A Continual Learning Survey: Defying Forgetting in Classification Tasks | 15 | 0.99 | 2022 |
TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders | 0 | 0.34 | 2022 |
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline. | 0 | 0.34 | 2022 |
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. | 0 | 0.34 | 2022 |
Model-Based Image Signal Processors via Learnable Dictionaries. | 0 | 0.34 | 2022 |
Learning Frequency Domain Priors for Image Demoireing | 2 | 0.36 | 2022 |
Prompting for Multi-Modal Tracking | 0 | 0.34 | 2022 |
Learning a Model-Driven Variational Network for Deformable Image Registration | 0 | 0.34 | 2022 |
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results | 0 | 0.34 | 2022 |
Repurposing existing deep networks for caption and aesthetic-guided image cropping | 0 | 0.34 | 2022 |
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images | 0 | 0.34 | 2022 |
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results | 9 | 0.47 | 2021 |
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism | 1 | 0.35 | 2021 |
A Survey on Neural Network Interpretability | 4 | 0.42 | 2021 |
Motion-Aware Ensemble Of Three-Mode Trackers For Unmanned Aerial Vehicles | 0 | 0.34 | 2021 |
The Ninth Visual Object Tracking VOT2021 Challenge Results | 0 | 0.34 | 2021 |
Depth-only Object Tracking. | 0 | 0.34 | 2021 |
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem | 1 | 0.36 | 2020 |
A Multi-Hypothesis Approach To Color Constancy | 0 | 0.34 | 2020 |
Cognitive Relevance Transform for Population Re-Targeting. | 0 | 0.34 | 2020 |
Quantifying The Use Of Domain Randomization | 0 | 0.34 | 2020 |
The Eighth Visual Object Tracking VOT2020 Challenge Results. | 3 | 0.46 | 2020 |
NTIRE 2020 Challenge on Image Demoireing: Methods and Results | 0 | 0.34 | 2020 |
G2l-Net: Global To Local Network For Real-Time 6d Pose Estimation With Embedding Vector Features | 3 | 0.37 | 2020 |
Image Demoireing With Learnable Bandpass Filters | 1 | 0.34 | 2020 |
Learning Manipulation under Physics Constraints with Visual Perception. | 0 | 0.34 | 2019 |
Dynamic grasp and trajectory planning for moving objects | 4 | 0.44 | 2019 |
Spatially-Adaptive Filter Units For Compact And Efficient Deep Neural Networks | 0 | 0.34 | 2019 |
Learning to Exploit Stability for 3D Scene Parsing. | 2 | 0.36 | 2018 |
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images. | 1 | 0.34 | 2018 |
Dynamic multi-level appearance models and adaptive clustered decision trees for single target tracking. | 2 | 0.35 | 2017 |
Evaluating Deep Convolutional Neural Networks For Material Classification | 1 | 0.36 | 2017 |
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data? | 0 | 0.34 | 2017 |
Detection Of Human Rights Violations In Images: Can Convolutional Neural Networks Help? | 2 | 0.38 | 2017 |
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction. | 10 | 0.56 | 2016 |
Image-based Registration for a Neurosurgical Robot: Comparison Using Iterative Closest Point and Coherent Point Drift Algorithms. | 0 | 0.34 | 2016 |
Robust visual tracking using template anchors | 0 | 0.34 | 2016 |
A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors. | 1 | 0.35 | 2016 |
Visual object tracking performance measures revisited. | 35 | 0.96 | 2015 |
A hierarchical approach for joint multi-view object pose estimation and categorization | 1 | 0.34 | 2015 |
Categorisation of 3D Objects in Range Images Using Compositional Hierarchies of Parts Based on MDL and Entropy Selection Criteria. | 0 | 0.34 | 2015 |
A Novel Performance Evaluation Methodology for Single-Target Trackers. | 103 | 2.93 | 2015 |
The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results | 1 | 0.35 | 2015 |
Online Discriminative Kernel Density Estimator With Gaussian Kernels | 13 | 0.64 | 2014 |
Object Categorization from Range Images Using a Hierarchical Compositional Representation | 3 | 0.37 | 2014 |
Feature selection for object detection: The best group vs. the group of best | 0 | 0.34 | 2014 |
The Visual Object Tracking VOT2016 Challenge Results | 158 | 3.53 | 2014 |
Is my new tracker really better than yours? | 22 | 0.78 | 2014 |
Deep hierarchies in the primate visual cortex: what can we learn for computer vision? | 105 | 2.86 | 2013 |
Learning Compositional Hierarchies of a Sensorimotor System. | 1 | 0.39 | 2013 |