activity
20182023
most citedPatch-Based Deep Autoencoder for Point Cloud Geometry Compression

39 citations · 61 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Video Frame Interpolation with Flow Transformer

Pan Gao, Haoyue Tian, Jie Qin

Video frame interpolation has been actively studied with the development of convolutional neural networks. However, due to the intrinsic limitations of kernel weight sharing in con…

cs.CV2023★ 1 cited

MRGAN360: Multi-stage Recurrent Generative Adversarial Network for 360 Degree Image Saliency Prediction

Pan Gao, Xinlang Chen, Rong Quan +1

Thanks to the ability of providing an immersive and interactive experience, the uptake of 360 degree image content has been rapidly growing in consumer and industrial applications.…

cs.MM2022★ 21 cited

Rate-Distortion Modeling for Bit Rate Constrained Point Cloud Compression

Pan Gao, Shengzhou Luo, Manoranjan Paul

As being one of the main representation formats of 3D real world and well-suited for virtual reality and augmented reality applications, point clouds have gained a lot of popularit…

cs.CV2022

IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression

Kang You, Pan Gao, Qing Li

Point cloud is a crucial representation of 3D contents, which has been widely used in many areas such as virtual reality, mixed reality, autonomous driving, etc. With the boost of…

eess.IV2022

Dilated convolutional neural network-based deep reference picture generation for video compression

Haoyue Tian, Pan Gao, Ran Wei +1

Motion estimation and motion compensation are indispensable parts of inter prediction in video coding. Since the motion vector of objects is mostly in fractional pixel units, origi…

cs.CV2021★ 39 cited

Patch-Based Deep Autoencoder for Point Cloud Geometry Compression

Kang You, Pan Gao

The ever-increasing 3D application makes the point cloud compression unprecedentedly important and needed. In this paper, we propose a patch-based compression process using deep le…

cs.CV2021

Countering Adversarial Examples: Combining Input Transformation and Noisy Training

Cheng Zhang, Pan Gao

Recent studies have shown that neural network (NN) based image classifiers are highly vulnerable to adversarial examples, which poses a threat to security-sensitive image recogniti…

cs.MM2018

Optimization of Occlusion-Inducing Depth Pixels in 3-D Video Coding

Pan Gao, Cagri Ozcinar, Aljosa Smolic

The optimization of occlusion-inducing depth pixels in depth map coding has received little attention in the literature, since their associated texture pixels are occluded in the s…