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在这里先整理一些主题系列论文:
ICCV 2017- 3D Vision Oral论文如下:
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
Robust Pseudo Random Fields for Light-Field Stereo Matching
A Lightweight Approach for On-The-Fly Reflectance Estimation
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus
Practical Projective Structure From Motion (P2SfM)
ICCV 2017- Recognition 论文如下:
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
No Fuss Distance Metric Learning Using Proxies
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification
Fashion Forward: Forecasting Visual Style in Fashion
Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach
Flow-Guided Feature Aggregation for Video Object Detection
Reasoning About Fine-Grained Attribute Phrases Using Reference Games
ICCV 2017- Statistical Methods & Learning 论文如下:
Towards Context-Aware Interaction Recognition for Visual Relationship Detection
When Unsupervised Domain Adaptation Meets Tensor Representations
Look, Listen and Learn
Grad-CAM: Visual Explanations From Deep Networks via Gradient-Based Localization
Image-Based Localization Using LSTMs for Structured Feature Correlation
ICCV 2017- Video 论文如下:
A Read-Write Memory Network for Movie Story Understanding
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
Unsupervised Action Discovery and Localization in Videos
Dense-Captioning Events in Videos
Learning Long-Term Dependencies for Action Recognition With a Biologically-Inspired Deep Network
Compressive Quantization for Fast Object Instance Search in Videos
Complex Event Detection by Identifying Reliable Shots From Untrimmed Videos
ICCV 2017- Face & Gesture 论文如下:
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification
Stepwise Metric Promotion for Unsupervised Video Person Re-Identification
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
Visual Transformation Aided Contrastive Learning for Video-Based Kinship Verification
原文地址:http://openaccess.thecvf.com/ICCV2017.py
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