| Transforming Model Prediction for Tracking | 0 | 0.34 | 2022 |
| Learning Online Multi-sensor Depth Fusion. | 0 | 0.34 | 2022 |
| Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences | 0 | 0.34 | 2022 |
| On the Practicality of Deterministic Epistemic Uncertainty. | 0 | 0.34 | 2022 |
| Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution | 1 | 0.35 | 2022 |
| LiDAR Snowfall Simulation for Robust 3D Object Detection | 0 | 0.34 | 2022 |
| TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. | 0 | 0.34 | 2022 |
| RePaint: Inpainting using Denoising Diffusion Probabilistic Models | 0 | 0.34 | 2022 |
| Video Mask Transfiner for High-Quality Video Instance Segmentation. | 0 | 0.34 | 2022 |
| SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation | 0 | 0.34 | 2022 |
| Mask Transfiner for High-Quality Instance Segmentation | 0 | 0.34 | 2022 |
| Tracking Every Thing in the Wild. | 0 | 0.34 | 2022 |
| Fast Hierarchical Learning for Few-Shot Object Detection. | 0 | 0.34 | 2022 |
| On the Practicality of Deterministic Epistemic Uncertainty. | 0 | 0.34 | 2022 |
| Generative Cooperative Learning for Unsupervised Video Anomaly Detection | 0 | 0.34 | 2022 |
| Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. | 0 | 0.34 | 2021 |
| Warp Consistency for Unsupervised Learning of Dense Correspondences. | 0 | 0.34 | 2021 |
| Instance-Aware Predictive Navigation in Multi-Agent Environments | 0 | 0.34 | 2021 |
| Quasi-Dense Similarity Learning for Multiple Object Tracking | 2 | 0.41 | 2021 |
| Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation. | 0 | 0.34 | 2021 |
| Robust Object Detection via Instance-Level Temporal Cycle Confusion. | 0 | 0.34 | 2021 |
| Exploring Cross-Image Pixel Contrast for Semantic Segmentation. | 0 | 0.34 | 2021 |
| End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. | 0 | 0.34 | 2021 |
| Learning Saliency Propagation for Semi-Supervised Instance Segmentation | 1 | 0.36 | 2020 |
| Bdd100k: A Diverse Driving Dataset For Heterogeneous Multitask Learning | 14 | 0.54 | 2020 |
| Frustratingly Simple Few-Shot Object Detection | 0 | 0.34 | 2020 |
| Deep Mixture of Experts via Shallow Embedding. | 0 | 0.34 | 2019 |
| Task-Aware Deep Sampling for Feature Generation. | 0 | 0.34 | 2019 |
| Tafe-Net: Task-Aware Feature Embeddings For Low Shot Learning | 3 | 0.38 | 2019 |
| BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. | 37 | 0.86 | 2018 |
| Reinforcement Learning from Imperfect Demonstrations. | 12 | 0.50 | 2018 |
| Hierarchical Discrete Distribution Decomposition For Match Density Estimation | 13 | 0.49 | 2018 |
| Learning Rich Image Representation with Deep Layer Aggregation. | 0 | 0.34 | 2018 |
| PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup | 23 | 0.77 | 2018 |
| Interactive 3D Modeling with a Generative Adversarial Network | 7 | 0.48 | 2017 |
| Semantic Scene Completion from a Single Depth Image | 79 | 2.33 | 2017 |
| Dilated Residual Networks | 46 | 2.29 | 2017 |
| FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. | 13 | 0.46 | 2016 |
| Large-scale 3D shape retrieval from ShapeNet core55 | 3 | 0.36 | 2016 |
| Multi-Scale Context Aggregation by Dilated Convolutions. | 580 | 14.91 | 2015 |
| ShapeNet: An Information-Rich 3D Model Repository | 279 | 7.54 | 2015 |
| LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop | 123 | 7.17 | 2015 |
| 3D Reconstruction from Accidental Motion | 26 | 0.89 | 2014 |
| HelpingHand: example-based stroke stylization | 18 | 0.72 | 2012 |
