| Ego4D: Around the World in 3,000 Hours of Egocentric Video | 0 | 0.34 | 2022 |
| Convolutional Ordinal Regression Forest for Image Ordinal Estimation | 2 | 0.37 | 2022 |
| Perceptual Artifacts Localization for Inpainting. | 0 | 0.34 | 2022 |
| Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies | 0 | 0.34 | 2022 |
| Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-curation | 0 | 0.34 | 2022 |
| Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications. | 0 | 0.34 | 2022 |
| Towards Statistically Provable Geometric 3d Human Pose Recovery | 0 | 0.34 | 2021 |
| Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III. | 0 | 0.34 | 2020 |
| Nested Scale-Editing For Conditional Image Synthesis | 0 | 0.34 | 2020 |
| Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II. | 0 | 0.34 | 2020 |
| Toward Continuous-Time Representations of Human Motion. | 0 | 0.34 | 2020 |
| Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I. | 0 | 0.34 | 2020 |
| Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part VI. | 0 | 0.34 | 2020 |
| Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part V. | 0 | 0.34 | 2020 |
| Image Compression With Laplacian Guided Scale Space Inpainting | 0 | 0.34 | 2020 |
| Pointspherical: Deep Shape Context For Point Cloud Learning In Spherical Coordinates | 0 | 0.34 | 2020 |
| Deep Image Blending | 0 | 0.34 | 2020 |
| Force from Motion: Decoding Control Force of Activity in a First Person Video. | 0 | 0.34 | 2020 |
| Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV. | 0 | 0.34 | 2020 |
| Consistent Optimization for Single-Shot Object Detection. | 3 | 0.37 | 2019 |
| FoveaBox: Beyond Anchor-based Object Detector. | 12 | 0.52 | 2019 |
| Adversarial Structure Matching For Structured Prediction Tasks | 3 | 0.37 | 2019 |
| Normalized Diversification. | 0 | 0.34 | 2019 |
| Trajectory Normalized Gradients for Distributed Optimization. | 0 | 0.34 | 2019 |
| Learning Temporal Pose Estimation from Sparsely-Labeled Videos. | 3 | 0.38 | 2019 |
| EncryptGAN: Image Steganography with Domain Transform. | 0 | 0.34 | 2019 |
| Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis. | 0 | 0.34 | 2018 |
| Learning Discriminative Motion Features Through Detection. | 2 | 0.37 | 2018 |
| Zoom-In-To-Check: Boosting Video Interpolation Via Instance-Level Discrimination | 2 | 0.36 | 2018 |
| Adversarial Structure Matching Loss for Image Segmentation. | 1 | 0.34 | 2018 |
| Customizing First Person Image Through Desired Actions. | 0 | 0.34 | 2017 |
| Using Cross-Model EgoSupervision to Learn Cooperative Basketball Intention. | 0 | 0.34 | 2017 |
| Motion-Based Temporal Alignment of Independently Moving Cameras. | 1 | 0.35 | 2017 |
| Semantic Segmentation With Boundary Neural Fields | 20 | 0.72 | 2016 |
| Am I a Baller? Basketball Skill Assessment using First-Person Cameras. | 0 | 0.34 | 2016 |
| Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. | 9 | 0.72 | 2016 |
| Force From Motion: Decoding Physical Sensation In A First Person Video | 0 | 0.34 | 2016 |
| Social Behavior Prediction from First Person Videos. | 0 | 0.34 | 2016 |
| Exploiting Visual-Spatial First-Person Co-Occurrence for Action-Object Detection without Labels. | 0 | 0.34 | 2016 |
| Integrated Intelligence for Human-Robot Teams. | 0 | 0.34 | 2016 |
| First Person Action-Object Detection with EgoNet. | 3 | 0.37 | 2016 |
| Future Localization from an Egocentric Depth Image | 0 | 0.34 | 2015 |
| High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision. | 36 | 1.64 | 2015 |
| Exploiting Egocentric Object Prior for 3D Saliency Detection | 2 | 0.36 | 2015 |
| Pulling Things out of Perspective | 116 | 4.19 | 2014 |
| DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection. | 92 | 2.06 | 2014 |
| Pose from Flow and Flow from Pose | 28 | 0.76 | 2013 |
| Nested Shape Descriptors | 7 | 0.45 | 2013 |
| Machine learning of hierarchical clustering to segment n-dimensional images | 1 | 0.35 | 2013 |
| Structural-flow trajectories for unravelling 3D tubular bundles. | 1 | 0.36 | 2012 |
