Wenguan Wang

SODsurvey. Salient Object Detection in the Deep Learning Era: An In-Depth Survey

AGS. Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

DHF1K. Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

ViSalientObject. Video Salient Object Detection via Fully Convolutional Networks (TIP18)

deepattention. Deep Visual Attention Prediction (TIP18)

ASNet. Salient Object Detection Driven by Fixation Prediction (CVPR2018)

PAGE-Net. Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)

VOS_Correspondence. Official code for CVPR2023 Boosting Video Object Segmentation via Space-time Correspondence Learning

PDB-ConvLSTM. Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection

DAVSOD. Shifting More Attention to Video Salient Objection Detection, CVPR, 2019, Oral

Lazy-random-walks-for-superpixel-segmentation. Lazy random walks for superpixel segmentation (IEEE TIP14)

ViCoSS. Dataset for 'Video Co-saliency Guided Co-segmentation' (T-CSVT18)

ConsistentViSal. Consistent Video Saliency using Local Gradient Flow Optimization and Global Refinement (TIP15)

gpnn. Code for ECCV2018 - Learning Human-Object Interactions by Graph Parsing Neural Networks.

Real-time-Superpixel-Segmentation-by-DBSCAN-Clustering-Algorithm. Real-time Superpixel Segmentation by DBSCAN Clustering Algorithm (TIP16)

ViSal-dataset-for-video-salient-object-detection. Visal dataset in Consistent Video Saliency using Local Gradient Flow Optimization and Global Refinement (TIP15)

BEVInstructor. [ECCV24] Navigation Instruction Generation with BEV Perception and Large Language Models

STRA-Net. STRAL-Net

saliencysegment. Saliency Aware Video Object Segmentation (CVPR15, PAMI18)

COSNet. See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

Robust-video-object-co-segmentation. Robust Video Object Co-Segmentation (TIP15)

Higher-Order-Image-Co-segmentation. W. Wang and J. Shen, Higher-Order Image Co-segmentation, IEEE Trans. on Multimedia, 18(6):1011-1021, 2016

SupertrajectorySeg. Semi-Supervised Video Object Segmentation with Super-Trajectories (ICCV2017, PAMI2018)

CorrespondenceSaliency. Correspondence Driven Saliency Transfer (TIP16)

HA_deblur. Human-Aware Motion Deblurring (ICCV2019)

Stereoscopic-thumbnail-creation-via-efficient-stereo-saliency-detection. Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection (TVCG16)

visdial-gnn. (CVPR19Oral) Reasoning Visual Dialogs with Structural and Partial Observations

ContrastiveSeg. Exploring Cross-Image Pixel Contrast for Semantic Segmentation

LogicHOI. [NeurIPS2023] Neural-Logic Human-Object Interaction Detection

ETPNav. Official Implementation of "ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments"

Active_VLN. The repository of ECCV 2020 paper `Active Visual Information Gathering for Vision-Language Navigation`

Segment-and-Track-Anything. An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

LOAF. Python