Tianheng Cheng

According to our database, Tianheng Cheng authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

YOLO-World: Real-Time Open-Vocabulary Object Detection.

Tianheng Cheng, Lin Song, Yixiao Ge, Wenyu Liu, Xinggang Wang, Ying Shan

CoRR, 2024

MobileInst: Video Instance Segmentation on the Mobile.

Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TinyDet: accurately detecting small objects within 1 GFLOPs.

Shaoyu Chen, Tianheng Cheng, Jiemin Fang, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang

Sci. China Inf. Sci., January, 2023

Symphonize 3D Semantic Scene Completion with Contextual Instance Queries.

Haoyi Jiang, Tianheng Cheng, Naiyu Gao, Haoyang Zhang, Wenyu Liu, Xinggang Wang

CoRR, 2023

ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration.

Jiaqi Ma, Tianheng Cheng, Guoli Wang, Qian Zhang, Xinggang Wang, Lefei Zhang

CoRR, 2023

VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene.

Shaoyu Chen, Yunchi Zhang, Bencheng Liao, Jiafeng Xie, Tianheng Cheng, Wei Sui, Qian Zhang, Chang Huang, Wenyu Liu, Xinggang Wang

CoRR, 2023

TinyDet: Accurate Small Object Detection in Lightweight Generic Detectors.

Shaoyu Chen, Tianheng Cheng, Jiemin Fang, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang

CoRR, 2023

Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction.

Bencheng Liao, Shaoyu Chen, Bo Jiang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang

CoRR, 2023

MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction.

Bencheng Liao, Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation.

Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Qian Zhang, Wenyu Liu

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

2022

Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction.

Bo Jiang, Shaoyu Chen, Xinggang Wang, Bencheng Liao, Tianheng Cheng, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang

CoRR, 2022

Polar Parametrization for Vision-based Surround-View 3D Detection.

Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Chang Huang, Wenyu Liu

CoRR, 2022

Featurized Query R-CNN.

Wenqiang Zhang, Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Qian Zhang, Wenyu Liu

CoRR, 2022

Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer.

Shaoyu Chen, Tianheng Cheng, Xinggang Wang, Wenming Meng, Qian Zhang, Wenyu Liu

CoRR, 2022

Knowledge Mining with Scene Text for Fine-Grained Recognition.

Hao Wang, Junchao Liao, Tianheng Cheng, Zewen Gao, Hao Liu, Bo Ren, Xiang Bai, Wenyu Liu

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

Sparse Instance Activation for Real-Time Instance Segmentation.

Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Wenqiang Zhang, Qian Zhang, Chang Huang, Zhaoxiang Zhang, Wenyu Liu

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

AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception.

Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Wenqiang Zhang, Qian Zhang, Chang Huang, Wenyu Liu

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

Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation.

Zhi Liu, Shaoyu Chen, Xiaojie Guo, Xinggang Wang, Tianheng Cheng, Hongmei Zhu, Qian Zhang, Wenyu Liu, Yi Zhang

Proceedings of the Conference on Robot Learning, 2022

2021

Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling.

Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou

IEEE Trans. Neural Networks Learn. Syst., 2021

Deep High-Resolution Representation Learning for Visual Recognition.

Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

Boundary-Preserving Mask R-CNN.

Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

MMDetection: Open MMLab Detection Toolbox and Benchmark.

Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

CoRR, 2019

High-Resolution Representations for Labeling Pixels and Regions.

Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang

CoRR, 2019

An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning.

Ji Zhang, Yu Liu, Ke Zhou, Guoliang Li, Zhili Xiao, Bin Cheng, Jiashu Xing, Yangtao Wang, Tianheng Cheng, Li Liu, Minwei Ran, Zekang Li

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Bayesian CycleGAN via Marginalizing Latent Sampling.

Haoran You, Yu Cheng, Tianheng Cheng, Chun-Liang Li, Pan Zhou

CoRR, 2018