Adapters Strike Back.
|
CVPR |
2024 |
0 |
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods.
|
ICCV |
2023 |
0 |
Vision Relation Transformer for Unbiased Scene Graph Generation.
|
ICCV |
2023 |
0 |
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring.
|
TPAMI |
2022 |
0 |
Dense Unsupervised Learning for Video Segmentation.
|
NIPS/NeurIPS |
2021 |
7 |
PixelPyramids: Exact Inference Models from Lossless Image Pyramids.
|
ICCV |
2021 |
0 |
Fast Axiomatic Attribution for Neural Networks.
|
NIPS/NeurIPS |
2021 |
4 |
Self-Supervised Multi-Frame Monocular Scene Flow.
|
CVPR |
2021 |
18 |
Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation.
|
CVPR |
2021 |
71 |
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring.
|
CVPR |
2021 |
10 |
Single-Stage Semantic Segmentation From Image Labels.
|
CVPR |
2020 |
89 |
Self-Supervised Monocular Scene Flow Estimation.
|
CVPR |
2020 |
63 |
Probabilistic Pixel-Adaptive Refinement Networks.
|
CVPR |
2020 |
7 |
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning.
|
IROS |
2020 |
7 |
Normalizing Flows With Multi-Scale Autoregressive Priors.
|
CVPR |
2020 |
8 |
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings.
|
ICLR |
2020 |
25 |
Diverse Image Captioning with Context-Object Split Latent Spaces.
|
NIPS/NeurIPS |
2020 |
17 |
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving.
|
ICRA |
2020 |
0 |
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring.
|
NIPS/NeurIPS |
2020 |
0 |
Actor-Critic Instance Segmentation.
|
CVPR |
2019 |
11 |
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving.
|
IROS |
2019 |
37 |
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation.
|
CVPR |
2019 |
166 |
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers.
|
CVPR |
2018 |
117 |
Neural Nearest Neighbors Networks.
|
NIPS/NeurIPS |
2018 |
249 |
Stochastic Variational Inference With Gradient Linearization.
|
CVPR |
2018 |
2 |
Normalized Blind Deconvolution.
|
ECCV |
2018 |
31 |
Lightweight Probabilistic Deep Networks.
|
CVPR |
2018 |
125 |
Detail-Preserving Pooling in Deep Networks.
|
CVPR |
2018 |
75 |
UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss.
|
AAAI |
2018 |
0 |
Noise-Blind Image Deblurring.
|
CVPR |
2017 |
37 |
ProbFlow: Joint Optical Flow and Uncertainty Estimation.
|
ICCV |
2017 |
41 |
Benchmarking Denoising Algorithms with Real Photographs.
|
CVPR |
2017 |
383 |
Tree-Structured Models for Efficient Multi-Cue Scene Labeling.
|
TPAMI |
2017 |
12 |
MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation.
|
ICCV |
2017 |
81 |
Stereo Video Deblurring.
|
ECCV |
2016 |
42 |
The Cityscapes Dataset for Semantic Urban Scene Understanding.
|
CVPR |
2016 |
7451 |
Playing for Data: Ground Truth from Computer Games.
|
ECCV |
2016 |
1348 |
Parametric Object Motion from Blur.
|
CVPR |
2016 |
21 |
Multi-Target Tracking by Discrete-Continuous Energy Minimization.
|
TPAMI |
2016 |
149 |
Cascades of Regression Tree Fields for Image Restoration.
|
TPAMI |
2016 |
0 |
Registering Images to Untextured Geometry Using Average Shading Gradients.
|
ICCV |
2015 |
11 |
Discriminative shape from shading in uncalibrated illumination.
|
CVPR |
2015 |
57 |
Shrinkage Fields for Effective Image Restoration.
|
CVPR |
2014 |
470 |
Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding.
|
ECCV |
2014 |
65 |
Continuous Energy Minimization for Multitarget Tracking.
|
TPAMI |
2014 |
556 |
View-Consistent 3D Scene Flow Estimation over Multiple Frames.
|
ECCV |
2014 |
65 |
Learning People Detectors for Tracking in Crowded Scenes.
|
ICCV |
2013 |
94 |
Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes.
|
TPAMI |
2013 |
103 |
Discriminative Non-blind Deblurring.
|
CVPR |
2013 |
113 |
Detection- and Trajectory-Level Exclusion in Multiple Object Tracking.
|
CVPR |
2013 |
206 |
Piecewise Rigid Scene Flow.
|
ICCV |
2013 |
208 |
Learning rotation-aware features: From invariant priors to equivariant descriptors.
|
CVPR |
2012 |
90 |
Discrete-continuous optimization for multi-target tracking.
|
CVPR |
2012 |
350 |
3D scene flow estimation with a rigid motion prior.
|
ICCV |
2011 |
95 |
Connecting non-quadratic variational models and MRFs.
|
CVPR |
2011 |
2 |
Monocular 3D scene understanding with explicit occlusion reasoning.
|
CVPR |
2011 |
82 |
Bayesian deblurring with integrated noise estimation.
|
CVPR |
2011 |
72 |
Vision based victim detection from unmanned aerial vehicles.
|
IROS |
2010 |
107 |
A generative perspective on MRFs in low-level vision.
|
CVPR |
2010 |
147 |
Monocular 3D pose estimation and tracking by detection.
|
CVPR |
2010 |
560 |
Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes.
|
ECCV |
2010 |
94 |
Secrets of optical flow estimation and their principles.
|
CVPR |
2010 |
1502 |
Fusion Moves for Markov Random Field Optimization.
|
TPAMI |
2010 |
247 |
Automatic discovery of meaningful object parts with latent CRFs.
|
CVPR |
2010 |
56 |
Discriminative structure learning of hierarchical representations for object detection.
|
CVPR |
2009 |
69 |
Pictorial structures revisited: People detection and articulated pose estimation.
|
CVPR |
2009 |
851 |
Learning Optical Flow.
|
ECCV |
2008 |
269 |
FusionFlow: Discrete-continuous optimization for optical flow estimation.
|
CVPR |
2008 |
182 |
People-tracking-by-detection and people-detection-by-tracking.
|
CVPR |
2008 |
955 |
A Database and Evaluation Methodology for Optical Flow.
|
ICCV |
2007 |
2586 |
Steerable Random Fields.
|
ICCV |
2007 |
72 |
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields.
|
ECCV |
2006 |
218 |
Specular Flow and the Recovery of Surface Structure.
|
CVPR |
2006 |
92 |
Fields of Experts: A Framework for Learning Image Priors.
|
CVPR |
2005 |
1103 |
On the Spatial Statistics of Optical Flow.
|
ICCV |
2005 |
306 |
Modeling Neural Population Spiking Activity with Gibbs Distributions.
|
NIPS/NeurIPS |
2005 |
12 |
Gibbs Likelihoods for Bayesian Tracking.
|
CVPR |
2004 |
39 |
Tracking Loose-Limbed People.
|
CVPR |
2004 |
461 |