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Depth Prediction

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Showing 351–400 of 422 papers

TitleStatusHype
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations—0
CatFree3D: Category-agnostic 3D Object Detection with Diffusion—0
Sparse Depth Completion with Semantic Mesh Deformation Optimization—0
360 in the Wild: Dataset for Depth Prediction and View Synthesis—0
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space—0
Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information—0
Splatter a Video: Video Gaussian Representation for Versatile Processing—0
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications—0
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?—0
STDepthFormer: Predicting Spatio-temporal Depth from Video with a Self-supervised Transformer Model—0
Amodal Depth Anything: Amodal Depth Estimation in the Wild—0
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments—0
Structured Depth Prediction in Challenging Monocular Video Sequences—0
Structure Flow-Guided Network for Real Depth Super-Resolution—0
Building Rome with Convex Optimization—0
STS: Surround-view Temporal Stereo for Multi-view 3D Detection—0
Win-Win: Training High-Resolution Vision Transformers from Two Windows—0
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation—0
Synergistic saliency and depth prediction for RGB-D saliency detection—0
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior—0
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation—0
Vision and Learning for Deliberative Monocular Cluttered Flight—0
Visual Localization Using Semantic Segmentation and Depth Prediction—0
TDC-less Direct Time-of-Flight Imaging Using Spiking Neural Networks—0
Temporally Consistent Depth Prediction with Flow-Guided Memory Units—0
GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection—0
GPR-based Subsurface Object Detection and Reconstruction Using Random Motion and DepthNet—0
Geometry-Based Next Frame Prediction from Monocular Video—0
Geometry-Aware Network for Domain Adaptive Semantic Segmentation—0
Geometric Unsupervised Domain Adaptation for Semantic Segmentation—0
GroundUp: Rapid Sketch-Based 3D City Massing—0
Guiding Local Feature Matching with Surface Curvature—0
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information—0
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation—0
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry—0
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving—0
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?—0
ToSA: Token Selective Attention for Efficient Vision Transformers—0
Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation—0
Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks—0
Improved Neural Radiance Fields Using Pseudo-depth and Fusion—0
Toward Accurate Camera-based 3D Object Detection via Cascade Depth Estimation and Calibration—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
In-situ and Non-contact Etch Depth Prediction in Plasma Etching via Machine Learning (ANN & BNN) and Digital Image Colorimetry—0
Instance-aware multi-object self-supervision for monocular depth prediction—0
GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision—0
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces—0
Joint 3D Layout and Depth Prediction from a Single Indoor Panorama Image—0
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM—0
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling—0
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