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2020 – today
- 2023
[c13]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:
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints. ICRA 2023: 1463-1470- [i10]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:
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints. CoRR abs/2306.01075 (2023) - 2022
- [c12]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:
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CVPR Workshops 2022: 4477-4486 - 2021
- [i9]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:
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CoRR abs/2112.12141 (2021) - 2020
- [c11]Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li:
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. CVPR 2020: 11343-11352 - [i8]Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li:
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. CoRR abs/2005.04255 (2020)
2010 – 2019
- 2017
- [b1]Junhua Mao:
Multimodal Learning for Vision and Language. University of California, Los Angeles, USA, 2017 - [c10]Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
Attention Correctness in Neural Image Captioning. AAAI 2017: 4176-4182 - 2016
- [c9]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille
, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CVPR 2016: 11-20 - [c8]Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu:
CNN-RNN: A Unified Framework for Multi-label Image Classification. CVPR 2016: 2285-2294 - [c7]Junhua Mao, Jiajing Xu, Yushi Jing, Alan L. Yuille:
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images. NIPS 2016: 442-450 - [i7]Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu:
CNN-RNN: A Unified Framework for Multi-label Image Classification. CoRR abs/1604.04573 (2016) - [i6]Chenxi Liu, Junhua Mao, Fei Sha, Alan L. Yuille:
Attention Correctness in Neural Image Captioning. CoRR abs/1605.09553 (2016) - [i5]Junhua Mao, Jiajing Xu, Yushi Jing, Alan L. Yuille:
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images. CoRR abs/1611.08321 (2016) - 2015
- [c6]Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. ICCV 2015: 2533-2541 - [c5]Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu:
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question. NIPS 2015: 2296-2304 - [c4]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille:
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN). ICLR 2015 - [i4]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. CoRR abs/1504.06692 (2015) - [i3]Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu:
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering. CoRR abs/1505.05612 (2015) - [i2]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CoRR abs/1511.02283 (2015) - 2014
- [c3]Junhua Mao, Jun Zhu, Alan L. Yuille:
An Active Patch Model for Real World Texture and Appearance Classification. ECCV (3) 2014: 140-155 - [c2]Jun Zhu, Junhua Mao, Alan L. Yuille:
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm. NIPS 2014: 1125-1133 - [i1]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille:
Explain Images with Multimodal Recurrent Neural Networks. CoRR abs/1410.1090 (2014) - 2013
- [c1]Junhua Mao, Houqiang Li, Wengang Zhou, Shuicheng Yan, Qi Tian:
Scale based region growing for scene text detection. ACM Multimedia 2013: 1007-1016
Coauthor Index
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