Jia Deng

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 135

Top Venues

Publications

Yihan Wang, Lahav Lipson, Jia Deng
SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow. CoRR (2024)
Yiming Zuo, Jia Deng
OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations. CoRR (2024)
Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng
Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. CoRR (2024)
Hei Law, Jia Deng
Label-Free Synthetic Pretraining of Object Detectors. WACV (2024)
Lahav Lipson, Jia Deng
Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization. CoRR (2024)
Beining Han, Meenal Parakh, Derek Geng, Jack A Defay, Luyang Gan, Jia Deng
FetchBench: A Simulation Benchmark for Robot Fetching. CoRR (2024)
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
Infinite Photorealistic Worlds Using Procedural Generation. CVPR (2023)
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
Infinite Photorealistic Worlds using Procedural Generation. CoRR (2023)
Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li
Siamese Masked Autoencoders. NeurIPS (2023)
Kaiyu Yang, Jia Deng
Learning Symbolic Rules for Reasoning in Quasi-Natural Language. Trans. Mach. Learn. Res. 2023 (2023)
Agrim Gupta, Jiajun Wu, Jia Deng, Li Fei-Fei
Siamese Masked Autoencoders. CoRR (2023)
Zachary Teed, Lahav Lipson, Jia Deng
Deep Patch Visual Odometry. NeurIPS (2023)
Zeyu Ma, Alexander Raistrick, Lahav Lipson, Jia Deng
View-Dependent Octree-based Mesh Extraction in Unbounded Scenes for Procedural Synthetic Data. CoRR (2023)
Yiming Zuo, Jia Deng
View Synthesis with Sculpted Neural Points. ICLR (2023)
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CVPR (2022)
Kaiyu Yang, Jia Deng, Danqi Chen
Generating Natural Language Proofs with Verifier-Guided Search. CoRR (2022)
Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky
A Study of Face Obfuscation in ImageNet. ICML (2022)
Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng
Coupled Iterative Refinement for 6D Multi-Object Pose Estimation. CoRR (2022)
Kaiyu Yang, Jia Deng, Danqi Chen
Generating Natural Language Proofs with Verifier-Guided Search. EMNLP (2022)
Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CoRR (2022)
Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
Non-deep Networks. NeurIPS (2022)
Zachary Teed, Lahav Lipson, Jia Deng
Deep Patch Visual Odometry. CoRR (2022)
Zeyu Ma, Zachary Teed, Jia Deng
Multiview Stereo with Cascaded Epipolar RAFT. ECCV (31) (2022)
Hei Law, Jia Deng
Label-Free Synthetic Pretraining of Object Detectors. CoRR (2022)
Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng
Coupled Iterative Refinement for 6D Multi-Object Pose Estimation. CVPR (2022)
Zeyu Ma, Zachary Teed, Jia Deng
Multiview Stereo with Cascaded Epipolar RAFT. CoRR (2022)
Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
Non-deep Networks. CoRR (2021)
Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline. CoRR (2021)
Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline. ICML (2021)
Zachary Teed, Jia Deng
RAFT-3D: Scene Flow Using Rigid-Motion Embeddings. CVPR (2021)
Lahav Lipson, Zachary Teed, Jia Deng
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV (2021)
Lahav Lipson, Zachary Teed, Jia Deng
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. CoRR (2021)
Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
Dynamically Grown Generative Adversarial Networks. AAAI (2021)
Zachary Teed, Jia Deng
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract). IJCAI (2021)
Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky
A Study of Face Obfuscation in ImageNet. CoRR (2021)
Zachary Teed, Jia Deng
Tangent Space Backpropagation for 3D Transformation Groups. CoRR (2021)
Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. AAAI (2021)
Zachary Teed, Jia Deng
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras. CoRR (2021)
Kaiyu Yang, Jia Deng
Learning Symbolic Rules for Reasoning in Quasi-Natural Language. CoRR (2021)
Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
Dynamically Grown Generative Adversarial Networks. CoRR (2021)
Zachary Teed, Jia Deng
Tangent Space Backpropagation for 3D Transformation Groups. CVPR (2021)
Zachary Teed, Jia Deng
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras. NeurIPS (2021)
Alejandro Newell, Jia Deng
How Useful Is Self-Supervised Pretraining for Visual Tasks? CVPR (2020)
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid
Learning Video Representations from Textual Web Supervision. CoRR (2020)
Ankit Goyal, Jia Deng
PackIt: A Virtual Environment for Geometric Planning. ICML (2020)
Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D. NeurIPS (2020)
Hei Law, Yun Teng, Olga Russakovsky, Jia Deng
CornerNet-Lite: Efficient Keypoint based Object Detection. BMVC (2020)
Mingzhe Wang, Jia Deng
Learning to Prove Theorems by Learning to Generate Theorems. NeurIPS (2020)
Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. CoRR (2020)
Ankit Goyal, Jia Deng
PackIt: A Virtual Environment for Geometric Planning. CoRR (2020)
Dawei Yang, Jia Deng
Learning to Generate 3D Training Data Through Hybrid Gradient. CVPR (2020)
Zachary Teed, Jia Deng
DeepV2D: Video to Depth with Differentiable Structure from Motion. ICLR (2020)
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar
D3D: Distilled 3D Networks for Video Action Recognition. WACV (2020)
Hei Law, Jia Deng
CornerNet: Detecting Objects as Paired Keypoints. Int. J. Comput. Vis. 128 (3) (2020)
Lanlan Liu, Mingzhe Wang, Jia Deng
A Unified Framework of Surrogate Loss by Refactoring and Interpolation. CoRR (2020)
Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. CVPR (2020)
Santiago Castro, Mahmoud Azab, Jonathan C. Stroud, Cristina Noujaim, Ruoyao Wang, Jia Deng, Rada Mihalcea
LifeQA: A Real-life Dataset for Video Question Answering. LREC (2020)
Kaiyu Yang, Jia Deng
Strongly Incremental Constituency Parsing with Graph Neural Networks. NeurIPS (2020)
Zachary Teed, Jia Deng
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. ECCV (2) (2020)
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
Rearrangement: A Challenge for Embodied AI. CoRR (2020)
Zachary Teed, Jia Deng
RAFT-3D: Scene Flow using Rigid-Motion Embeddings. CoRR (2020)
Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D. CoRR (2020)
Zachary Teed, Jia Deng
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. CoRR (2020)
Alejandro Newell, Jia Deng
How Useful is Self-Supervised Pretraining for Visual Tasks? CoRR (2020)
Kaiyu Yang, Jia Deng
Strongly Incremental Constituency Parsing with Graph Neural Networks. CoRR (2020)
Mingzhe Wang, Jia Deng
Learning to Prove Theorems by Learning to Generate Theorems. CoRR (2020)
Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky
Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy. FAT* (2020)
Lanlan Liu, Mingzhe Wang, Jia Deng
A Unified Framework of Surrogate Loss by Refactoring and Interpolation. ECCV (3) (2020)
Laura Burdick, Oana Ignat, Yiming Zhang, Rada Mihalcea, Mingzhe Wang, Steve Wilson, Yumou Wei, Jia Deng
Building a Flexible Knowledge Graph to Capture Real-World Events. TAC (2019)
Dawei Yang, Jia Deng
Learning to Generate Synthetic 3D Training Data through Hybrid Gradient. CoRR (2019)
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
Generative Modeling for Small-Data Object Detection. CoRR (2019)
Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea, Jia Deng, Olga Russakovsky
Compositional Temporal Visual Grounding of Natural Language Event Descriptions. CoRR (2019)
Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. CoRR (2019)
Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng
Feature Partitioning for Efficient Multi-Task Architectures. CoRR (2019)
Mahmoud Azab, Noriyuki Kojima, Jia Deng, Rada Mihalcea
Representing Movie Characters in Dialogues. CoNLL (2019)
Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu
MeshAdv: Adversarial Meshes for Visual Recognition. CVPR (2019)
Kaiyu Yang, Jia Deng
Learning to Prove Theorems via Interacting with Proof Assistants. CoRR (2019)
Noriyuki Kojima, Jia Deng
To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments. CoRR (2019)
Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. CoRR (2019)
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
Generative Modeling for Small-Data Object Detection. ICCV (2019)
Kaiyu Yang, Olga Russakovsky, Jia Deng
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. ICCV (2019)
Weifeng Chen, Shengyi Qian, Jia Deng
Learning Single-Image Depth From Videos Using Quality Assessment Networks. CVPR (2019)
Kaiyu Yang, Jia Deng
Learning to Prove Theorems via Interacting with Proof Assistants. ICML (2019)
Hei Law, Yun Teng, Olga Russakovsky, Jia Deng
CornerNet-Lite: Efficient Keypoint Based Object Detection. CoRR (2019)
Kaiyu Yang, Olga Russakovsky, Jia Deng
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. CoRR (2019)
Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea
Identifying Visible Actions in Lifestyle Vlogs. CoRR (2019)
Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea
Identifying Visible Actions in Lifestyle Vlogs. ACL (1) (2019)
Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, Jia Deng
Learning to Detect Human-Object Interactions. WACV (2018)
Mahmoud Azab, Mingzhe Wang, Max Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea
Speaker Naming in Movies. NAACL-HLT (2018)
Dawei Yang, Jia Deng
Shape From Shading Through Shape Evolution. CVPR (2018)
Mahmoud Azab, Mingzhe Wang, Max Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea
Speaker Naming in Movies. CoRR (2018)
Lei Huang, Dawei Yang, Bo Lang, Jia Deng
Decorrelated Batch Normalization. CoRR (2018)
Weifeng Chen, Jia Deng
Learning Single-Image Depth from Videos using Quality Assessment Networks. CoRR (2018)
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
Rethinking Numerical Representations for Deep Neural Networks. CoRR (2018)
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CVPR (2018)
Zachary Teed, Jia Deng
DeepV2D: Video to Depth with Differentiable Structure from Motion. CoRR (2018)
Ankit Goyal, Jian Wang, Jia Deng
Think Visually: Question Answering through Virtual Imagery. CoRR (2018)
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CoRR (2018)
Ankit Goyal, Jian Wang, Jia Deng
Think Visually: Question Answering through Virtual Imagery. ACL (1) (2018)
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar
D3D: Distilled 3D Networks for Video Action Recognition. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jia Deng