Kolta, R.W.B.[Rana Wasfi B.]
* 2011: hybrid demosaicking algorithm using frequency domain and wavelet methods, A
Kolter, J.Z.[J. Zico]
* 2022: Deep Equilibrium Optical Flow Estimation
Kolter, Z.[Zico]
* 2021: Defending Multimodal Fusion Models against Single-Source Adversaries
* 2022: Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
* 2023: Adversarial robustness in discontinuous spaces via alternating sampling and descent
* 2023: Finetune like you pretrain: Improved finetuning of zero-shot vision models
* 2023: Single Image Backdoor Inversion via Robust Smoothed Classifiers
Koltsova, E.[Ekaterina]
* 2010: Multi-cell 3D tracking with adaptive acceptance gates
Koltun, V.[Vladlen]
* 2012: Efficient Nonlocal Regularization for Optical Flow
* 2013: Elastic Fragments for Dense Scene Reconstruction
* 2013: Simple Model for Intrinsic Image Decomposition with Depth Cues, A
* 2014: Fast MRF Optimization with Application to Depth Reconstruction
* 2014: Geodesic Object Proposals
* 2014: Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras
* 2015: Depth camera tracking with contour cues
* 2015: Learning to propose objects
* 2015: Robust Nonrigid Registration by Convex Optimization
* 2015: Robust reconstruction of indoor scenes
* 2016: Dense Monocular Depth Estimation in Complex Dynamic Scenes
* 2016: Fast Global Registration
* 2016: Feature Space Optimization for Semantic Video Segmentation
* 2016: Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids
* 2016: Playing for Data: Ground Truth from Computer Games
* 2017: Accurate Optical Flow via Direct Cost Volume Processing
* 2017: Colored Point Cloud Registration Revisited
* 2017: Dilated Residual Networks
* 2017: Fast Image Processing with Fully-Convolutional Networks
* 2017: Learning Compact Geometric Features
* 2017: Photographic Image Synthesis with Cascaded Refinement Networks
* 2017: Playing for Benchmarks
* 2018: Deep Fundamental Matrix Estimation
* 2018: Direct Sparse Odometry
* 2018: Interactive Image Segmentation with Latent Diversity
* 2018: Learning to See in the Dark
* 2018: On Offline Evaluation of Vision-Based Driving Models
* 2018: Semi-Parametric Image Synthesis
* 2018: Tangent Convolutions for Dense Prediction in 3D
* 2019: Acoustic Non-Line-Of-Sight Imaging
* 2019: Connecting the Dots: Learning Representations for Active Monocular Depth Estimation
* 2019: Consensus Maximization Tree Search Revisited
* 2019: Events-To-Video: Bringing Modern Computer Vision to Event Cameras
* 2019: Fully Convolutional Geometric Features
* 2019: Habitat: A Platform for Embodied AI Research
* 2019: Hiding Video in Audio via Reversible Generative Models
* 2019: Seeing Motion in the Dark
* 2019: What Do Single-View 3D Reconstruction Networks Learn?
* 2019: Zoom to Learn, Learn to Zoom
* 2020: Deep Drone Acrobatics
* 2020: Deep Global Registration
* 2020: Dynamic Low-light Imaging with Quanta Image Sensors
* 2020: Exploring Self-Attention for Image Recognition
* 2020: Free View Synthesis
* 2020: High-Dimensional Convolutional Networks for Geometric Pattern Recognition
* 2020: MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
* 2020: On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner
* 2020: Tracking Objects as Points
* 2021: Adaptive Surface Reconstruction with Multiscale Convolutional Kernels
* 2021: High Speed and High Dynamic Range Video with an Event Camera
* 2021: Learning High-Speed Flight in the Wild
* 2021: Learning to drive from a world on rails
* 2021: Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data
* 2021: Point Transformer
* 2021: Self-supervised Geometric Perception
* 2021: Stable View Synthesis
* 2021: Vision Transformers for Dense Prediction
* 2022: Dancing under the stars: video denoising in starlight
* 2022: Global Tracking Transformers
* 2022: Shape from Polarization for Complex Scenes in the Wild
* 2022: Simple Multi-dataset Detection
* 2022: Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
* 2023: ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception
* 2023: Drinking From a Firehose: Continual Learning With Web-Scale Natural Language
* 2023: Enhancing Photorealism Enhancement
* 2023: MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
Includes: Koltun, V.[Vladlen] Koltun, V.
66 for Koltun, V.
Koltunov, A.[Alexander]
* 2017: Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data
* 2017: Marsh Loss Due to Cumulative Impacts of Hurricane Isaac and the Deepwater Horizon Oil Spill in Louisiana