20 citations · 54 across the 15 of their papers we have counts for
15 papers
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning
Penglei Sun, Yaoxian Song, Xiangru Zhu +7
Scene understanding enables intelligent agents to interpret and comprehend their environment. While existing large vision-language models (LVLMs) for scene understanding have prima…
OG-Mapping: Octree-based Structured 3D Gaussians for Online Dense Mapping
Meng Wang, Junyi Wang, Changqun Xia +2
3D Gaussian splatting (3DGS) has recently demonstrated promising advancements in RGB-D online dense mapping. Nevertheless, existing methods excessively rely on per-pixel depth cues…
PGNeXt: High-Resolution Salient Object Detection via Pyramid Grafting Network
Changqun Xia, Chenxi Xie, Zhentao He +2
We present an advanced study on more challenging high-resolution salient object detection (HRSOD) from both dataset and network framework perspectives. To compensate for the lack o…
Towards Imbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation
Tianshu Yu, Changqun Xia, Jia Li
Video portrait segmentation (VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent years. However, simplicity of existi…
Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff
Jia Li, Shengye Qiao, Zhirui Zhao +3
Existing salient object detection methods often adopt deeper and wider networks for better performance, resulting in heavy computational burden and slow inference speed. This inspi…
View-aware Salient Object Detection for 360° Omnidirectional Image
Junjie Wu, Changqun Xia, Tianshu Yu +1
Image-based salient object detection (ISOD) in 360° scenarios is significant for understanding and applying panoramic information. However, research on 360° ISOD has not been widel…
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
Chenxi Xie, Changqun Xia, Mingcan Ma +3
Recent salient object detection (SOD) methods based on deep neural network have achieved remarkable performance. However, most of existing SOD models designed for low-resolution in…
Receptive Field Broadening and Boosting for Salient Object Detection
Mingcan Ma, Changqun Xia, Chenxi Xie +2
Salient object detection requires a comprehensive and scalable receptive field to locate the visually significant objects in the image. Recently, the emergence of visual transforme…
Exploring Driving-aware Salient Object Detection via Knowledge Transfer
Jinming Su, Changqun Xia, Jia Li
Recently, general salient object detection (SOD) has made great progress with the rapid development of deep neural networks. However, task-aware SOD has hardly been studied due to…
Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss
Jia Li, Jinming Su, Changqun Xia +2
By the aid of attention mechanisms to weight the image features adaptively, recent advanced deep learning-based models encourage the predicted results to approximate the ground-tru…
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning
Changqun Xia, Jia Li, Jinming Su +1
Typically, objects with the same semantics are not always prominent in images containing different backgrounds. Motivated by this observation that accurately salient object detecti…
Distortion-adaptive Salient Object Detection in 360 Omnidirectional Images
Jia Li, Jinming Su, Changqun Xia +1
Image-based salient object detection (SOD) has been extensively explored in the past decades. However, SOD on 360 omnidirectional images is less studied owing to the lack o…
Selectivity or Invariance: Boundary-aware Salient Object Detection
Jinming Su, Jia Li, Yu Zhang +2
Typically, a salient object detection (SOD) model faces opposite requirements in processing object interiors and boundaries. The features of interiors should be invariant to strong…
Learning a Saliency Evaluation Metric Using Crowdsourced Perceptual Judgments
Changqun Xia, Jia Li, Jinming Su +1
In the area of human fixation prediction, dozens of computational saliency models are proposed to reveal certain saliency characteristics under different assumptions and definition…
A Benchmark Dataset and Saliency-guided Stacked Autoencoders for Video-based Salient Object Detection
Jia Li, Changqun Xia, Xiaowu Chen
Image-based salient object detection (SOD) has been extensively studied in the past decades. However, video-based SOD is much less explored since there lack large-scale video datas…