Media Summary: An introduction video for the paper A Large Dataset of Historical Japanese Documents with Complex Layouts, at the Real-Time Panoptic Segmentation From Dense Detections Rui Hou*, Jie Li*, Arjun Bhargava, Allan Raventos, Vitor Guizilini, ... Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data,
Hjdataset Presentation At Cvpr 2020 - Detailed Analysis & Overview
An introduction video for the paper A Large Dataset of Historical Japanese Documents with Complex Layouts, at the Real-Time Panoptic Segmentation From Dense Detections Rui Hou*, Jie Li*, Arjun Bhargava, Allan Raventos, Vitor Guizilini, ... Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data, 5-min Talk for "FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding". We propose a high-quality dataset ... [CVPR 2020 Oral] Quick intro to High-dimensional ConvNets for Geometric Pattern Recognition 5-minute talk for the following paper: Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, and Zsolt Kira, “Action ...
Computer Vision Lab (CVL) made substantial contributions to the IEEE/CVF Conference on Computer Vision and Pattern ... We propose an end-to-end model which generates captions for images embedded in news articles. Our model outperforms the ... AOWS calibrates the width of neural network architectures using slimmable networks and the Viterbi algorithm. Work by Maxim ... A successful point cloud registration often lies on robust establishment of sparse matches through discriminative 3D local features. Focus on defocus: bridging the synthetic to real domain gap for depth estimation Maxim Maximov ...