Kolta, R.W.B.
Standard Author Listing
with: Aly, H.A.: hybrid demosaicking algorithm using frequency domain and wa...
with: Fakhr, W.: hybrid demosaicking algorithm using frequency domain and wa...
Kolter, J.Z.
Standard Author Listing
with: Bai, S.J.: Deep Equilibrium Optical Flow Estimation
with: Geng, Z.Y.: Deep Equilibrium Optical Flow Estimation
with: Savani, Y.: Deep Equilibrium Optical Flow Estimation
Kolter, Z.
Standard Author Listing
with: Barman, M.: Defending Multimodal Fusion Models against Single-Source A...
with: Behrmann, N.: Unified Fully and Timestamp Supervised Temporal Action S...
with: Condessa, F.: Defending Multimodal Fusion Models against Single-Source...
with: Gall, J.: Unified Fully and Timestamp Supervised Temporal Action Segme...
with: Garg, S.: Finetune like you pretrain: Improved finetuning of zero-shot...
with: Golestaneh, S.A.: Unified Fully and Timestamp Supervised Temporal Acti...
with: Goyal, S.: Finetune like you pretrain: Improved finetuning of zero-sho...
with: Kumar, A.: Finetune like you pretrain: Improved finetuning of zero-sho...
with: Lin, W.Y.: Defending Multimodal Fusion Models against Single-Source Ad...
with: Noroozi, M.: Unified Fully and Timestamp Supervised Temporal Action Se...
with: Raghunathan, A.: Finetune like you pretrain: Improved finetuning of ze...
with: Sun, M.J.: Single Image Backdoor Inversion via Robust Smoothed Classif...
with: Venkatesh, R.: Adversarial robustness in discontinuous spaces via alte...
with: Wong, E.: Adversarial robustness in discontinuous spaces via alternati...
with: Yang, K.: Defending Multimodal Fusion Models against Single-Source Adv...
15 for Kolter, Z.
Koltsova, E.
Standard Author Listing
with: Acton, S.T.: Multi-cell 3D tracking with adaptive acceptance gates
with: Landau, M.: Multi-cell 3D tracking with adaptive acceptance gates
with: Ley, K.: Multi-cell 3D tracking with adaptive acceptance gates
Koltun, V.
Standard Author Listing
with: Alhaija, H.A.: Enhancing Photorealism Enhancement
with: Batra, D.: Habitat: A Platform for Embodied AI Research
with: Bochkovskiy, A.: Vision Transformers for Dense Prediction
with: Brox, T.: What Do Single-View 3D Reconstruction Networks Learn?
with: Cai, Z.P.: Consensus Maximization Tree Search Revisited
with: Cai, Z.P.: Online Continual Learning with Natural Distribution Shifts:...
with: Carlone, L.: Self-supervised Geometric Perception
with: Chan, S.H.: Dynamic Low-light Imaging with Quanta Image Sensors
with: Chen, C.: Learning to See in the Dark
with: Chen, C.: Seeing Motion in the Dark
with: Chen, D.: Learning to drive from a world on rails
with: Chen, Q.: Fast Image Processing with Fully-Convolutional Networks
with: Chen, Q.: Full Flow: Optical Flow Estimation By Global Optimization ov...
with: Chen, Q.: Hiding Video in Audio via Reversible Generative Models
with: Chen, Q.: Interactive Image Segmentation with Latent Diversity
with: Chen, Q.: Learning to See in the Dark
with: Chen, Q.: Robust Nonrigid Registration by Convex Optimization
with: Chen, Q.: Semi-Parametric Image Synthesis
with: Chen, Q.F.: Dense Monocular Depth Estimation in Complex Dynamic Scenes
with: Chen, Q.F.: Fast MRF Optimization with Application to Depth Reconstruc...
with: Chen, Q.F.: Photographic Image Synthesis with Cascaded Refinement Netw...
with: Chen, Q.F.: Seeing Motion in the Dark
with: Chen, Q.F.: Shape from Polarization for Complex Scenes in the Wild
with: Chen, Q.F.: Simple Model for Intrinsic Image Decomposition with Depth ...
with: Chen, Q.F.: Zoom to Learn, Learn to Zoom
with: Chi, Y.H.: Dynamic Low-light Imaging with Quanta Image Sensors
with: Chin, T.: Consensus Maximization Tree Search Revisited
with: Choi, S.J.: Robust reconstruction of indoor scenes
with: Choy, C.: Deep Global Registration
with: Choy, C.: Fully Convolutional Geometric Features
with: Choy, C.: High-Dimensional Convolutional Networks for Geometric Patter...
with: Codevilla, F.: On Offline Evaluation of Vision-Based Driving Models
with: Cremers, D.: Direct Sparse Odometry
with: Do, M.: Seeing Motion in the Dark
with: Dong, W.: ASH: A Modern Framework for Parallel Spatial Hashing in 3D P...
with: Dong, W.: Deep Global Registration
with: Dong, W.: Self-supervised Geometric Perception
with: Donne, S.: Connecting the Dots: Learning Representations for Active Mo...
with: Donne, S.: On Joint Estimation of Pose, Geometry and svBRDF From a Han...
with: Dosovitskiy, A.: On Offline Evaluation of Vision-Based Driving Models
with: Engel, J.: Direct Sparse Odometry
with: Fan, N.: Shape from Polarization for Complex Scenes in the Wild
with: Funkhouser, T.: Dilated Residual Networks
with: Geiger, A.: Connecting the Dots: Learning Representations for Active M...
with: Geiger, A.: On Joint Estimation of Pose, Geometry and svBRDF From a Ha...
with: Gnanasambandam, A.: Dynamic Low-light Imaging with Quanta Image Sensors
with: Hafner, D.: Towards Robust Monocular Depth Estimation: Mixing Datasets...
with: Hayder, Z.: Playing for Benchmarks
with: Hays, J.: MSeg: A Composite Dataset for Multi-Domain Semantic Segmenta...
with: Hu, H.: Drinking From a Firehose: Continual Learning With Web-Scale Na...
with: Jain, B.: Habitat: A Platform for Embodied AI Research
with: Jia, J.Y.: Exploring Self-Attention for Image Recognition
with: Jia, J.Y.: Point Transformer
with: Jia, J.Y.: Semi-Parametric Image Synthesis
with: Jiang, L.: Point Transformer
with: Kadian, A.: Habitat: A Platform for Embodied AI Research
with: Kaess, M.: ASH: A Modern Framework for Parallel Spatial Hashing in 3D ...
with: Kaufmann, E.: Deep Drone Acrobatics
with: Kaufmann, E.: Learning High-Speed Flight in the Wild
with: Khoury, M.: Learning Compact Geometric Features
with: Krahenbuhl, P.: Efficient Nonlocal Regularization for Optical Flow
with: Krahenbuhl, P.: Geodesic Object Proposals
with: Krahenbuhl, P.: Global Tracking Transformers
with: Krahenbuhl, P.: Learning to drive from a world on rails
with: Krahenbuhl, P.: Learning to propose objects
with: Krahenbuhl, P.: Simple Multi-dataset Detection
with: Krahenbuhl, P.: Tracking Objects as Points
with: Kundu, A.: Feature Space Optimization for Semantic Video Segmentation
with: Lambert, J.: MSeg: A Composite Dataset for Multi-Domain Semantic Segme...
with: Lao, Y.X.: ASH: A Modern Framework for Parallel Spatial Hashing in 3D ...
with: Lasinger, K.: Towards Robust Monocular Depth Estimation: Mixing Datase...
with: Lee, J.H.: High-Dimensional Convolutional Networks for Geometric Patte...
with: Lei, C.Y.: Shape from Polarization for Complex Scenes in the Wild
with: Li, Z.: Interactive Image Segmentation with Latent Diversity
with: Li, Z.: What Do Single-View 3D Reconstruction Networks Learn?
with: Liao, Y.: Connecting the Dots: Learning Representations for Active Mon...
with: Lindell, D.B.: Acoustic Non-Line-Of-Sight Imaging
with: Liu, J.: Habitat: A Platform for Embodied AI Research
with: Liu, Z.: MSeg: A Composite Dataset for Multi-Domain Semantic Segmentat...
with: Lopez, A.M.: On Offline Evaluation of Vision-Based Driving Models
with: Loquercio, A.: Deep Drone Acrobatics
with: Loquercio, A.: Learning High-Speed Flight in the Wild
with: Maksymets, O.: Habitat: A Platform for Embodied AI Research
with: Malik, J.: Habitat: A Platform for Embodied AI Research
with: Miller, S.: Elastic Fragments for Dense Scene Reconstruction
with: Monakhova, K.: Dancing under the stars: video denoising in starlight
with: Mueller, M.: Learning High-Speed Flight in the Wild
with: Muller, M.: Deep Drone Acrobatics
with: Ng, R.: Zoom to Learn, Learn to Zoom
with: Ouyang, H.: Hiding Video in Audio via Reversible Generative Models
with: Parikh, D.: Habitat: A Platform for Embodied AI Research
with: Park, J.: Colored Point Cloud Registration Revisited
with: Park, J.: Fast Global Registration
with: Park, J.: Fully Convolutional Geometric Features
with: Park, J.: High-Dimensional Convolutional Networks for Geometric Patter...
with: Park, J.: Tangent Convolutions for Dense Prediction in 3D
with: Qi, C.Y.: Shape from Polarization for Complex Scenes in the Wild
with: Qi, X.: Semi-Parametric Image Synthesis
with: Ranflt, R.: Learning High-Speed Flight in the Wild
with: Ranftl, R.: Accurate Optical Flow via Direct Cost Volume Processing
with: Ranftl, R.: Deep Drone Acrobatics
with: Ranftl, R.: Deep Fundamental Matrix Estimation
with: Ranftl, R.: Dense Monocular Depth Estimation in Complex Dynamic Scenes
with: Ranftl, R.: Events-To-Video: Bringing Modern Computer Vision to Event ...
with: Ranftl, R.: High Speed and High Dynamic Range Video with an Event Camera
with: Ranftl, R.: High-Dimensional Convolutional Networks for Geometric Patt...
with: Ranftl, R.: Towards Robust Monocular Depth Estimation: Mixing Datasets...
with: Ranftl, R.: Vision Transformers for Dense Prediction
with: Ranftl, R.: What Do Single-View 3D Reconstruction Networks Learn?
with: Rebecq, H.: Events-To-Video: Bringing Modern Computer Vision to Event ...
with: Rebecq, H.: High Speed and High Dynamic Range Video with an Event Camera
with: Richter, S.R.: Dancing under the stars: video denoising in starlight
with: Richter, S.R.: Enhancing Photorealism Enhancement
with: Richter, S.R.: Playing for Benchmarks
with: Richter, S.R.: Playing for Data: Ground Truth from Computer Games
with: Richter, S.R.: What Do Single-View 3D Reconstruction Networks Learn?
with: Riegler, G.: Connecting the Dots: Learning Representations for Active ...
with: Riegler, G.: Free View Synthesis
with: Riegler, G.: On Joint Estimation of Pose, Geometry and svBRDF From a H...
with: Riegler, G.: Stable View Synthesis
with: Roth, S.: Playing for Data: Ground Truth from Computer Games
with: Savva, M.: Habitat: A Platform for Embodied AI Research
with: Scaramuzza, D.: Deep Drone Acrobatics
with: Scaramuzza, D.: Events-To-Video: Bringing Modern Computer Vision to Ev...
with: Scaramuzza, D.: High Speed and High Dynamic Range Video with an Event ...
with: Scaramuzza, D.: Learning High-Speed Flight in the Wild
with: Schindler, K.: Towards Robust Monocular Depth Estimation: Mixing Datas...
with: Schmitt, C.: On Joint Estimation of Pose, Geometry and svBRDF From a H...
with: Sener, O.: Drinking From a Firehose: Continual Learning With Web-Scale...
with: Sener, O.: MSeg: A Composite Dataset for Multi-Domain Semantic Segment...
with: Sener, O.: Online Continual Learning with Natural Distribution Shifts:...
with: Sha, F.: Drinking From a Firehose: Continual Learning With Web-Scale N...
with: Straub, J.: Habitat: A Platform for Embodied AI Research
with: Tatarchenko, M.: Tangent Convolutions for Dense Prediction in 3D
with: Tatarchenko, M.: What Do Single-View 3D Reconstruction Networks Learn?
with: Torr, P.H.S.: Point Transformer
with: Ummenhofer, B.: Adaptive Surface Reconstruction with Multiscale Convol...
with: Vineet, V.: Dense Monocular Depth Estimation in Complex Dynamic Scenes
with: Vineet, V.: Feature Space Optimization for Semantic Video Segmentation
with: Vineet, V.: Playing for Data: Ground Truth from Computer Games
with: Waller, L.: Dancing under the stars: video denoising in starlight
with: Wetzstein, G.: Acoustic Non-Line-Of-Sight Imaging
with: Wijmans, E.: Habitat: A Platform for Embodied AI Research
with: Xie, J.X.: Shape from Polarization for Complex Scenes in the Wild
with: Xu, J.: Accurate Optical Flow via Direct Cost Volume Processing
with: Xu, J.: Fast Image Processing with Fully-Convolutional Networks
with: Xu, J.: Learning to See in the Dark
with: Yang, H.: Hiding Video in Audio via Reversible Generative Models
with: Yang, H.: Self-supervised Geometric Perception
with: Yin, T.W.: Global Tracking Transformers
with: Yu, F.: Dilated Residual Networks
with: Zhang, X.: Zoom to Learn, Learn to Zoom
with: Zhao, H.S.: Exploring Self-Attention for Image Recognition
with: Zhao, H.S.: Point Transformer
with: Zhao, Y.: Habitat: A Platform for Embodied AI Research
with: Zhou, Q.Y.: Colored Point Cloud Registration Revisited
with: Zhou, Q.Y.: Depth camera tracking with contour cues
with: Zhou, Q.Y.: Elastic Fragments for Dense Scene Reconstruction
with: Zhou, Q.Y.: Fast Global Registration
with: Zhou, Q.Y.: Learning Compact Geometric Features
with: Zhou, Q.Y.: Robust reconstruction of indoor scenes
with: Zhou, Q.Y.: Simultaneous Localization and Calibration: Self-Calibratio...
with: Zhou, Q.Y.: Tangent Convolutions for Dense Prediction in 3D
with: Zhou, X.Y.: Global Tracking Transformers
with: Zhou, X.Y.: Simple Multi-dataset Detection
with: Zhou, X.Y.: Tracking Objects as Points
170 for Koltun, V.
Koltunov, A.
Standard Author Listing
with: Balzter, H.: Extrapolating Forest Canopy Fuel Properties in the Califo...
with: Casas, A.: Extrapolating Forest Canopy Fuel Properties in the Californ...
with: Garcia, M.: Extrapolating Forest Canopy Fuel Properties in the Califor...
with: Khanna, S.: Marsh Loss Due to Cumulative Impacts of Hurricane Isaac an...
with: Lay, M.: Marsh Loss Due to Cumulative Impacts of Hurricane Isaac and t...
with: Ramirez, C.: Extrapolating Forest Canopy Fuel Properties in the Califo...
with: Saatchi, S.: Extrapolating Forest Canopy Fuel Properties in the Califo...
with: Santos, M.J.: Marsh Loss Due to Cumulative Impacts of Hurricane Isaac ...
with: Shapiro, K.D.: Marsh Loss Due to Cumulative Impacts of Hurricane Isaac...
with: Ustin, S.L.: Extrapolating Forest Canopy Fuel Properties in the Califo...
with: Ustin, S.L.: Marsh Loss Due to Cumulative Impacts of Hurricane Isaac a...
11 for Koltunov, A.