Bolei Zhou
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Bolei Zhoucomputer-science Degrees
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Computer Science
Bolei Zhou's Degrees
- PhD Computer Science University of California, Berkeley
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science Peking University
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(Suggest an Edit or Addition)Bolei Zhou'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
- Learning Deep Features for Discriminative Localization (2015) (6566)
- Learning Deep Features for Scene Recognition using Places Database (2014) (2788)
- Places: A 10 Million Image Database for Scene Recognition (2018) (2698)
- Scene Parsing through ADE20K Dataset (2017) (1730)
- Object Detectors Emerge in Deep Scene CNNs (2014) (1148)
- Network Dissection: Quantifying Interpretability of Deep Visual Representations (2017) (1102)
- Semantic Understanding of Scenes Through the ADE20K Dataset (2016) (958)
- Temporal Relational Reasoning in Videos (2017) (791)
- Unified Perceptual Parsing for Scene Understanding (2018) (760)
- Interpreting the Latent Space of GANs for Semantic Face Editing (2019) (692)
- Moments in Time Dataset: One Million Videos for Event Understanding (2018) (419)
- In-Domain GAN Inversion for Real Image Editing (2020) (410)
- Scene Graph Generation from Objects, Phrases and Region Captions (2017) (392)
- Places: An Image Database for Deep Scene Understanding (2016) (373)
- Closed-Form Factorization of Latent Semantics in GANs (2020) (344)
- Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents (2012) (330)
- GAN Dissection: Visualizing and Understanding Generative Adversarial Networks (2018) (324)
- InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs (2020) (317)
- Simple Baseline for Visual Question Answering (2015) (301)
- Semantic photo manipulation with a generative image prior (2019) (270)
- Person Search with Natural Language Description (2017) (238)
- Measuring human perceptions of a large-scale urban region using machine learning (2018) (236)
- Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation (2018) (234)
- Interpreting Deep Visual Representations via Network Dissection (2017) (231)
- Measuring Crowd Collectiveness (2013) (216)
- Temporal Pyramid Network for Action Recognition (2020) (216)
- Interpretable Basis Decomposition for Visual Explanation (2018) (212)
- Understanding the role of individual units in a deep neural network (2020) (211)
- Seeing What a GAN Cannot Generate (2019) (201)
- Image Processing Using Multi-Code GAN Prior (2019) (195)
- GAN Inversion: A Survey (2021) (183)
- Random field topic model for semantic region analysis in crowded scenes from tracklets (2011) (151)
- Coherent Filtering: Detecting Coherent Motions from Crowd Clutters (2012) (148)
- Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis (2019) (137)
- Recognizing City Identity via Attribute Analysis of Geo-tagged Images (2014) (135)
- Deep Flow-Guided Video Inpainting (2019) (132)
- Cross-View Semantic Segmentation for Sensing Surroundings (2019) (126)
- SegICP: Integrated deep semantic segmentation and pose estimation (2017) (120)
- Visual Question Generation as Dual Task of Visual Question Answering (2017) (120)
- Multimodal Motion Prediction with Stacked Transformers (2021) (115)
- Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents (2014) (115)
- TPNet: Trajectory Proposal Network for Motion Prediction (2020) (93)
- Revisiting the Importance of Individual Units in CNNs via Ablation (2018) (90)
- DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios (2019) (85)
- Generative Hierarchical Features from Synthesizing Images (2020) (81)
- Understanding Intra-Class Knowledge Inside CNN (2015) (78)
- Instance Localization for Self-supervised Detection Pretraining (2021) (74)
- TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization (2021) (73)
- Optimization as Estimation with Gaussian Processes in Bandit Settings (2015) (69)
- Open Vocabulary Scene Parsing (2017) (68)
- A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation (2020) (63)
- 3D-aware Image Synthesis via Learning Structural and Textural Representations (2021) (63)
- C-IMAGE: city cognitive mapping through geo-tagged photos (2016) (61)
- Positional Encoding as Spatial Inductive Bias in GANs (2020) (59)
- Single Image Intrinsic Decomposition Without a Single Intrinsic Image (2018) (54)
- Video Representation Learning with Visual Tempo Consistency (2020) (53)
- Visualizing and Understanding Generative Adversarial Networks (Extended Abstract) (2019) (52)
- Data-Efficient Instance Generation from Instance Discrimination (2021) (44)
- ConceptLearner: Discovering visual concepts from weakly labeled image collections (2014) (44)
- MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning (2021) (42)
- Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow (2019) (40)
- CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers (2022) (39)
- A Phase Discrepancy Analysis of Object Motion (2010) (39)
- A Graph-Based Framework to Bridge Movies and Synopses (2019) (36)
- TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting (2020) (35)
- AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection (2022) (32)
- Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation (2022) (31)
- FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis (2018) (29)
- Reasoning About Human-Object Interactions Through Dual Attention Networks (2019) (28)
- A Unified Framework for Shot Type Classification Based on Subject Centric Lens (2020) (27)
- Improving the Fairness of Deep Generative Models without Retraining (2020) (27)
- Policy Continuation with Hindsight Inverse Dynamics (2019) (27)
- SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations (2021) (23)
- Recurrent Residual Module for Fast Inference in Videos (2018) (23)
- Real-Time Object Pose Estimation with Pose Interpreter Networks (2018) (23)
- Discovering place-informative scenes and objects using social media photos (2019) (22)
- DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation (2018) (19)
- PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks (2021) (19)
- Disentangled Inference for GANs With Latently Invertible Autoencoder (2019) (19)
- Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation (2022) (17)
- One-Shot Generative Domain Adaptation (2021) (17)
- Scene Graph Generation from Objects, Phrases and Caption Regions (2017) (17)
- Expert identification of visual primitives used by CNNs during mammogram classification (2018) (16)
- Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition (2021) (16)
- Learning a Decision Module by Imitating Driver's Control Behaviors (2019) (16)
- Texture Memory-Augmented Deep Patch-Based Image Inpainting (2020) (15)
- Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization (2021) (15)
- Visual Sound Localization in the Wild by Cross-Modal Interference Erasing (2022) (12)
- Comparing the Interpretability of Deep Networks via Network Dissection (2019) (11)
- Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design (2020) (11)
- Safe Driving via Expert Guided Policy Optimization (2021) (11)
- Improving GAN Equilibrium by Raising Spatial Awareness (2021) (10)
- DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis (2022) (10)
- Deep Learning for Scene Classification: A Survey (2021) (9)
- V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception (2022) (8)
- Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model (2021) (8)
- Non-local Policy Optimization via Diversity-regularized Collaborative Exploration (2020) (8)
- STransGAN: An Empirical Study on Transformer in GANs (2021) (7)
- Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization (2022) (6)
- Unsupervised Landmark Learning from Unpaired Data (2020) (6)
- Improving the Generalization of End-to-End Driving through Procedural Generation (2020) (6)
- Novel Policy Seeking with Constrained Optimization (2020) (6)
- Interpreting Visual Representations of Neural Networks via Network Dissection (2018) (6)
- Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining (2022) (5)
- Improving GANs with A Dynamic Discriminator (2022) (5)
- Zeroth-Order Supervised Policy Improvement (2020) (5)
- Interpreting Generative Adversarial Networks for Interactive Image Generation (2021) (4)
- Scene Classification (2020) (4)
- Scene Gist: A Holistic Generative Model of Natural Image (2009) (4)
- The Nuts and Bolts of Adopting Transformer in GANs (2021) (4)
- LocATe: End-to-end Localization of Actions in 3D with Transformers (2022) (4)
- Safe Exploration by Solving Early Terminated MDP (2021) (3)
- Exploiting Reward Shifting in Value-Based Deep RL (2022) (3)
- Learning Driving Decisions by Imitating Drivers' Control Behaviors (2019) (3)
- V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception (2023) (3)
- Action-Conditioned Contrastive Policy Pretraining (2022) (2)
- Street-View Image Generation from a Bird's-Eye View Layout (2023) (2)
- Evolutionary Stochastic Policy Distillation (2020) (2)
- Interpretable representation learning for visual intelligence (2018) (2)
- Visualizing and Understanding GANs (2019) (2)
- Human-AI Shared Control via Policy Dissection (2022) (2)
- TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios (2022) (2)
- Measurability of Crowd Collectiveness in Dynamic Scenes (2013) (1)
- GH-Feat: Learning Versatile Generative Hierarchical Features From GANs (2022) (1)
- PGDrive: Procedural Generation of Driving Environments for Generalization (2021) (1)
- Towards Smooth Video Composition (2022) (1)
- A Hierarchial Model for Visual Perception (2011) (1)
- Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping (2022) (1)
- Modeling Collective Crowd Behaviors in Video (2012) (1)
- GoSpark : An In-Memory Distributed Computation Platform in Go (2014) (0)
- Spatiotemporal dynamics of categorical representations in the human brain and deep convolutional neural networks (2018) (0)
- Comparing the Interpretability of the Deep Visual Representations via Network Dissection (2017) (0)
- Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping (2022) (0)
- On the Units of GANs (2020) (0)
- Improving GAN Equilibrium by Raising Spatial Awareness Supplementary Material (2022) (0)
- Preprint prepared for ArXiv submission (2018) (0)
- Object Detectors Emerge from Training CNNs for Scene Recognition (2015) (0)
- Generative Hierarchical Features from Synthesizing Images Supplementary Material (2021) (0)
- HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning (2021) (0)
- Guarded Policy Optimization with Imperfect Online Demonstrations (2023) (0)
- Human-AI Shared Control via Frequency-based Policy Dissection (2022) (0)
- A Large Scale Video Dataset for Event Recognition (2018) (0)
- Vocabulary Scene Parsing (0)
- O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S (2015) (0)
- Quantifying Interpretations of Deep Visual Representations (2017) (0)
- Spatial Steerability of GANs via Self-Supervision from Discriminator (2023) (0)
- Supplementary Material Searching for Actions on the Hyperbole (2020) (0)
- Policy Continuation and Policy Evolution with Hindsight Inverse Dynamics (2019) (0)
- Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents (2014) (0)
- Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning (2019) (0)
- Modeling Manifold Ways of Scene Perception (2011) (0)
- Learning with Social Influence through Interior Policy Differentiation (2019) (0)
- Unsupervised Image Transformation Learning via Generative Adversarial Networks (2021) (0)
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