Towards Scalable Dataset Construction: An Active Learning Approach. - Brendan Collins; Jia Deng 001; Kai Li 001; Li Fei-Fei 001 (ECCV (1), 2008)

ImageNet: A large-scale hierarchical image database. - Jia Deng 001; Wei Dong 003; Richard Socher; Li-Jia Li 001; Kai Li 001; Li Fei-Fei 001 (CVPR, 2009)

What Does Classifying More Than 10, 000 Image Categories Tell Us? - Jia Deng 001; Alexander C. Berg; Kai Li 001; Li Fei-Fei 001 (ECCV (5), 2010)

Hierarchical semantic indexing for large scale image retrieval. - Jia Deng 001; Alexander C. Berg; Li Fei-Fei 001 (CVPR, 2011)

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition. - Jia Deng 001; Sanjeev Satheesh; Alexander C. Berg; Li Fei-Fei 001 (NIPS, 2011)

Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. - Jia Deng 001; Jonathan Krause; Alexander C. Berg; Li Fei-Fei 001 (CVPR, 2012)

Crowdsourcing Annotations for Visual Object Detection. - Hao Su 001; Jia Deng 001; Li Fei-Fei 001 (HCOMP@AAAI, 2012)

Large Scale Visual Recognition - Jia Deng 001 (2012)

Fine-Grained Crowdsourcing for Fine-Grained Recognition. - Jia Deng 001; Jonathan Krause; Li Fei-Fei 001 (CVPR, 2013)

From Large Scale Image Categorization to Entry-Level Categories. - Vicente Ordonez; Jia Deng 001; Yejin Choi 001; Alexander C. Berg; Tamara L. Berg (ICCV, 2013)

Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? - Olga Russakovsky; Jia Deng 001; Zhiheng Huang; Alexander C. Berg; Li Fei-Fei 001 (ICCV, 2013)

3D Object Representations for Fine-Grained Categorization. - Jonathan Krause; Michael Stark 003; Jia Deng 001; Li Fei-Fei 001 (ICCV Workshops, 2013)

Scalable multi-label annotation. - Jia Deng 001; Olga Russakovsky; Jonathan Krause; Michael S. Bernstein; Alexander C. Berg; Li Fei-Fei 001 (CHI, 2014)

Large-Scale Object Classification Using Label Relation Graphs. - Jia Deng 001; Nan Ding 002; Yangqing Jia; Andrea Frome; Kevin Murphy 002; Samy Bengio; Yuan Li; Hartmut Neven; Hartwig Adam (ECCV (1), 2014)

Learning Features and Parts for Fine-Grained Recognition. - Jonathan Krause; Timnit Gebru; Jia Deng 001; Li-Jia Li 001; Li Fei-Fei 001 (ICPR, 2014)

Mining semantic affordances of visual object categories. - Yu-Wei Chao; Zhan Wang; Rada Mihalcea; Jia Deng 001 (CVPR, 2015)

Learning semantic relationships for better action retrieval in images. - Vignesh Ramanathan; Congcong Li; Jia Deng 001; Wei Han; Zhen Li 028; Kunlong Gu; Yang Song 009; Samy Bengio; Chuck Rosenberg 001; Li Fei-Fei 001 (CVPR, 2015)

HICO: A Benchmark for Recognizing Human-Object Interactions in Images. - Yu-Wei Chao; Zhan Wang; Yugeng He; Jiaxuan Wang; Jia Deng 001 (ICCV, 2015)

Probabilistic Label Relation Graphs with Ising Models. - Nan Ding 002; Jia Deng 001; Kevin P. Murphy; Hartmut Neven (ICCV, 2015)

Predicting Entry-Level Categories. - Vicente Ordonez; Wei Liu 015; Jia Deng 001; Yejin Choi 001; Alexander C. Berg; Tamara L. Berg (Int. J. Comput. Vis., 2015)

ImageNet Large Scale Visual Recognition Challenge. - Olga Russakovsky; Jia Deng 001; Hao Su 001; Jonathan Krause; Sanjeev Satheesh; Sean Ma; Zhiheng Huang; Andrej Karpathy; Aditya Khosla; Michael S. Bernstein; Alexander C. Berg; Li Fei-Fei 001 (Int. J. Comput. Vis., 2015)

Stacked Hourglass Networks for Human Pose Estimation. - Alejandro Newell; Kaiyu Yang; Jia Deng 001 (ECCV (8), 2016)

Structured Matching for Phrase Localization. - Mingzhe Wang; Mahmoud Azab; Noriyuki Kojima; Rada Mihalcea; Jia Deng 001 (ECCV (8), 2016)

Single-Image Depth Perception in the Wild. - Weifeng Chen; Zhao Fu; Dawei Yang; Jia Deng 001 (NIPS, 2016)

Learning to name objects. - Vicente Ordonez; Wei Liu 015; Jia Deng 001; Yejin Choi 001; Alexander C. Berg; Tamara L. Berg (Commun. ACM, 2016)

Associative Embedding: End-to-End Learning for Joint Detection and Grouping. - Alejandro Newell; Jia Deng 001 (CoRR, 2016)

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition. - Jia Deng 001; Jonathan Krause; Michael Stark 003; Li Fei-Fei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Fine-Grained Car Detection for Visual Census Estimation. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Li Fei-Fei 001 (AAAI, 2017)

Scalable Annotation of Fine-Grained Categories Without Experts. - Timnit Gebru; Jonathan Krause; Jia Deng 001; Li Fei-Fei 001 (CHI, 2017)

Forecasting Human Dynamics from Static Images. - Yu-Wei Chao; Jimei Yang; Brian L. Price; Scott Cohen; Jia Deng 001 (CVPR, 2017)

Temporal Action Localization by Structured Maximal Sums. - Ze-Huan Yuan; Jonathan C. Stroud; Tong Lu; Jia Deng 001 (CVPR, 2017)

Surface Normals in the Wild. - Weifeng Chen; Donglai Xiang; Jia Deng 001 (ICCV, 2017)

Surgeon Technical Skill Assessment using Computer Vision based Analysis. - Hei Law; Khurshid Ghani; Jia Deng 001 (MLHC, 2017)

Pixels to Graphs by Associative Embedding. - Alejandro Newell; Jia Deng 001 (NIPS, 2017)

Associative Embedding: End-to-End Learning for Joint Detection and Grouping. - Alejandro Newell; Zhiao Huang; Jia Deng 001 (NIPS, 2017)

Premise Selection for Theorem Proving by Deep Graph Embedding. - Mingzhe Wang; Yihe Tang; Jian Wang; Jia Deng 001 (NIPS, 2017)

Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Erez Aiden Lieberman; Li Fei-Fei 001 (CoRR, 2017)

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. - Timnit Gebru; Jonathan Krause; Yilun Wang; Duyun Chen; Jia Deng 001; Erez Lieberman Aiden; Li Fei-Fei 001 (Proc. Natl. Acad. Sci. USA, 2017)

Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution. - Lanlan Liu; Jia Deng 001 (AAAI, 2018)

Think Visually: Question Answering through Virtual Imagery. - Ankit Goyal 001; Jian Wang; Jia Deng 001 (ACL (1), 2018)

Rethinking the Faster R-CNN Architecture for Temporal Action Localization. - Yu-Wei Chao; Sudheendra Vijayanarasimhan; Bryan Seybold; David A. Ross; Jia Deng 001; Rahul Sukthankar (CVPR, 2018)

Decorrelated Batch Normalization. - Lei Huang 015; Dawei Yang; Bo Lang; Jia Deng 001 (CVPR, 2018)

Shape From Shading Through Shape Evolution. - Dawei Yang; Jia Deng 001 (CVPR, 2018)

Speaker Naming in Movies. - Mahmoud Azab; Mingzhe Wang; Max Smith; Noriyuki Kojima; Jia Deng 001; Rada Mihalcea (NAACL-HLT, 2018)

Entity and Event Extraction from Scratch Using Minimal Training Data. - Laura Wendlandt; Steven R. Wilson 001; Oana Ignat; Charles Welch; Li Zhang 039; Mingzhe Wang; Jia Deng 001; Rada Mihalcea (TAC, 2018)

Learning to Detect Human-Object Interactions. - Yu-Wei Chao; Yunfan Liu 001; Xieyang Liu; Huayi Zeng; Jia Deng 001 (WACV, 2018)

Learning Single-Image Depth from Videos using Quality Assessment Networks. - Weifeng Chen; Jia Deng 001 (CoRR, 2018)

Rethinking Numerical Representations for Deep Neural Networks. - Parker Hill; Babak Zamirai; Shengshuo Lu; Yu-Wei Chao; Michael Laurenzano; Mehrzad Samadi; Marios C. Papaefthymiou; Scott A. Mahlke; Thomas F. Wenisch; Jia Deng 001; Lingjia Tang; Jason Mars (CoRR, 2018)

Realistic Adversarial Examples in 3D Meshes. - Dawei Yang; Chaowei Xiao; Bo Li 026; Jia Deng 001; Mingyan Liu (CoRR, 2018)

Identifying Visible Actions in Lifestyle Vlogs. - Oana Ignat; Laura Burdick; Jia Deng 001; Rada Mihalcea (ACL (1), 2019)

Representing Movie Characters in Dialogues. - Mahmoud Azab; Noriyuki Kojima; Jia Deng 001; Rada Mihalcea (CoNLL, 2019)

Learning Single-Image Depth From Videos Using Quality Assessment Networks. - Weifeng Chen; Shengyi Qian 001; Jia Deng 001 (CVPR, 2019)

MeshAdv: Adversarial Meshes for Visual Recognition. - Chaowei Xiao; Dawei Yang; Bo Li 026; Jia Deng 001; Mingyan Liu (CVPR, 2019)

Generative Modeling for Small-Data Object Detection. - Lanlan Liu; Michael Muelly; Jia Deng 001; Tomas Pfister; Li-Jia Li 001 (ICCV, 2019)

SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. - Kaiyu Yang; Olga Russakovsky; Jia Deng 001 (ICCV, 2019)

Learning to Prove Theorems via Interacting with Proof Assistants. - Kaiyu Yang; Jia Deng 001 (ICML, 2019)

Building a Flexible Knowledge Graph to Capture Real-World Events. - Laura Burdick; Oana Ignat; Yiming Zhang; Rada Mihalcea; Mingzhe Wang; Steve Wilson 002; Yumou Wei; Jia Deng 001 (TAC, 2019)

Learning to Generate Synthetic 3D Training Data through Hybrid Gradient. - Dawei Yang; Jia Deng 001 (CoRR, 2019)

To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments. - Noriyuki Kojima; Jia Deng 001 (CoRR, 2019)

Feature Partitioning for Efficient Multi-Task Architectures. - Alejandro Newell; Lu Jiang 004; Chong Wang 002; Li-Jia Li 001; Jia Deng 001 (CoRR, 2019)

Compositional Temporal Visual Grounding of Natural Language Event Descriptions. - Jonathan C. Stroud; Ryan McCaffrey; Rada Mihalcea; Jia Deng 001; Olga Russakovsky (CoRR, 2019)

CornerNet-Lite: Efficient Keypoint based Object Detection. - Hei Law; Yun Teng; Olga Russakovsky; Jia Deng 001 (BMVC, 2020)

OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. - Weifeng Chen; Shengyi Qian 001; David Fan; Noriyuki Kojima; Max Hamilton; Jia Deng 001 (CVPR, 2020)

How Useful Is Self-Supervised Pretraining for Visual Tasks? - Alejandro Newell; Jia Deng 001 (CVPR, 2020)

Learning to Generate 3D Training Data Through Hybrid Gradient. - Dawei Yang; Jia Deng 001 (CVPR, 2020)

A Unified Framework of Surrogate Loss by Refactoring and Interpolation. - Lanlan Liu; Mingzhe Wang; Jia Deng 001 (ECCV (3), 2020)

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. - Zachary Teed; Jia Deng 001 (ECCV (2), 2020)

Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy. - Kaiyu Yang; Klint Qinami; Li Fei-Fei 001; Jia Deng 001; Olga Russakovsky (FAT*, 2020)

DeepV2D: Video to Depth with Differentiable Structure from Motion. - Zachary Teed; Jia Deng 001 (ICLR, 2020)

PackIt: A Virtual Environment for Geometric Planning. - Ankit Goyal 001; Jia Deng 001 (ICML, 2020)

LifeQA: A Real-life Dataset for Video Question Answering. - Santiago Castro; Mahmoud Azab; Jonathan C. Stroud; Cristina Noujaim; Ruoyao Wang; Jia Deng 001; Rada Mihalcea (LREC, 2020)

Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D. - Ankit Goyal 001; Kaiyu Yang; Dawei Yang; Jia Deng 001 (NeurIPS, 2020)

Learning to Prove Theorems by Learning to Generate Theorems. - Mingzhe Wang; Jia Deng 001 (NeurIPS, 2020)

Strongly Incremental Constituency Parsing with Graph Neural Networks. - Kaiyu Yang; Jia Deng 001 (NeurIPS, 2020)

D3D: Distilled 3D Networks for Video Action Recognition. - Jonathan C. Stroud; David A. Ross; Chen Sun 002; Jia Deng 001; Rahul Sukthankar (WACV, 2020)

Learning Video Representations from Textual Web Supervision. - Jonathan C. Stroud; David A. Ross; Chen Sun 002; Jia Deng 001; Rahul Sukthankar; Cordelia Schmid (CoRR, 2020)

Rearrangement: A Challenge for Embodied AI. - Dhruv Batra; Angel X. Chang; Sonia Chernova; Andrew J. Davison; Jia Deng 001; Vladlen Koltun; Sergey Levine; Jitendra Malik; Igor Mordatch; Roozbeh Mottaghi; Manolis Savva; Hao Su 001 (CoRR, 2020)

CornerNet: Detecting Objects as Paired Keypoints. - Hei Law; Jia Deng 001 (Int. J. Comput. Vis., 2020)

RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. - Lahav Lipson; Zachary Teed; Jia Deng 001 (3DV, 2021)

Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. - Yu-Wei Chao; Jimei Yang; Weifeng Chen; Jia Deng 001 (AAAI, 2021)

Dynamically Grown Generative Adversarial Networks. - Lanlan Liu; Yuting Zhang; Jia Deng 001; Stefano Soatto (AAAI, 2021)

RAFT-3D: Scene Flow Using Rigid-Motion Embeddings. - Zachary Teed; Jia Deng 001 (CVPR, 2021)

Tangent Space Backpropagation for 3D Transformation Groups. - Zachary Teed; Jia Deng 001 (CVPR, 2021)

Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline. - Ankit Goyal 001; Hei Law; Bowei Liu; Alejandro Newell; Jia Deng 001 (ICML, 2021)

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract). - Zachary Teed; Jia Deng 001 (IJCAI, 2021)

DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras. - Zachary Teed; Jia Deng 001 (NeurIPS, 2021)

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. - Ankit Goyal 001; Arsalan Mousavian; Chris Paxton 001; Yu-Wei Chao; Brian Okorn; Jia Deng 001; Dieter Fox (CVPR, 2022)

Coupled Iterative Refinement for 6D Multi-Object Pose Estimation. - Lahav Lipson; Zachary Teed; Ankit Goyal 001; Jia Deng 001 (CVPR, 2022)

Multiview Stereo with Cascaded Epipolar RAFT. - Zeyu Ma; Zachary Teed; Jia Deng 001 (ECCV (31), 2022)

Generating Natural Language Proofs with Verifier-Guided Search. - Kaiyu Yang; Jia Deng 001; Danqi Chen 001 (EMNLP, 2022)

A Study of Face Obfuscation in ImageNet. - Kaiyu Yang; Jacqueline H. Yau; Li Fei-Fei 001; Jia Deng 001; Olga Russakovsky (ICML, 2022)

Non-deep Networks. - Ankit Goyal 001; Alexey Bochkovskiy; Jia Deng 001; Vladlen Koltun (NeurIPS, 2022)

Infinite Photorealistic Worlds Using Procedural Generation. - Alexander Raistrick; Lahav Lipson; Zeyu Ma; Lingjie Mei; Mingzhe Wang; Yiming Zuo 001; Karhan Kayan; Hongyu Wen; Beining Han; Yihan Wang; Alejandro Newell; Hei Law; et al. (CVPR, 2023)

View Synthesis with Sculpted Neural Points. - Yiming Zuo 001; Jia Deng 001 (ICLR, 2023)

Siamese Masked Autoencoders. - Agrim Gupta; Jiajun Wu 001; Jia Deng 001; Fei-Fei Li 001 (NeurIPS, 2023)

Deep Patch Visual Odometry. - Zachary Teed; Lahav Lipson; Jia Deng 001 (NeurIPS, 2023)

View-Dependent Octree-based Mesh Extraction in Unbounded Scenes for Procedural Synthetic Data. - Zeyu Ma; Alexander Raistrick; Lahav Lipson; Jia Deng 001 (CoRR, 2023)

Learning Symbolic Rules for Reasoning in Quasi-Natural Language. - Kaiyu Yang; Jia Deng 001 (Trans. Mach. Learn. Res., 2023)

FetchBench: A Simulation Benchmark for Robot Fetching. - Beining Han; Meenal Parakh; Derek Geng; Jack A Defay; Luyang Gan; Jia Deng 001 (CoRL, 2024)

Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization. - Lahav Lipson; Jia Deng 001 (CVPR, 2024)

Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. - Alexander Raistrick; Lingjie Mei; Karhan Kayan; David Yan; Yiming Zuo 001; Beining Han; Hongyu Wen; Meenal Parakh; Stamatis Alexandropoulos; Lahav Lipson; Zeyu Ma; Jia Deng 001 (CVPR, 2024)

Deep Patch Visual SLAM. - Lahav Lipson; Zachary Teed; Jia Deng 001 (ECCV (2), 2024)

SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow. - Yihan Wang; Lahav Lipson; Jia Deng 001 (ECCV (7), 2024)

LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-layer Optical Flow. - Hongyu Wen; Erich Liang; Jia Deng 001 (ECCV (2), 2024)

OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations. - Yiming Zuo 001; Jia Deng 001 (ECCV (3), 2024)

Label-Free Synthetic Pretraining of Object Detectors. - Hei Law; Jia Deng 001 (WACV, 2024)

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration. - Yiming Zuo 001; Willow Yang; Zeyu Ma; Jia Deng 001 (CoRR, 2024)

Mesh Extraction for Unbounded Scenes Using Camera-Aware Octrees. - Zeyu Ma; Alexander Raistrick; Lahav Lipson; Jia Deng 001 (3DV, 2025)

Towards Foundation Models for 3D Vision: How Close are We? - Yiming Zuo 001; Karhan Kayan; Maggie Wang; Kevin Jeon; Jia Deng 001; Thomas L. Griffiths 001 (3DV, 2025)

Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation. - Hongyu Wen; Yiming Zuo 001; Venkat Subramanian; Patrick Chen; Jia Deng 001 (CoRR, 2025)

Procedural Dataset Generation for Zero-Shot Stereo Matching. - David Yan; Alexander Raistrick; Jia Deng 001 (CoRR, 2025)

Zero-shot Sim2Real Transfer for Magnet-Based Tactile Sensor on Insertion Tasks. - Beining Han; Abhishek Joshi; Jia Deng 001 (CoRR, 2025)

Infinigen-Sim: Procedural Generation of Articulated Simulation Assets. - Abhishek Joshi; Beining Han; Jack Nugent; Yiming Zuo 001; Jonathan Liu; Hongyu Wen; Stamatis Alexandropoulos; Tao Sun; Alexander Raistrick; Gaowen Liu; Yi Shao; Jia Deng 001 (CoRR, 2025)

AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation. - Meenal Parakh; Alexandre Kirchmeyer; Beining Han; Jia Deng 001 (CoRR, 2025)

Princeton365: A Diverse Dataset with Accurate Camera Pose. - Karhan Kayan; Stamatis Alexandropoulos; Rishabh Jain; Yiming Zuo 001; Erich Liang; Jia Deng 001 (CoRR, 2025)

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations. - Jack Nugent; Siyang Wu; Zeyu Ma; Beining Han; Meenal Parakh; Abhishek Joshi; Lingjie Mei; Alexander Raistrick; Xinyuan Li; Jia Deng 001 (CoRR, 2025)