3.5k citations · 4k across the 14 of their papers we have counts for
14 papers
Track Anything: Segment Anything Meets Videos
Jinyu Yang, Mingqi Gao, Zhe Li +3
Recently, the Segment Anything Model (SAM) gains lots of attention rapidly due to its impressive segmentation performance on images. Regarding its strong ability on image segmentat…
MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer
Shanghua Gao, Pan Zhou, Ming-Ming Cheng +1
Despite its success in image synthesis, we observe that diffusion probabilistic models (DPMs) often lack contextual reasoning ability to learn the relations among object parts in a…
Towards Sustainable Self-supervised Learning
Shanghua Gao, Pan Zhou, Ming-Ming Cheng +1
Although increasingly training-expensive, most self-supervised learning (SSL) models have repeatedly been trained from scratch but not fully utilized, since only a few SOTAs are em…
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks
Shanghua Gao, Zhong-Yu Li, Qi Han +2
Temporal/spatial receptive fields of models play an important role in sequential/spatial tasks. Large receptive fields facilitate long-term relations, while small receptive fields…
SERE: Exploring Feature Self-relation for Self-supervised Transformer
Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng
Learning representations with self-supervision for convolutional networks (CNN) has been validated to be effective for vision tasks. As an alternative to CNN, vision transformers (…
Global2Local: Efficient Structure Search for Video Action Segmentation
Shang-Hua Gao, Qi Han, Zhong-Yu Li +3
Temporal receptive fields of models play an important role in action segmentation. Large receptive fields facilitate the long-term relations among video clips while small receptive…
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu, Shang-Hua Gao, Jie Mei +4
Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, influencing billions of humans. To control the infection, identifying and sep…
Highly Efficient Salient Object Detection with 100K Parameters
Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng +3
Salient object detection models often demand a considerable amount of computation cost to make precise prediction for each pixel, making them hardly applicable on low-power devices…
Res2Net: A New Multi-scale Backbone Architecture
Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao +3
Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate…
Bifocal-Lens Antenna Based OAM Communications System
Shanghua Gao, Wenchi Cheng, Wei Zhang +1
Orbital angular momentum (OAM) based radio vortex wireless communications have received much attention recently because it can significantly increase the spectrum efficiency. The u…
Optimizing the F-measure for Threshold-free Salient Object Detection
Kai Zhao, Shanghua Gao, Wenguan Wang +1
Current CNN-based solutions to salient object detection (SOD) mainly rely on the optimization of cross-entropy loss (CELoss). Then the quality of detected saliency maps is often ev…
Orbital Angular Momentum for Wireless Communications
Wenchi Cheng, Wei Zhang, Haiyue Jing +2
As the traditional resources (frequency, time, space, etc.) are efficiently utilized, it becomes more and more challenging to satisfy the ever-lasting capacity-growing and users-bo…
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu +3
We provide a comprehensive evaluation of salient object detection (SOD) models. Our analysis identifies a serious design bias of existing SOD datasets which assumes that each image…
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection
Kai Zhao, Wei Shen, Shanghua Gao +2
In natural images, the scales (thickness) of object skeletons may dramatically vary among objects and object parts, making object skeleton detection a challenging problem. We prese…