Rares Ambrus
24 papers · 2019–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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(20)
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(10)
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Research topics
Computer Vision
(20)
Analysis
(16)
Machine Learning
(13)
Learning Types Β· Machine Learning
(13)
Deep Learning
(9)
Processing
(6)
Learning Types Β· Deep Learning
(5)
Architectures
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Domain-Specific
(3)
Generation
(3)
Artificial Intelligence
(2)
Robotics
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Core AI
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Keywords
self-supervised learning
(11)
depth estimation
(10)
monocular depth
(4)
monocular depth estimation
(4)
3d reconstruction
(3)
semantic segmentation
(3)
novel view synthesis
(3)
feature matching
(2)
visual odometry
(2)
depth prediction
(2)
keypoint detection
(2)
video processing
(2)
ego-motion estimation
(2)
semi-supervised learning
(2)
autonomous driving
(1)
data augmentation
(1)
action recognition
(1)
object detection
(1)
unsupervised domain adaptation
(1)
label propagation
(1)
Papers
AllTracker: Efficient Dense Point Tracking at High Resolution
ICCV 2025
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
CVPR 2025
Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion
CVPR 2025
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation
NeurIPS 2024
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
ECCV 2024
Understanding Video Transformers via Universal Concept Discovery
CVPR 2024
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
ICCV 2023
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
ICCV 2023
Towards Zero-Shot Scale-Aware Monocular Depth Estimation
ICCV 2023
Depth Field Networks for Generalizable Multi-View Scene Representation
ECCV 2022
Multi-Frame Self-Supervised Depth With Transformers
CVPR 2022
Photo-Realistic Neural Domain Randomization
ECCV 2022
"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization"
ECCV 2022
SpOT: Spatiotemporal Modeling for 3D Object Tracking
ECCV 2022
Geometric Unsupervised Domain Adaptation for Semantic Segmentation
ICCV 2021
Is Pseudo-Lidar Needed for Monocular 3D Object Detection?
ICCV 2021
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
CVPR 2021
Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency
ICCV 2021
3D Packing for Self-Supervised Monocular Depth Estimation
CVPR 2020
Neural Outlier Rejection for Self-Supervised Keypoint Learning
ICLR 2020
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation
CoRL 2020
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
ICLR 2020
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances
CoRL 2019
Two Stream Networks for Self-Supervised Ego-Motion Estimation
CoRL 2019