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20142023
most citedTraining Deeper Convolutional Networks with Deep Supervision

167 citations · 796 across the 44 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

cs.CL2020★ 5 cited

Robust Dialogue Utterance Rewriting as Sequence Tagging

Jie Hao, Linfeng Song, Liwei Wang +3

The task of dialogue rewriting aims to reconstruct the latest dialogue utterance by copying the missing content from the dialogue context. Until now, the existing models for this t…

cs.CV2020★ 12 cited

Fully Convolutional Networks for Panoptic Segmentation

Yanwei Li, Hengshuang Zhao, Xiaojuan Qi +4

In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN. Our approach aims to represent and predict foregrou…

cs.LG2020★ 75 cited

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training

Tianle Cai, Shengjie Luo, Keyulu Xu +3

Normalization is known to help the optimization of deep neural networks. Curiously, different architectures require specialized normalization methods. In this paper, we study what…

cs.CV2020★ 17 cited

Improving One-stage Visual Grounding by Recursive Sub-query Construction

Zhengyuan Yang, Tianlang Chen, Liwei Wang +1

We improve one-stage visual grounding by addressing current limitations on grounding long and complex queries. Existing one-stage methods encode the entire language query as a sing…

cs.LG2020★ 2 cited

Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL

Xiaoyu Chen, Jiachen Hu, Lihong Li +1

Reinforcement learning (RL) in episodic, factored Markov decision processes (FMDPs) is studied. We propose an algorithm called FMDP-BF, which leverages the factorization structure…

cs.CV2020★ 14 cited

Comprehensive Image Captioning via Scene Graph Decomposition

Yiwu Zhong, Liwei Wang, Jianshu Chen +2

We address the challenging problem of image captioning by revisiting the representation of image scene graph. At the core of our method lies the decomposition of a scene graph into…