activity
20152023
most citedTree-Structured Reinforcement Learning for Sequential Object Localization

85 citations · 589 across the 37 of their papers we have counts for

collaborators
Showing 2018Show all

7 papers · 1 filter

cs.CV2018★ 26 cited

Real-Time Referring Expression Comprehension by Single-Stage Grounding Network

Xinpeng Chen, Lin Ma, Jingyuan Chen +3

In this paper, we propose a novel end-to-end model, namely Single-Stage Grounding network (SSG), to localize the referent given a referring expression within an image. Different fr…

cs.LG2018★ 28 cited

A Sufficient Condition for Convergences of Adam and RMSProp

Fangyu Zou, Li Shen, Zequn Jie +2

Adam and RMSProp are two of the most influential adaptive stochastic algorithms for training deep neural networks, which have been pointed out to be divergent even in the convex se…

cs.CV2018★ 1 cited

Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry

Yonggen Ling, Linchao Bao, Zequn Jie +6

Combining cameras and inertial measurement units (IMUs) has been proven effective in motion tracking, as these two sensing modalities offer complementary characteristics that are s…

cs.LG2018★ 2 cited

A Unified Analysis of AdaGrad with Weighted Aggregation and Momentum Acceleration

Li Shen, Congliang Chen, Fangyu Zou +3

Integrating adaptive learning rate and momentum techniques into SGD leads to a large class of efficiently accelerated adaptive stochastic algorithms, such as AdaGrad, RMSProp, Adam…

cs.CV2018★ 44 cited

Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation

Yunchao Wei, Huaxin Xiao, Honghui Shi +3

Despite the remarkable progress, weakly supervised segmentation approaches are still inferior to their fully supervised counterparts. We obverse the performance gap mainly comes fr…

cs.CV2018★ 11 cited

Modular Generative Adversarial Networks

Bo Zhao, Bo Chang, Zequn Jie +1

Existing methods for multi-domain image-to-image translation (or generation) attempt to directly map an input image (or a random vector) to an image in one of the output domains. H…

cs.CV2018★ 11 cited

Left-Right Comparative Recurrent Model for Stereo Matching

Zequn Jie, Pengfei Wang, Yonggen Ling +4

Leveraging the disparity information from both left and right views is crucial for stereo disparity estimation. Left-right consistency check is an effective way to enhance the disp…