10 citations · 14 across the 9 of their papers we have counts for
9 papers
ResPCC: A Loss-Resilient Neural Point Cloud Codec over Lossy Networks
Xueqin Niu, Mufan Liu, Yifan Wang +3
Point cloud compression (PCC) is critical for efficient storage and transmission of 3D data. While recent learning-based PCC methods achieve good rate-distortion (R-D) performance,…
Video Streaming with Kairos: An MPC-Based ABR with Streaming-Aware Throughput Prediction
Ziyu Zhong, Mufan Liu, Le Yang +3
In this paper, we present Kairos, a model predictive control (MPC)-based adaptive bitrate (ABR) scheme that integrates streaming-aware throughput predictions to enhance video strea…
Progressively Deformable 2D Gaussian Splatting for Video Representation at Arbitrary Resolutions
Mufan Liu, Qi Yang, Miaoran Zhao +4
Implicit neural representations (INRs) enable fast video compression and effective video processing, but a single model rarely offers scalable decoding across rates and resolutions…
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training
Yipeng Liu, Qi Yang, Yujie Zhang +3
We present a novel quality assessment method which can predict the perceptual quality of point clouds from new scenes without available annotations by leveraging the rich prior kno…
StreamOptix: A Cross-layer Adaptive Video Delivery Scheme
Mufan Liu, Le Yang, Yifan Wang +3
This paper presents a cross-layer video delivery scheme, StreamOptix, and proposes a joint optimization algorithm for video delivery that leverages the characteristics of the physi…
EVAN: Evolutional Video Streaming Adaptation via Neural Representation
Mufan Liu, Le Yang, Yiling Xu +2
Adaptive bitrate (ABR) using conventional codecs cannot further modify the bitrate once a decision has been made, exhibiting limited adaptation capability. This may result in eithe…
Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description
Yipeng Liu, Qi Yang, Yujie Zhang +4
The visual quality of point clouds plays a crucial role in the development and broadcasting of immersive media. Therefore, investigating point cloud quality assessment (PCQA) is in…
TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment
Yujie Zhang, Qi Yang, Yifei Zhou +3
The goal of objective point cloud quality assessment (PCQA) research is to develop quantitative metrics that measure point cloud quality in a perceptually consistent manner. Mergin…
Point Cloud Quality Assessment: Dataset Construction and Learning-based No-Reference Metric
Yipeng Liu, Qi Yang, Yiling Xu +1
Full-reference (FR) point cloud quality assessment (PCQA) has achieved impressive progress in recent years. However, in many cases, obtaining the reference point clouds is difficul…