Extensions and limitations of randomized smoothing for robustness guarantees
Comments CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision
期刊&会议
CVPR
Conference on Computer Vision and Pattern Recognition · 会议 · Computer Vision
Robust Learning Through Cross-Task Consistency
Comments CVPR 2020 (Oral). Project website, models, live demo at http://consistency.epfl.ch/
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
Comments Accepted to CVPR 2020. Supplementary material added towards the end instead of a separate file. A Github link to the code is also provided in this submission
Enhancing Facial Data Diversity with Style-based Face Aging
Comments IEEE CVPR 2020 WORKSHOP ON FAIR, DATA EFFICIENT AND TRUSTED COMPUTER VISION
Enabling Incremental Knowledge Transfer for Object Detection at the Edge
Comments 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW)
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Comments In CVPR 2019
Elastic Boundary Projection for 3D Medical Image Segmentation
Comments Accepted to CVPR 2019
Novel Object Viewpoint Estimation through Reconstruction Alignment
Comments To appear at CVPR 2020. Project page: https://mbanani.github.io/novelviewpoints/
From two rolling shutters to one global shutter
Comments CVPR 2020
When2com: Multi-Agent Perception via Communication Graph Grouping
Comments Accepted to CVPR 2020; for the project page, see https://ycliu93.github.io/projects/multi-agent-perception.html
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution
Comments accepted by Conference on Computer Vision and Pattern Recognition 2020
Meshlet Priors for 3D Mesh Reconstruction
Comments To be presented at CVPR 2020
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
Comments Accepted to CVPR 2020. 10 pages, 9 figures. Code available at https: //github.com/JianqiangWan/Super-BPD
Robust Object Detection under Occlusion with Context-Aware CompositionalNets
Comments Accepted to CVPR 2020
Bi3D: Stereo Depth Estimation via Binary Classifications
Comments To be presented at CVPR 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
Comments CVPR 2020. (Minor revision on Figure 4, arguments unchanged.)
Neural Topological SLAM for Visual Navigation
Comments Published in CVPR 2020. See the project webpage at https://devendrachaplot.github.io/projects/Neural-Topological-SLAM
Learning from Noisy Anchors for One-stage Object Detection
Comments CVPR 2020 camera ready
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Comments Accepted by CVPR 2020
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
Comments Accepted by CVPR 2020 (oral)
Boosting Few-Shot Learning With Adaptive Margin Loss
Comments Accepted by CVPR 2020
CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents
Comments Paper has been accepted at CVPR Workshop 2020 (CVPR2020 Workshop on Text and Documents in the Deep Learning Era)
A method for detecting text of arbitrary shapes in natural scenes that improves text spotting
Comments Accepted by IEEE CVPR-W 2020
Homogeneous Linear Inequality Constraints for Neural Network Activations
Comments CVPR 2020 DeepVision Workshop
Articulation-aware Canonical Surface Mapping
Comments To appear at CVPR 2020, project page https://nileshkulkarni.github.io/acsm/
Unifying Training and Inference for Panoptic Segmentation
Comments CVPR 2020
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Comments Accepted by CVPR 2020
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection
Comments to be published in CVPR 2020
CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator
Comments the work has been accepted to the AI for content creation workshop at CVPR 2020
SegAttnGAN: Text to Image Generation with Segmentation Attention
Comments Accepted to the AI for Content Creation Workshop at CVPR 2020
