631 citations · 771 across the 13 of their papers we have counts for
17 papers
C2D-ISR: Optimizing Attention-based Image Super-resolution from Continuous to Discrete Scales
Yuxuan Jiang, Chengxi Zeng, Siyue Teng +4
In recent years, attention mechanisms have been exploited in single image super-resolution (SISR), achieving impressive reconstruction results. However, these advancements are stil…
HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution
Yuxuan Jiang, Ho Man Kwan, Tianhao Peng +5
Recent advances in implicit neural representations (INRs) have shown significant promise in modeling visual signals for various low-vision tasks including image super-resolution (I…
RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content
Yuxuan Jiang, Jakub Nawała, Chen Feng +4
Super-resolution (SR) is a key technique for improving the visual quality of video content by increasing its spatial resolution while reconstructing fine details. SR has been emplo…
BVI-AOM: A New Training Dataset for Deep Video Compression Optimization
Jakub Nawała, Yuxuan Jiang, Fan Zhang +3
Deep learning is now playing an important role in enhancing the performance of conventional hybrid video codecs. These learning-based methods typically require diverse and represen…
Improving Maximum Likelihood Difference Scaling method to measure inter content scale
Pastor Andréas, Lukáš Krasula, Xiaoqing Zhu +2
The goal of most subjective studies is to place a set of stimuli on a perceptual scale. This is mostly done directly by rating, e.g. using single or double stimulus methodologies,…
Traffic Characteristics of Virtual Reality over Edge-enabled Wi-Fi Networks
Seyedmohammad Salehi, Abdullah Alnajim, Xiaoqing Zhu +3
Virtual reality (VR) is becoming prevalent with a plethora of applications in education, healthcare, entertainment, etc. To increase the user mobility, and to reduce the energy con…
DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems
Yi Zhang, Akash Doshi, Rob Liston +4
In this work, we develop DeepWiPHY, a deep learning-based architecture to replace the channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) correction…
Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions
Isura Nirmal, Abdelwahed Khamis, Mahbub Hassan +2
While decade-long research has clearly demonstrated the vast potential of radio frequency (RF) for many human sensing tasks, scaling this technology to large scenarios remained pro…
Streaming Erasure Codes over Multi-hop Relay Network
Elad Domanovitz, Ashish Khisti, Wai-Tian Tan +2
This paper studies low-latency streaming codes for the multi-hop network. The source is transmitting a sequence of messages (streaming messages) to a destination through a chain of…
Low-Latency Network-Adaptive Error Control for Interactive Streaming
Salma Emara, Silas L. Fong, Baochun Li +4
We introduce a novel network-adaptive algorithm that is suitable for alleviating network packet losses for low-latency interactive communications between a source and a destination…
Optimal Multiplexed Erasure Codes for Streaming Messages with Different Decoding Delays
Silas L. Fong, Ashish Khisti, Baochun Li +3
This paper considers multiplexing two sequences of messages with two different decoding delays over a packet erasure channel. In each time slot, the source constructs a packet base…
Optimal Streaming Erasure Codes over the Three-Node Relay Network
Silas L. Fong, Ashish Khisti, Baochun Li +3
This paper investigates low-latency streaming codes for a three-node relay network. The source transmits a sequence of messages (streaming messages) to the destination through the…
Optimal Streaming Codes for Channels with Burst and Arbitrary Erasures
Silas L. Fong, Ashish Khisti, Baochun Li +3
This paper considers transmitting a sequence of messages (a streaming source) over a packet erasure channel. In each time slot, the source constructs a packet based on the current…
Improved Utility-based Congestion Control for Delay-Constrained Communication
Stefano D'Aronco, Laura Toni, Sergio Mena +2
Due to the presence of buffers in the inner network nodes, each congestion event leads to buffer queueing and thus to an increasing end-to-end delay. In the case of delay sensitive…
Rate Adaptation and Admission Control for Video Transmission with Subjective Quality Constraints
Chao Chen, Xiaoqing Zhu, Gustavo de Veciana +2
Adapting video data rate during streaming can effectively reduce the risk of playback interruptions caused by channel throughput fluctuations. The variations in rate, however, also…
Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale
Zhi Li, Xiaoqing Zhu, Josh Gahm +4
Today, the technology for video streaming over the Internet is converging towards a paradigm named HTTP-based adaptive streaming (HAS). HAS comes with two unique flavors. First, by…
Distributed Rate Allocation Policies for Multi-Homed Video Streaming over Heterogeneous Access Networks
Xiaoqing Zhu, Piyush Agrawal, Jatinder Pal Singh +2
We consider the problem of rate allocation among multiple simultaneous video streams sharing multiple heterogeneous access networks. We develop and evaluate an analytical framework…