Jia Deng

According to our database, Jia Deng authored at least 98 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Label-Free Synthetic Pretraining of Object Detectors.

Hei Law, Jia Deng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

View-Dependent Octree-based Mesh Extraction in Unbounded Scenes for Procedural Synthetic Data.

Zeyu Ma, Alexander Raistrick, Lahav Lipson, Jia Deng

CoRR, 2023

Deep Patch Visual Odometry.

Zachary Teed, Lahav Lipson, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Siamese Masked Autoencoders.

Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

View Synthesis with Sculpted Neural Points.

Yiming Zuo, Jia Deng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Infinite Photorealistic Worlds Using Procedural Generation.

Alexander Raistrick, Lahav Lipson, Zeyu Ma, Lingjie Mei, Mingzhe Wang, Yiming Zuo, Karhan Kayan, Hongyu Wen, Beining Han, Yihan Wang, Alejandro Newell, Hei Law, Ankit Goyal, Kaiyu Yang, Jia Deng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Non-deep Networks.

Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Study of Face Obfuscation in ImageNet.

Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky

Proceedings of the International Conference on Machine Learning, 2022

Generating Natural Language Proofs with Verifier-Guided Search.

Kaiyu Yang, Jia Deng, Danqi Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multiview Stereo with Cascaded Epipolar RAFT.

Zeyu Ma, Zachary Teed, Jia Deng

Proceedings of the Computer Vision - ECCV 2022, 2022

Coupled Iterative Refinement for 6D Multi-Object Pose Estimation.

Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement.

Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Symbolic Rules for Reasoning in Quasi-Natural Language.

Kaiyu Yang, Jia Deng

CoRR, 2021

DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras.

Zachary Teed, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract).

Zachary Teed, Jia Deng

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline.

Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng

Proceedings of the 38th International Conference on Machine Learning, 2021

Tangent Space Backpropagation for 3D Transformation Groups.

Zachary Teed, Jia Deng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

RAFT-3D: Scene Flow Using Rigid-Motion Embeddings.

Zachary Teed, Jia Deng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dynamically Grown Generative Adversarial Networks.

Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control.

Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching.

Lahav Lipson, Zachary Teed, Jia Deng

Proceedings of the International Conference on 3D Vision, 2021

2020

CornerNet: Detecting Objects as Paired Keypoints.

Hei Law, Jia Deng

Int. J. Comput. Vis., 2020

Rearrangement: A Challenge for Embodied AI.

Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su

CoRR, 2020

Learning Video Representations from Textual Web Supervision.

Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid

CoRR, 2020

D3D: Distilled 3D Networks for Video Action Recognition.

Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Strongly Incremental Constituency Parsing with Graph Neural Networks.

Kaiyu Yang, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Prove Theorems by Learning to Generate Theorems.

Mingzhe Wang, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D.

Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

LifeQA: A Real-life Dataset for Video Question Answering.

Santiago Castro, Mahmoud Azab, Jonathan C. Stroud, Cristina Noujaim, Ruoyao Wang, Jia Deng, Rada Mihalcea

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

PackIt: A Virtual Environment for Geometric Planning.

Ankit Goyal, Jia Deng

Proceedings of the 37th International Conference on Machine Learning, 2020

DeepV2D: Video to Depth with Differentiable Structure from Motion.

Zachary Teed, Jia Deng

Proceedings of the 8th International Conference on Learning Representations, 2020

Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy.

Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky

Proceedings of the FAT* '20: Conference on Fairness, 2020

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow.

Zachary Teed, Jia Deng

Proceedings of the Computer Vision - ECCV 2020, 2020

A Unified Framework of Surrogate Loss by Refactoring and Interpolation.

Lanlan Liu, Mingzhe Wang, Jia Deng

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Generate 3D Training Data Through Hybrid Gradient.

Dawei Yang, Jia Deng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

How Useful Is Self-Supervised Pretraining for Visual Tasks?

Alejandro Newell, Jia Deng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

OASIS: A Large-Scale Dataset for Single Image 3D in the Wild.

Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CornerNet-Lite: Efficient Keypoint based Object Detection.

Hei Law, Yun Teng, Olga Russakovsky, Jia Deng

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Compositional Temporal Visual Grounding of Natural Language Event Descriptions.

Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea, Jia Deng, Olga Russakovsky

CoRR, 2019

Feature Partitioning for Efficient Multi-Task Architectures.

Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng

CoRR, 2019

To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments.

Noriyuki Kojima, Jia Deng

CoRR, 2019

Learning to Generate Synthetic 3D Training Data through Hybrid Gradient.

Dawei Yang, Jia Deng

CoRR, 2019

Building a Flexible Knowledge Graph to Capture Real-World Events.

Laura Burdick, Oana Ignat, Yiming Zhang, Rada Mihalcea, Mingzhe Wang, Steve Wilson, Yumou Wei, Jia Deng

Proceedings of the 2019 Text Analysis Conference, 2019

Learning to Prove Theorems via Interacting with Proof Assistants.

Kaiyu Yang, Jia Deng

Proceedings of the 36th International Conference on Machine Learning, 2019

SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition.

Kaiyu Yang, Olga Russakovsky, Jia Deng

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Generative Modeling for Small-Data Object Detection.

Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

MeshAdv: Adversarial Meshes for Visual Recognition.

Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Single-Image Depth From Videos Using Quality Assessment Networks.

Weifeng Chen, Shengyi Qian, Jia Deng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Representing Movie Characters in Dialogues.

Mahmoud Azab, Noriyuki Kojima, Jia Deng, Rada Mihalcea

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Identifying Visible Actions in Lifestyle Vlogs.

Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Realistic Adversarial Examples in 3D Meshes.

Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu

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, Lingjia Tang, Jason Mars

CoRR, 2018

Learning Single-Image Depth from Videos using Quality Assessment Networks.

Weifeng Chen, Jia Deng

CoRR, 2018

Learning to Detect Human-Object Interactions.

Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, Jia Deng

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Entity and Event Extraction from Scratch Using Minimal Training Data.

Laura Wendlandt, Steve Wilson, Oana Ignat, Charles Welch, Li Zhang, Mingzhe Wang, Jia Deng, Rada Mihalcea

Proceedings of the 2018 Text Analysis Conference, 2018

Speaker Naming in Movies.

Mahmoud Azab, Mingzhe Wang, Max Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Shape From Shading Through Shape Evolution.

Dawei Yang, Jia Deng

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Decorrelated Batch Normalization.

Lei Huang, Dawei Yang, Bo Lang, Jia Deng

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Rethinking the Faster R-CNN Architecture for Temporal Action Localization.

Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Think Visually: Question Answering through Virtual Imagery.

Ankit Goyal, Jian Wang, Jia Deng

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution.

Lanlan Liu, Jia Deng

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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, Erez Lieberman Aiden, Li Fei-Fei

Proc. Natl. Acad. Sci. USA, 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, Erez Aiden Lieberman, Li Fei-Fei

CoRR, 2017

Premise Selection for Theorem Proving by Deep Graph Embedding.

Mingzhe Wang, Yihe Tang, Jian Wang, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Associative Embedding: End-to-End Learning for Joint Detection and Grouping.

Alejandro Newell, Zhiao Huang, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Pixels to Graphs by Associative Embedding.

Alejandro Newell, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Surgeon Technical Skill Assessment using Computer Vision based Analysis.

Hei Law, Khurshid Ghani, Jia Deng

Proceedings of the Machine Learning for Health Care Conference, 2017

Surface Normals in the Wild.

Weifeng Chen, Donglai Xiang, Jia Deng

Proceedings of the IEEE International Conference on Computer Vision, 2017

Temporal Action Localization by Structured Maximal Sums.

Ze-Huan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Forecasting Human Dynamics from Static Images.

Yu-Wei Chao, Jimei Yang, Brian L. Price, Scott Cohen, Jia Deng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Scalable Annotation of Fine-Grained Categories Without Experts.

Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Fine-Grained Car Detection for Visual Census Estimation.

Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition.

Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Associative Embedding: End-to-End Learning for Joint Detection and Grouping.

Alejandro Newell, Jia Deng

CoRR, 2016

Learning to name objects.

Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg

Commun. ACM, 2016

Single-Image Depth Perception in the Wild.

Weifeng Chen, Zhao Fu, Dawei Yang, Jia Deng

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Matching for Phrase Localization.

Mingzhe Wang, Mahmoud Azab, Noriyuki Kojima, Rada Mihalcea, Jia Deng

Proceedings of the Computer Vision - ECCV 2016, 2016

Stacked Hourglass Networks for Human Pose Estimation.

Alejandro Newell, Kaiyu Yang, Jia Deng

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

ImageNet Large Scale Visual Recognition Challenge.

Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei

Int. J. Comput. Vis., 2015

Predicting Entry-Level Categories.

Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg

Int. J. Comput. Vis., 2015

Probabilistic Label Relation Graphs with Ising Models.

Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

HICO: A Benchmark for Recognizing Human-Object Interactions in Images.

Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, Jia Deng

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning semantic relationships for better action retrieval in images.

Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Mining semantic affordances of visual object categories.

Yu-Wei Chao, Zhan Wang, Rada Mihalcea, Jia Deng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Learning Features and Parts for Fine-Grained Recognition.

Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Large-Scale Object Classification Using Label Relation Graphs.

Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam

Proceedings of the Computer Vision - ECCV 2014, 2014

Scalable multi-label annotation.

Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013

3D Object Representations for Fine-Grained Categorization.

Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going?

Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2013

From Large Scale Image Categorization to Entry-Level Categories.

Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg

Proceedings of the IEEE International Conference on Computer Vision, 2013

Fine-Grained Crowdsourcing for Fine-Grained Recognition.

Jia Deng, Jonathan Krause, Li Fei-Fei

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Crowdsourcing Annotations for Visual Object Detection.

Hao Su, Jia Deng, Li Fei-Fei

Proceedings of the 4th Human Computation Workshop, 2012

Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition.

Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition.

Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Hierarchical semantic indexing for large scale image retrieval.

Jia Deng, Alexander C. Berg, Li Fei-Fei

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

What Does Classifying More Than 10, 000 Image Categories Tell Us?

Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2010, 2010

2009

ImageNet: A large-scale hierarchical image database.

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Towards Scalable Dataset Construction: An Active Learning Approach.

Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei

Proceedings of the Computer Vision, 2008