Real-time object detector on the edge using better augmentation and FCOS with EdgeYOLO
Survey of real-time object detection networks including versatility, robustness, resources, energy
Survey of semantic image segmentation over two decades
Survey of facial image deblurring
Re-identify people with only bounding box annotations by spatial and occlusion contrasts with DICL
Correct fish-eye videos without jitter by weighting the time when get optical flow with SDP
Segment and complete 3D scene with unsupervised learning by fusing cross-domain features with S4R
Faster, lighter, more accurate real-time 3D object detect by early fuse 2D/3D features with TR3D+FF
Multi-person pose estimation using human and keypoint detection with two box processes with ED-Pose
Self-supervised depth estimation even in night images using illumination uncertainty with STEPS
Surface reconstruction even when occlusion by using density with volume rendering with NeuS
Survey of surface reconstruction from point clouds with Sulzer
Monocular 3D reconstruction using Chamfer distance twice with CD2
Survey of visual anomaly detection in industrial manufacturing using deep learning
Detect and segment unknown objects with unsupervised learning using graph partitioning with CutLER
Get object pose that is consistent with the input and is unique with C-3PO
Point cloud analysis with unsupervised learning using simple contrastive learning with Jiang
Detect unknown objects and attributes better by jointly training on both tasks with OvarNet
Unsupervised monocular depth estimation by optimizing with knowledge from Flow-Net with FG-Depth
Survey of 6D pose and shape estimation