Mingyu Ding

According to our database, Mingyu Ding authored at least 85 papers between 2014 and 2024.

Collaborative distances:

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

2024

RoadBEV: Road Surface Reconstruction in Bird's Eye View.

Tong Zhao, Lei Yang, Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Yintao Wei

IEEE Trans. Intell. Transp. Syst., November, 2024

DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models.

Yuanfei Lin, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Matthias Althoff

IEEE Robotics Autom. Lett., October, 2024

Context Autoencoder for Self-supervised Representation Learning.

Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang

Int. J. Comput. Vis., January, 2024

DCP: Learning Accelerator Dataflow for Neural Network via Propagation.

Peng Xu, Wenqi Shao, Mingyu Ding, Ping Luo

CoRR, 2024

Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework.

Shiyu Fang, Jiaqi Liu, Mingyu Ding, Yiming Cui, Chen Lv, Peng Hang, Jian Sun

CoRR, 2024

TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection.

Philip L. Jacobson, Yichen Xie, Mingyu Ding, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Ming C. Wu

CoRR, 2024

P2 Explore: Efficient Exploration in Unknown Clustered Environment with Floor Plan Prediction.

Kun Song, Gaoming Chen, Masayoshi Tomizuka, Wei Zhan, Zhenhua Xiong, Mingyu Ding

CoRR, 2024

Embodiment-Agnostic Action Planning via Object-Part Scene Flow.

Weiliang Tang, Jia-Hui Pan, Wei Zhan, Jianshu Zhou, Huaxiu Yao, Yun-Hui Liu, Masayoshi Tomizuka, Mingyu Ding, Chi-Wing Fu

CoRR, 2024

DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation.

Huixin Zhang, Guangming Wang, Xinrui Wu, Chenfeng Xu, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

CoRR, 2024

Compositional Physical Reasoning of Objects and Events from Videos.

Zhenfang Chen, Shilong Dong, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

CoRR, 2024

WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning.

Yiheng Li, Chongjian Ge, Chenran Li, Chenfeng Xu, Masayoshi Tomizuka, Chen Tang, Mingyu Ding, Wei Zhan

CoRR, 2024

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

Yixiao Wang, Yifei Zhang, Mingxiao Huo, Ran Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka

CoRR, 2024

Q-SLAM: Quadric Representations for Monocular SLAM.

Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan

CoRR, 2024

DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models.

Yuanfei Lin, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Matthias Althoff

CoRR, 2024

PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models.

Dingkun Guo, Yuqi Xiang, Shuqi Zhao, Xinghao Zhu, Masayoshi Tomizuka, Mingyu Ding, Wei Zhan

CoRR, 2024

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation.

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

CoRR, 2024

Depth-aware Volume Attention for Texture-less Stereo Matching.

Tong Zhao, Mingyu Ding, Wei Zhan, Masayoshi Tomizuka, Yintao Wei

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

VDT: General-purpose Video Diffusion Transformers via Mask Modeling.

Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding

Proceedings of the Twelfth International Conference on Learning Representations, 2024

UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling.

Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Wei Zhan, Masayoshi Tomizuka, Mingyu Ding

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.

Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution.

Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval.

Haoyu Lu, Yuqi Huo, Mingyu Ding, Nanyi Fei, Zhiwu Lu

Mach. Intell. Res., August, 2023

Understanding Self-Supervised Pretraining with Part-Aware Representation Learning.

Jie Zhu, Jiyang Qi, Mingyu Ding, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang

Trans. Mach. Learn. Res., 2023

Quadric Representations for LiDAR Odometry, Mapping and Localization.

Chao Xia, Chenfeng Xu, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., 2023

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields.

Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager

IEEE Robotics Autom. Lett., 2023

A Survey of Reasoning with Foundation Models.

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

CoRR, 2023

Interfacing Foundation Models' Embeddings.

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

CoRR, 2023

EgoPlan-Bench: Benchmarking Egocentric Embodied Planning with Multimodal Large Language Models.

Yi Chen, Yuying Ge, Yixiao Ge, Mingyu Ding, Bohao Li, Rui Wang, Ruifeng Xu, Ying Shan, Xihui Liu

CoRR, 2023

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding

CoRR, 2023

Human-oriented Representation Learning for Robotic Manipulation.

Mingxiao Huo, Mingyu Ding, Chenfeng Xu, Thomas Tian, Xinghao Zhu, Yao Mu, Lingfeng Sun, Masayoshi Tomizuka, Wei Zhan

CoRR, 2023

Generalizable Long-Horizon Manipulations with Large Language Models.

Haoyu Zhou, Mingyu Ding, Weikun Peng, Masayoshi Tomizuka, Lin Shao, Chuang Gan

CoRR, 2023

RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving.

Tong Zhao, Chenfeng Xu, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Yintao Wei

CoRR, 2023

Pre-training on Synthetic Driving Data for Trajectory Prediction.

Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan

CoRR, 2023

An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training.

Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Masayoshi Tomizuka, Erik G. Learned-Miller, Chuang Gan

CoRR, 2023

VDT: An Empirical Study on Video Diffusion with Transformers.

Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, Mingyu Ding

CoRR, 2023

EC^2: Emergent Communication for Embodied Control.

Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan

CoRR, 2023

Doubly-Robust Self-Training.

Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao

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

Towards Free Data Selection with General-Purpose Models.

Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan

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

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties.

Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith

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

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought.

Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo

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

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners.

Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo

Proceedings of the International Conference on Machine Learning, 2023

Planning with Large Language Models for Code Generation.

Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TextPSG: Panoptic Scene Graph Generation from Textual Descriptions.

Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EC²: Emergent Communication for Embodied Control.

Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan

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

Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention.

Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan

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

Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners.

Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan

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

2022

PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond.

Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners.

Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan

CoRR, 2022

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields.

Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Jingdong Wang, Liangjun Zhang, Mac Schwager

CoRR, 2022

Multimodal foundation models are better simulators of the human brain.

Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He, Ji-Rong Wen

CoRR, 2022

LGDN: Language-Guided Denoising Network for Video-Language Modeling.

Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu

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

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer.

Yao Mark Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo

Proceedings of the International Conference on Machine Learning, 2022

Learning Versatile Neural Architectures by Propagating Network Codes.

Mingyu Ding, Yuqi Huo, Haoyu Lu, Linjie Yang, Zhe Wang, Zhiwu Lu, Jingdong Wang, Ping Luo

Proceedings of the Tenth International Conference on Learning Representations, 2022

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos.

Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

DaViT: Dual Attention Vision Transformers.

Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan

Proceedings of the Computer Vision, 2022

Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following.

Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Conference on Robot Learning, 2022

2021

Affimer-Based Europium Chelates Allow Sensitive Optical Biosensing in a Range of Human Disease Biomarkers.

Eiman Al-Enezi, Alexandre Vakurov, Amy Eades, Mingyu Ding, Gin Jose, Sikha Saha, Paul Millner

Sensors, 2021

Domain-Adaptive Few-Shot Learning.

An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Compressed Video Contrastive Learning.

Yuqi Huo, Mingyu Ding, Haoyu Lu, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen, Ping Luo

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

Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language.

Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan

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

Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw.

Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang

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

IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning.

Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang

Proceedings of the 9th International Conference on Learning Representations, 2021

L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing.

Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu, Tao Xiang

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

HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers.

Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo

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

A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry.

Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang

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

2020

Domain-Adaptive Few-Shot Learning.

An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo

CoRR, 2020

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud.

Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation.

Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai

Proceedings of the Computer Vision - ECCV 2020, 2020

Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking.

Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai

Proceedings of the Computer Vision - ECCV 2020, 2020

Segmenting Transparent Objects in the Wild.

Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo

Proceedings of the Computer Vision - ECCV 2020, 2020

Lightweight Action Recognition in Compressed Videos.

Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Mingyu Ding, Zhiwu Lu, Tao Xiang, Ji-Rong Wen

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Learning Depth-Guided Convolutions for Monocular 3D Object Detection.

Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo

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

Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow.

Mingyu Ding, Zhe Wang, Bolei Zhou, Jianping Shi, Zhiwu Lu, Ping Luo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Cross-domain mapping learning for transductive zero-shot learning.

Mingyu Ding, Zhe Wang, Zhiwu Lu

Comput. Vis. Image Underst., 2019

CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization.

Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo

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

Face-Focused Cross-Stream Network for Deception Detection in Videos.

Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen

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

2018

Domain-Invariant Projection Learning for Zero-Shot Recognition.

An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection.

Guangzhen Liu, Jun Hu, An Zhao, Mingyu Ding, Yuqi Huo, Zhiwu Lu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Zero-Shot Learning with Superclasses.

Yuqi Huo, Mingyu Ding, An Zhao, Jun Hu, Ji-Rong Wen, Zhiwu Lu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis.

Mingyu Ding, Yuqi Huo, Jun Hu, Zhiwu Lu

Proceedings of the British Machine Vision Conference 2018, 2018

2017

One-Step Facile Synthesis of Aptamer-Modified Graphene Oxide for Highly Specific Enrichment of Human A-Thrombin in Plasma.

Yuan Xu, Siyuan Tan, Qionglin Liang, Mingyu Ding

Sensors, 2017

2015

Research on the Interaction of Hydrogen-Bond Acidic Polymer Sensitive Sensor Materials with Chemical Warfare Agents Simulants by Inverse Gas Chromatography.

Liu Yang, Qiang Han, Shuya Cao, Feng Huang, Molin Qin, Chenghai Guo, Mingyu Ding

Sensors, 2015

2014

Portable Solid Phase Micro-Extraction Coupled with Ion Mobility Spectrometry System for On-Site Analysis of Chemical Warfare Agents and Simulants in Water Samples.

Liu Yang, Qiang Han, Shuya Cao, Jie Yang, Junchao Yang, Mingyu Ding

Sensors, 2014