Jia Deng - RankMe

185 papers A* 52A 4B 3Misc 1Journal 94Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Zero-Shot Depth from Defocus. CoRR Yiming Zuo, Hongyu Wen, Venkat Subramanian, Patrick Chen, Karhan Kayan, Mario Bijelic, Felix Heide, Jia Deng
2025	J	`jnl`	AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation. CoRR Meenal Parakh, Alexandre Kirchmeyer, Beining Han, Jia Deng
2025	J	`jnl`	Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations. CoRR Jack Nugent, Siyang Wu, Zeyu Ma, Beining Han, Meenal Parakh, Abhishek Joshi, Lingjie Mei, Alexander Raistrick, Xinyuan Li, Jia Deng
2025	J	`jnl`	How Should One Evaluate Monocular Depth Estimation? CoRR Siyang Wu, Jack Nugent, Willow Yang, Jia Deng
2025	J	`jnl`	InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras. CoRR Erich Liang, Roma Bhattacharjee, Sreemanti Dey, Rafael Moschopoulos, Caitlin Wang, Michel Liao, Grace Tan, Andrew Wang, Karhan Kayan, Stamatis Alexandropoulos, Jia Deng
2025	J	`jnl`	Infinigen-Sim: Procedural Generation of Articulated Simulation Assets. CoRR Abhishek Joshi, Beining Han, Jack Nugent, Yiming Zuo, Jonathan Liu, Hongyu Wen, Stamatis Alexandropoulos, Tao Sun, Alexander Raistrick, Gaowen Liu, Yi Shao, Jia Deng
2025	—	`conf`	Mesh Extraction for Unbounded Scenes Using Camera-Aware Octrees. 3DV Zeyu Ma, Alexander Raistrick, Lahav Lipson, Jia Deng
2025	J	`jnl`	Princeton365: A Diverse Dataset with Accurate Camera Pose. CoRR Karhan Kayan, Stamatis Alexandropoulos, Rishabh Jain, Yiming Zuo, Erich Liang, Jia Deng
2025	J	`jnl`	Procedural Dataset Generation for Zero-Shot Stereo Matching. CoRR David Yan, Alexander Raistrick, Jia Deng
2025	J	`jnl`	Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation. CoRR Hongyu Wen, Yiming Zuo, Venkat Subramanian, Patrick Chen, Jia Deng
2025	A*	`conf`	Temporally Smooth Mesh Extraction for Procedural Scenes with Long-Range Camera Trajectories using Spacetime Octrees. SIGGRAPH Asia Zeyu Ma, Adam Finkelstein, Jia Deng
2025	J	`jnl`	Temporally Smooth Mesh Extraction for Procedural Scenes with Long-Range Camera Trajectories using Spacetime Octrees. CoRR Zeyu Ma, Adam Finkelstein, Jia Deng
2025	—	`conf`	Towards Foundation Models for 3D Vision: How Close are We? 3DV Yiming Zuo, Karhan Kayan, Maggie Wang, Kevin Jeon, Jia Deng, Thomas L. Griffiths
2025	J	`jnl`	Zero-shot Sim2Real Transfer for Magnet-Based Tactile Sensor on Insertion Tasks. CoRR Beining Han, Abhishek Joshi, Jia Deng
2024	—	`conf`	Deep Patch Visual SLAM. ECCV (2) Lahav Lipson, Zachary Teed, Jia Deng
2024	J	`jnl`	Deep Patch Visual SLAM. CoRR Lahav Lipson, Zachary Teed, Jia Deng
2024	Misc	`conf`	FetchBench: A Simulation Benchmark for Robot Fetching. CoRL Beining Han, Meenal Parakh, Derek Geng, Jack A. Defay, Luyang Gan, Jia Deng
2024	J	`jnl`	FetchBench: A Simulation Benchmark for Robot Fetching. CoRR Beining Han, Meenal Parakh, Derek Geng, Jack A. Defay, Luyang Gan, Jia Deng
2024	A*	`conf`	Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. CVPR Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng
2024	J	`jnl`	Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. CoRR Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng
2024	A	`conf`	Label-Free Synthetic Pretraining of Object Detectors. WACV Hei Law, Jia Deng
2024	J	`jnl`	LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow. CoRR Hongyu Wen, Erich Liang, Jia Deng
2024	—	`conf`	LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-layer Optical Flow. ECCV (2) Hongyu Wen, Erich Liang, Jia Deng
2024	A*	`conf`	Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization. CVPR Lahav Lipson, Jia Deng
2024	J	`jnl`	Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization. CoRR Lahav Lipson, Jia Deng
2024	—	`conf`	OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations. ECCV (3) Yiming Zuo, Jia Deng
2024	J	`jnl`	OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations. CoRR Yiming Zuo, Jia Deng
2024	J	`jnl`	OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration. CoRR Yiming Zuo, Willow Yang, Zeyu Ma, Jia Deng
2024	—	`conf`	SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow. ECCV (7) Yihan Wang, Lahav Lipson, Jia Deng
2024	J	`jnl`	SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow. CoRR Yihan Wang, Lahav Lipson, Jia Deng
2024	J	`jnl`	Towards Foundation Models for 3D Vision: How Close Are We? CoRR Yiming Zuo, Karhan Kayan, Maggie Wang, Kevin Jeon, Jia Deng, Thomas L. Griffiths
2023	A*	`conf`	Deep Patch Visual Odometry. NeurIPS Zachary Teed, Lahav Lipson, Jia Deng
2023	A*	`conf`	Infinite Photorealistic Worlds Using Procedural Generation. CVPR 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
2023	J	`jnl`	Infinite Photorealistic Worlds using Procedural Generation. CoRR 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
2023	J	`jnl`	Learning Symbolic Rules for Reasoning in Quasi-Natural Language. Trans. Mach. Learn. Res. Kaiyu Yang, Jia Deng
2023	A*	`conf`	Siamese Masked Autoencoders. NeurIPS Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li
2023	J	`jnl`	Siamese Masked Autoencoders. CoRR Agrim Gupta, Jiajun Wu, Jia Deng, Li Fei-Fei
2023	A*	`conf`	View Synthesis with Sculpted Neural Points. ICLR Yiming Zuo, Jia Deng
2023	J	`jnl`	View-Dependent Octree-based Mesh Extraction in Unbounded Scenes for Procedural Synthetic Data. CoRR Zeyu Ma, Alexander Raistrick, Lahav Lipson, Jia Deng
2022	A*	`conf`	A Study of Face Obfuscation in ImageNet. ICML Kaiyu Yang, Jacqueline H. Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky
2022	A*	`conf`	Coupled Iterative Refinement for 6D Multi-Object Pose Estimation. CVPR Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng
2022	J	`jnl`	Coupled Iterative Refinement for 6D Multi-Object Pose Estimation. CoRR Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng
2022	J	`jnl`	Deep Patch Visual Odometry. CoRR Zachary Teed, Lahav Lipson, Jia Deng
2022	A*	`conf`	Generating Natural Language Proofs with Verifier-Guided Search. EMNLP Kaiyu Yang, Jia Deng, Danqi Chen
2022	J	`jnl`	Generating Natural Language Proofs with Verifier-Guided Search. CoRR Kaiyu Yang, Jia Deng, Danqi Chen
2022	A*	`conf`	IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CVPR Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
2022	J	`jnl`	IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. CoRR Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox
2022	J	`jnl`	Label-Free Synthetic Pretraining of Object Detectors. CoRR Hei Law, Jia Deng
2022	—	`conf`	Multiview Stereo with Cascaded Epipolar RAFT. ECCV (31) Zeyu Ma, Zachary Teed, Jia Deng
2022	J	`jnl`	Multiview Stereo with Cascaded Epipolar RAFT. CoRR Zeyu Ma, Zachary Teed, Jia Deng
2022	A*	`conf`	Non-deep Networks. NeurIPS Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
2022	J	`jnl`	View Synthesis with Sculpted Neural Points. CoRR Yiming Zuo, Jia Deng
2021	J	`jnl`	A Study of Face Obfuscation in ImageNet. CoRR Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, Olga Russakovsky
2021	A*	`conf`	DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras. NeurIPS Zachary Teed, Jia Deng
2021	J	`jnl`	DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras. CoRR Zachary Teed, Jia Deng
2021	A*	`conf`	Dynamically Grown Generative Adversarial Networks. AAAI Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
2021	J	`jnl`	Dynamically Grown Generative Adversarial Networks. CoRR Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
2021	J	`jnl`	Learning Symbolic Rules for Reasoning in Quasi-Natural Language. CoRR Kaiyu Yang, Jia Deng
2021	A*	`conf`	Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. AAAI Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng
2021	J	`jnl`	Non-deep Networks. CoRR Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
2021	A*	`conf`	RAFT-3D: Scene Flow Using Rigid-Motion Embeddings. CVPR Zachary Teed, Jia Deng
2021	—	`conf`	RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. 3DV Lahav Lipson, Zachary Teed, Jia Deng
2021	J	`jnl`	RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching. CoRR Lahav Lipson, Zachary Teed, Jia Deng
2021	A*	`conf`	RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract). IJCAI Zachary Teed, Jia Deng
2021	A*	`conf`	Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline. ICML Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng
2021	J	`jnl`	Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline. CoRR Ankit Goyal, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng
2021	A*	`conf`	Tangent Space Backpropagation for 3D Transformation Groups. CVPR Zachary Teed, Jia Deng
2021	J	`jnl`	Tangent Space Backpropagation for 3D Transformation Groups. CoRR Zachary Teed, Jia Deng
2020	—	`conf`	A Unified Framework of Surrogate Loss by Refactoring and Interpolation. ECCV (3) Lanlan Liu, Mingzhe Wang, Jia Deng
2020	J	`jnl`	A Unified Framework of Surrogate Loss by Refactoring and Interpolation. CoRR Lanlan Liu, Mingzhe Wang, Jia Deng
2020	A	`conf`	CornerNet-Lite: Efficient Keypoint based Object Detection. BMVC Hei Law, Yun Teng, Olga Russakovsky, Jia Deng
2020	J	`jnl`	CornerNet: Detecting Objects as Paired Keypoints. Int. J. Comput. Vis. Hei Law, Jia Deng
2020	A	`conf`	D3D: Distilled 3D Networks for Video Action Recognition. WACV Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar
2020	A*	`conf`	DeepV2D: Video to Depth with Differentiable Structure from Motion. ICLR Zachary Teed, Jia Deng
2020	A*	`conf`	How Useful Is Self-Supervised Pretraining for Visual Tasks? CVPR Alejandro Newell, Jia Deng
2020	J	`jnl`	How Useful is Self-Supervised Pretraining for Visual Tasks? CoRR Alejandro Newell, Jia Deng
2020	J	`jnl`	Learning Video Representations from Textual Web Supervision. CoRR Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid
2020	A*	`conf`	Learning to Generate 3D Training Data Through Hybrid Gradient. CVPR Dawei Yang, Jia Deng
2020	A*	`conf`	Learning to Prove Theorems by Learning to Generate Theorems. NeurIPS Mingzhe Wang, Jia Deng
2020	J	`jnl`	Learning to Prove Theorems by Learning to Generate Theorems. CoRR Mingzhe Wang, Jia Deng
2020	B	`conf`	LifeQA: A Real-life Dataset for Video Question Answering. LREC Santiago Castro, Mahmoud Azab, Jonathan C. Stroud, Cristina Noujaim, Ruoyao Wang, Jia Deng, Rada Mihalcea
2020	A*	`conf`	OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. CVPR Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng
2020	J	`jnl`	OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. CoRR Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng
2020	A*	`conf`	PackIt: A Virtual Environment for Geometric Planning. ICML Ankit Goyal, Jia Deng
2020	J	`jnl`	PackIt: A Virtual Environment for Geometric Planning. CoRR Ankit Goyal, Jia Deng
2020	J	`jnl`	RAFT-3D: Scene Flow using Rigid-Motion Embeddings. CoRR Zachary Teed, Jia Deng
2020	—	`conf`	RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. ECCV (2) Zachary Teed, Jia Deng
2020	J	`jnl`	RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. CoRR Zachary Teed, Jia Deng
2020	J	`jnl`	Rearrangement: A Challenge for Embodied AI. CoRR 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
2020	A*	`conf`	Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D. NeurIPS Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng
2020	J	`jnl`	Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D. CoRR Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng
2020	A*	`conf`	Strongly Incremental Constituency Parsing with Graph Neural Networks. NeurIPS Kaiyu Yang, Jia Deng
2020	J	`jnl`	Strongly Incremental Constituency Parsing with Graph Neural Networks. CoRR Kaiyu Yang, Jia Deng
2020	—	`conf`	Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy. FAT* Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky
2019	—	`conf`	Building a Flexible Knowledge Graph to Capture Real-World Events. TAC Laura Burdick, Oana Ignat, Yiming Zhang, Rada Mihalcea, Mingzhe Wang, Steve Wilson, Yumou Wei, Jia Deng
2019	J	`jnl`	Compositional Temporal Visual Grounding of Natural Language Event Descriptions. CoRR Jonathan C. Stroud, Ryan McCaffrey, Rada Mihalcea, Jia Deng, Olga Russakovsky
2019	J	`jnl`	CornerNet-Lite: Efficient Keypoint Based Object Detection. CoRR Hei Law, Yun Teng, Olga Russakovsky, Jia Deng
2019	J	`jnl`	Feature Partitioning for Efficient Multi-Task Architectures. CoRR Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng
2019	A*	`conf`	Generative Modeling for Small-Data Object Detection. ICCV Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
2019	J	`jnl`	Generative Modeling for Small-Data Object Detection. CoRR Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
2019	—	`conf`	Identifying Visible Actions in Lifestyle Vlogs. ACL (1) Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea
2019	J	`jnl`	Identifying Visible Actions in Lifestyle Vlogs. CoRR Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea
2019	A*	`conf`	Learning Single-Image Depth From Videos Using Quality Assessment Networks. CVPR Weifeng Chen, Shengyi Qian, Jia Deng
2019	J	`jnl`	Learning to Generate Synthetic 3D Training Data through Hybrid Gradient. CoRR Dawei Yang, Jia Deng
2019	A*	`conf`	Learning to Prove Theorems via Interacting with Proof Assistants. ICML Kaiyu Yang, Jia Deng
2019	J	`jnl`	Learning to Prove Theorems via Interacting with Proof Assistants. CoRR Kaiyu Yang, Jia Deng
2019	J	`jnl`	Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. CoRR Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng
2019	A*	`conf`	MeshAdv: Adversarial Meshes for Visual Recognition. CVPR Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu
2019	B	`conf`	Representing Movie Characters in Dialogues. CoNLL Mahmoud Azab, Noriyuki Kojima, Jia Deng, Rada Mihalcea
2019	A*	`conf`	SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. ICCV Kaiyu Yang, Olga Russakovsky, Jia Deng
2019	J	`jnl`	SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition. CoRR Kaiyu Yang, Olga Russakovsky, Jia Deng
2019	J	`jnl`	To Learn or Not to Learn: Analyzing the Role of Learning for Navigation in Virtual Environments. CoRR Noriyuki Kojima, Jia Deng
2019	J	`jnl`	Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy. CoRR Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky
2018	—	`conf`	CornerNet: Detecting Objects as Paired Keypoints. ECCV (14) Hei Law, Jia Deng
2018	J	`jnl`	CornerNet: Detecting Objects as Paired Keypoints. CoRR Hei Law, Jia Deng
2018	J	`jnl`	D3D: Distilled 3D Networks for Video Action Recognition. CoRR Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar
2018	A*	`conf`	Decorrelated Batch Normalization. CVPR Lei Huang, Dawei Yang, Bo Lang, Jia Deng
2018	J	`jnl`	Decorrelated Batch Normalization. CoRR Lei Huang, Dawei Yang, Bo Lang, Jia Deng
2018	J	`jnl`	DeepV2D: Video to Depth with Differentiable Structure from Motion. CoRR Zachary Teed, Jia Deng
2018	A*	`conf`	Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution. AAAI Lanlan Liu, Jia Deng
2018	—	`conf`	Entity and Event Extraction from Scratch Using Minimal Training Data. TAC Laura Wendlandt, Steven R. Wilson, Oana Ignat, Charles Welch, Li Zhang, Mingzhe Wang, Jia Deng, Rada Mihalcea
2018	J	`jnl`	Learning Single-Image Depth from Videos using Quality Assessment Networks. CoRR Weifeng Chen, Jia Deng
2018	A	`conf`	Learning to Detect Human-Object Interactions. WACV Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, Jia Deng
2018	J	`jnl`	Realistic Adversarial Examples in 3D Meshes. CoRR Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu
2018	J	`jnl`	Rethinking Numerical Representations for Deep Neural Networks. CoRR 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
2018	A*	`conf`	Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CVPR Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar
2018	J	`jnl`	Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CoRR Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar
2018	A*	`conf`	Shape From Shading Through Shape Evolution. CVPR Dawei Yang, Jia Deng
2018	—	`conf`	Speaker Naming in Movies. NAACL-HLT Mahmoud Azab, Mingzhe Wang, Max Olan Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea
2018	J	`jnl`	Speaker Naming in Movies. CoRR Mahmoud Azab, Mingzhe Wang, Max Olan Smith, Noriyuki Kojima, Jia Deng, Rada Mihalcea
2018	—	`conf`	Think Visually: Question Answering through Virtual Imagery. ACL (1) Ankit Goyal, Jian Wang, Jia Deng
2018	J	`jnl`	Think Visually: Question Answering through Virtual Imagery. CoRR Ankit Goyal, Jian Wang, Jia Deng
2017	—	`conf`	Associative Embedding: End-to-End Learning for Joint Detection and Grouping. NIPS Alejandro Newell, Zhiao Huang, Jia Deng
2017	J	`jnl`	Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution. CoRR Lanlan Liu, Jia Deng
2017	A*	`conf`	Fine-Grained Car Detection for Visual Census Estimation. AAAI Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
2017	J	`jnl`	Fine-Grained Car Detection for Visual Census Estimation. CoRR Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei
2017	A*	`conf`	Forecasting Human Dynamics from Static Images. CVPR Yu-Wei Chao, Jimei Yang, Brian L. Price, Scott Cohen, Jia Deng
2017	J	`jnl`	Forecasting Human Dynamics from Static Images. CoRR Yu-Wei Chao, Jimei Yang, Brian L. Price, Scott Cohen, Jia Deng
2017	J	`jnl`	Learning to Detect Human-Object Interactions. CoRR Yu-Wei Chao, Yunfan Liu, Xieyang Liu, Huayi Zeng, Jia Deng
2017	—	`conf`	Pixels to Graphs by Associative Embedding. NIPS Alejandro Newell, Jia Deng
2017	J	`jnl`	Pixels to Graphs by Associative Embedding. CoRR Alejandro Newell, Jia Deng
2017	—	`conf`	Premise Selection for Theorem Proving by Deep Graph Embedding. NIPS Mingzhe Wang, Yihe Tang, Jian Wang, Jia Deng
2017	J	`jnl`	Premise Selection for Theorem Proving by Deep Graph Embedding. CoRR Mingzhe Wang, Yihe Tang, Jian Wang, Jia Deng
2017	A*	`conf`	Scalable Annotation of Fine-Grained Categories Without Experts. CHI Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
2017	J	`jnl`	Scalable Annotation of Fine-Grained Categories Without Experts. CoRR Timnit Gebru, Jonathan Krause, Jia Deng, Li Fei-Fei
2017	J	`jnl`	Shape from Shading through Shape Evolution. CoRR Dawei Yang, Jia Deng
2017	A*	`conf`	Surface Normals in the Wild. ICCV Weifeng Chen, Donglai Xiang, Jia Deng
2017	J	`jnl`	Surface Normals in the Wild. CoRR Weifeng Chen, Donglai Xiang, Jia Deng
2017	—	`conf`	Surgeon Technical Skill Assessment using Computer Vision based Analysis. MLHC Hei Law, Khurshid Ghani, Jia Deng
2017	A*	`conf`	Temporal Action Localization by Structured Maximal Sums. CVPR Ze-Huan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng
2017	J	`jnl`	Temporal Action Localization by Structured Maximal Sums. CoRR Ze-Huan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng
2017	J	`jnl`	Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US. CoRR Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Aiden Lieberman, Li Fei-Fei
2017	J	`jnl`	Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States. Proc. Natl. Acad. Sci. USA Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Erez Lieberman Aiden, Li Fei-Fei
2016	J	`jnl`	Associative Embedding: End-to-End Learning for Joint Detection and Grouping. CoRR Alejandro Newell, Jia Deng
2016	J	`jnl`	Learning to name objects. Commun. ACM Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
2016	J	`jnl`	Leveraging the Wisdom of the Crowd for Fine-Grained Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei
2016	—	`conf`	Single-Image Depth Perception in the Wild. NIPS Weifeng Chen, Zhao Fu, Dawei Yang, Jia Deng
2016	J	`jnl`	Single-Image Depth Perception in the Wild. CoRR Weifeng Chen, Zhao Fu, Dawei Yang, Jia Deng
2016	—	`conf`	Stacked Hourglass Networks for Human Pose Estimation. ECCV (8) Alejandro Newell, Kaiyu Yang, Jia Deng
2016	J	`jnl`	Stacked Hourglass Networks for Human Pose Estimation. CoRR Alejandro Newell, Kaiyu Yang, Jia Deng
2016	—	`conf`	Structured Matching for Phrase Localization. ECCV (8) Mingzhe Wang, Mahmoud Azab, Noriyuki Kojima, Rada Mihalcea, Jia Deng
2015	A*	`conf`	HICO: A Benchmark for Recognizing Human-Object Interactions in Images. ICCV Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, Jia Deng
2015	J	`jnl`	ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 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
2015	A*	`conf`	Learning semantic relationships for better action retrieval in images. CVPR Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei
2015	A*	`conf`	Mining semantic affordances of visual object categories. CVPR Yu-Wei Chao, Zhan Wang, Rada Mihalcea, Jia Deng
2015	J	`jnl`	Predicting Entry-Level Categories. Int. J. Comput. Vis. Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
2015	A*	`conf`	Probabilistic Label Relation Graphs with Ising Models. ICCV Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven
2015	J	`jnl`	Probabilistic Label Relation Graphs with Ising Models. CoRR Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven
2014	J	`jnl`	ImageNet Large Scale Visual Recognition Challenge. CoRR 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
2014	—	`conf`	Large-Scale Object Classification Using Label Relation Graphs. ECCV (1) Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam
2014	B	`conf`	Learning Features and Parts for Fine-Grained Recognition. ICPR Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei
2014	A*	`conf`	Scalable multi-label annotation. CHI Jia Deng, Olga Russakovsky, Jonathan Krause, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei
2013	—	`conf`	3D Object Representations for Fine-Grained Categorization. ICCV Workshops Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
2013	A*	`conf`	Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? ICCV Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei
2013	A*	`conf`	Fine-Grained Crowdsourcing for Fine-Grained Recognition. CVPR Jia Deng, Jonathan Krause, Li Fei-Fei
2013	A*	`conf`	From Large Scale Image Categorization to Entry-Level Categories. ICCV Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg
2012	—	`conf`	Crowdsourcing Annotations for Visual Object Detection. HCOMP@AAAI Hao Su, Jia Deng, Li Fei-Fei
2012	A*	`conf`	Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition. CVPR Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei
2012	—	`—`	Large Scale Visual Recognition Jia Deng
2011	—	`conf`	Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition. NIPS Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Li Fei-Fei
2011	A*	`conf`	Hierarchical semantic indexing for large scale image retrieval. CVPR Jia Deng, Alexander C. Berg, Li Fei-Fei
2010	—	`conf`	What Does Classifying More Than 10, 000 Image Categories Tell Us? ECCV (5) Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei
2009	A*	`conf`	ImageNet: A large-scale hierarchical image database. CVPR Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei
2008	—	`conf`	Towards Scalable Dataset Construction: An Active Learning Approach. ECCV (1) Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei
2007	J	`jnl`	Digital bas-relief from 3D scenes. ACM Trans. Graph. Tim Weyrich, Jia Deng, Connelly Barnes, Szymon Rusinkiewicz, Adam Finkelstein