single Image (2015) (31)
Visual Concepts and Compositional Voting (2017) (31)
Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency (2014) (30)
Occluded Video Instance Segmentation: A Benchmark (2021) (30)
Learning Object Representation form Lighting Variations (1996) (30)
Image Parsing: Segmentation, Detection, and Recognition (2003) (30)
TransMix: Attend to Mix for Vision Transformers (2021) (30)
A Theoretical Framework for Visual Motion (1996) (29)
Deep Differentiable Random Forests for Age Estimation (2019) (29)
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision (2016) (29)
Recognizing Actions in 3D Using Action-Snippets and Activated Simplices (2016) (29)
Lite Vision Transformer with Enhanced Self-Attention (2021) (29)
A Bayesian network framework for relational shape matching (2003) (29)
Modeling deformable gradient compositions for single-image super-resolution (2015) (29)
Ideal Observers for Detecting Motion: Correspondence Noise (2005) (28)
Self-Supervised Pillar Motion Learning for Autonomous Driving (2021) (28)
Elastic Boundary Projection for 3D Medical Image Segmentation (2018) (28)
Robust Face Detection via Learning Small Faces on Hard Images (2018) (28)
Can Temporal Information Help with Contrastive Self-Supervised Learning? (2020) (27)
A common theoretical framework for visual motion's spatial and temporal coherence (1989) (27)
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm (2007) (27)
Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning (1992) (27)
Particle tracking by deformable templates (1991) (27)
Region-based temporally consistent video post-processing (2015) (26)
k-means Mask Transformer (2022) (26)
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (2021) (26)
STEREOPSIS AND EYE-MOVEMENT. (1987) (26)
Sequential causal learning in humans and rats (2008) (26)
Graph-shifts: Natural image labeling by dynamic hierarchical computing (2008) (26)
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping (2021) (25)
Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis. (2020) (25)
Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models - eScholarship (2006) (25)
Massively parallel implementations of theories for apparent motion. (1987) (25)
Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT (2019) (25)
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion (2019) (24)
Efficient optimization of a deformable template using dynamic programming (1998) (24)
Multi-Instance Visual-Semantic Embedding (2015) (24)
A Double-Loop Algorithm to Minimize the Bethe and Kikuchi Free Energies (2001) (24)
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation (2022) (24)
A Generative Model Based Approach to Motion Segmentation (2003) (24)
Computational theories of low-level vision (1990) (24)
Perception as Bayesian Inference: Introduction (1996) (24)
Context-Aware Group Captioning via Self-Attention and Contrastive Features (2020) (23)
Multilevel Enhancement and Detection of Stereo Disparity Surfaces (1995) (23)
The Noisy-Logical Distribution and its Application to Causal Inference (2007) (23)
Efficient variational inference in large-scale Bayesian compressed sensing (2011) (23)
Probabilistic models of cognition. Special Issue. (2006) (23)
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network (2020) (23)
Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding (2016) (22)
Recursive Compositional Models for Vision: Description and Review of Recent Work (2011) (22)
Efficient Coding of Visual Scenes by Grouping and Segmentation (2006) (22)
A Yang-Mills Instanton in Taub-NUT Space (1978) (22)
Technical Introduction: A primer on probabilistic inference (2008) (22)
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation (2021) (22)
Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies (1997) (22)
Structure-perceptron learning of a hierarchical log-linear model (2008) (21)
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound (2018) (21)
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation (2021) (21)
Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation (2016) (21)
DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization (2015) (21)
Multiple Instance Visual-Semantic Embedding (2017) (21)
In Defense of Online Models for Video Instance Segmentation (2022) (21)
Human and Ideal Observers for Detecting Image Curves (2003) (20)
Modeling Causal Learning Using Bayesian Generic Priors on Generative and Preventive Powers (2011) (20)
3D symmetry-curvature duality theorems (1990) (20)
Deep Learning in Radiology: Now the Real Work Begins. (2018) (20)
Thickened 2D Networks for Efficient 3D Medical Image Segmentation. (2019) (20)
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? (2004) (20)
Unsupervised Learning Using Generative Adversarial Training And Clustering (2016) (20)
Intriguing properties of adversarial training (2019) (20)
A Bayesian Theory of Sequential Causal Learning and Abstract Transfer (2016) (19)
Motion correspondence and analog networks (1987) (19)
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization (2018) (19)
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An Active Patch Model for Real World Texture and Appearance Classification (2014) (18)
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training (2018) (18)
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation (2020) (18)
Rigidity and Smoothness of Motion (1987) (17)
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples (2020) (17)
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling (2013) (17)
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion (2020) (17)
Modeling Image Patches with a Generic Dictionary of Mini-epitomes (2014) (17)
Discovering Internal Representations from Object-CNNs Using Population Encoding (2015) (17)
Bayesian A Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking (2002) (17)
Point-Level Region Contrast for Object Detection Pre-Training (2022) (17)
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Bayesian models, deformable templates and competitive priors (1994) (16)
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AdaBoost Learning for Detecting and Reading Text in City Scenes (2004) (16)
DeepLab2: A TensorFlow Library for Deep Labeling (2021) (16)
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Learning from Temporal Gradient for Semi-supervised Action Recognition (2021) (16)
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An Alarm System for Segmentation Algorithm Based on Shape Model (2019) (15)
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Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking (1999) (15)
Joint Shape Representation and Classification for Detecting PDAC (2018) (15)
Fingerprints Theorems (1984) (15)
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SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering (2022) (15)
Complexity of Representation and Inference in Compositional Models with Part Sharing (2013) (15)
PartImageNet: A Large, High-Quality Dataset of Parts (2021) (14)
Augmented Rescorla-Wagner and Maximum Likelihood Estimation (2005) (14)
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Identifying Model Weakness with Adversarial Examiner (2019) (14)
Robust Region Grouping via Internal Patch Statistics (2013) (14)
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Transferring Face Verification Nets To Pain and Expression Regression (2017) (14)
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Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble (2020) (12)
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification (2018) (12)
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Gradually Updated Neural Networks for Large-Scale Image Recognition (2017) (11)
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction (2021) (11)
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Transfer of View-manifold Learning to Similarity Perception of Novel Objects (2017) (11)
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Adversarial Examples for Edge Detection: They Exist, and They Transfer (2019) (10)
Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures (2019) (10)
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Rethinking Normalization and Elimination Singularity in Neural Networks (2019) (9)
DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion (2017) (9)
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CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation (2022) (9)
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Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons (2016) (9)
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data (2018) (9)
CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. (2021) (9)
A unified model of short-range and long-range motion perception (2010) (9)
ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation (2020) (9)
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers (2021) (8)
Masked Autoencoders Enable Efficient Knowledge Distillers (2022) (8)
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Special Issue: Probabilistic models of cognition Probabilistic models of cognition: Conceptual foundations (2006) (8)
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels (2020) (8)
Self-occlusion robust 3D human pose tracking from monocular image sequence (2012) (8)
Probabilistic models of vision and max-margin methods (2012) (8)
Some perspective projection invariants (1988) (8)
Constrained optimization and the elastic net (1998) (8)
Spontaneous symmetry-breaking energy functionsand the emergence of orientation selective cortical cells (1988) (8)
Bayesian Self-Organization Driven by Prior Probability Distributions (1995) (8)
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection (2023) (8)
CoKe: Localized Contrastive Learning for Robust Keypoint Detection (2020) (8)
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model (2020) (7)
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency (2021) (7)
Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images (2019) (7)
Mean-field theory for grayscale texture synthesis using Gibbs random fields (1991) (7)
Algorithms from statistical physics for generative models of images (2003) (7)
Motion estimation by Swendsen-Wang Cuts (2004) (7)
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images (2021) (7)
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose (2021) (7)
Belief Propagation , Mean-field , and Bethe approximations (2010) (7)
The KGBR viewpoint-lighting ambiguity and its resolution by generic constraints (2001) (6)
Automated bone density calculation using feature extraction by deformable templates (1990) (6)
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models (2021) (6)
Thickened 2D Networks for 3D Medical Image Segmentation (2019) (6)
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors (2020) (6)
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation (2018) (6)
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings (2021) (6)
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition (2019) (6)
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification (2020) (6)
Weakly-Supervised Amodal Instance Segmentation with Compositional Priors (2020) (6)
The perceived motion of a stereokinetic stimulus (2006) (6)
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation (2021) (6)
Patch-based 3D Human Pose Refinement (2019) (6)
Superior perception of circular/radial than translational motion cannot be explained by generic priors (2010) (6)
A Hierarchical Image Model for Polynomial-Time 2D Parsing (2008) (6)
Functional form of motion priors in human motion perception (2010) (6)
Computational Vision : Principles of Perceptual Inference ∗ (1998) (6)
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data (2021) (6)
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models (2022) (6)
Bayesian Self-Organization (1993) (6)
Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis (2019) (6)
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data (2018) (5)
ELASTIC: Improving CNNs with Instance Specific Scaling Policies (2018) (5)
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Learning a dictionary of deformable patches using GPUs (2011) (5)
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification (2021) (5)
Structured Prediction using cGANs with Fusion Discriminator (2019) (5)
Temporally consistent region-based video exposure correction (2015) (5)
MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation (2001) (5)
Learning Basis Representation to Refine 3D Human Pose Estimations (2019) (5)
Scene-Domain Active Part Models for Object Representation (2015) (5)
Deformable templates, robust statistics, and Hough transforms (1991) (5)
Automated MR image processing and analysis of malignant brain tumors: enabling technology for data mining (2007) (5)
Inferential Models of the Visual Cortical Hierarchy* (2013) (4)
Simulated Adversarial Testing of Face Recognition Models (2021) (4)
OOD-CV: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts (2021) (4)
Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation (2018) (4)
The Smoothest Velocity Field and Token Matching (1983) (4)
Hierarchical segmentation of malignant gliomas via integrated contextual filter response (2008) (4)
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images (2021) (4)
A Fast and Simple Algorithm for Producing Candidate Regions (2014) (4)
Bridging the Gap Between 2D and 3D Organ Segmentation (2018) (4)
DOC: Deep OCclusion Recovering From A Single Image (2015) (4)
Larger organ size caused by obesity is a mechanism for higher cancer risk (2020) (4)
Model selection and velocity estimation using novel priors for motion patterns (2008) (4)
Training a general purpose deformable template (1994) (4)
Empirical Minimum Bayes Risk Prediction (2017) (4)
Theoretical model of disparity gradients (1987) (4)
Shape-aware Feature Extraction for Instance Segmentation (2019) (4)
Inference and learning with hierarchical compositional models (2009) (3)
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features (2022) (3)
Meticulous Object Segmentation (2020) (3)
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Few-shot Learning by Exploiting Visual Concepts within CNNs (2017) (3)
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification (2022) (3)
Unleashing the Potential of CNNs for Interpretable Few-Shot Learning (2017) (3)
Surface shape from warping (1997) (3)
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks (2020) (3)
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis (2022) (3)
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning (2022) (3)
Shape from Shading, Occlusion and Texture (1992) (3)
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Identity Preserve Transform: Understand What Activity Classification Models Have Learnt (2019) (3)
Vision: Bayesian Inference and Beyond (2014) (3)
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COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification (2021) (3)
Localizing Occluders with Compositional Convolutional Networks (2019) (3)
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PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector (2017) (3)
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Unleashing the Power of Visual Prompting At the Pixel Level (2022) (3)
Deep Collaborative Learning for Visual Recognition (2017) (3)
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Phase Collaborative Network for Two-Phase Medical Image Segmentation (2018) (3)
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Zero-shot Recognition of Complex Action Sequences (2019) (2)
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement (2021) (2)
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining (2021) (2)
Modeling the spacing effect in sequential category learning (2009) (2)
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Motion Integration Using Competitive Priors (2009) (2)
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Label-Assemble: Leveraging Multiple Datasets with Partial Labels (2021) (2)
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms (2021) (2)
An information theory perspective on computational vision (2010) (2)
Current Status of Radiomics and Deep Learning in Liver Imaging (2021) (2)
AdaBoost for text detection (2011) (2)
Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble (2020) (2)
MRF Labeling with a Graph-Shifts Algorithm (2008) (2)
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Stereo and controlled movement (1990) (2)
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Bottom-Up Processing in Complex Scenes: A Unifying Perspective on Segmentation, Fixation Saliency, Candidate Regions, Base-Detail Decomposition, and Image Enhancement (2015) (2)
Computing importance of 2D contour parts by reconstructability (2011) (2)
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2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans (2019) (1)
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Exploiting Protrusion Cues for Fast and Effective Shape Modeling via Ellipses (2017) (1)
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Learning to Refine 3D Human Pose Sequences (2019) (1)
A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation (2021) (1)
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Recursive compositional models: Representation, learning, and inference (2009) (1)
Bayesian Sensory Information Processing (1990) (1)
A Regularized Solution To Edge Detection AI Memo (1)
Relating Image Warping to 3D Geometrical Deformations (1997) (1)
Thickened 2 D Networks for 3 D Medical Image Segmentation (2019) (1)
Learning a Hierarchical Log-Linear Model for Rapid Deformable Object Parsing (2008) (1)
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Probabilistic Models of Cogntion: Conceptual Foundations (2006) (1)
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Generalized Coarse-to-Fine Visual Recognition with Progressive Training (2018) (1)
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Lesion Detection by Efficiently Bridging 3D Context (2019) (1)
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Regularizing Face Net For Discrete-Valued Pain Regression (2017) (1)
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Benchmarking Robustness in Neural Radiance Fields (2023) (1)
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans (2023) (1)
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation (2022) (1)
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Deeply Shape-guided Instance Segmentation (2019) (0)
Title Shape Matching and Recogntion : Using Generative Models and Informative Features Permalink (2004) (0)
Computation ofSurface Orientation andStructure of Objects Using GridCoding (1987) (0)
Statistical morphology (1991) (0)
Cue Coupling (2013) (0)
Lecture 2: Edge Detection and Multi-scale (2012) (0)
Title AdaBoost Learning for Detecting and Reading Text in City Scenes Permalink (2004) (0)
Lecture 12: Binocular Stereo and Belief Propagation (2012) (0)
Mean-field phase transitions and correlation functions for Gibbs random fields (1993) (0)
cation of spatially unaligned fMRI scans (2009) (0)
Title A Bayesian Network Framework for Relational Shape Matching Permalink (2003) (0)
Arbib Chapter : Lecture 3 (0)
MRF Labeling with a Graph-Shifts Algorithm - eScholarship (2011) (0)
Title Bayesian Models of Object Perception (2003) (0)
Grouping Iso-Velocity Points for Ego-Motion Recovery (1992) (0)
Object Boundary Detection and Foreground / Background Segmentation by Integrating Information from Low-level to High-level ∗ (2007) (0)
A Family of CCCP Algorithms Which Minimize the TRW Free Energy (2012) (0)
The Convergence of Contrastive Divergences - eScholarship (2005) (0)
Running head: SEQUENTIAL CAUSAL LEARNING (2015) (0)
Data driven Markov Chain Monte Carlo algorithm (2006) (0)
Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions (2023) (0)
Toward visual primal sketches (1985) (0)
Diffusion Models as Masked Autoencoders (2023) (0)
Weakly vs. Strongly Coupled Data Fusion: A Classification of Fusional Methods (1990) (0)
BNET: Batch Normalization With Enhanced Linear Transformation. (2023) (0)
Lecture 14 : Detecting Faces and Text (2012) (0)
Data Fusion Applied to Feature Based Stereo Algorithms (1990) (0)
1 Basic Concepts and Overview (2015) (0)
Author list (2021) (0)
Memo No . 082 May 10 , 2018 Scene Graph Parsing as Dependency Parsing (2018) (0)
In Defense of Image Pre-Training for Spatiotemporal Recognition (2022) (0)
Fidelity-Naturalness Evaluation of Single Image Super Resolution (2015) (0)
F AST A DV P ROP (2022) (0)
Coarse-To-Fine Incremental Few-Shot Learning - Appendix (2022) (0)
Resisting Large Data Variations via Introspective Transformation Network (2018) (0)
N E M O : N EURAL M ESH M ODELS OF C ONTRASTIVE F EATURES FOR R OBUST 3D P OSE E STIMATION (2021) (0)
mpetition: Unifying Snakes, egion Growin and Bayes/MDL for Image Segmentation (1996) (0)
Learning local and context information with applications to natural/medical image analysis (2008) (0)
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training (2022) (0)
Title A Hierarchical Compositional System for Rapid Object Detection Permalink (2005) (0)
CO 2 : C ONSISTENT C ONTRAST FOR U NSUPERVISED V ISUAL R EPRESENTATION L EARNING (2021) (0)
I BOT : I MAGE BERT P RE -T RAINING WITH O NLINE T OKENIZER (2022) (0)
Ad-a131 321 an Extremum Principle. For. Shape from Contour(u) (0)
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints (2019) (0)
The Perceived Motion of a Sterokinetic Stimulus (2011) (0)
Controlling Robotic Arm with a Vision-based Economic System Supplementary Materials (2019) (0)
Lecture 17 : Active Appearance Models and FORMS (2012) (0)
WEOTAWEO 2 LSTM WEO 1 Encoding WSS 1 WSS 2 WSSTB Decoding Attention Cell (2018) (0)
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection (2021) (0)
A hierarchical Bayesian model of causal learning in humans and rats (2008) (0)
CateNorm: Categorical Normalization for Robust Medical Image Segmentation (2021) (0)
Machine Learning and Probabilistic Models of Vision (2010) (0)
Ground-truth dataset and baseline evaluations for image base-detail separation algorithms (2015) (0)
Course : Model , Learning , and Inference : Lecture 11 (2009) (0)
DRAFT 3 / 4 / 07 Bayesian Generic Priors for Causal Learning (2007) (0)
Learning hierarchical models of shape (2011) (0)
Title Scale Invariance without Scale Selection Permalink (2008) (0)
Distributed representations of natural body pose in visual cortex (2022) (0)
Notes: DP/A*/Information (2009) (0)
Lecture Note #11 (2013) (0)
Motion Minimization and the Stereokinetic Effect (2004) (0)
Bayesian Models of Object Perception - eScholarship (2011) (0)
A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization (2014) (0)
Appendix for k -means Mask Transformer (2022) (0)
A Computational Model of Jazz Improvisation Inspired by Language (2015) (0)
Guest Editorial: Geometry, Lighting, Motion, and Learning (2014) (0)
A Light-weight Interpretable Compositional Model for Nuclei Detection and Weakly-Supervised Segmentation (2021) (0)
Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations (2021) (0)

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