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2020 – today
- 2024
- [j11]Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang
:
Context Autoencoder for Self-supervised Representation Learning. Int. J. Comput. Vis. 132(1): 208-223 (2024) - [c42]Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo:
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. ICLR 2024 - [c41]Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Wei Zhan, Masayoshi Tomizuka, Mingyu Ding:
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling. ICLR 2024 - [c40]Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding:
VDT: General-purpose Video Diffusion Transformers via Mask Modeling. ICLR 2024 - [c39]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i55]Tong Zhao, Mingyu Ding, Wei Zhan, Masayoshi Tomizuka, Yintao Wei:
Depth-aware Volume Attention for Texture-less Stereo Matching. CoRR abs/2402.08931 (2024) - [i54]Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo:
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. CoRR abs/2402.14623 (2024) - [i53]Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo:
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. CoRR abs/2402.16117 (2024) - [i52]Dingkun Guo, Yuqi Xiang, Shuqi Zhao, Xinghao Zhu, Masayoshi Tomizuka, Mingyu Ding, Wei Zhan:
PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models. CoRR abs/2402.16836 (2024) - [i51]Yuanfei Lin, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Matthias Althoff:
DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models. CoRR abs/2403.07470 (2024) - [i50]Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan:
Q-SLAM: Quadric Representations for Monocular SLAM. CoRR abs/2403.08125 (2024) - [i49]Tong Zhao, Lei Yang, Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Yintao Wei:
RoadBEV: Road Surface Reconstruction in Bird's Eye View. CoRR abs/2404.06605 (2024) - [i48]Yixiao Wang, Yifei Zhang, Mingxiao Huo, Ran Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka:
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning. CoRR abs/2407.01531 (2024) - [i47]Yiheng Li, Chongjian Ge, Chenran Li, Chenfeng Xu, Masayoshi Tomizuka, Chen Tang, Mingyu Ding, Wei Zhan:
WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning. CoRR abs/2407.04281 (2024) - 2023
- [j10]Haoyu Lu
, Yuqi Huo, Mingyu Ding, Nanyi Fei, Zhiwu Lu
:
Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval. Mach. Intell. Res. 20(4): 569-582 (2023) - [j9]Chao Xia
, Chenfeng Xu
, Patrick Rim
, Mingyu Ding
, Nanning Zheng
, Kurt Keutzer
, Masayoshi Tomizuka
, Wei Zhan
:
Quadric Representations for LiDAR Odometry, Mapping and Localization. IEEE Robotics Autom. Lett. 8(8): 5023-5030 (2023) - [j8]Jiankai Sun
, Yan Xu
, Mingyu Ding
, Hongwei Yi, Chen Wang
, Jingdong Wang, Liangjun Zhang
, Mac Schwager
:
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. IEEE Robotics Autom. Lett. 8(8): 5244-5250 (2023) - [j7]Jie Zhu, Jiyang Qi, Mingyu Ding, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang:
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c38]Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan:
EC2: Emergent Communication for Embodied Control. CVPR 2023: 6704-6714 - [c37]Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan:
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. CVPR 2023: 11828-11837 - [c36]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CVPR 2023: 14528-14539 - [c35]Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan:
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions. ICCV 2023: 2827-2838 - [c34]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. ICLR 2023 - [c33]Zhixuan Liang
, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo:
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. ICML 2023: 20725-20745 - [c32]Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo:
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought. NeurIPS 2023 - [c31]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. NeurIPS 2023 - [c30]Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan:
Towards Free Data Selection with General-Purpose Models. NeurIPS 2023 - [c29]Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao:
Doubly-Robust Self-Training. NeurIPS 2023 - [i46]Jie Zhu, Jiyang Qi, Mingyu Ding, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang:
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning. CoRR abs/2301.11915 (2023) - [i45]Zhixuan Liang
, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo:
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. CoRR abs/2302.01877 (2023) - [i44]Haoyu Lu, Mingyu Ding, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Masayoshi Tomizuka, Wei Zhan:
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling. CoRR abs/2302.06605 (2023) - [i43]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. CoRR abs/2303.05510 (2023) - [i42]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CoRR abs/2304.03282 (2023) - [i41]Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. CoRR abs/2304.03767 (2023) - [i40]Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan:
EC^2: Emergent Communication for Embodied Control. CoRR abs/2304.09448 (2023) - [i39]Chao Xia, Chenfeng Xu, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
Quadric Representations for LiDAR Odometry, Mapping and Localization. CoRR abs/2304.14190 (2023) - [i38]Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding:
VDT: An Empirical Study on Video Diffusion with Transformers. CoRR abs/2305.13311 (2023) - [i37]Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo:
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought. CoRR abs/2305.15021 (2023) - [i36]Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao:
Doubly Robust Self-Training. CoRR abs/2306.00265 (2023) - [i35]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. CoRR abs/2306.15668 (2023) - [i34]Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Masayoshi Tomizuka, Erik G. Learned-Miller, Chuang Gan:
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training. CoRR abs/2306.17165 (2023) - [i33]Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan:
Pre-training on Synthetic Driving Data for Trajectory Prediction. CoRR abs/2309.10121 (2023) - [i32]Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan:
Towards Free Data Selection with General-Purpose Models. CoRR abs/2309.17342 (2023) - [i31]Tong Zhao, Chenfeng Xu, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Yintao Wei:
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving. CoRR abs/2310.02262 (2023) - [i30]Haoyu Zhou, Mingyu Ding, Weikun Peng, Masayoshi Tomizuka, Lin Shao, Chuang Gan:
Generalizable Long-Horizon Manipulations with Large Language Models. CoRR abs/2310.02264 (2023) - [i29]Mingxiao Huo, Mingyu Ding, Chenfeng Xu, Thomas Tian, Xinghao Zhu, Yao Mu, Lingfeng Sun, Masayoshi Tomizuka, Wei Zhan:
Human-oriented Representation Learning for Robotic Manipulation. CoRR abs/2310.03023 (2023) - [i28]Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding:
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving. CoRR abs/2310.03026 (2023) - [i27]Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan:
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions. CoRR abs/2310.07056 (2023) - [i26]Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo:
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. CoRR abs/2310.08582 (2023) - [i25]Yi Chen, Yuying Ge, Yixiao Ge, Mingyu Ding, Bohao Li, Rui Wang, Ruifeng Xu, Ying Shan, Xihui Liu:
EgoPlan-Bench: Benchmarking Egocentric Embodied Planning with Multimodal Large Language Models. CoRR abs/2312.06722 (2023) - [i24]Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding, Zhengyuan Yang, Feng Li, Hao Zhang, Shilong Liu, Arul Aravinthan, Yong Jae Lee, Lijuan Wang:
Interfacing Foundation Models' Embeddings. CoRR abs/2312.07532 (2023) - [i23]Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - [i22]Zhixuan Liang
, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo:
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution. CoRR abs/2312.11598 (2023) - 2022
- [j6]Enze Xie
, Wenhai Wang
, Mingyu Ding
, Ruimao Zhang
, Ping Luo
:
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5385-5400 (2022) - [c28]Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. CoRL 2022: 1743-1754 - [c27]Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan:
DaViT: Dual Attention Vision Transformers. ECCV (24) 2022: 74-92 - [c26]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. ICLR 2022 - [c25]Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo:
Learning Versatile Neural Architectures by Propagating Network Codes. ICLR 2022 - [c24]Yao Mark Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo:
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. ICML 2022: 16043-16061 - [c23]Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu:
LGDN: Language-Guided Denoising Network for Video-Language Modeling. NeurIPS 2022 - [i21]Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang:
Context Autoencoder for Self-Supervised Representation Learning. CoRR abs/2202.03026 (2022) - [i20]Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan:
DaViT: Dual Attention Vision Transformers. CoRR abs/2204.03645 (2022) - [i19]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2205.01089 (2022) - [i18]Yao Mark Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo:
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. CoRR abs/2206.08883 (2022) - [i17]Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He
, Ji-Rong Wen:
Multimodal foundation models are better simulators of the human brain. CoRR abs/2208.08263 (2022) - [i16]Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu:
LGDN: Language-Guided Denoising Network for Video-Language Modeling. CoRR abs/2209.11388 (2022) - [i15]Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Jingdong Wang, Liangjun Zhang, Mac Schwager:
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. CoRR abs/2209.12068 (2022) - [i14]Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan:
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. CoRR abs/2212.08066 (2022) - 2021
- [j5]Eiman Al-Enezi, Alexandre Vakurov
, Amy Eades, Mingyu Ding, Gin Jose
, Sikha Saha, Paul Millner:
Affimer-Based Europium Chelates Allow Sensitive Optical Biosensing in a Range of Human Disease Biomarkers. Sensors 21(3): 831 (2021) - [c22]Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang:
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry. AAAI 2021: 2260-2268 - [c21]Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu, Tao Xiang:
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing. CVPR 2021: 2951-2960 - [c20]Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo:
HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers. CVPR 2021: 2982-2992 - [c19]Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang:
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. ICLR 2021 - [c18]Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang:
Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. IJCAI 2021: 751-757 - [c17]Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan:
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. NeurIPS 2021: 887-899 - [c16]Yuqi Huo, Mingyu Ding, Haoyu Lu, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen, Ping Luo:
Compressed Video Contrastive Learning. NeurIPS 2021: 14176-14187 - [c15]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen:
Domain-Adaptive Few-Shot Learning. WACV 2021: 1389-1398 - [i13]Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo:
Learning Versatile Neural Architectures by Propagating Network Codes. CoRR abs/2103.13253 (2021) - [i12]Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo:
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond. CoRR abs/2105.02184 (2021) - [i11]Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo:
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers. CoRR abs/2106.06560 (2021) - [i10]Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. CoRR abs/2110.15358 (2021) - 2020
- [c14]Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo:
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. AAAI 2020: 10713-10720 - [c13]Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu
, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CVPR Workshops 2020: 4306-4315 - [c12]Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu
, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CVPR 2020: 11669-11678 - [c11]Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu
, Tao Xiang, Ji-Rong Wen:
Lightweight Action Recognition in Compressed Videos. ECCV Workshops (2) 2020: 337-352 - [c10]Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang
, Yisong Chen, Guoping Wang, Yu-Wing Tai
:
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking. ECCV (4) 2020: 674-689 - [c9]Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo:
Segmenting Transparent Objects in the Wild. ECCV (13) 2020: 696-711 - [c8]Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang
, Yisong Chen, Guoping Wang, Yu-Wing Tai
:
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation. ECCV (9) 2020: 766-782 - [c7]Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang:
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. ICRA 2020: 2274-2280 - [i9]Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu
, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang:
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. CoRR abs/2002.05316 (2020) - [i8]An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo:
Domain-Adaptive Few-Shot Learning. CoRR abs/2003.08626 (2020) - [i7]Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo:
Segmenting Transparent Objects in the Wild. CoRR abs/2003.13948 (2020) - [i6]Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai:
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking. CoRR abs/2007.10872 (2020)
2010 – 2019
- 2019
- [j4]Mingyu Ding, Zhe Wang, Zhiwu Lu
:
Cross-domain mapping learning for transductive zero-shot learning. Comput. Vis. Image Underst. 187 (2019) - [c6]Mingyu Ding, An Zhao, Zhiwu Lu
, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CVPR 2019: 7802-7811 - [c5]Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo:
CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization. ICCV 2019: 2871-2880 - [i5]Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo:
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. CoRR abs/1911.12739 (2019) - [i4]Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai:
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation. CoRR abs/1912.03001 (2019) - [i3]Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo:
Learning Depth-Guided Convolutions for Monocular 3D Object Detection. CoRR abs/1912.04799 (2019) - 2018
- [c4]Mingyu Ding, Yuqi Huo, Jun Hu, Zhiwu Lu:
DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis. BMVC 2018: 115 - [c3]Guangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo, Zhiwu Lu
:
InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection. ICONIP (3) 2018: 411-422 - [c2]Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu
:
Zero-Shot Learning with Superclasses. ICONIP (3) 2018: 460-472 - [c1]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. NeurIPS 2018: 1027-1038 - [i2]An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Domain-Invariant Projection Learning for Zero-Shot Recognition. CoRR abs/1810.08326 (2018) - [i1]Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. CoRR abs/1812.04429 (2018) - 2017
- [j3]Yuan Xu, Siyuan Tan, Qionglin Liang, Mingyu Ding:
One-Step Facile Synthesis of Aptamer-Modified Graphene Oxide for Highly Specific Enrichment of Human A-Thrombin in Plasma. Sensors 17(9): 1986 (2017) - 2015
- [j2]Liu Yang, Qiang Han, Shuya Cao, Feng Huang, Molin Qin, Chenghai Guo, Mingyu Ding:
Research on the Interaction of Hydrogen-Bond Acidic Polymer Sensitive Sensor Materials with Chemical Warfare Agents Simulants by Inverse Gas Chromatography. Sensors 15(6): 12884-12890 (2015) - 2014
- [j1]Liu Yang, Qiang Han, Shuya Cao, Jie Yang, Junchao Yang, Mingyu Ding:
Portable Solid Phase Micro-Extraction Coupled with Ion Mobility Spectrometry System for On-Site Analysis of Chemical Warfare Agents and Simulants in Water Samples. Sensors 14(11): 20963-20974 (2014)
Coauthor Index
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