Bolei Zhou

According to our database1, Bolei Zhou authored at least 82 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Cross-View Semantic Segmentation for Sensing Surroundings.
IEEE Robotics Autom. Lett., 2020

Moments in Time Dataset: One Million Videos for Event Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Texture Memory-Augmented Deep Patch-Based Image Inpainting.
CoRR, 2020

Understanding the Role of Individual Units in a Deep Neural Network.
CoRR, 2020

A Unified Framework for Shot Type Classification Based on Subject Centric Lens.
CoRR, 2020

Generative Hierarchical Features from Synthesizing Images.
CoRR, 2020

Closed-Form Factorization of Latent Semantics in GANs.
CoRR, 2020

Unsupervised Landmark Learning from Unpaired Data.
CoRR, 2020

Video Representation Learning with Visual Tempo Consistency.
CoRR, 2020

Non-local Policy Optimization via Diversity-regularized Collaborative Exploration.
CoRR, 2020

Zeroth-Order Supervised Policy Improvement.
CoRR, 2020

Novel Policy Seeking with Constrained Optimization.
CoRR, 2020

InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs.
CoRR, 2020

Evolutionary Stochastic Policy Distillation.
CoRR, 2020

In-Domain GAN Inversion for Real Image Editing.
CoRR, 2020

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Temporal Pyramid Network for Action Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Interpreting the Latent Space of GANs for Semantic Face Editing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Image Processing Using Multi-Code GAN Prior.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

TPNet: Trajectory Proposal Network for Motion Prediction.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Comparing the Interpretability of Deep Networks via Network Dissection.
Proceedings of the Explainable AI: Interpreting, 2019

Semantic photo manipulation with a generative image prior.
ACM Trans. Graph., 2019

Interpreting Deep Visual Representations via Network Dissection.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Semantic Understanding of Scenes Through the ADE20K Dataset.
Int. J. Comput. Vis., 2019

Learning Driving Decisions by Imitating Drivers' Control Behaviors.
CoRR, 2019

Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis.
CoRR, 2019

Cross-view Semantic Segmentation for Sensing Surroundings.
CoRR, 2019

Visualizing and Understanding Generative Adversarial Networks (Extended Abstract).
CoRR, 2019

Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning.
CoRR, 2019

Policy Continuation with Hindsight Inverse Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Visualizing and Understanding GANs.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

GAN Dissection: Visualizing and Understanding Generative Adversarial Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Graph-Based Framework to Bridge Movies and Synopses.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Reasoning About Human-Object Interactions Through Dual Attention Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Seeing What a GAN Cannot Generate.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Flow-Guided Video Inpainting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Interpretable representation learning for visual intelligence.
PhD thesis, 2018

Places: A 10 Million Image Database for Scene Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis.
CoRR, 2018

Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation.
CoRR, 2018

Revisiting the Importance of Individual Units in CNNs via Ablation.
CoRR, 2018

DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation.
CoRR, 2018

Expert identification of visual primitives used by CNNs during mammogram classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Real-Time Object Pose Estimation with Pose Interpreter Networks.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Interpretable Basis Decomposition for Visual Explanation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Temporal Relational Reasoning in Videos.
Proceedings of the Computer Vision - ECCV 2018, 2018

Unified Perceptual Parsing for Scene Understanding.
Proceedings of the Computer Vision - ECCV 2018, 2018

Single Image Intrinsic Decomposition Without a Single Intrinsic Image.
Proceedings of the Computer Vision - ECCV 2018, 2018

Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Recurrent Residual Module for Fast Inference in Videos.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Visual Question Generation as Dual Task of Visual Question Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Temporal Relational Reasoning in Videos.
CoRR, 2017

Visual Question Generation as Dual Task of Visual Question Answering.
CoRR, 2017

Scene Graph Generation from Objects, Phrases and Caption Regions.
CoRR, 2017

SegICP: Integrated deep semantic segmentation and pose estimation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Open Vocabulary Scene Parsing.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Scene Graph Generation from Objects, Phrases and Region Captions.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Scene Parsing through ADE20K Dataset.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Person Search with Natural Language Description.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Network Dissection: Quantifying Interpretability of Deep Visual Representations.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Semantic Understanding of Scenes through the ADE20K Dataset.
CoRR, 2016

Places: An Image Database for Deep Scene Understanding.
CoRR, 2016

Learning Deep Features for Discriminative Localization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Optimization as Estimation with Gaussian Processes in Bandit Settings.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents.
Int. J. Comput. Vis., 2015

Simple Baseline for Visual Question Answering.
CoRR, 2015

Object Detectors Emerge in Deep Scene CNNs.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Understanding Intra-Class Knowledge Inside CNN.
CoRR, 2015

ConceptLearner: Discovering visual concepts from weakly labeled image collections.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Measuring Crowd Collectiveness.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Learning Deep Features for Scene Recognition using Places Database.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Recognizing City Identity via Attribute Analysis of Geo-tagged Images.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Measuring Crowd Collectiveness.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Coherent Filtering: Detecting Coherent Motions from Crowd Clutters.
Proceedings of the Computer Vision - ECCV 2012, 2012

Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Modeling Manifold Ways of Scene Perception.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Random field topic model for semantic region analysis in crowded scenes from tracklets.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
A Phase Discrepancy Analysis of Object Motion.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Scene Gist: A Holistic Generative Model of Natural Image.
Proceedings of the Computer Vision, 2009


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