21 citations · 38 across the 4 of their papers we have counts for
5 papers
Loss-tolerant neural video codec aware congestion control for real time video communication
Zhengxu Xia, Hanchen Li, Junchen Jiang
Because of reinforcement learning's (RL) ability to automatically create more adaptive controlling logics beyond the hand-crafted heuristics, numerous effort has been made to apply…
AccMPEG: Optimizing Video Encoding for Video Analytics
Kuntai Du, Qizheng Zhang, Anton Arapin +3
With more videos being recorded by edge sensors (cameras) and analyzed by computer-vision deep neural nets (DNNs), a new breed of video streaming systems has emerged, with the goal…
Towards Performance Clarity of Edge Video Analytics
Zhujun Xiao, Zhengxu Xia, Haitao Zheng +2
Edge video analytics is becoming the solution to many safety and management tasks. Its wide deployment, however, must first address the tension between inference accuracy and resou…
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan +6
Video analytics applications use edge compute servers for the analytics of the videos (for bandwidth and privacy). Compressed models that are deployed on the edge servers for infer…
Learning Model-Blind Temporal Denoisers without Ground Truths
Yanghao Li, Bichuan Guo, Jiangtao Wen +3
Denoisers trained with synthetic data often fail to cope with the diversity of unknown noises, giving way to methods that can adapt to existing noise without knowing its ground tru…