Deng, Jia

76 publications

ICLR 2025 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

NeurIPS 2025 Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations John Nugent, Siyang Wu, Zeyu Ma, Beining Han, Meenal Parakh, Abhishek Joshi, Lingjie Mei, Alexander Raistrick, Xinyuan Li, Jia Deng

NeurIPS 2025 InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras Erich Liang, Roma Bhattacharjee, Sreemanti Dey, Rafael Moschopoulos, Caitlin Wang, Michel Liao, Grace Tan, Andrew Wang, Karhan Kayan, Stamatis Alexandropoulos, Jia Deng

ICLR 2025 Neuron Based Personality Trait Induction in Large Language Models Jia Deng, Tianyi Tang, Yanbin Yin, Wenhao Yang, Xin Zhao, Ji-Rong Wen

ICCV 2025 OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Yiming Zuo, Willow Yang, Zeyu Ma, Jia Deng

ICCV 2025 Princeton365: A Diverse Dataset with Accurate Camera Pose Karhan Kayan, Stamatis Alexandropoulos, Rishabh Jain, Yiming Zuo, Erich Liang, Jia Deng

ICCV 2025 Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation Hongyu Wen, Yiming Zuo, Venkat Subramanian, Patrick Chen, Jia Deng

NeurIPS 2025 VLMs Have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs Shmuel Berman, Jia Deng

ICMLW 2024 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

ECCV 2024 Deep Patch Visual SLAM Lahav Lipson, Zachary Teed, Jia Deng

CoRL 2024 FetchBench: A Simulation Benchmark for Robot Fetching Beining Han, Meenal Parakh, Derek Geng, Jack A Defay, Gan Luyang, Jia Deng

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

WACV 2024 Label-Free Synthetic Pretraining of Object Detectors Hei Law, Jia Deng

ECCV 2024 LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow Hongyu Wen, Erich Liang, Jia Deng

ICLR 2024 Llemma: An Open Language Model for Mathematics Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen Marcus McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck

CVPR 2024 Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization Lahav Lipson, Jia Deng

ECCV 2024 OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations Yiming Zuo, Jia Deng

ECCV 2024 SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow Yihan Wang, Lahav O Lipson, Jia Deng

ICCV 2023 Convolutional Networks with Oriented 1d Kernels Alexandre Kirchmeyer, Jia Deng

NeurIPS 2023 Deep Patch Visual Odometry Zachary Teed, Lahav Lipson, Jia Deng

CVPR 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

TMLR 2023 Learning Symbolic Rules for Reasoning in Quasi-Natural Language Kaiyu Yang, Jia Deng

NeurIPSW 2023 Llemma: An Open Language Model for Mathematics Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Jiang, Jia Deng, Stella Biderman, Sean Welleck

NeurIPS 2023 Siamese Masked Autoencoders Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li

ICLR 2023 View Synthesis with Sculpted Neural Points Yiming Zuo, Jia Deng

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

CVPR 2022 Coupled Iterative Refinement for 6d Multi-Object Pose Estimation Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng

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

ECCV 2022 Multiview Stereo with Cascaded Epipolar RAFT Zeyu Ma, Zachary Teed, Jia Deng

NeurIPS 2022 Non-Deep Networks Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun

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

AAAI 2021 Dynamically Grown Generative Adversarial Networks Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto

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

CVPR 2021 RAFT-3D: Scene Flow Using Rigid-Motion Embeddings Zachary Teed, Jia Deng

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

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

CVPR 2021 Tangent Space Backpropagation for 3D Transformation Groups Zachary Teed, Jia Deng

ECCV 2020 A Unified Framework of Surrogate Loss by Refactoring and Interpolation Lanlan Liu, Mingzhe Wang, Jia Deng

WACV 2020 D3D: Distilled 3D Networks for Video Action Recognition Jonathan Stroud, David Ross, Chen Sun, Jia Deng, Rahul Sukthankar

ICLR 2020 DeepV2D: Video to Depth with Differentiable Structure from Motion Zachary Teed, Jia Deng

ICLR 2020 Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng

NeurIPS 2020 Learning to Prove Theorems by Learning to Generate Theorems Mingzhe Wang, Jia Deng

ICML 2020 PackIt: A Virtual Environment for Geometric Planning Ankit Goyal, Jia Deng

ECCV 2020 RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed, Jia Deng

NeurIPS 2020 Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D Ankit Goyal, Kaiyu Yang, Dawei Yang, Jia Deng

NeurIPS 2020 Strongly Incremental Constituency Parsing with Graph Neural Networks Kaiyu Yang, Jia Deng

ICML 2019 Learning to Prove Theorems via Interacting with Proof Assistants Kaiyu Yang, Jia Deng

ECCV 2018 CornerNet: Detecting Objects as Paired Keypoints Hei Law, Jia Deng

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

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

NeurIPS 2017 Associative Embedding: End-to-End Learning for Joint Detection and Grouping Alejandro Newell, Zhiao Huang, Jia Deng

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

CVPR 2017 Forecasting Human Dynamics from Static Images Yu-Wei Chao, Jimei Yang, Brian Price, Scott Cohen, Jia Deng

NeurIPS 2017 Pixels to Graphs by Associative Embedding Alejandro Newell, Jia Deng

NeurIPS 2017 Premise Selection for Theorem Proving by Deep Graph Embedding Mingzhe Wang, Yihe Tang, Jian Wang, Jia Deng

ICCV 2017 Surface Normals in the Wild Weifeng Chen, Donglai Xiang, Jia Deng

MLHC 2017 Surgeon Technical Skill Assessment Using Computer Vision Based Analysis Hei Law, Khurshid Ghani, Jia Deng

CVPR 2017 Temporal Action Localization by Structured Maximal Sums Zehuan Yuan, Jonathan C. Stroud, Tong Lu, Jia Deng

NeurIPS 2016 Single-Image Depth Perception in the Wild Weifeng Chen, Zhao Fu, Dawei Yang, Jia Deng

ECCV 2016 Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell, Kaiyu Yang, Jia Deng

ECCV 2016 Structured Matching for Phrase Localization Mingzhe Wang, Mahmoud Azab, Noriyuki Kojima, Rada Mihalcea, Jia Deng

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

CVPR 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, Charles Rosenberg, Li Fei-Fei

CVPR 2015 Mining Semantic Affordances of Visual Object Categories Yu-Wei Chao, Zhan Wang, Rada Mihalcea, Jia Deng

ICCV 2015 Probabilistic Label Relation Graphs with Ising Models Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven

ECCV 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

ICCVW 2013 3D Object Representations for Fine-Grained Categorization Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei

ICCV 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

CVPR 2013 Fine-Grained Crowdsourcing for Fine-Grained Recognition Jia Deng, Jonathan Krause, Li Fei-Fei

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

CVPR 2012 Hedging Your Bets: Optimizing Accuracy-Specificity Trade-Offs in Large Scale Visual Recognition Jia Deng, Jonathan Krause, Alexander C. Berg, Li Fei-Fei

NeurIPS 2011 Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition Jia Deng, Sanjeev Satheesh, Alexander C. Berg, Fei Li

CVPR 2011 Hierarchical Semantic Indexing for Large Scale Image Retrieval Jia Deng, Alexander C. Berg, Li Fei-Fei

ECCV 2010 What Does Classifying More than 10, 000 Image Categories Tell Us? Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei

CVPR 2009 ImageNet: A Large-Scale Hierarchical Image Database Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei

ECCV 2008 Towards Scalable Dataset Construction: An Active Learning Approach Brendan Collins, Jia Deng, Kai Li, Li Fei-Fei