Junhua Mao

According to our database, Junhua Mao authored at least 17 papers between 2013 and 2023.

Collaborative distances:

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

2023

Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints.

Jiachen Li, Xinwei Shi, Feiyu Chen, Jonathan Stroud, Zhishuai Zhang, Tian Lan, Junhua Mao, Jeonhyung Kang, Khaled S. Refaat, Weilong Yang, Eugene Ie, Congcong Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving.

Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction.

Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li

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

2017

Multimodal Learning for Vision and Language.

Junhua Mao

PhD thesis, 2017

Attention Correctness in Neural Image Captioning.

Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images.

Junhua Mao, Jiajing Xu, Yushi Jing, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

CNN-RNN: A Unified Framework for Multi-label Image Classification.

Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Generation and Comprehension of Unambiguous Object Descriptions.

Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN).

Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille

Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images.

Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille

CoRR, 2015

Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering.

Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu

CoRR, 2015

Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question.

Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images.

Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Explain Images with Multimodal Recurrent Neural Networks.

Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille

CoRR, 2014

Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm.

Jun Zhu, Junhua Mao, Alan L. Yuille

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

An Active Patch Model for Real World Texture and Appearance Classification.

Junhua Mao, Jun Zhu, Alan L. Yuille

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Scale based region growing for scene text detection.

Junhua Mao, Houqiang Li, Wengang Zhou, Shuicheng Yan, Qi Tian

Proceedings of the ACM Multimedia Conference, 2013