activity
20152025
most citedCAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection

224 citations · 2.3k across the 117 of their papers we have counts for

collaborators
Showing 2019Show all

10 papers · 1 filter

cs.CV2019★ 3 cited

Class-Conditional Domain Adaptation on Semantic Segmentation

Yue Wang, Yuke Li, James H. Elder +2

Semantic segmentation is an important sub-task for many applications, but pixel-level ground truth labeling is costly and there is a tendency to overfit the training data, limiting…

cs.CV2019

ROI Pooled Correlation Filters for Visual Tracking

Yuxuan Sun, Chong Sun, Dong Wang +2

The ROI (region-of-interest) based pooling method performs pooling operations on the cropped ROI regions for various samples and has shown great success in the object detection met…

cs.CV2019★ 23 cited

Deep Multiphase Level Set for Scene Parsing

Pingping Zhang, Wei Liu, Yinjie Lei +2

Recently, Fully Convolutional Network (FCN) seems to be the go-to architecture for image segmentation, including semantic scene parsing. However, it is difficult for a generic FCN…

cs.CV2019★ 49 cited

GradNet: Gradient-Guided Network for Visual Object Tracking

Peixia Li, Boyu Chen, Wanli Ouyang +3

The fully-convolutional siamese network based on template matching has shown great potentials in visual tracking. During testing, the template is fixed with the initial target feat…

cs.CV2019★ 69 cited

Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation

Yu Zeng, Yunzhi Zhuge, Huchuan Lu +1

Existing weakly supervised semantic segmentation (WSSS) methods usually utilize the results of pre-trained saliency detection (SD) models without explicitly modeling the connection…

cs.CV2019★ 34 cited

'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-term Tracking

Bin Yan, Haojie Zhao, Dong Wang +2

Compared with traditional short-term tracking, long-term tracking poses more challenges and is much closer to realistic applications. However, few works have been done and their pe…

cs.CV2019★ 37 cited

Towards High-Resolution Salient Object Detection

Yi Zeng, Pingping Zhang, Jianming Zhang +2

Deep neural network based methods have made a significant breakthrough in salient object detection. However, they are typically limited to input images with low resolutions ($400\t…

cs.CV2019★ 9 cited

Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion

Pingping Zhang, Wei Liu, Yinjie Lei +2

Semantic Scene Completion (SSC) aims to simultaneously predict the volumetric occupancy and semantic category of a 3D scene. It helps intelligent devices to understand and interact…

cs.CV2019★ 2 cited

Multi-source weak supervision for saliency detection

Yu Zeng, Yunzhi Zhuge, Huchuan Lu +3

The high cost of pixel-level annotations makes it appealing to train saliency detection models with weak supervision. However, a single weak supervision source usually does not con…

cs.CV2019★ 64 cited

Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss

Pingping Zhang, Wei Liu, Huchuan Lu +1

Salient object detection (SOD), which aims to identify and locate the most salient pixels or regions in images, has been attracting more and more interest due to its various real-w…