Paper-Conference

RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation
Extracting motion information from videos with optical flow estimation is vital in multiple practical robot applications. Current …
Henrique Morimitsu, Xiaobin Zhu, Roberto M. Cesar-Jr., Xiangyang Ji, Xu-Cheng Yin
PDF Cite Code Video
RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
Optical flow estimation is a challenging task consisting of predicting per-pixel motion vectors between images. Recent methods have …
Henrique Morimitsu, Xiaobin Zhu, Xiangyang Ji, Xu-Cheng Yin
PDF Cite Code Video DOI
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
CCMB: A Large-scale Chinese Cross-modal Benchmark
Vision-language pre-training (VLP) on large-scale datasets has shown premier performance on various downstream tasks. In contrast to …
Chunyu Xie, Heng Cai, Jincheng Li, Fanjing Kong, Xiaoyu Wu, Jianfei Song, Henrique Morimitsu, Lin Yao, Dexin Wang, Xiangzheng Zhang, Dawei Leng, Baochang Zhang, Xiangyang Ji, Yafeng Deng
PDF Cite Code Dataset DOI
CCMB: A Large-scale Chinese Cross-modal Benchmark
A Unified Framework for Piecewise Semantic Reconstruction in Dynamic Scenes via Exploiting Superpixel Relations
This paper presents a novel framework for dense piecewise semantic reconstruction in dynamic scenes containing complex background and …
Yan Di, Henrique Morimitsu, Zhiqiang Lou, Xiangyang Ji
PDF Cite DOI
A Unified Framework for Piecewise Semantic Reconstruction in Dynamic Scenes via Exploiting Superpixel Relations
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations
In this paper, we propose a novel and specially designed method for piecewise dense monocular depth estimation in dynamic scenes. We …
Yan Di, Henrique Morimitsu, Shan Gao, Xiangyang Ji
PDF Cite DOI
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations
Multiple Context Features in Siamese Networks for Visual Object Tracking
Siamese networks have been successfully utilized to learn a robust matching function between pairs of images. Visual object tracking …
Henrique Morimitsu
PDF Cite Code DOI
Multiple Context Features in Siamese Networks for Visual Object Tracking
Attributed Graphs for Tracking Multiple Objects in Structured Sports Videos
In this paper we propose a novel approach for tracking multiple object in structured sports videos using graphs. The objects are …
Henrique Morimitsu, Roberto M. Cesar-Jr., Isabelle Bloch
PDF Cite Code DOI
Attributed Graphs for Tracking Multiple Objects in Structured Sports Videos
A Spatio-Temporal Approach for Multiple Object Detection in Videos Using Graphs and Probability Maps
This paper presents a novel framework for object detection in videos that considers both structural and temporal information. Detection …
Henrique Morimitsu, Roberto M. Cesar-Jr., Isabelle Bloch
Cite DOI
A Spatio-Temporal Approach for Multiple Object Detection in Videos Using Graphs and Probability Maps
A Graph-based Approach for Object Detection and Action Recognition in Videos
Recently, the field of action and activity recognition in videos has been receiving a lot of attention. However, in order to be able to …
Henrique Morimitsu, Roberto M. Cesar-Jr., Isabelle Bloch
PDF Cite
A Graph-based Approach for Object Detection and Action Recognition in Videos
Wi-fi and Keygraphs for Localization with Cell Phone
We present a mobile device application that uses information from Wi-Fi signals and from the device’s camera to help the localization …
Henrique Morimitsu, Rodrigo B. Pimentel, Marcelo Hashimoto, Roberto M. Cesar-Jr., Roberto Hirata-Jr.
PDF Cite DOI
Wi-fi and Keygraphs for Localization with Cell Phone