Improving Depth Estimation Using Map-Based Depth Priors | 0 | 0.34 | 2022 |
Deep Burst Super-Resolution | 3 | 0.38 | 2021 |
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation | 0 | 0.34 | 2021 |
ACDC - The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. | 0 | 0.34 | 2021 |
Direct Dense Pose Estimation | 0 | 0.34 | 2021 |
Don'T Forget The Past: Recurrent Depth Estimation From Monocular Video | 0 | 0.34 | 2020 |
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression | 3 | 0.39 | 2020 |
Depth Estimation from Monocular Images and Sparse Radar Data | 0 | 0.34 | 2020 |
Soft Contrastive Learning for Visual Localization | 0 | 0.34 | 2020 |
Probabilistic Regression For Visual Tracking | 3 | 0.37 | 2020 |
Tracking the Known and the Unknown by Leveraging Semantic Information. | 1 | 0.35 | 2019 |
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency | 7 | 0.43 | 2019 |
Sliced Wasserstein Generative Models | 3 | 0.39 | 2019 |
Image-based Navigation using Visual Features and Map. | 0 | 0.34 | 2018 |
AENet: Learning Deep Audio Features for Video Analysis. | 18 | 0.91 | 2018 |
Integrating Local And Non-Local Denoiser Priors For Image Restoration | 0 | 0.34 | 2018 |
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. | 4 | 0.39 | 2018 |
Repeated Pattern Detection Using CNN Activations | 1 | 0.35 | 2017 |
The WILDTRACK Multi-Camera Person Dataset. | 1 | 0.36 | 2017 |
Generative Autotransporters. | 0 | 0.34 | 2017 |
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. | 7 | 0.45 | 2017 |
PathTrack: Fast Trajectory Annotation with Path Supervision | 4 | 0.52 | 2017 |
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. | 0 | 0.34 | 2017 |
WebVision Database: Visual Learning and Understanding from Web Data. | 9 | 0.43 | 2017 |
Temporal Segment Networks for Action Recognition in Videos. | 39 | 1.25 | 2017 |
The 2017 DAVIS Challenge on Video Object Segmentation. | 14 | 0.61 | 2017 |
Cloud-based collaborative 3D reconstruction using smartphones. | 0 | 0.34 | 2017 |
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination. | 3 | 0.38 | 2016 |
Scale-Aware Alignment of Hierarchical Image Segmentation | 3 | 0.38 | 2016 |
Natural Illumination from Multiple Materials Using Deep Learning. | 0 | 0.34 | 2016 |
Markov Chain Monte Carlo Cascade For Camera Network Calibration Based On Unconstrained Pedestrian Tracklets | 0 | 0.34 | 2016 |
Seven Ways To Improve Example-Based Single Image Super Resolution | 62 | 1.41 | 2016 |
Two-Stream SR-CNNs for Action Recognition in Videos. | 1 | 0.34 | 2016 |
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016. | 4 | 0.52 | 2016 |
Does V-NIR based Image Enhancement Come with Better Features? | 0 | 0.34 | 2016 |
Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images. | 1 | 0.36 | 2016 |
Hand Pose Estimation From Local Surface Normals | 16 | 0.66 | 2016 |
Architectural Decomposition For 3d Landmark Building Understanding | 0 | 0.34 | 2016 |
DEX: Deep EXpectation of Apparent Age from a Single Image | 17 | 0.68 | 2015 |
Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images | 23 | 0.77 | 2014 |
Creating Summaries From User Videos | 72 | 1.89 | 2014 |
Object and Action Classification with Latent Window Parameters | 12 | 0.63 | 2014 |
A unified framework for content-aware view selection and planning through view importance. | 0 | 0.34 | 2014 |
Food-101 - Mining Discriminative Components with Random Forests. | 129 | 3.64 | 2014 |
Derivative-Based Scale Invariant Image Feature Detector With Error Resilience | 8 | 0.51 | 2014 |
Learning to Rank Histograms for Object Retrieval. | 1 | 0.36 | 2014 |
A Plus : Adjusted Anchored Neighborhood Regression For Fast Super-Resolution | 254 | 7.20 | 2014 |
Branch&Rank for Efficient Object Detection | 2 | 0.39 | 2014 |
Example-Based Facade Texture Synthesis | 10 | 0.50 | 2013 |
Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person | 67 | 1.31 | 2013 |