SimpleRecon: 3D Reconstruction without 3D Convolutions
Structure and Motion from Casual Videos
What Matters for 3D Scene Flow Network
Correspondence Reweighted Translation Averaging
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
Objects Can Move: 3D Change Detection by Geometric Transformation Consistency
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs
Deforming Radiance Fields with Cages
FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction
MODE: Multi-View Omnidirectional Depth Estimation with 360 Cameras
GigaDepth: Learning Depth from Structured Light with Branching Neural Networks
ActiveNeRF: Learning Where to See with Uncertainty Estimation
PoserNet: Refining Relative Camera Poses Exploiting Object Detections
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation
Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson Sampling
Towards Learning Neural Representations from Shadows
Class-Incremental Novel Class Discovery
Unknown-Oriented Learning for Open Set Domain Adaptation
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
Class-Agnostic Object Counting Robust to Intraclass Diversity
Burn after Reading: Online Adaptation for Cross-Domain Streaming Data
Mind the Gap in Distilling StyleGANs
Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
RegionCL: Exploring Contrastive Region Pairs for Self-Supervised Representation Learning
Long-Tailed Class Incremental Learning
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
Adversarial Partial Domain Adaptation by Cycle Inconsistency
Combating Label Distribution Shift for Active Domain Adaptation
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
A Unified Framework for Domain Adaptive Pose Estimation
A Broad Study of Pre-training for Domain Generalization and Adaptation
Prior Knowledge Guided Unsupervised Domain Adaptation
GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization
AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection
Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box
Visual Prompt Tuning
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap.