Search Results for author: Hou-Ning Hu

Found 7 papers, 5 papers with code

Monocular Quasi-Dense 3D Object Tracking

1 code implementation12 Mar 2021 Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun

Experiments on our proposed simulation data and real-world benchmarks, including KITTI, nuScenes, and Waymo datasets, show that our tracking framework offers robust object association and tracking on urban-driving scenarios.

3D Object Tracking Autonomous Driving +2

3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization

1 code implementation5 Apr 2019 Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

The complementary characteristics of active and passive depth sensing techniques motivate the fusion of the Li-DAR sensor and stereo camera for improved depth perception.

Depth Completion Stereo-LiDAR Fusion +2

Joint Monocular 3D Vehicle Detection and Tracking

1 code implementation ICCV 2019 Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu

The framework can not only associate detections of vehicles in motion over time, but also estimate their complete 3D bounding box information from a sequence of 2D images captured on a moving platform.

3D Object Detection 3D Pose Estimation +4

Self-Supervised Learning of Depth and Camera Motion from 360° Videos

no code implementations13 Nov 2018 Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng, Juan-Ting Lin, Shang-Ta Yang, Meng-Li Shih, Hung-Kuo Chu, Min Sun

We propose a novel self-supervised learning approach for predicting the omnidirectional depth and camera motion from a 360{\deg} video.

Depth And Camera Motion Motion Estimation +2

Self-view Grounding Given a Narrated 360° Video

1 code implementation23 Nov 2017 Shih-Han Chou, Yi-Chun Chen, Kuo-Hao Zeng, Hou-Ning Hu, Jianlong Fu, Min Sun

The negative log reconstruction loss of the reverse sentence (referred to as "irrelevant loss") is jointly minimized to encourage the reverse sentence to be different from the given sentence.

Visual Grounding

Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360deg Sports Videos

no code implementations CVPR 2017 Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun

Given the main object and previously selected viewing angles, our method regresses a shift in viewing angle to move to the next one.

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video

1 code implementation CVPR 2017 Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun

Watching a 360{\deg} sports video requires a viewer to continuously select a viewing angle, either through a sequence of mouse clicks or head movements.

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