no code implementations • ACL 2021 • Jing Gu, Qingyang Wu, Chongruo wu, Weiyan Shi, Zhou Yu
However, the performance of pre-trained models on task-oriented dialog tasks is still under-explored.
no code implementations • 29 Jul 2021 • Fangrui Zhu, Yi Zhu, Li Zhang, Chongruo wu, Yanwei Fu, Mu Li
Semantic segmentation is a challenging problem due to difficulties in modeling context in complex scenes and class confusions along boundaries.
1 code implementation • 11 Dec 2020 • Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li
Video action recognition is one of the representative tasks for video understanding.
no code implementations • 30 Apr 2020 • Yi Zhu, Zhongyue Zhang, Chongruo wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander Smola
In the case of semantic segmentation, this means that large amounts of pixelwise annotations are required to learn accurate models.
1 code implementation • 24 Apr 2020 • Jing Gu, Qingyang Wu, Chongruo wu, Weiyan Shi, Zhou Yu
The recent success of large pre-trained language models such as BERT and GPT-2 has suggested the effectiveness of incorporating language priors in downstream dialog generation tasks.
35 code implementations • 19 Apr 2020 • Hang Zhang, Chongruo wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander Smola
It is well known that featuremap attention and multi-path representation are important for visual recognition.
Ranked #8 on Instance Segmentation on COCO test-dev (APM metric)
2 code implementations • CVPR 2019 • Xiuye Gu, Yijie Wang, Chongruo wu, Yong-Jae lee, Panqu Wang
We present a novel deep neural network architecture for end-to-end scene flow estimation that directly operates on large-scale 3D point clouds.
1 code implementation • ICLR 2019 • Xuanqing Liu, Yao Li, Chongruo wu, Cho-Jui Hsieh
Instead, we model randomness under the framework of Bayesian Neural Network (BNN) to formally learn the posterior distribution of models in a scalable way.
no code implementations • 8 Nov 2016 • Dragomir Radev, Rui Zhang, Steve Wilson, Derek Van Assche, Henrique Spyra Gubert, Alisa Krivokapic, MeiXing Dong, Chongruo wu, Spruce Bondera, Luke Brandl, Jeremy Dohmann
We describe the results of several of our experiments with the system.