Tianjian Meng

According to our database, Tianjian Meng authored at least 9 papers between 2019 and 2022.

Collaborative distances:

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

2022

Revisiting Multi-Scale Feature Fusion for Semantic Segmentation.

Tianjian Meng, Golnaz Ghiasi, Reza Mahjourian, Quoc V. Le, Mingxing Tan

CoRR, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan

CoRR, 2022

Towards the Co-design of Neural Networks and Accelerators.

Yanqi Zhou, Xuanyi Dong, Tianjian Meng, Mingxing Tan, Berkin Akin, Daiyi Peng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

Proceedings of Machine Learning and Systems 2022, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan

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

2021

Rethinking Co-design of Neural Architectures and Hardware Accelerators.

Yanqi Zhou, Xuanyi Dong, Berkin Akin, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

CoRR, 2021

A Design Space Study for LISTA and Beyond.

Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang

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

Spatiotemporal Contrastive Video Representation Learning.

Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui

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

2020

Go Wide, Then Narrow: Efficient Training of Deep Thin Networks.

Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

SSN: Learning Sparse Switchable Normalization via SparsestMax.

Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo

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