Jia Deng
#133,786
Most Influential Person Now
Jia Deng's AcademicInfluence.com Rankings
Jia Dengengineering Degrees
Engineering
#4714
World Rank
#5926
Historical Rank
Electrical Engineering
#1227
World Rank
#1316
Historical Rank
Jia Dengcomputer-science Degrees
Computer Science
#6031
World Rank
#6360
Historical Rank
Algorithms
#214
World Rank
#217
Historical Rank
Artificial Intelligence
#2070
World Rank
#2105
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Database
#3150
World Rank
#3284
Historical Rank
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Engineering Computer Science
Jia Deng's Degrees
- PhD Electrical Engineering Princeton University
- Masters Electrical Engineering Princeton University
- Bachelors Electrical Engineering Tsinghua University
Why Is Jia Deng Influential?
(Suggest an Edit or Addition)Jia Deng'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
- ImageNet: A large-scale hierarchical image database (2009) (42691)
- ImageNet Large Scale Visual Recognition Challenge (2014) (30481)
- Stacked Hourglass Networks for Human Pose Estimation (2016) (4059)
- CornerNet: Detecting Objects as Paired Keypoints (2018) (2322)
- 3D Object Representations for Fine-Grained Categorization (2013) (2177)
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (2020) (879)
- A large-scale hierarchical image database (2009) (829)
- Associative Embedding: End-to-End Learning for Joint Detection and Grouping (2016) (694)
- What Does Classifying More Than 10, 000 Image Categories Tell Us? (2010) (547)
- Rethinking the Faster R-CNN Architecture for Temporal Action Localization (2018) (481)
- Large-Scale Object Classification Using Label Relation Graphs (2014) (418)
- Single-Image Depth Perception in the Wild (2016) (402)
- Learning to Detect Human-Object Interactions (2017) (305)
- Fine-Grained Crowdsourcing for Fine-Grained Recognition (2013) (300)
- Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States (2017) (279)
- Crowdsourcing Annotations for Visual Object Detection (2012) (253)
- Hierarchical semantic indexing for large scale image retrieval (2011) (228)
- Pixels to Graphs by Associative Embedding (2017) (198)
- Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition (2012) (195)
- Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition (2011) (194)
- Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy (2019) (192)
- Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution (2017) (157)
- ImageNet: Constructing a large-scale image database (2010) (140)
- Towards Scalable Dataset Construction: An Active Learning Approach (2008) (140)
- Temporal Action Localization by Structured Maximal Sums (2017) (139)
- Scalable multi-label annotation (2014) (136)
- Decorrelated Batch Normalization (2018) (135)
- CornerNet-Lite: Efficient Keypoint based Object Detection (2019) (135)
- Collecting a Large-scale Dataset of Fine-grained Cars (2013) (124)
- DeepV2D: Video to Depth with Differentiable Structure from Motion (2018) (121)
- D3D: Distilled 3D Networks for Video Action Recognition (2018) (117)
- From Large Scale Image Categorization to Entry-Level Categories (2013) (113)
- Premise Selection for Theorem Proving by Deep Graph Embedding (2017) (111)
- Learning Features and Parts for Fine-Grained Recognition (2014) (110)
- Learning semantic relationships for better action retrieval in images (2015) (108)
- Forecasting Human Dynamics from Static Images (2017) (104)
- How Useful Is Self-Supervised Pretraining for Visual Tasks? (2020) (92)
- Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline (2021) (92)
- MeshAdv: Adversarial Meshes for Visual Recognition (2018) (87)
- Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? (2013) (85)
- DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras (2021) (83)
- Structured Matching for Phrase Localization (2016) (78)
- RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching (2021) (76)
- A Study of Face Obfuscation in ImageNet (2021) (76)
- Learning to Prove Theorems via Interacting with Proof Assistants (2019) (74)
- Mining semantic affordances of visual object categories (2015) (68)
- Learning Single-Image Depth From Videos Using Quality Assessment Networks (2018) (55)
- Fine-Grained Car Detection for Visual Census Estimation (2017) (54)
- Large scale visual recognition (2012) (53)
- RAFT-3D: Scene Flow using Rigid-Motion Embeddings (2020) (48)
- Leveraging the Wisdom of the Crowd for Fine-Grained Recognition (2016) (48)
- Generative Modeling for Small-Data Object Detection (2019) (41)
- Surface Normals in the Wild (2017) (32)
- OASIS: A Large-Scale Dataset for Single Image 3D in the Wild (2020) (29)
- Probabilistic Label Relation Graphs with Ising Models (2015) (28)
- Learning Video Representations from Textual Web Supervision (2020) (28)
- SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition (2019) (26)
- Predicting Entry-Level Categories (2015) (25)
- Tangent Space Backpropagation for 3D Transformation Groups (2021) (23)
- Realistic Adversarial Examples in 3D Meshes (2018) (22)
- Shape from Shading Through Shape Evolution (2017) (22)
- LifeQA: A Real-life Dataset for Video Question Answering (2020) (19)
- Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D (2020) (18)
- Learning to Prove Theorems by Learning to Generate Theorems (2020) (17)
- Scalable Annotation of Fine-Grained Categories Without Experts (2017) (17)
- Strongly Incremental Constituency Parsing with Graph Neural Networks (2020) (17)
- Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control (2019) (15)
- To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments (2019) (15)
- Semantic Relation Detection between Construction Entities to Support Safe Human-Robot Collaboration in Construction (2019) (14)
- Feature Partitioning for Efficient Multi-Task Architectures (2019) (14)
- Generating Natural Language Proofs with Verifier-Guided Search (2022) (12)
- Non-deep Networks (2021) (10)
- Identifying Visible Actions in Lifestyle Vlogs (2019) (10)
- Speaker Naming in Movies (2018) (9)
- Representing Movie Characters in Dialogues (2019) (9)
- Learning to name objects (2016) (9)
- A Unified Framework of Surrogate Loss by Refactoring and Interpolation (2020) (8)
- Dynamically Grown Generative Adversarial Networks (2021) (6)
- Learning Symbolic Rules for Reasoning in Quasi-Natural Language (2021) (6)
- PackIt: A Virtual Environment for Geometric Planning (2020) (5)
- Visual Census: Using Cars to Study People and Society (2017) (4)
- Learning to Generate Synthetic 3D Training Data through Hybrid Gradient (2019) (4)
- Compositional Temporal Visual Grounding of Natural Language Event Descriptions (2019) (3)
- Learning to Generate 3D Training Data Through Hybrid Gradient (2019) (3)
- Think Visually: Question Answering through Virtual Imagery (2018) (3)
- Scalable Annotation of Fine-Grained Objects Without Experts (2017) (1)
- UniLoss: Unified Surrogate Loss by Adaptive Interpolation (2019) (1)
- Entity and Event Extraction from Scratch Using Minimal Training Data (2018) (0)
- Video Motion Depth Motion Depth Depth Depth (2019) (0)
- Supplementary Materials for Surface Normals in the Wild (2017) (0)
- Supplementary Material A Unified Surrogate Loss Framework by Re-expression and Interpolation (2020) (0)
- Using Deep Learning and Google Street View to Estimate the De- mographic Makeup of the US (2017) (0)
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