Song-Chun Zhu

Q: What Schools Are Affiliated With Song-Chun Zhu

Song-Chun Zhu is affiliated with the following schools: Harvard University, Brown University, University of Science and Technology of China, Rutgers University, University of California, Los Angeles, Nanjing University of Posts and Telecommunications

Song-Chun Zhu's AcademicInfluence.com Rankings

Song-Chun Zhu

Mathematics

#3961

World Rank

#5719

Historical Rank

Measure Theory

#462

World Rank

#658

Historical Rank

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Mathematics

Why Is Song-Chun Zhu Influential?

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According to Wikipedia, Song-Chun Zhu is a Chinese computer scientist and applied mathematician known for his work in computer vision, cognitive artificial intelligence and robotics. Zhu currently works at Peking University and was previously a professor in the Departments of Statistics and Computer Science at the University of California, Los Angeles. Zhu also previously served as Director of the UCLA Center for Vision, Cognition, Learning and Autonomy .

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Song-Chun Zhu'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

Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation (1996) (2328)
Image segmentation by data driven Markov chain Monte Carlo (2001) (720)
Image Parsing: Unifying Segmentation, Detection, and Recognition (2003) (678)
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling (1998) (639)
Visual interpretability for deep learning: a survey (2018) (612)
Interpretable Convolutional Neural Networks (2017) (588)
Minimax Entropy Principle and Its Application to Texture Modeling (1997) (499)
Prior Learning and Gibbs Reaction-Diffusion (1997) (417)
Learning Human-Object Interactions by Graph Parsing Neural Networks (2018) (401)
Cross-View Action Modeling, Learning, and Recognition (2014) (365)
FORMS: A flexible object recognition and modelling system (1995) (355)
Statistical Edge Detection: Learning and Evaluating Edge Cues (2003) (351)
I2T: Image Parsing to Text Description (2010) (301)
A Compositional and Dynamic Model for Face Aging (2010) (280)
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation (2017) (275)
What are Textons? (2005) (253)
Interpreting CNNs via Decision Trees (2018) (251)
Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation (1995) (251)
Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks (2007) (246)
A Theory of Generative ConvNet (2016) (241)
Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities (2005) (209)
Interpreting CNN knowledge via an Explanatory Graph (2017) (185)
Joint action recognition and pose estimation from video (2015) (184)
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification (2018) (182)
Learning Active Basis Model for Object Detection and Recognition (2010) (178)
From image parsing to painterly rendering (2009) (166)
Bottom-up/top-down image parsing by attribute graph grammar (2005) (155)
Bottom-Up/Top-Down Image Parsing with Attribute Grammar (2011) (152)
Embedding Gestalt Laws in Markov Random Fields (1999) (151)
RAVEN: A Dataset for Relational and Analogical Visual REasoNing (2019) (150)
Composite Templates for Cloth Modeling and Sketching (2006) (149)
Parsing video events with goal inference and intent prediction (2011) (149)
Scene Parsing by Integrating Function, Geometry and Appearance Models (2013) (146)
Example-based facial sketch generation with non-parametric sampling (2001) (146)
Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture (2000) (142)
Understanding tools: Task-oriented object modeling, learning and recognition (2015) (140)
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare (2019) (137)
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model (2019) (135)
Graph partition by Swendsen-Wang cuts (2003) (132)
A Multi-Resolution Dynamic Model for Face Aging Simulation (2007) (132)
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar (2018) (130)
Statistical Modeling and Conceptualization of Visual Patterns (2003) (127)
FRAME: filters, random fields, and minimax entropy towards a unified theory for texture modeling (1996) (126)
Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics (2013) (125)
Joint inference of groups, events and human roles in aerial videos (2015) (122)
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling (1998) (121)
Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition (2012) (119)
Learning AND-OR Templates for Object Recognition and Detection (2013) (116)
Bayesian reconstruction of 3D shapes and scenes from a single image (2003) (116)
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition (2017) (114)
Joint Video and Text Parsing for Understanding Events and Answering Queries (2013) (112)
Learning Descriptor Networks for 3D Shape Synthesis and Analysis (2018) (112)
Towards a mathematical theory of primal sketch and sketchability (2003) (111)
Monocular 3D Human Pose Estimation by Predicting Depth on Joints (2017) (110)
Modeling 4D Human-Object Interactions for Event and Object Recognition (2013) (109)
Primal sketch: Integrating structure and texture (2007) (108)
Multi-view People Tracking via Hierarchical Trajectory Composition (2016) (107)
Cooperative Training of Descriptor and Generator Networks (2016) (105)
On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models (2019) (104)
Alternating Back-Propagation for Generator Network (2016) (101)
Inferring "Dark Matter" and "Dark Energy" from Videos (2013) (101)
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image (2018) (100)
Fundamental bounds on edge detection: an information theoretic evaluation of different edge cues (1999) (97)
Unsupervised learning of event AND-OR grammar and semantics from video (2011) (96)
Integrating bottom-up/top-down for object recognition by data driven Markov chain Monte Carlo (2000) (95)
Visual Persuasion: Inferring Communicative Intents of Images (2014) (94)
Image Parsing with Stochastic Scene Grammar (2011) (92)
A Hierarchical Compositional Model for Face Representation and Sketching (2008) (90)
Design sparse features for age estimation using hierarchical face model (2008) (90)
Examining CNN representations with respect to Dataset Bias (2017) (90)
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet (2016) (88)
Flow mosaicking: Real-time pedestrian counting without scene-specific learning (2009) (87)
Equivalence of Julesz Ensembles and FRAME Models (2000) (87)
Reasoning Visual Dialogs With Structural and Partial Observations (2019) (86)
Learning Hybrid Image Templates (HIT) by Information Projection (2012) (85)
Range image segmentation by an effective jump-diffusion method (2004) (85)
Online Object Tracking, Learning and Parsing with And-Or Graphs (2014) (83)
Modeling Visual Patterns by Integrating Descriptive and Generative Methods (2003) (82)
Inferring Forces and Learning Human Utilities from Videos (2016) (82)
A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs (2011) (80)
Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model (2014) (80)
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020) (76)
Learning deformable action templates from cluttered videos (2009) (76)
A hierarchical and contextual model for aerial image understanding (2008) (75)
Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense (2019) (74)
Scene Understanding by Reasoning Stability and Safety (2015) (73)
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds (2021) (72)
Predicting Human Activities Using Stochastic Grammar (2017) (72)
Concurrent Action Detection with Structural Prediction (2013) (71)
Cosegmentation and Cosketch by Unsupervised Learning (2013) (70)
Sisley the abstract painter (2010) (69)
Learning Perceptual Inference by Contrasting (2019) (68)
Learning Latent Space Energy-Based Prior Model (2020) (68)
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning (2019) (68)
Learning Generative ConvNets via Multi-grid Modeling and Sampling (2017) (67)
A tale of two explanations: Enhancing human trust by explaining robot behavior (2019) (67)
Learning FRAME Models Using CNN Filters (2015) (66)
A Hierarchical and Contextual Model for Aerial Image Parsing (2010) (65)
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars (2017) (65)
Layered Graph Matching with Composite Cluster Sampling (2010) (64)
Discriminatively Trained And-Or Tree Models for Object Detection (2013) (63)
A Generative Method for Textured Motion: Analysis and Synthesis (2002) (63)
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation (2018) (62)
Portrait painting using active templates (2011) (62)
Learning Perceptual Causality from Video (2013) (62)
Modeling 4D Human-Object Interactions for Joint Event Segmentation, Recognition, and Object Localization (2017) (61)
Stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields (1999) (60)
Deformable Template As Active Basis (2007) (58)
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines (2020) (57)
Modeling textured motion : particle, wave and sketch (2003) (56)
Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes (2018) (56)
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face (2015) (56)
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning (2016) (56)
Monte Carlo Tree Search for Scheduling Activity Recognition (2013) (56)
Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation (2015) (55)
GRADE: Gibbs reaction and diffusion equations (1998) (55)
Learning Social Affordance for Human-Robot Interaction (2016) (54)
Parsing Images into Regions, Curves, and Curve Groups (2006) (53)
Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing (2017) (50)
From Information Scaling of Natural Images to Regimes of Statistical Models (2007) (50)
A high resolution grammatical model for face representation and sketching (2005) (50)
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model (2018) (49)
Compositional Boosting for Computing Hierarchical Image Structures (2007) (47)
Learning and Inferring “Dark Matter” and Predicting Human Intents and Trajectories in Videos (2018) (47)
Interactive Robot Knowledge Patching Using Augmented Reality (2018) (46)
Animated Pose Templates for Modeling and Detecting Human Actions (2014) (46)
Cascaded Parsing of Human-Object Interaction Recognition (2021) (46)
Learning Sparse FRAME Models for Natural Image Patterns (2015) (46)
Artistic paper-cut of human portraits (2010) (45)
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning (2020) (44)
Weakly Supervised Learning for Attribute Localization in Outdoor Scenes (2013) (44)
Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles (2017) (44)
A virtual reality platform for dynamic human-scene interaction (2016) (44)
Image Parsing via Stochastic Scene Grammar (2011) (42)
Robot learning with a spatial, temporal, and causal and-or graph (2016) (42)
SAVE: A framework for semantic annotation of visual events (2008) (42)
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning (2019) (42)
Single-View 3D Scene Parsing by Attributed Grammar (2014) (41)
Painterly animation using video semantics and feature correspondence (2010) (41)
Layered graph matching by composite cluster sampling with collaborative and competitive interactions (2009) (40)
Human Attribute Recognition by Rich Appearance Dictionary (2013) (40)
Inferring Shared Attention in Social Scene Videos (2018) (40)
Detecting potential falling objects by inferring human action and natural disturbance (2014) (40)
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time (2018) (39)
Grounded Semantic Role Labeling (2016) (39)
Integrating Grammar and Segmentation for Human Pose Estimation (2013) (39)
Analysis and synthesis of textured motion: particles and waves (2004) (38)
Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns (2019) (37)
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification (2020) (37)
A massively parallel and scalable multi-GPU material point method (2020) (37)
Learning inhomogeneous Gibbs model of faces by minimax entropy (2001) (36)
Learning in Gibbsian fields: how accurate and how fast can it be? (2000) (36)
Where and Why are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks (2018) (35)
Modeling Occlusion by Discriminative AND-OR Structures (2013) (35)
Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration (2016) (35)
Customizing painterly rendering styles using stroke processes (2011) (35)
A generative sketch model for human hair analysis and synthesis (2006) (35)
Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions (2020) (34)
Learning by Fixing: Solving Math Word Problems with Weak Supervision (2020) (34)
Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions (2017) (34)
Hierarchical Human Semantic Parsing With Comprehensive Part-Relation Modeling (2021) (33)
Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem (2016) (32)
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network (2019) (31)
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model (2020) (31)
High-Fidelity Grasping in Virtual Reality using a Glove-based System (2019) (31)
Primal Sketch: Integrating Texture and Structure (2011) (31)
Learning Artistic Lighting Template from Portrait Photographs (2010) (31)
Learning to Amend Facial Expression Representation via De-albino and Affinity (2021) (30)
Multigrid and multi-level Swendsen-Wang cuts for hierarchic graph partition (2004) (30)
Image Parsing: Segmentation, Detection, and Recognition (2003) (30)
Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition (2010) (30)
Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph (2017) (29)
A glove-based system for studying hand-object manipulation via joint pose and force sensing (2017) (29)
Unsupervised Structure Learning of Stochastic And-Or Grammars (2013) (29)
Learning and parsing video events with goal and intent prediction (2013) (28)
Recognizing Unseen Attribute-Object Pair with Generative Model (2019) (28)
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering (2022) (28)
Inferring human intent from video by sampling hierarchical plans (2016) (27)
Perceptual Scale-Space and Its Applications (2005) (27)
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples (2007) (27)
On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model (2019) (27)
C^4: Exploring Multiple Solutions in Graphical Models by Cluster Sampling (2011) (26)
Learning mixed templates for object recognition (2009) (26)
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference (2019) (26)
Learning generic prior models for visual computation (1997) (26)
Parsing Images into Region and Curve Processes (2002) (25)
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion (2018) (25)
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction (2018) (25)
Mining Object Parts from CNNs via Active Question-Answering (2017) (24)
Bayesian Inference for Layer Representation with Mixed Markov Random Field (2007) (24)
A multi-scale generative model for animate shapes and parts (2003) (24)
Jointly Recognizing Object Fluents and Tasks in Egocentric Videos (2017) (24)
An Automatic Portrait System Based on And-Or Graph Representation (2007) (24)
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning (2021) (24)
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis (2020) (24)
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects (2017) (24)
Mathematical modeling of clutter: descriptive vs. generative models (2000) (23)
Asymptotically Admissible Texture Synthesis (2001) (23)
An integrated background model for video surveillance based on primal sketch and 3D scene geometry (2008) (23)
What Is Where: Inferring Containment Relations from Videos (2016) (23)
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models (2020) (23)
Hierarchical Space Tiling for Scene Modeling (2012) (23)
Equivalence of Julesz and Gibbs texture ensembles (1999) (23)
Alternating BackPropagation for Generator Network (2016) (23)
Interpretable CNNs for Object Classification (2019) (23)
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose (2015) (23)
Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar (2018) (23)
LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities (2020) (22)
Using Causal Induction in Humans to Learn and Infer Causality from Video (2013) (22)
Layered Graph Match with Graph Editing (2007) (22)
Learning Knowledge-guided Pose Grammar Machine for 3D Human Pose Estimation (2017) (22)
Structured Attention for Unsupervised Dialogue Structure Induction (2020) (22)
Natural Language Interaction with Explainable AI Models (2019) (22)
Generalizing Swendsen–Wang for Image Analysis (2007) (22)
Learning reconfigurable scene representation by tangram model (2012) (21)
Statistical Modeling of Texture Sketch (2002) (21)
Unsupervised learning of compositional sparse code for natural image representation (2013) (21)
CO3 for ultra-fast and accurate interactive segmentation (2010) (21)
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models (2014) (21)
Inducing wavelets into random fields via generative boosting (2016) (20)
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry (2018) (20)
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar (2020) (20)
Learning explicit and implicit visual manifolds by information projection (2010) (20)
Unsupervised Learning of Neural Networks to Explain Neural Networks (2018) (20)
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? (2004) (20)
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points (2019) (19)
CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models (2021) (19)
Intent-Aware Multi-Agent Reinforcement Learning (2018) (19)
Evaluating Human Cognition of Containing Relations with Physical Simulation (2015) (19)
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions (2019) (19)
Discovering scene categories by information projection and cluster sampling (2010) (19)
Inferring Hidden Statuses and Actions in Video by Causal Reasoning (2017) (19)
Mapping Natural Image Patches by Explicit and Implicit Manifolds (2007) (19)
ACRE: Abstract Causal REasoning Beyond Covariation (2021) (18)
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution (2021) (18)
Synthesizing Diverse and Physically Stable Grasps With Arbitrary Hand Structures Using Differentiable Force Closure Estimator (2021) (18)
A Generalized Earley Parser for Human Activity Parsing and Prediction (2020) (18)
Visual learning by integrating descriptive and generative methods (2001) (18)
Trajectory parsing by cluster sampling in spatio-temporal graph (2009) (17)
Background modeling by subspace learning on spatio-temporal patches (2012) (17)
Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations (2018) (17)
Mining And-Or Graphs for Graph Matching and Object Discovery (2015) (17)
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering (2020) (17)
VRGym: a virtual testbed for physical and interactive AI (2019) (17)
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning (2020) (17)
Deeper Interpretability of Deep Networks (2018) (17)
Learning a scene contextual model for tracking and abnormality detection (2008) (17)
Extraction of an Explanatory Graph to Interpret a CNN (2020) (17)
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer (2018) (16)
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning (2022) (16)
Human parsing using stochastic and-or grammars and rich appearances (2011) (16)
Scene-Centric Joint Parsing of Cross-View Videos (2017) (16)
Unsupervised Foreground Extraction via Deep Region Competition (2021) (16)
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning (2021) (16)
A Two-Level Generative Model for Cloth Representation and Shape from Shading (2007) (16)
Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces (2015) (16)
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks (2020) (15)
Learning to infer human attention in daily activities (2020) (15)
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust (2019) (15)
Latent Diffusion Energy-Based Model for Interpretable Text Modeling (2022) (15)
Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose (2016) (15)
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns (2019) (15)
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization (2021) (15)
Interactively Transferring CNN Patterns for Part Localization (2017) (15)
What are Textons? (2002) (15)
VLGrammar: Grounded Grammar Induction of Vision and Language (2021) (14)
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning (2019) (14)
Object Categorization: Learning Compositional Models for Object Categories from Small Sample Sets (2008) (14)
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models (2018) (14)
Recognizing Car Fluents from Video (2016) (14)
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction (2002) (14)
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning (2022) (14)
Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions (2018) (13)
Analytic Study (2009) (13)
Modeling complex motion by tracking and editing hidden Markov graphs (2004) (13)
Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance (2021) (13)
Abstract painting with interactive control of perceptual entropy (2013) (13)
Human Causal Transfer: Challenges for Deep Reinforcement Learning (2018) (13)
Configurable, Photorealistic Image Rendering and Ground Truth Synthesis by Sampling Stochastic Grammars Representing Indoor Scenes (2017) (13)
The Martian: Examining Human Physical Judgments across Virtual Gravity Fields (2017) (13)
Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics (2017) (13)
Robust Visual Reasoning via Language Guided Neural Module Networks (2021) (13)
Intrackability: Characterizing Video Statistics and Pursuing Video Representations (2012) (12)
A Restricted Visual Turing Test for Deep Scene and Event Understanding (2015) (12)
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection (2015) (12)
Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction (2016) (12)
Action Understanding (2009) (12)
Image Segmentation by Data Driven Markov Chain (2001) (12)
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning (2021) (12)
Order parameters for minimax entropy distributions: when does high level knowledge help? (2000) (12)
Human-Robot Interaction in a Shared Augmented Reality Workspace (2020) (12)
Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC (2020) (12)
Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments (2021) (12)
Learning Active Basis Models by EM-Type Algorithms (2010) (12)
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving (2021) (12)
Video Primal Sketch: A generic middle-level representation of video (2011) (12)
Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays (2018) (12)
Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I (2000) (11)
Explainable AI as Collaborative Task Solving (2019) (11)
Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning (2019) (11)
Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs (2020) (11)
VersaGNN: a Versatile accelerator for Graph neural networks (2021) (11)
Video Stylization: Painterly Rendering and Optimization With Content Extraction (2013) (11)
Visual Discourse Parsing (2019) (11)
STAR: Sparse Transformer-based Action Recognition (2021) (11)
Evaluating information contributions of bottom-up and top-down processes (2009) (11)
A Reconfigurable Tangram Model for Scene Representation and Categorization (2016) (10)
Reconfigurable templates for robust vehicle detection and classification (2012) (10)
Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet (2016) (10)
Region Competition and its Analysis: A Unified Theory for Image Segmentation (1995) (10)
Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World (2020) (10)
ValueNet: A New Dataset for Human Value Driven Dialogue System (2021) (9)
Representation Learning: A Statistical Perspective (2019) (9)
Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection (2013) (9)
Building a Telescope to Look Into High-Dimensional Image Spaces (2018) (9)
Re ion COm et it ion: Unifying Snakes,Region Growing, inergy/Bayes P MDL for Multi-band Image Segmentation (1995) (9)
Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective (2021) (9)
Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning (2019) (9)
Image representation by active curves (2011) (9)
Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation (2021) (9)
Emergence of Pragmatics from Referential Game between Theory of Mind Agents (2020) (9)
Stochastic computation of medial axis in Markov random fields (1998) (9)
Automatic Single View Building Reconstruction by Integrating Segmentation (2004) (9)
Represent and Infer Human Theory of Mind for Human-Robot Interaction (2015) (8)
The role of V1 in shape representation (1997) (8)
YouRefIt: Embodied Reference Understanding with Language and Gesture (2021) (8)
Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging (2015) (8)
Sparse and deep generalizations of the FRAME model (2018) (8)
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues (2021) (8)
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions (2021) (8)
Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering (2018) (8)
VRKitchen: an Interactive 3D Environment for Learning Real Life Cooking Tasks (2019) (7)
Unsupervised learning of stochastic AND-OR templates for object modeling (2011) (7)
Cloth representation by shape from shading with shading primitives (2005) (7)
Mapping the Energy Landscape of Non-convex Optimization Problems (2015) (7)
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation (2021) (7)
Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations (2021) (7)
Unsupervised Learning of Hierarchical Models for Hand-Object Interactions (2018) (7)
Inferring Human Attention by Learning Latent Intentions (2017) (7)
Learning Triadic Belief Dynamics in Nonverbal Communication from Videos (2021) (7)
Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment (2019) (7)
Video Primal Sketch: A Unified Middle-Level Representation for Video (2015) (7)
Statistical and computational theories for image segmentation, texture modeling and object recognition (1996) (7)
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning (2021) (6)
A generative model of human hair for hair sketching (2005) (6)
Congestion-aware Evacuation Routing using Augmented Reality Devices (2020) (6)
A Unified Framework for Human-Robot Knowledge Transfer (2015) (6)
Inferring social roles in long timespan video sequence (2011) (6)
Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space (2019) (6)
MPI: Evaluating and Inducing Personality in Pre-trained Language Models (2022) (6)
Active Basis for Modeling, Learning and Recognizing Deformable Templates (2008) (6)
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis (2021) (5)
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning (2022) (5)
A Cost-Sensitive Visual Question-Answer Framework for Mining a Deep And-OR Object Semantics from Web Images (2017) (5)
On the Relationship Between Image and Motion Segmentation (2004) (5)
Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task (2017) (5)
Task Learning through Visual Demonstration and Situated Dialogue (2016) (5)
Mapping Energy Landscapes of Non-Convex Learning Problems (2014) (5)
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC (2020) (5)
Towards Socially Intelligent Agents with Mental State Transition and Human Utility (2021) (5)
Learning Generic Prior Models for Visual Computation (2004) (5)
Critical Features of Joint Actions that Signal Human Interaction (2016) (5)
SQA3D: Situated Question Answering in 3D Scenes (2022) (5)
Artistic Rendering of Portraits (2013) (5)
EgoTaskQA: Understanding Human Tasks in Egocentric Videos (2022) (5)
Incorporating visual knowledge representation in stereo reconstruction (2005) (5)
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Multi-Modal Conditional Learning. (2019) (4)
Inducing Hierarchical Compositional Model by Sparsifying Generator Network (2019) (4)
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis (2007) (4)
Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion (2018) (4)
A Reconfigurable Tangram Model for Scene Representation and Categorization. (2016) (4)
GRADE: Gibbs Reaction and Diffusion Equations (2004) (4)
Effective Representation to Capture Collaboration Behaviors between Explainer and User (2022) (4)
Learning FRAME Models Using CNN Filters for Knowledge Visualization (2015) (4)
Cluster Sampling and Its Applications in Image Analysis (2004) (4)
Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model (2019) (4)
First Hitting Time Analysis of the Independence Metropolis Sampler (2006) (4)
Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis (2021) (4)
Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics (2020) (4)
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control (2022) (4)
Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events (2018) (4)
Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation (2016) (4)
Perceptual Scaling (2004) (4)
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics (2017) (4)
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling. (2020) (4)
Statistical Principles in Image Modeling (2007) (4)
Network Transplanting (2018) (4)
Short range correlation transformer for occluded person re-identification (2022) (4)
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (2020) (4)
Towards Socially Intelligent Agents with Mental State Transition and Human Value (2022) (3)
Information Scaling Laws in Natural Scenes (2004) (3)
Learning from the Tangram to Solve Mini Visual Tasks (2021) (3)
Explanatory Graphs for CNNs (2018) (3)
I2T: Image Parsing to Text Description The key component of this image parsing system is a database of annotated Internet data generated under the control of an independent organization. (2010) (3)
How Do Heuristics Expedite Markov Chain Search? Hitting-time Analysis of the Independence Metropolis Sampler (2003) (3)
Analysis and Synthesis of Textured Motion : Particle , Wave and Cartoon Sketch (2003) (3)
COAT: Measuring Object Compositionality in Emergent Representations (2022) (3)
Learning Inhomogeneous FRAME Models for Object Patterns (2014) (3)
A Representational Model of Grid Cells Based on Matrix Lie Algebras (2020) (3)
Object Category Recognition Using Generative Template Boosting (2007) (3)
From local features to global perception - A perspective of Gestalt psychology from Markov random field theory (1999) (3)
Generative Hierarchical Learning of Sparse FRAME Models (2017) (3)
A Survey on Age Estimation Techniques (2017) (3)
Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence (2017) (3)
Emergent Graphical Conventions in a Visual Communication Game (2021) (3)
Exploring generative perspective of convolutional neural networks by learning random field models (2018) (2)
Mapping the Energy Landscape (2020) (2)
Inferring Context Through Scene Understanding (2017) (2)
PartAfford: Part-level Affordance Discovery from 3D Objects (2022) (2)
Attention cannot be an Explanation (2022) (2)
ARM: a lightweight module to amend facial expression representation (2022) (2)
Cluster sampling and its applications to segmentation, stereo and motion (2005) (2)
Unified framework for performance analysis of Bayesian inference (2000) (2)
Learning Deep Generative Models with Short Run Inference Dynamics (2019) (2)
Stochastic Graph Partition: Generalizing the Swendsen-Wang Method (2003) (2)
Interactive Agent Modeling by Learning to Probe (2018) (2)
A framework for shape representation and recognition (1994) (2)
Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations (2017) (2)
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models (2023) (2)
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks (2018) (2)
Learning Pose Grammar for Monocular 3 D Pose Estimation (2019) (2)
Scene Parsing by Data Driven Cluster Sampling (2011) (2)
A Compositional and Dynamic Model for Face Aging (2010) (2)
Integration and goal-guided scheduling of bottom-up and top-down computing processes in hierarchical models (2011) (2)
A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics (2021) (2)
HUGE2: a Highly Untangled Generative-model Engine for Edge-computing (2019) (2)
Iterative Teacher-Aware Learning (2021) (2)
An approach to improve SSD through mask prediction of multi-scale feature maps (2021) (2)
Emergence of Theory of Mind Collaboration in Multiagent Systems (2021) (2)
Discourse Analysis for Evaluating Coherence in Video Paragraph Captions (2022) (2)
Single-Image 3D Scene Parsing Using Geometric Commonsense (2017) (2)
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM (2022) (2)
Mapping the Ensemble of Natural Image Patches by Explicit and Implicit Manifolds (2007) (2)
Learning vector representation of local content and matrix representation of local motion, with implications for V1 (2019) (2)
Interpretations of Cluster Sampling by Swendsen-Wang (2013) (1)
Hierarchical organization by and-or tree (2015) (1)
VRKitchen2.0-IndoorKit: A Tutorial for Augmented Indoor Scene Building in Omniverse (2022) (1)
A mathematical theory of textons and primal sketch: integrating generative and descriptive methods (2005) (1)
DISCUSSION OF “EQUI-ENERGY SAMPLER ” BY KOU, (2006) (1)
Rates for Inductive Learning of Compositional Models (2013) (1)
Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1 (2019) (1)
Triangular Character Animation Sampling with Motion, Emotion, and Relation (2022) (1)
GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning (2021) (1)
An And-Or Graph Model for Face Representation, Sketching and Aging (2007) (1)
Intrackability: Characterizing Video Statistics and Pursuing Video Representations (2011) (1)
A unified psychological space for human perception of physical and social events (2021) (1)
MATHEMATICS OF SENSING, EXPLOITATION, AND EXECUTION (MSEE) Sensing, Exploitation, and Execution (SEE) on a Foundation for Representation, Inference, and Learning (2016) (1)
Discourse Parsing in Videos: A Multi-modal Appraoch (2019) (1)
Hamiltonian and Langevin Monte Carlo (2020) (1)
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics (2021) (1)
Patching Interpretable And‐Or‐Graph Knowledge Representation using Augmented Reality (2021) (1)
Effective Bayesian inference by data-driven Markov chain Monte Carlo for object recognition and image segmentation (2000) (1)
Integrating Function , Geometry , Appearance for Scene Parsing (2014) (1)
Knowledge Via An Explanatory Graph (2017) (1)
Probabilistic simulation predicts human judgments about substance dynamics (2019) (1)
A hierarchical and contextual model for learning and recognizing highly variant visual categories (2010) (1)
Learning Sparse FRAME Models for Natural Image Patterns (2014) (1)
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions (2017) (1)
Artistic Papercut of Human Portraits : Rendering and Perceptual Studies (2013) (1)
Vertical-Horizontal Structured Attention for Generating Music with Chords (2020) (1)
Modeling images and textures by minimax entropy (1997) (1)
Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation (2015) (1)
Multi-Shot Mining Semantic Part Concepts in CNNs (2016) (1)
Inducing Sparse Coding and And-Or Grammar from Generator Network (2019) (1)
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion (2019) (0)
Open-Set Domain Adaptation Classification Via Adversarial Learning (2022) (0)
Intention-based Behavioral Anomaly Detection (0)
Perceptual Scaling - eScholarship (2011) (0)
Inferring Naval Tactical Context through Scene Understanding (2016) (0)
Video Primal Sketch: A Unified Middle-Level Representation for Video (2015) (0)
Recognizing Car Fluents from Video Supplementary Material (2016) (0)
Simultaneous Localization and Mapping in a Hybrid Robot and Camera Network System (2010) (0)
Networks for 3 D Shape Synthesis and Analysis (2018) (0)
Title Multiscale Generative Model of Human Faces Permalink (2004) (0)
Learning Interactive Affordance for Human-Robot Interaction (2016) (0)
Weighted Entropy Modification for Soft Actor-Critic (2020) (0)
Sequential Decision Learning Models with Balloon Analogy Risk Task (2009) (0)
Modeling complex motion: photometric, geometric, dynamic, and topological aspects (2005) (0)
Metropolis Methods and Variants (2020) (0)
Scene Understanding by Reasoning Stability and Safety (2015) (0)
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation (2020) (0)
Title Primal Sketch : Integrating Texture and Structure Permalink (2005) (0)
Iterative Teacher-Aware Learning Supplementary Material (2021) (0)
Keynote Talk: Generative Hierarchical Models for Image Analysis (2009) (0)
Data Driven Markov Chain Monte Carlo (2020) (0)
Markov Chain Monte Carlo: The Basics (2020) (0)
Visual Interpretability forDeepLearning (2018) (0)
TWIN GRAPH CONVOLUTIONAL NETWORKS: GCN WITH DUAL GRAPH SUPPORT FOR SEMI-SUPERVISED LEARNING (2019) (0)
Title How Do Heuristics Expedite Markov Chain Search ? Hitting-time Analysis of the Independence Metropolis Sampler Permalink (2003) (0)
Alan Ulfers Litteneker – MS Thesis (2016) (0)
Whole constraint and partial triplet-center loss for infrared-visible re-identification (2022) (0)
Parsing: Unifying Segmentation, Detection, and Recognition (2005) (0)
A twofold-interpolation-based path planning algorithm and its path following based on improved virtual vehicle method (2012) (0)
Image Retrieval Based on Relevance-Quality Ranking (2013) (0)
Deep Hierarchical Human Semantic Parsing (2020) (0)
Learning and-or templates for object recognition by information projection (2011) (0)
Introduction by Guest Editors (2004) (0)
Hierarchical Organization by AndOr Tree (2012) (0)
Local abnormal behavior detection based on optical flow and spatio-temporal gradient (2015) (0)
Zhinan Xu – MS Thesis (2015) (0)
Attention-calibration based double-branch cross-domain person re-identification (2022) (0)
Convergence Analysis of MCMC (2020) (0)
Introduction to Monte Carlo Methods (2020) (0)
Computer Vision: Statistical Models for Marr's Paradigm (2023) (0)
Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs (2017) (0)
A Representational Model of Grid Cells' Path Integration Based on Matrix Lie Algebras (2020) (0)
Cluster Sampling Methods (2020) (0)
Inferring Human Interaction from Motion Trajectories in Aerial Videos (2017) (0)
Structure v . s . Appearance and 3 D v . s . 2 D ? A Numeric Answer (2013) (0)
Structure vs. Appearance and 3D vs. 2D? A Numeric Answer (2013) (0)
Learning Energy-Based 3D Descriptor Networks for Volumetric Shape Synthesis and Analysis (2019) (0)
Visual Inference by Markov Chain Monte Carlo Methods (2003) (0)
Title Stereo Visual Odometry with Windowed Bundle Adjustment Permalink (2015) (0)
Non-Parametric Quantum Theory Based Image Retrieval (2013) (0)
Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks (2019) (0)
CDI-Type II : From Data to Knowledge PRAXICON : Learning Grammars of Human Behavior 1 Introduction (2009) (0)
Learning V 1 cells with vector representations of local contents and matrix representations of local motions (2019) (0)
A vanishing theorem for the canonical blow-ups of Grassmann manifolds (2021) (0)
A statistical and computational theory for the art of painting (2011) (0)
Title From Information Scaling of Natural Images to Regimes of Statistical Models Permalink (2004) (0)
Discussion (2001) (0)
Dynamic Pattern Synthesis by Spatial-Temporal Generative ConvNet (2018) (0)
Title Bayesian Reconstruction of 3 D Shapes and Scenes From A Single Image Permalink (2003) (0)
International Workshop on Semantic Learning Applications in Multimedia (SLAM) (2007) (0)
Visual Learning By Integrating Des riptive and Generative (2001) (0)
Joint Cosegmentation and Cosketch by Unsupervised Learning (2014) (0)
Painting with Interactive Control of Perceptual Entropy (2012) (0)
A hierarchical compositional model for representation and sketching of high-resolution human images (2007) (0)
Bayesian reconstruction of 3D shapes and scenes from a single image (2003) (0)
GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis (2021) (0)
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration (2021) (0)
mpetition: Unifying Snakes, egion Growin and Bayes/MDL for Image Segmentation (1996) (0)
A Framework for Non-Photorealistic 2D Animation (2011) (0)
Cloth Representation by Shape from Shading (2011) (0)
CCPR 2008 Keynote Speech 3 and Keynote Speech 4 (2008) (0)
RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding (2022) (0)
Infrared-visible person re-identification via Dual-Channel attention mechanism (2023) (0)
Prior Learning and Gibbs Reaction-Diffusion share how this access benefits you. Your story matters (1997) (0)
Amending Facial Expression Representation via De-albino (2022) (0)
And-Or Graph Model for Faces (2009) (0)
Title Bottom-Up / Top-Down Image Parsing with Attribute Grammar Permalink (2006) (0)
Discussion of "EQUI-energy sampler" by Kou, Zhou and Wong (2006) (0)
Supplementary Material for Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds (2021) (0)
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling (2022) (0)
Interpretable CNNs (2019) (0)
ATR applications of minimax entropy models of texture and shape (2001) (0)
Representing physical and social events within a unified psychological space (2021) (0)
And-Or Graph Face Model and Its Applications in Artistic Sketching and Aging Simulation (2015) (0)
Program chairs' introduction to the first international workshop on stochastic image grammars (SIG-09) in conjunction with IEEE CVPR 2009 (2009) (0)
Computing three-dimensional scene from a single image by bottom-up/top-down bayesian inference (2005) (0)
Hierarchical Space Tiling (HST) for scene classification and attribute localization (2013) (0)
Perceptual Scale-Space and Its application (2011) (0)
High Order Statistics in Non-Euclidean Spaces Based Image Classification (2014) (0)
Supplementary Material for ACRE: Abstract Causal REasoning Beyond Covariation (2021) (0)
Spotlight (2011) (0)
Intelligent Perception (0)
Integrating Graph Partition and Matching with Editing (2008) (0)
Shimura operators for certain Hermitian symmetric superpairs (2022) (0)
Evaluating physical quantities and learning human utilities from RGBD videos (2016) (0)
Mining a Deep And-OR Object Semantics from Web Images via Cost-Sensitive Question-Answer-Based Active Annotations (2017) (0)
A Unified Middle-Level Representation for Video (2013) (0)
Learning with Stochastic Gradient (2020) (0)
Cross-modality person re-identication with triple-attentive feature aggregation (2021) (0)
Note for Alan ’ s Class (2009) (0)
Erratum to: Artistic Rendering of Portraits (2013) (0)
YOUREFIT: EMBODIED REFERENCE UNDERSTAND- (2021) (0)
R EL V I T: C ONCEPT - GUIDED V ISION T RANSFORMER FOR V ISUAL R ELATIONAL R EASONING (2022) (0)
THE ROLE OF VI IN SHAPE REPRESENTATION (2013) (0)
Eric Kim – MS Thesis (2016) (0)
Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition (2007) (0)
Holistic 3 D Indoor Scene Parsing and Reconstruction from a Single RGB Image (2018) (0)
Sequential Monte Carlo (2020) (0)
Gibbs Sampler and Its Variants (2020) (0)
Refining Annotations by Spreading Activation Theory (2012) (0)

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