152 citations · 167 across the 6 of their papers we have counts for
6 papers
Online Convolutional Re-parameterization
Mu Hu, Junyi Feng, Jiashen Hua +4
Structural re-parameterization has drawn increasing attention in various computer vision tasks. It aims at improving the performance of deep models without introducing any inferenc…
Learning to Generate Content-Aware Dynamic Detectors
Junyi Feng, Jiashen Hua, Baisheng Lai +3
Model efficiency is crucial for object detection. Mostprevious works rely on either hand-crafted design or auto-search methods to obtain a static architecture, regardless ofthe dif…
Tamed Warping Network for High-Resolution Semantic Video Segmentation
Songyuan Li, Junyi Feng, Xi Li
Recent approaches for fast semantic video segmentation have reduced redundancy by warping feature maps across adjacent frames, greatly speeding up the inference phase. However, the…
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
Yifeng Chen, Guangchen Lin, Songyuan Li +6
Panoptic segmentation aims to perform instance segmentation for foreground instances and semantic segmentation for background stuff simultaneously. The typical top-down pipeline co…
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge
Junyi Feng, Songyuan Li, Xi Li +4
Real-time semantic video segmentation is a challenging task due to the strict requirements of inference speed. Recent approaches mainly devote great efforts to reducing the model s…
Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net
Yunze Man, Yangsibo Huang, Junyi Feng +2
Segmentation of pancreas is important for medical image analysis, yet it faces great challenges of class imbalance, background distractions and non-rigid geometrical features. To a…