Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
Comments new version for WACV
期刊&会议
WACV
Winter Conference on Applications of Computer Vision · 会议 · Computer Vision
RGBD2lux: Dense light intensity estimation with an RGBD sensor
Comments 10 pages, 9 figures, this manuscript is accepted in WACV 2019
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold
Comments Accepted at WACV 2019
MURAUER: Mapping Unlabeled Real Data for Label AUstERity
Comments WACV 2019; Project page at https://poier.github.io/murauer
Learning Privacy Preserving Encodings through Adversarial Training
Comments To appear in WACV 2019
TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade
Comments 9 pages(including references); WACV 2019
A Fusion Approach for Multi-Frame Optical Flow Estimation
Comments Work accepted at IEEE Winter Conference on Applications of Computer Vision (WACV 2019)
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds
Comments To appear at WACV 2019
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments
Comments WACV'19
Predicting Gender from Iris Texture May Be Harder Than It Seems
Comments Paper accepted for publication at the IEEE Winter Conference on Applications of Computer Vision - 2019
Matching Disparate Image Pairs Using Shape-Aware ConvNets
Comments First two authors contributed equally, to Appear in the IEEE Winter Conference on Applications of Computer Vision (WACV) 2019
CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database
Comments IEEE Winter Conference on Applications of Computer Vision. arXiv admin note: text overlap with arXiv:1808.08348
Instance-based Deep Transfer Learning
Comments Accepted to WACV 2019. This is a preprint version
A Joint 3D-2D based Method for Free Space Detection on Roads
Comments Accepted for publication at IEEE WACV 2018
Computing Egomotion with Local Loop Closures for Egocentric Videos
Comments Accepted in WACV 2017
Self Paced Adversarial Training for Multimodal Few-shot Learning
Comments To appear at WACV 2019
BRDF Estimation of Complex Materials with Nested Learning
Comments Accepted to IEEE Winter Conference on Applications of Computer Vision 2019 (WACV 2019)
Mask R-CNN with Pyramid Attention Network for Scene Text Detection
Comments Accepted by WACV 2019
MAC: Mining Activity Concepts for Language-based Temporal Localization
Comments WACV 2019
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos
Comments To appear in IEEE Winter Conference on Applications of Computer Vision (WACV) 2019
Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation
Comments accepted in WACV 2019
Semantic Stereo for Incidental Satellite Images
Comments Accepted publication at WACV 2019
Recurrent Flow-Guided Semantic Forecasting
Comments 10 pages, 5 figures, 8 tables, Accepted to WACV 2019
SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression
Comments 9 Pages, 4 Figures, 6 Tables; Accepted for publication in IEEE Winter Conference on Application of Computer Vision (WACV) 2019, Hawaii, USA
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector
Comments IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
Sensor Adaptation for Improved Semantic Segmentation of Overhead Imagery
Comments Accepted publication at WACV 2019
Stability Based Filter Pruning for Accelerating Deep CNNs
Comments IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
Recurrent Iterative Gating Networks for Semantic Segmentation
Comments WACV 2019
Scalable Logo Recognition using Proxies
Comments Accepted at IEEE WACV 2019, Hawaii USA
Data-Efficient Graph Embedding Learning for PCB Component Detection
Comments Paper accepted in WACV 2019. See https://drive.google.com/open?id=1VkS8n1mKvAWjEPkiOA28XgY6VNfrsWYo for supplementary materials
