Bottleneck potentials in Markov Random Fields
Comments Published in ICCV 2019 as Oral
期刊&会议
ICCV
International Conference on Computer Vision · 会议 · Computer Vision
Multi-View Stereo by Temporal Nonparametric Fusion
Comments ICCV 2019
Learning to Paint With Model-based Deep Reinforcement Learning
Comments Accepted to ICCV 2019
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Comments Accepted to ICCV'19
Deep Meta Learning for Real-Time Target-Aware Visual Tracking
Comments To appear in ICCV 2019
Canonical Surface Mapping via Geometric Cycle Consistency
Comments To appear at ICCV 2019. Project page: https://nileshkulkarni.github.io/csm/
Dual Adversarial Inference for Text-to-Image Synthesis
Comments Accepted to ICCV 2019
Why Does a Visual Question Have Different Answers?
Journal ref The IEEE International Conference on Computer Vision (ICCV) 2019
View N-gram Network for 3D Object Retrieval
Comments The paper was accepted to ICCV 2019
Guided Super-Resolution as Pixel-to-Pixel Transformation
Comments Extended version, ICCV 2019
Laplace Landmark Localization
Comments International Conference on Computer Vision (ICCV), 2019
Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
Comments Accepted to ICCV 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Comments Accepted by ICCV 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Comments IEEE ICCV 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Comments Accepted to ICCV 2019, and Winner solution to both tracks of CVPR IMW 2019 Challenge. Code will be available soon at https://github.com/zjhthu/OANet.git
A Closed-form Solution to Universal Style Transfer
Comments Accepted to ICCV 2019. Code is available at https://github.com/lu-m13/OptimalStyleTransfer
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
Comments Accepted at ICCV 2019
Learning Single Camera Depth Estimation using Dual-Pixels
Comments Accepted to ICCV 2019 (oral)
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Comments Accepted to ICCV 2019. Code: https://github.com/czq142857/BAE-NET Supplementary material: https://www.sfu.ca/~zhiqinc/imseg/sup.pdf
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Comments ICCV 2019 Camera ready version. Codes are available on https://github.com/liuzechun/MetaPruning
3D Face Modeling From Diverse Raw Scan Data
Comments to appear in ICCV 2019
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation
Comments ICCV 2019
Point-Based Multi-View Stereo Network
Comments Accepted as ICCV 2019 oral presentation
Local Supports Global: Deep Camera Relocalization with Sequence Enhancement
Comments Accept to ICCV 2019
Transferable Representation Learning in Vision-and-Language Navigation
Comments To appear in ICCV 2019
Recognizing Part Attributes with Insufficient Data
Comments To appear in ICCV 2019
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
Comments This paper was accepted to IEEE ICCV 2019. Model codes are publicly available on GitHub: https://github.com/D-X-Y/landmark-detection
Unsupervised Pre-Training of Image Features on Non-Curated Data
Comments Accepted at ICCV 2019 (Oral)
Defending Against Universal Perturbations With Shared Adversarial Training
Comments ICCV 2019, 8 main pages, 9 appendix pages, 16 figures, 2 tables
Deep Comprehensive Correlation Mining for Image Clustering
Comments Accepted to ICCV 2019
