Zhikai Dong — accepted AI-conference papers

2026

IQ-LUT: INTERPOLATED AND QUANTIZED LUT FOR EFFICIENT IMAGE SUPER-RESOLUTION

Yuxuan Zhang, Zhikai Dong, Xinning Chai, Xiangyun Zhou, Yi Xu

ICASSP 2026poster

Lookup table (LUT) methods demonstrate considerable potential in accelerating image super-resolution inference. However, pursuing higher image quality through larger receptive fields and bit-depth triggers exponential growth in the LUT's index space, creating a storage bottleneck that limits deploym…

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2019

PPR-Net:Point-wise Pose Regression Network for Instance Segmentation and 6D Pose Estimation in Bin-picking Scenarios

Zhikai Dong, Sicheng Liu, Tao Zhou, Hui Cheng, Long Zeng, Xingyao Yu +1

IROS 2019poster

Accurate object 6D pose estimation is a core task for robot bin-picking applications, especially when objects are randomly stacked with heavy occlusion. To address this problem, this paper proposes a simple but novel Point-wise Pose Regression Network (PPR-Net). For each point in the point cloud, th…

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