Index for kolt

Kolta, R.W.B.[Rana Wasfi B.] Co Author Listing * hybrid demosaicking algorithm using frequency domain and wavelet methods, A

Kolter, J.Z.[J. Zico] Co Author Listing * Deep Equilibrium Optical Flow Estimation
* Scaling Laws for Data Filtering: Data Curation Cannot be Compute Agnostic

Kolter, Z.[Zico] Co Author Listing * Adversarial robustness in discontinuous spaces via alternating sampling and descent
* DART: Implicit Doppler Tomography for Radar Novel View Synthesis
* Defending Multimodal Fusion Models against Single-Source Adversaries
* Finetune like you pretrain: Improved finetuning of zero-shot vision models
* From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
* Single Image Backdoor Inversion via Robust Smoothed Classifiers
* Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
7 for Kolter, Z.

Koltsova, E.[Ekaterina] Co Author Listing * Multi-cell 3D tracking with adaptive acceptance gates

Koltun, V.[Vladlen] Co Author Listing * Accurate Optical Flow via Direct Cost Volume Processing
* Acoustic Non-Line-Of-Sight Imaging
* Adaptive Surface Reconstruction with Multiscale Convolutional Kernels
* ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception
* Colored Point Cloud Registration Revisited
* Connecting the Dots: Learning Representations for Active Monocular Depth Estimation
* Consensus Maximization Tree Search Revisited
* Dancing under the stars: video denoising in starlight
* Deep Drone Acrobatics
* Deep Fundamental Matrix Estimation
* Deep Global Registration
* Dense Monocular Depth Estimation in Complex Dynamic Scenes
* Depth camera tracking with contour cues
* Dilated Residual Networks
* Direct Sparse Odometry
* Drinking From a Firehose: Continual Learning With Web-Scale Natural Language
* Dynamic Low-light Imaging with Quanta Image Sensors
* Efficient Nonlocal Regularization for Optical Flow
* Elastic Fragments for Dense Scene Reconstruction
* Enhancing Photorealism Enhancement
* Events-To-Video: Bringing Modern Computer Vision to Event Cameras
* Exploring Self-Attention for Image Recognition
* Fast Global Registration
* Fast Image Processing with Fully-Convolutional Networks
* Fast MRF Optimization with Application to Depth Reconstruction
* Feature Space Optimization for Semantic Video Segmentation
* Free View Synthesis
* Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids
* Fully Convolutional Geometric Features
* Geodesic Object Proposals
* Global Tracking Transformers
* Habitat: A Platform for Embodied AI Research
* Hiding Video in Audio via Reversible Generative Models
* High Speed and High Dynamic Range Video with an Event Camera
* High-Dimensional Convolutional Networks for Geometric Pattern Recognition
* Interactive Image Segmentation with Latent Diversity
* Learning Compact Geometric Features
* Learning High-Speed Flight in the Wild
* Learning to drive from a world on rails
* Learning to propose objects
* Learning to See in the Dark
* MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
* On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner
* On Offline Evaluation of Vision-Based Driving Models
* Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
* Photographic Image Synthesis with Cascaded Refinement Networks
* Playing for Benchmarks
* Playing for Data: Ground Truth from Computer Games
* Point Transformer
* Robust Nonrigid Registration by Convex Optimization
* Robust reconstruction of indoor scenes
* Seeing Motion in the Dark
* Self-supervised Geometric Perception
* Semi-Parametric Image Synthesis
* Shape from Polarization for Complex Scenes in the Wild
* Simple Model for Intrinsic Image Decomposition with Depth Cues, A
* Simple Multi-dataset Detection
* Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras
* Stable View Synthesis
* Tangent Convolutions for Dense Prediction in 3D
* Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
* Tracking Objects as Points
* Vision Transformers for Dense Prediction
* What Do Single-View 3D Reconstruction Networks Learn?
* Zoom to Learn, Learn to Zoom
Includes: Koltun, V.[Vladlen] Koltun, V.
65 for Koltun, V.

Koltunov, A.[Alexander] Co Author Listing * Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data
* Marsh Loss Due to Cumulative Impacts of Hurricane Isaac and the Deepwater Horizon Oil Spill in Louisiana

Index for "k"


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