| 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 |
