Jiawei Ren

I am an algorithm researcher at SenseTime Research (Singapore), where I work on computer vision and machine learning.

At Sensetime I've worked on Long-tailed Visual Recoginition, Panoptic Segmentation, Trajectory Prediction, and 3D Pose Estimation. Previously, I did my bachelors at Nanyang Technological University (NTU).

CV  /  Github  /  Google Scholar

profile photo
Publication
balms REFINE: Prediction Fusion Network for Panoptic Segmentation
Jiawei Ren*, Cunjun Yu*, Zhongang Cai*, Mingyuan Zhang, Chongsong Chen, Haiyu Zhao, Shuai Yi, Hongsheng Li
AAAI, 2021
PDF / Code / Project Page

We proposed a prediction fusion framwork for panoptic segmentation.

balms Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li
NeurIPS, 2020
Arxiv / Code / Project Page

We presented Balanced Softmax to accommodate the label distribution shift between training and testing, and a complementary Meta Sampler to estimate the optimal class sample rate.

star Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu*, Xiao Ma*, Jiawei Ren, Haiyu Zhao, Shuai Yi,
ECCV, 2020
Arxiv / Code / Project Page / Video

Presented STAR, a Spatio-Temporal grAph tRansformer framework, which captures complex spatio-temporal interactions by interleaving between spatial and temporal Transformers.

star Balanced Activation for Long-tailed Visual Recognition
Jiawei Ren*, Cunjun Yu*, Zhongang Cai*, Haiyu Zhao
ECCVW, 2020
Technical Report / Code / Talk / Video

Spotlight of ECCV 2020 COCO + LVIS Workshop.

panopticseg Panoptic HTC with Class-Guided Fusion
Chongsong Chen*, Jiawei Ren*, Daisheng Jin, Zhongang Cai, Cunjun Yu, Bairun Wang, Mingyuan Zhang, Jinyi Wu
ICCVW, 2019
Technical Report / Leader Board (Team Innovation)

1st place solution for ICCV 2019 COCO Panoptic Segmentation Challenge.


Last updated on 3 Dec 2020. Template stolen from Jon Barron