Chenhan Jiang

According to our database, Chenhan Jiang authored at least 24 papers between 2017 and 2024.

Collaborative distances:

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

2024

Deeply Unsupervised Patch Re-Identification for Pre-Training Object Detectors.

Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

A Survey On Text-to-3D Contents Generation In The Wild.

Chenhan Jiang

CoRR, 2024

JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation.

Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data.

Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

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

2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo

CoRR, 2022

2021

Mapping Directional Mid-Air Unistroke Gestures to Interaction Commands: A User Elicitation and Evaluation Study.

Yiqi Xiao, Ke Miao, Chenhan Jiang

Symmetry, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu

CoRR, 2021

Unsupervised Pretraining for Object Detection by Patch Reidentification.

Jian Ding, Enze Xie, Hang Xu, Chenhan Jiang, Zhenguo Li, Ping Luo, Gui-Song Xia

CoRR, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection.

Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection.

Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

How to Save your Annotation Cost for Panoptic Segmentation?

Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li

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

2020

3D Human Pose Machines with Self-Supervised Learning.

Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei

IEEE Trans. Pattern Anal. Mach. Intell., 2020

VEGA: Towards an End-to-End Configurable AutoML Pipeline.

Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang

CoRR, 2020

Conceptual Change in Preschool Science Education: Evaluating a Serious Game Designed with Image Schemas for Teaching Sound Concept.

Yiqi Xiao, Chenhan Jiang

Proceedings of the HCI in Games, 2020

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection.

Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li

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

ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection.

Chenhan Jiang, Shaoju Wang, Xiaodan Liang, Hang Xu, Nong Xiao

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

2019

Layout-Graph Reasoning for Fashion Landmark Detection.

Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin

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

Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection.

Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li

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

Spatial-Aware Graph Relation Network for Large-Scale Object Detection.

Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li

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

2018

Hybrid Knowledge Routed Modules for Large-scale Object Detection.

Chenhan Jiang, Hang Xu, Xiaodan Liang, Liang Lin

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

Integrated Strategies of Participatory Design and PBL Towards Collaboration Quality.

Chenhan Jiang, Yongqi Lou

Proceedings of the Cross-Cultural Design. Applications in Cultural Heritage, Creativity and Social Development, 2018

2017

Collaborative Service for Cross-Geographical Design Context: The Case of Sino-Italian Digital Platform.

Chenhan Jiang, Yongqi Lou

Proceedings of the Cross-Cultural Design, 2017